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Rakuten Advertising and Similarweb Power LLM Visibility and Performance Intelligence for Brands

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Rakuten Advertising and Similarweb Power LLM Visibility and Performance Intelligence for Brands

Rakuten Advertising, the leading global affiliate marketing network, and Similarweb, the leader in digital data and market intelligence, announced a strategic collaboration to deliver the affiliate industry’s most powerful and unique data capabilities that help brands better understand and optimize their presence within large language models (LLMs) and across digital marketing channels. As AI reshapes how consumers discover and engage with brands, this partnership is designed to help advertisers move beyond traditional metrics and better understand where and how decisions are increasingly being influenced.

As part of the agreement, Rakuten Advertising will integrate Similarweb’s proprietary, best-in-class data into its analytics and reporting environment, offering brand advertisers deeper visibility into how their content and performance surface in emerging AI-driven discovery channels. Built on real user behavioral data at scale for topics and responses, Similarweb’s insights provide a more comprehensive view of the digital ecosystem, enabling Rakuten Advertising clients to make more informed decisions, reach new customers, and build future-ready performance marketing strategies.

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“As AI-driven platforms redefine digital discovery, brands need a new way to measure and compete for visibility,” said Baruch Toledano, VP and General Manager Digital Marketing Solutions at Similarweb. “Similarweb is at the forefront of helping companies understand their presence in these environments, the synergies between performance channels, and together with Rakuten Advertising, we’re bringing that intelligence directly into the workflows that drive performance.”

The integration underscores Rakuten Advertising’s continued investment in innovation to provide a competitive advantage to its clients in a rapidly evolving digital marketing environment. By incorporating Similarweb’s proprietary data, the company is expanding its ability to help clients measure and improve visibility within generative AI platforms.

Marketing Technology News: Feature-Rich to Functionally Effective: Adjusting your Martech Strategy

“This collaboration unlocks a new level of transparency that gives brands that work with us an edge in a rapidly changing landscape for brand discovery and engagement,” said Nick Stamos, CEO of Rakuten Advertising. “With Similarweb’s data, our clients will have insights that aren’t available anywhere else, helping them better understand their level of visibility in AI-driven environments and turn it into performance.”

The new capabilities will be available initially to a select group of Rakuten Advertising clients, with additional reporting features to be introduced soon. Participating brands will be able to better understand how they are represented within LLMs, access differentiated insights, and tie them more directly to performance.

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Stensul Research Finds AI Adoption Outpacing Governance in Enterprise Marketing, Creating Compounding Risk

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Business Wire
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Stensul Research Finds AI Adoption Outpacing Governance in Enterprise Marketing, Creating Compounding Risk

Stensul logo black

Quantitative survey of 321 U.S. and U.K. marketing technology decision-makers reveals governance gaps tied to higher campaign error rates

Stensul released The MarTech Governance Outlook: Campaign Creation, AI Adoption & Risk, examining how organizations manage campaign creation workflows, AI adoption, and governance maturity. The report finds a widening gap between the speed mandates organizations are setting and the systems in place to meet them safely.

AI adoption is broadly cited as the top organizational mandate for marketing teams in 2026 (38%), and nearly half of respondents (47%) report AI enables campaigns to be created up to 50% faster. Yet 53% of organizations report they do not have comprehensive AI governance in place for marketing campaign creation. Nearly half (44%) report AI adoption has increased compliance or brand risk.

Marketing Technology News: MarTech Interview With Fredrik Skantze, CEO and Co-founder of Funnel

Governance maturity is a strong predictor of campaign error rates. While 40% of organizations experienced one to 10 campaign errors in the past year, nearly nine in 10 organizations without comprehensive governance reported at least one error in the last 12 months. The most common consequence is increased scrutiny and heavier review processes (44%), compounding friction that erodes the speed AI was adopted to create.

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“This research puts hard numbers behind a dynamic we see playing out across enterprise marketing every day,” said Rachel Meranus, Chief Revenue and Marketing Officer at Stensul. “AI is delivering real operational gains — fewer bottlenecks, faster creation, more campaign throughput. But when governance doesn’t evolve alongside it, organizations aren’t just accepting more risk. They’re setting up a cycle where errors trigger scrutiny, scrutiny slows execution, and the speed advantage they invested in gradually disappears.”

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AI Search Is Collapsing Ecommerce Traffic, SimplicityDX Launches Agentic Social Proof

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MTS Staff Writer
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KTGHR Leverages AI-powered Real-Time Transaction Capabilities to Expand Its E-Commerce Infrastructure, Reshaping the Engine of Enterprise Growth.

Industry-First Solution Enables Retail and Ecommerce Brands to Now Convert Creator and Influencer Content Into Machine-Readable Product Validation

• New: Agentic Social Proof injected into product feeds
• World First: Community Vibe FAQ pages optimized for agent consumption
• Unlocked: Critical proof brands already possess, currently locked in creator content

SimplicityDX, the leader in creator commerce, announced the launch of its Agentic Social Proof™ platform. This groundbreaking technology is designed to reverse the steep collapse in organic traffic that brands are experiencing as AI-powered search engines and shopping bots replace traditional keyword searches.

By turning raw creator energy into structured Agentic Social Proof, we help brands move from being invisible to being indispensable in the AI search result.”

— Charles Nicholls

Gartner has doubled its “traffic collapse” projection to 50% as real-world data confirms a crisis (1). Since the expansion of AI Overviews, organic clicks have fallen 42% (2), with a 61% Click Through Rate collapse on AI-summarized queries (3). SimplicityDX bridges this gap, delivering the “Proof of Claim” data required to win AI recommendations.

As Google’s Universal Commerce Protocol (UCP) and AI search engines like OpenAI’s SearchGPT and Perplexity redefine discovery, they prioritize products backed by “proof of claim.” Standard e-commerce sites were never designed to deliver this level of real-world validation. Without structured, machine-readable proof, brands risk being filtered out of AI recommendations entirely. SimplicityDX solves this by providing the critical data layer these agents require to recommend and validate a product.

Marketing Technology News: MarTech Interview with Nicholas Kontopoulous, Vice President of Marketing, Asia Pacific & Japan @ Twilio

The Rise of Deconstructive AI

At the heart of the platform is deconstructive AI which strips down the estimated 1.5 billion new social videos and images uploaded each day into high-fidelity, machine-readable proof.

Under UCP, Google has defined a structure where brands must provide a markdown of this data that is easy for machines to consume. SimplicityDX automates this “deconstruction,” unlocking the independent real-world proof that already exists within a brand’s creator and influencer content.

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“Our platform deconstructs social content to extract a pipeline of the ‘community vibe’ data AI models crave,” said Charles Nicholls, CEO at SimplicityDX. “We don’t just help brands show up; we give them the Agentic Social Proof needed to win the recommendation and the high-performance storefronts to secure the sale.”

Key Capabilities of the Agentic Social Proof Platform

• Fixing the Traffic Collapse: Delivers the real-world validation required by AI search engines and Google’s UCP, ensuring brands remain visible and recommended in an AI-mediated landscape.

• AI Feed Injection: Automatically injects a stream of deconstructed social proof into Google and ChatGPT product feeds, transforming static product data into high-intent, recommended offerings.

• Community Vibe FAQ Pages: Deploys automated on-site FAQ pages at scale that provide the authentic proof of claims required for both AI search and agentic commerce, serving as the ultimate trust signal for humans and bots alike.

• Optimized Creator Storefronts: Secures the sale by instantly deploying automated storefronts on the brand’s domain, eliminating the friction of social-to-web and agent-to-web redirects and driving up to 3x more revenue.

• Agentic Endpoints (MCP): Utilizing Model Context Protocol, SimplicityDX provides the endpoints necessary for autonomous agents to verify social proof and execute transactions programmatically.

Winning the AI Recommendation

The shift to agentic commerce means the path to purchase is now driven by trust and delegation. Whether a shopper is a human using Google AI search or any of the chatbots, SimplicityDX ensures the journey is backed by the community-driven evidence that modern commerce requires.

“We are providing the missing link in the modern commerce stack,” continued Nicholls. “By turning raw creator energy into structured Agentic Social Proof, we help brands move from being invisible to being indispensable in the AI search result.”

Visit SimplicityDX at Shoptalk Spring Booth SU44, March 24-26 in Las Vegas, to see the Agentic Social Proof platform in action.

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

Indexly Announces Mission to Build the AI Visibility OS for the Modern Internet

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MTS Staff Writer
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Indexly Announces Mission to Build the AI Visibility OS for the Modern Internet

20% Off Indexly Promo Code, Coupons (2 Active) March 2026

Indexly, an AI visibility and intelligence platform, helps brands monitor, analyse, and influence how they appear in AI search

Indexly, an AI visibility platform, announced its mission to establish the core infrastructure for AI-driven discovery in the next generation of the internet.

Google can bring you back 100,000 answers. A librarian can bring you back the right one.”

— Neil Gaiman

The rise of generative AI platforms such as ChatGPT, Google AI Overviews, Perplexity and Claude has fundamentally changed how users discover information online. Consumers increasingly rely on AI answers to recommend products, services, and brands—creating a new competitive frontier for businesses: AI visibility.

Indexly addresses this shift by providing companies with a suite that tracks, analyses, and improves how brands are represented in AI-generated responses and discovery systems.

Indexly is increasingly being adopted by growth teams and digital marketing agencies who need scalable infrastructure to manage the visibility of large numbers of web pages and digital assets. These organisations rely on Indexly to streamline Technical SEO workflows, improve content performance and track visibility to identify opportunities to improve their online presence.

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Building the Infrastructure for AI Search
Indexly is positioning itself beyond a typical marketing or SEO tool. The company is developing a comprehensive AI search infrastructure designed for the emerging AI web, where autonomous AI systems increasingly guide user decisions.

By translating AI and market signals into actionable insights, Indexly enables companies with real-time intelligence and recommendations that allow brands to influence the sources and narratives that large language models reference when generating answers.
This intelligence is then translated into recommended actions across content marketing, PR, social media, influencer outreach, and community engagement, helping brands systematically improve their AI presence.

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Powering the Next Era of Brand Discovery
Indexly aims to become the discovery infrastructure layer helping brands navigate and shape the AI-driven ecosystem—from generative search optimisation (GEO) and content intelligence to emerging AI channels and community ecosystems.

“AI systems are becoming the new gateways to the internet,” said Deepti Masurkar, Co-founder at Indexly. “Our mission is to ensure brands understand how these systems perceive them and give them the tools to influence that narrative.”

With growing adoption among marketing teams, agencies, and digital-first businesses, Indexly is rapidly emerging as one of the leading platforms enabling brands to succeed in the era of AI discovery.

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As AI Reshapes Information Discovery, TrustNoww.com Enters With a Focus on Depth

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MTS Staff Writer
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HTAG Analytics Becomes First Australian Proptech to Launch MCP Integrations with Claude and Perplexity AI

Trustnoww

An independent digital publication launches with coverage of AI trust, data governance, and emerging technologies, open to expert contributors worldwide.

The way professionals, researchers, and businesses find and evaluate information is changing. Generative AI systems, conversational search engines, and AI-powered assistants are increasingly mediating how answers are surfaced — compressing the discovery process and replacing traditional search behavior with synthesized, citation-dependent responses. In this environment, the structural quality of published content has become as important as its visibility.

As AI systems increasingly mediate how information is discovered, the structural quality and credibility of published content matters more than ever”

— TrustNoww.com Editorial Team

TrustNoww.com, an independent digital publication, has launched to address this shift with research-backed analysis and expert-led editorial content across artificial intelligence, data governance, emerging technologies, and the global startup ecosystem. Initial coverage includes analysis on AI-driven discovery, data governance frameworks, and generative search trends.

The Shift Toward AI-Mediated Information Discovery
For much of the past two decades, content strategy was shaped by search engine optimization — the logic of keywords, backlinks, and page rankings. That model is being disrupted. Generative AI tools now interpret queries, synthesize information from multiple sources, and deliver structured answers directly to users, often without a click-through to the original source.
This transition has significant implications for how credible information gets surfaced and cited. AI systems tend to favor content that is factually grounded, clearly structured, and analytically substantive — characteristics that align more closely with traditional editorial standards than with high-volume, traffic-driven publishing. The publications and platforms that prioritize depth and accuracy are increasingly the ones whose content finds its way into AI-generated responses, analyst reports, and industry briefings.

Marketing Technology News: MarTech Interview with Nicholas Kontopoulous, Vice President of Marketing, Asia Pacific & Japan @ Twilio

Content in the Age of Generative AI
The pattern is emerging across industries. In ecommerce, platforms such as Sixthshop — an emerging platform exploring AI-driven shopping visibility for ecommerce — are actively working to understand how AI systems discover, rank, and present product information to users. The same question is playing out in media, research, and professional services: as AI intermediaries multiply, what does it take for credible content to remain discoverable and citable?
TrustNoww.com focuses on that question from an editorial perspective. The publication is designed to produce content that holds up under scrutiny — original in perspective, accurate in its claims, and structured in a way that is useful to both human readers and the AI systems increasingly relied upon to summarize and recommend information.

Coverage Areas
TrustNoww.com publishes across three content verticals.
Its technology coverage focuses on artificial intelligence, cybersecurity, data infrastructure, and digital governance — areas where the gap between surface-level reporting and substantive analysis is most consequential for practitioners and policymakers alike.
Startup coverage aims to document the global entrepreneurial ecosystem with attention to founder narratives, product developments, funding activity, and market context. The platform is designed to give early-stage companies and emerging ecosystems a credible outlet that prioritizes accuracy over announcement.
Guest contributions form a third pillar. Independent researchers, technology journalists, and subject matter experts are invited to submit original editorial content — opinion grounded in expertise, analysis backed by evidence, and insight drawn from direct professional experience.

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Editorial Standards and Open Submissions
TrustNoww.com is currently open for submissions. Contributors may send press releases, research articles, expert opinion pieces, and startup announcements to editorial@trustnoww.com. All submissions are reviewed by the editorial team for originality, factual accuracy, and analytical depth prior to publication. Content that is primarily promotional in nature falls outside the platform’s editorial scope.
Contributors are encouraged to review existing published content on the platform before submitting to ensure alignment with its editorial standards and focus areas.

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ai& Launches with $50M Seed Round, $2B Infrastructure Capital to Scale a Vertically Integrated AI Platform from Japan

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MTS Staff Writer
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Syntax Launches AI-First Application Managed Services for SAP Solutions

ai& logo

ai&, a new global AI technology company, today announces its official launch, backed by $50 million in seed funding and more than $2 billion in committed data center capital. The company is building a vertically integrated AI platform from Japan for the global market that unifies data centers, heterogeneous compute, and advanced model services into a single optimized stack. ai& will also establish a state-of-the-art AI lab in Japan to incubate next-generation AI services with initial focus on training localized models.

By owning and optimizing the stack end to end — from data centers and heterogeneous compute to models and services — our customers get better performance, better economics, and less friction.”

— David Bennett, CEO of ai&

Founded by David Bennett, former CCO of Tenstorrent and former CEO & President of NEC Personal Computers / Lenovo Japan, and Shimpei Hara, former Technology Executive at Tenstorrent, ai& is designed to become both a global infrastructure powerhouse and a localized AI innovation hub based in Japan.

Marketing Technology News: MarTech Interview with Nicholas Kontopoulous, Vice President of Marketing, Asia Pacific & Japan @ Twilio

Key highlights
– $50M seed funding to accelerate buildout across infrastructure, compute, and model services
– $2B in data center capital to support long-term capacity expansion across Japan, US, and Asia
– Ten data center sites in development, including a commitment for a 100MW+ campus over the next three years
– Two of the four established data centers are currently operational, providing hardware and services to a select group of design partners using equipment from AMD, NVIDIA, and Tenstorrent.
– Deployment of a highly optimized inference platform supporting the industry’s latest and most advanced AI models, accessible via an OpenAI-compatible API for easy integration from enterprises and developers
– Establishment of a state-of-the-art AI lab in Japan to incubate next-generation AI services with initial focus on training localized models and fostering young AI talent

Marketing Technology News: The ‘Demand Gen’ Delusion (And What To Do About It)

Why it matters
Enterprise demand for sovereign and secure AI continues to rise, and Japan remains one of the most underleveraged markets for AI infrastructure and services. ai& is purpose-built to help enterprises and developers deploy AI with greater control, stronger security posture, and an optimized cost and performance profile by integrating critical layers of the stack. ai& is where AI meets infrastructure, sovereignty, and scale — all ideas, connected.

How it works
ai& differentiates itself by building from the bottom up. In practice, this means frontier AI models running on ai&-owned hardware, delivering faster inference and lower costs than providers who depend on third-party compute. The company is developing modular data center architecture paired with heterogeneous cloud infrastructure capable of running AI models on large-scale disaggregated systems from multiple hardware vendors. By integrating data centers directly with compute, model, and AI services, ai& aims to deliver performance optimizations and lower costs compared to providers that manage only one layer of the value chain. The AI lab will also accelerate the development of production-grade localized AI models and services.

“We’re building the data center that actually owns the full stack. There is a clear need among enterprises and developers for sovereign and secure AI. We believe Japan is uniquely positioned to build and serve these needs,” said David Bennett, CEO of ai&. “By owning and optimizing the stack end to end — from data centers and heterogeneous compute to models and services — our customers get better performance, better economics, and less friction. We intend to prove the model first in Japan and expand across APAC, Europe, and the Middle East, with our first US data center coming online within the next two years.”

Unlike many AI platforms that rely on a single vendor stack, ai& is designed around heterogeneous compute. The platform integrates hardware from multiple leading semiconductor companies including AMD, NVIDIA, and Tenstorrent, allowing workloads to be optimized across different architectures for performance, efficiency, and cost.

“Japan has world-class engineering talent and a deep enterprise ecosystem that has been waiting for an AI infrastructure platform built specifically for its needs,” said Shimpei Hara, Co-Founder of ai&. “We are building that platform here, and we are building it to last.”

With the launch of ai&, Unsung Fields, Inc., a Japan-based data center cloud company, has transitioned its infrastructure and operations into the ai& platform and is no longer an independent entity.

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From Desktop to Mobile: ECER.com Reinvents the B2B Trade Experience

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MTS Staff Writer
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From Desktop to Mobile: ECER.com Reinvents the B2B Trade Experience

Ecer Technology- Google Global Premier Partner，focus on foreign trade promotion, digital marketing, Google promotion, search engine optimization.

As the landscape of international commerce shifts from desktop offices to mobile devices, the “fingertip economy” has officially arrived. With statistics showing that over 70% of cross-border procurement now occurs via mobile devices, the battlefield for B2B trade has moved to the palm of the hand. Leading this digital transformation is ECER.com, a premier mobile-driven B2B marketplace leveraging AI and smart data to build a highly efficient global trade ecosystem.

Breaking Barriers: 24/7 Global Responsiveness
For international trade professionals, missing a message often means losing a deal. ECER’s mobile application addresses this by providing a 24/7 real-time inquiry push system. This system uses high-priority alerts to deliver critical business opportunities directly to a user’s phone, boasting a delivery efficiency three times higher than traditional email.
This instant connectivity allows exporters to convert fragmented time—such as transit periods or travel intervals—into successful transactions. The foreign trade manager of Heyi Energy Co,.ltd. recently shared how this technology saved a deal: upon landing for a business trip in Southeast Asia, he received an urgent inquiry from a European client via a mobile alert. By responding immediately from the airport lounge, he secured the order before a competitor could even open their laptop at a hotel.

Marketing Technology News: MarTech Interview with Nicholas Kontopoulous, Vice President of Marketing, Asia Pacific & Japan @ Twilio

Immersive Experience and AI-Driven Precision
Recognizing the unique habits of mobile users, ECER has optimized its interface for high-impact visual storytelling. The platform supports:
 Short video introductions and panoramic product displays.
 High-definition image galleries that provide more persuasive detail than traditional text.
 “Cloud Factory Inspections,” allowing buyers to view production sites in real-time via the app, significantly reducing the cost of physical site visits.
Beyond visuals, ECER utilizes AI algorithms to analyze user behavior, ensuring precise matching between global supply and demand. By integrating instant messaging, smart matching, and customer management into a single service loop, the platform has created a seamless environment for international trade.

Marketing Technology News: The ‘Demand Gen’ Delusion (And What To Do About It)

The Future of Trade is “Always On”
“Our mission is to use mobile technology to break the constraints of time and space, making global trade more efficient and trustworthy,” stated a spokesperson for ECER.com.
As “Mobile First” becomes the industry standard, ECER is helping enterprises transition from the traditional “office economy” to a dynamic, “always-on” trade era. Through the deep integration of mobility and intelligence, ECER.com is ensuring that for businesses today, the entire global market is just a tap away.

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Haley Marketing Launches Rogue Active Intelligence and Unveils RogIQ, a New AI-Powered Marketing Workflow Platform

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prweb
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MarcomJobsList.com Launches Game-Changing Job Board for Marketing & Communications Professionals

haley marketing logo 1

Haley Marketing announced the launch of Rogue Active Intelligence, Inc., a new company focused on bringing practical AI and automation to digital marketing. The company’s flagship product, RogIQ, is designed to help marketing teams streamline strategy, content planning, content creation, review, approvals, publishing, and execution through a more intelligent, human-guided workflow.

Built to help marketing teams move beyond fragmented tools and manual processes, RogIQ is designed to bring greater speed, consistency, and control to digital marketing execution. Rather than functioning as just another AI content generator, the platform supports the full marketing workflow—from strategy and planning to content development, review, approval, publishing, and performance-driven execution—while keeping human judgment at the center.

Marketing Technology News: MarTech Interview with Nicholas Kontopoulous, Vice President of Marketing, Asia Pacific & Japan @ Twilio

“We believe the future of marketing belongs to teams that combine human judgment with intelligent automation,” said Victoria Kenward, Co-CEO of Haley Marketing. “RogIQ was built to make that future practical.”

RogIQ was developed to help solve a growing challenge for marketing teams: how to use AI to improve efficiency and output without sacrificing strategic thinking, brand quality, or accountability. The platform is designed to help teams reduce repetitive work, accelerate content development, improve workflow visibility, and create more space for higher-value strategy, creativity, and client service.

Marketing Technology News: The ‘Demand Gen’ Delusion (And What To Do About It)

The launch of Rogue Active Intelligence, Inc. reflects Haley Marketing’s broader commitment to innovation and to helping businesses adapt to rapid change. RogIQ will initially support digital marketing use cases such as marketing strategy development, content planning, blogs, social media, SEO, scheduled publishing to websites and social media channels, and related workflow management, with future expansion planned as the platform evolves.

“Haley Marketing has always believed that better marketing comes from combining smart strategy with great execution,” said David Searns, Co-CEO of Haley Marketing. “With Rogue Active Intelligence and RogIQ, we’re creating a more scalable, practical way for marketing teams to use AI and automation to do both.”

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EntTelligence Launches CAPTIVE to Deliver Verified Reach Measurement for In-Theater Advertising

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PRNewswire
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EntTelligence Launches CAPTIVE to Deliver Verified Reach Measurement for In-Theater Advertising

EntTelligence announced the launch of CAPTIVE, a new analytics platform designed to deliver verified reach measurement for in-theater advertising. Built on EntTelligence’s proprietary theatrical data infrastructure and enhanced through the recent integration of MovieMeasure’s audience measurement expertise, CAPTIVE introduces genuine reach analysis for cinema advertising.

The platform combines large-scale longitudinal audience datasets, AI-enabled analytics, and traditional research methodologies to provide advertisers, agencies, studios, and exhibitors with transparent, verifiable metrics within today’s cross-platform media environment.

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CAPTIVE provides the advertising industry with:

  • Genuine advertisement reach analysis of captive out-of-home viewing in theaters
  • Competitive reach metrics based on verified attendance
  • Detailed audience analysis including demographic overlays
  • Comprehensive marketing campaign evaluation and ROI analysis
  • Flexible deployment as a SaaS platform or API-based solution

For the advertising community, CAPTIVE offers a data-driven approach to planning and evaluating theatrical campaigns, allowing cinema advertising to be measured alongside other media channels. For studios and exhibitors, the service creates expanded opportunities to demonstrate the measurable value of the cinema environment and its highly engaged audiences.

“The cinema experience has always delivered highly engaged, premium audiences,” said Steve Buck, Chief Strategy Officer & Partner, EntTelligence. “CAPTIVE allows advertisers to finally measure that audience with the same rigor they expect from other media channels. By combining advanced analytics, proprietary audience datasets, and modern data engineering, we’re bringing greater insight to captive out of home audiences experiencing cinema advertising.”

Marketing Technology News: Cross-Department Collaboration with Marketing Workflow Automation: Enhancing Alignment Between Sales, Customer Service, and Marketing Teams

The platform is powered in part by the integration of MovieMeasure, a long-time leader in in-theater advertising measurement. The integration combines EntTelligence’s theatrical data infrastructure with MovieMeasure’s expertise in trailer performance and in-theater audience insights to create a unified measurement framework for cinema media.

“MovieMeasure has long focused on understanding how audiences engage with content in theaters,” said Rakesh Nigam, CEO & Partner, EntTelligence. “Together with EntTelligence, MovieMeasure assets can now connect that audience insight directly to advertising reach through a scalable analytics platform designed to support agencies and brands.”

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5W PR Grows B2B Practice With New Content Marketing and Lead Generation Solutions for Enterprise Clients

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PRNewswire
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5W PR Grows B2B Practice With New Content Marketing and Lead Generation Solutions for Enterprise Clients

5W, one of the largest independently owned PR firms in the U.S., announced the expansion of its B2B digital marketing practice with the introduction of comprehensive content marketing and lead generation solutions tailored for enterprise clients. This strategic growth aims to address the increasing demand for data-driven, ROI-focused marketing strategies in the competitive B2B landscape.

The enhanced B2B offerings encompass a full spectrum of services, including content creation, search engine optimization (SEO), generative engine optimization (GEO), pay-per-click (PPC) advertising, social media marketing, account-based marketing (ABM), and email automation. These services are designed to help enterprise clients build brand authority, engage decision-makers, and drive high-quality leads through integrated campaigns that align with their business objectives.

Marketing Technology News: MarTech Interview with Miguel Lopes, CPO @ TrafficGuard

“Enterprises today require more than just brand awareness – they need measurable results that contribute directly to their bottom line,” said Matthew Caiola, CEO of 5W. “Our expanded B2B digital marketing solutions are crafted to deliver not only visibility but also tangible business outcomes, empowering our clients to thrive in a rapidly evolving marketplace.”

5W’s approach combines creative storytelling with advanced analytics to produce compelling content that resonates with target audiences. By leveraging insights from SEO, GEO, PPC, and social media platforms, the agency ensures that each campaign is optimized for maximum impact and efficiency.

Marketing Technology News: Is the Traditional CDP Already Out of Date?

This expansion reflects 5W’s commitment to providing enterprise clients with innovative marketing solutions that drive growth and establish long-term success.

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Hikvision launches TalkVu Video Intercom series, taking security and communication to the next level

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PRNewswire
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Hikvision launches TalkVu Video Intercom series, taking security and communication to the next level

Hikvision has launched a brand new TalkVu Video Intercom series. This next-generation family of products transforms how homeowners experience security and communication.

Embodying the brand vision ‘Talk Clear, View Smart’, the TalkVu series combines crystal-clear 4 MP imaging, AI-powered audio optimization, and intuitive controls to deliver exceptional clarity in monitoring doorstep activities, distortion-free conversations, and seamless management of connected environments.

View smart: Crystal-clear vision in any lighting condition

TalkVu’s 4 MP outdoor camera is paired with 1080p indoor displays to capture doorstep activities in exceptional detail, day or night. The 150°/180° ultra-wide lens eliminates blind spots while advanced imaging algorithms automatically adjust for bright sunlight or low-light conditions. This ensures faces and packages remain clearly visible at all times. The cutting-edge AI-ISP technology leverages AI for better noise reduction, color accuracy, and dynamic range, resulting in clearer, more detailed, and smarter visual output especially in low-light environments.

Marketing Technology News: MarTech Interview with Miguel Lopes, CPO @ TrafficGuard

Talk clear: Distortion-free communication

TalkVu’s dual-microphone array features intelligent noise reduction which eliminates environmental interference from conversations. Directional sound pickup technology focuses on human voices while filtering out unwanted sounds from wind, traffic, and background disturbance. High-output speakers ensure crystal-clear conversations—whether greeting visitors or coordinating with delivery personnel during adverse weather—making distance irrelevant to communications quality.

Proactive AI-powered security

TalkVu evolves security from reactive to proactive protection. Multi-modal access control supports facial recognition, access cards, PIN codes, Bluetooth, QR codes, and mobile app authorization. Intelligent video analytics provide smart event detection including fall detection, line crossing, and region intrusion with instant alerts, while abnormal sound detection identifies screaming, glass breaking, and unusual sounds with immediate notifications. These layered features transform your intercom into an intelligent and proactive protection system.

Marketing Technology News: Disrupt or Be Disrupted: The AI Wake-Up Call for B2B Marketers

Comprehensive control, three simple ways

TalkVu’s indoor station serves as your command center, seamlessly connecting video security, alarms, intercoms, elevator controls, lighting, and climate—all accessible with simple touches. The Hik-Connect app enables instant mode switching between ‘At Home’ and ‘Away’ for total control at your fingertips. Voice commands provide natural environment control for dimming lights, adjusting temperature, or closing blinds effortlessly.

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

MarTech Interview With Mike True, Co-Founder & CEO of Prescient AI

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Paroma Sen
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MarTech Interview With Mike True, Co-Founder & CEO of Prescient AI

Mike True, Co-Founder & CEO of Prescient AI talks about predictive AI and why marketers need to use it effectively to power measurement tactics in this MarTech catch-up:

______

Hi Mike, tell us about yourself and more about Prescient AI in brief?

I’m Mike True, Co-Founder and CEO of Prescient AI. Before starting the company, I spent my career in enterprise AI and analytics sales at companies like IBM, Oracle, and App Annie, where I helped clients generate millions in revenue through AI-powered solutions [1]. I hold a B.S. in Marketing from Salve Regina University.

I founded Prescient AI in 2019, and honestly, it didn’t start where it is today. We originally set out to build a predictive model for the music industry — helping artists figure out optimal tour schedules and venue recommendations. When COVID-19 hit, and live events disappeared overnight, we had to pivot fast. That’s when we turned our focus to solving marketing attribution and measurement challenges in e-commerce [4].

Today, Prescient is an advanced Marketing Mix Modeling (MMM) platform serving 100+ omnichannel brands — including Saatva, Hexclad, Jones Road, MaryRuth’s, and Coterie — and we raised $20M from investors including Headline and Blumberg Capital [9]. We work without pixels or cookies, deliver actionable insights within 36 hours, and can forecast future campaign performance three months out with around 90% accuracy [3]. In July 2025, we launched what we believe is the first fundamentally new MMM framework built entirely from scratch since the technology was first introduced in the 1960s [17].

How are brands today using predictive AI to power measurement and attribution tactics in modern marketing workflows?

What I’m seeing is a real shift — brands are moving away from piecing together siloed ad platform reports and toward unified, AI-driven measurement. At Prescient, our approach is built on dynamic MMM, which is a statistical, probabilistic model that ingests data from ad platforms, Shopify, Amazon, Google Analytics, and even offline sources to help brands understand which channels are truly driving revenue [14]. Unlike the old Nielsen-style annual MMM studies, our model refreshes every single day, so marketers can reallocate budgets and optimize campaigns in near real time [12].

The brands I work with are using predictive AI in a few powerful ways:

  • Measuring halo effects: We help brands quantify how upper-funnel channels like YouTube or CTV indirectly drive Amazon or retail sales. BrüMate, for example, discovered that nearly 20% of its CTV-driven revenue came through Amazon — something its traditional tools had completely missed [11].
  • Running budget simulations: Our Optimizer tool lets marketers model different budget reallocation scenarios and get predictive media plans back in seconds [12].
  • Triangulating measurement: I always tell our clients, don’t rely on just one source. Combine MMM with incrementality testing, post-purchase surveys, and MTA to validate performance from multiple angles [15].

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What’s wrong with most marketing attribution norms today, and why should marketers move away from click-based attribution?

The core problem with click-based attribution — whether that’s last-click or multi-touch attribution (MTA) — is that it can only measure what can be tracked through a click. That means entire categories of high-performing channels get systematically undervalued or ignored entirely. I’ve said this many times: “MTA is great for click-based channels, but it’s not very good for something like linear TV, connected TV, podcasts, YouTube, or TikTok — where they’re more view-based channels.” [12]

There are a few other issues I see constantly:

  • Platform-reported ROAS is inflated and overlapping: Every channel claims credit for the same sale. I’ve seen a brand running nine channels with search ROAS ranging from 298% to 1,750% — that’s clearly impossible when channels overlap that heavily [16].
  • iOS 14+ and privacy regulations have broken pixel-based tracking: The signal loss is real, and it’s only going to get worse. Relying on MTA or last-click in a post-iOS 14 world means you’re making decisions on incomplete data [19].
  • No single tool should be your “source of truth”: I’m very direct with all of our clients about this — “The MMM is not your source of truth. The MTA is not your source of truth. Your incrementality test is not your source of truth. The source of truth is the marketer.” The best practice is triangulation [15].

My best practices around attribution:

  1. Use MMM as your backbone for planning and forecasting.
  2. Run incrementality tests to validate specific channel performance.
  3. Use MTA only for bottom-funnel, click-heavy channels where it’s appropriate.
  4. Layer in post-purchase surveys to capture what data simply can’t.
  5. Trust the ensemble of models plus your own judgment — never a single platform’s numbers.

What are most marketers getting wrong in the AI/martech implementation process today?

From working with hundreds of brands, I see the same mistakes come up repeatedly:

  • Building on outdated foundations: Many martech tools out there are just modernizing old math — legacy 1960s-era regression models dressed up with a new interface. Our CTO Cody Greco and I made a deliberate decision early on that we weren’t going to do that. As Cody put it, “Building on old technology would limit our ability to solve the complex measurement challenges facing today’s marketers.” [17] That’s why in July 2025, we launched a completely new MMM framework built from the ground up.
  • Over-indexing on bottom-of-funnel Google and Meta: I see this all the time — the majority of budgets flowing into easily trackable, bottom-funnel channels while upper-funnel brand investments go unmeasured and underinvested [7].
  • Trusting a single measurement source: Any marketer who relies on just platform-reported ROAS or a single attribution tool is seeing a dangerously incomplete picture.
  • Accepting slow time-to-value: Legacy solutions have been clunky, expensive, and take months to onboard. That’s not good enough anymore. Brands should expect insights within 36 hours and point-and-click integrations [13].
  • Ignoring Amazon and retail revenue in media models: For omnichannel brands, a massive portion of revenue has historically been completely disconnected from paid media measurement. That’s a blind spot we’ve been on a mission to fix [18].

As martech evolves and old marketing models are replaced, what trends do you think will reshape B2B SaaS marketing and the martech ecosystem going forward?

This is something I think about a lot. Here’s where I see things heading [9]:

  • Predictive models will replace cookies as the primary measurement lens: The demise of third-party cookies and the tightening of GDPR and CCPA regulations mean that privacy-compliant, statistical models like MMM will become the default infrastructure. The privacy-first internet isn’t a future scenario — it’s already here [19].
  • Advertising on autopilot: The era of semi-manual media buying is fading fast. AI-driven models will increasingly recommend and execute optimizations automatically, with back-tested confidence. I see a future where brands are running fully automated, dynamically optimized campaigns across every channel [8].
  • The rise of “Compound AI”: The next phase of MMM involves multiple specialized AI agents — for forecasting, creativity, audience analysis, and saturation analysis — collaborating continuously to deliver adaptive recommendations in real time [14].
  • In-house brand teams replacing agencies: As automation handles media buying, I believe brands will build lean, data-empowered in-house teams and reduce their dependence on traditional agencies. The tools are now accessible enough to make that happen [8].
  • AI agent advertising: This one fascinates me. As more search and commerce shifts to LLMs and AI agents rather than Google, entirely new attribution models and ad formats will have to emerge for the “agent world” [7].
  • Consolidation in martech: We’re already seeing the big players like Publicis actively looking to acquire AI measurement companies — Prescient was cited as a potential target — which tells you how seriously the industry is taking this shift [1].

Five martech and marketing best practices you’d leave us with before we wrap up?

These are the things I come back to again and again with every brand I work with:

1. Triangulate your measurement — Never put all your trust in a single attribution model. Use MMM, incrementality testing, MTA, and post-purchase surveys together. Each one tells part of the story [15].

2. Give upper-funnel channels a fair shot — Stop penalizing CTV, podcasts, or YouTube for not generating clicks. Use view-based and halo-effect measurement to reveal what they’re really contributing to your bottom line [12].

3. Future-proof your martech stack against data loss — Build infrastructure that doesn’t depend on cookies or pixels. That transition is already underway, and brands that wait will be caught flat-footed [19].

4. Demand speed from your measurement tools — If your MMM only updates quarterly, it’s too slow to be useful. Modern platforms should recalibrate daily and deliver insights within 36 hours. Agility is the whole point [12].

5. Remember: you are the source of truth — AI models are incredibly powerful advisors, but they don’t replace the marketer. You’re the one synthesizing data, culture, creativity, and business context to make the final call. Lean on the models, but trust yourself [15].

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Prescient AI’s platform delivers fast, daily marketing insights across the full funnel: quantifying halo effects, isolating seasonal impact, and identifying the real levers of performance across DTC ecommerce, marketplaces, and retail.

About Mike True

Mike True, is Co-Founder & CEO of Prescient AI

Source References

[1] Prescient AI – About Us & Meet the Team – November 7, 2025

[3] Prescient AI LinkedIn

[4] EP007: Michael True | Equation of Excellence / Fermat Commerce

[7] 5YF Episode #28 Transcript – Focal VC

[8] 5YF Episode #28 – Focal VC Founder Resources

[9] Future of Advertising with Prescient AI CEO Mike True | 5YF #28 – April 14, 2025

[11] What is Media Mix Modeling (MMM)? – Prescient AI Blog – September 23, 2025

[12] S12 E6: Redefining Media and Marketing Measurement – Limited Supply Podcast – May 14, 2025

[13] Investing in Prescient AI: Next-Gen MMM – Headline VC

[14] MMM Explained – Darkroom Agency Observatory

[16] Marketing Mix Modeling: How Multi-Channel Brands Stop Wasting Ad Spend – Ecommerce Coffee Break – August 13, 2025

[17] Prescient AI Unveils First New MMM Since 1960s – PPC.land – July 16, 2025

[18] Prescient AI LinkedIn – Amazon Measurement Launch

[19] Future of Advertising with Prescient AI CEO Mike True | 5YF #28 – April 14, 2025

Savanta introduces Virtual Personas for AI-powered consumer research in seconds

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Savanta introduces Virtual Personas for AI-powered consumer research in seconds

Savanta’s free consumer research platform combines the power of AI with emotional intelligence, giving clients faster, more affordable access to insights they can trust

Savanta – the consumer insights and market research company – launches Virtual Personas by Savanta, an AI-powered research platform that makes previously impossible research achievable, reaching hard-to-access audiences and delivering reliable insights quickly.

Virtual Personas by Savanta gives marketing and insight teams on-demand access to their target audiences for one-to-one interviews or focus groups with multiple personas, enabling them to interrogate audience behaviour, probe motivations, test hypotheses and simulate reactions to campaigns in seconds. The platform is designed to complement formal research rather than replace it, filling gaps in and between studies and informing real-world research design.

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In a move to democratise access to data for teams under pressure to act faster, cut costs and prove ROI, Virtual Personas by Savanta launches with a robust free access tier. Providing immediate access to eight pre-defined personas structured across four critical segments, the free tier enables both focus groups and interviews, allowing users to observe social dynamics and values-based conflicts in real-time. Paid tier offerings allow full customisation of personas, deeper interactions, and creative asset exploration and generation, including video.

Human-like accuracy is achieved by the addition of behavioural models to tie it together. Validated against real-world respondent data across multiple sectors, Virtual Personas by Savanta are built for trust as much as speed, achieving 99% factual recall and 84% logical inference accuracy.

Designed and developed by Savanta’s team of product technology and research experts, Virtual Personas by Savanta is the first platform to integrate both the OCEAN Big Five personality traits and the Schwartz Theory of Basic Human Values. This combination simulates reasoning and motivational-drivers as well as personality, resulting in the friction, hesitation and resistance that precede real consumer decisions – like the moment messaging loses the audience, the feature that creates doubt or the pricing language that triggers a walk-away. Every persona is also grounded in over a decade’s worth of Savanta’s proprietary real-world data, and can be highly customised by client data. The result of this hybrid approach is personas that model how audiences actually think and feel, not just what they are likely to say.

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Virtual Personas by Savanta is not a black box, it has been built with transparency at its core, giving users the confidence to act on results. A robust trust score is shown on every response, acting as an EQ-audit and instantly providing visual guardrails and fully documented sources around the reasoning and reliability behind each response. Users can explore which datasets and research inform outputs, understand why a persona responded as it did, and benchmark results against established quality standards.

Christine Petersen, Savanta CEO says: “Virtual Personas by Savanta is the natural evolution of Savanta’s legacy and continued investment in rich consumer data. Grounded in over a decade of proprietary data and the robust methodology of behavioural science, accelerated by AI, brands can maintain an always-on view of their audiences rather than relying on periodic snapshots. Our confidence scores enable fast, evidence-backed decisions, giving businesses a scientifically grounded conversation with their customers on demand, in real time. We’re not here to replace traditional research but to make it sharper, faster and more cost-efficient.”

Dr Nick Baker, Chief Research Officer at Savanta, adds: “Synthetic data without emotional intelligence is just noise. Virtual Personas by Savanta is not a chatbot – it is a sophisticated psychological simulation that preserves human complexity, modelling how consumers feel rather than simply what they say. The real power of this technology is identifying what you don’t know, and using that to augment real-world research: narrow your options with Virtual Personas, then validate emotional resonance in one focused group session. The goal is not more data – it is faster time-to-decision, backed by evidence.”

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Smartsheet MCP Server Achieves Exceptional Customer Adoption in First Week; 4,000 Users with 1.74 Million Total Actions Since Launch

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Smartsheet MCP Server Achieves Exceptional Customer Adoption in First Week; 4,000 Users with 1.74 Million Total Actions Since Launch

Smartsheet Logo

Smartsheet brings AI to where complex work actually lives, connecting the most critical systems and data sources across the enterprise

ChatGPT and Gemini integrations to follow next month

Smartsheet announced a fundamental shift in how enterprises deliver strategic projects with AI. Days after launching its Model Context Protocol (MCP) Server and native integration with Anthropic’s Claude, the company is reporting record adoption as enterprises connect Smartsheet data directly into their corporate-standard AI tools.

“We are moving past the ‘chat’ phase of AI and into a new era where AI can impact the productivity of teams working on strategic projects.”

The introduction of the Smartsheet MCP Server is helping companies move from individual productivity gains to organization-wide intelligence. The company’s MCP Server connects an organization’s AI tools directly to its live business data, enabling it to surface risk more quickly, make resource decisions with greater confidence and ultimately deliver more successful business results.

Empowering better business decisions

Since its debut, the Smartsheet MCP Server has allowed individuals, teams and organizations to move beyond simple chat and into actual execution:

  • Connect once, use everywhere: Any MCP-compatible AI tool or agent can securely access live work data in Smartsheet. Customers now have full access to Smartsheet data within existing tools, enabling them to make more informed decisions and monitor project status and risks in a single location. Smartsheet customers now have access to more than 35 tools for AI agents.
  • Proactively manage work: Usage data shows 48% of all actions taken by early adopters using Claude move work forward by automatically creating tasks or making updates, rather than just requesting information, eliminating hours of manual work and waiting time for updates.
  • Remove “tool fatigue”: Instead of jumping between platforms, teams can stay in the AI assistants they already use. The company’s deep integration with Claude has already helped teams turn weeks of manual project analysis into quick, seconds-long conversations.
  • Massive scale and open architecture: With over 4,000+ early adopters interacting with Smartsheet using Claude in the first few days, the Smartsheet MCP Server is proving the value of an open AI strategy. While Claude is the first native integration, support for ChatGPT and Gemini will come next month.

“For years, Smartsheet has been where enterprise work happens. With our MCP, customers are now connecting their AI tools directly to the data and systems that run their business,” said Pratima Arora, chief product and technology officer at Smartsheet. “We are moving past the ‘chat’ phase of AI and into a new era where AI can impact the productivity of teams working on strategic projects.”

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Modern architecture: faster decisions at lower costs

AI usage fees, or token costs, are the new public cloud spend problem—variable, hard to predict and quickly compounding. Smartsheet addresses this challenge head-on through its MCP Server.

Smartsheet is central to the work of over 100,000 organizations, managing a continuously evolving graph of tasks, workflows, dependencies and business logic. That complexity demands highly optimized token usage to preserve customer budgets. With proprietary data optimization directly engineered into its MCP, data is intelligently compressed and filtered so teams get more answers at a lower price. The result: dramatically lighter payloads that translate directly to the bottom line.

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  • Significantly lower operational costs: By improving data transfer efficiency, organizations can substantially reduce the usage fees charged by AI model providers.
  • Faster responses: Lighter data means a user’s AI assistant can scan through global project portfolios and provide insights almost instantly, eliminating the latency that slows executive decision-making.
  • Enterprise-grade AI governance: Organizations get full visibility into how AI interacts with their work data—who’s asking what, which tools are being invoked and how tokens are being consumed—giving IT and leadership the control and auditability that enterprise adoption demands.

Organizations that achieve faster and more durable ROI are using tools like the Smartsheet MCP Server—purpose-built to optimize AI token usage and deliver the governance enterprises need to deploy AI with confidence at scale.

“The true ROI of enterprise AI isn’t measured by how many questions can be asked or how much text can be generated; that is the output of AI. It lies in how precise decisions, actions and outcomes can become,” said Liz Miller, vice president and principal analyst at Constellation Research. “By integrating AI models, businesses can use AI as a productivity multiplier. Combining AI models with deep organizational data creates a business‑intelligent advisor, closing a critical visibility gap that can cost large organizations thousands of hours in status meetings and manual risk assessment.”

Built for enterprise safety

Speed cannot come at the expense of security. Smartsheet logs and makes available for audit every interaction, whether initiated by a human or AI. This ensures a company can preserve existing governance and audit requirements while safely and quickly scaling AI across the organization.

“For years, we’ve relied on Smartsheet to help our customers create transparency across complex, global project data. The native Claude integration builds on that foundation, bringing an AI layer that surfaces trends, risks and critical changes through simple, natural conversation based on live business data,” said Julian Weber, partner at AMX. “That’s a meaningful shift in how teams operate and make decisions. The opportunity ahead is enormous: as we roll this out for our customers, we’re transforming how they act on their data at scale, enabling users to create intelligent, real-time insights—easier and faster than ever before.”

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Cloudinary Launches AI-Powered Moderation for Brand Visual Control

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AIXPORT.AI Launches to Give Claude® Users Full Ownership of Their AI Work

Cloudinary Logo

Automatically approve, flag, or reject images based on custom brand guidelines—reducing manual review while maintaining consistency across third-party content at scale

Cloudinary, the image and video platform powering many of the world’s leading brands, launched Cloudinary Moderation, an AI tool that automatically reviews images against brand guidelines to approve, flag, or reject content before it goes live. Built for companies managing high volumes of partner, vendor, or user-generated content, Moderation helps marketing and operations teams maintain brand standards, reduce manual review work, and prevent low-quality or non-compliant visuals from reaching customers.

“Brands shouldn’t have to choose between speed and brand control.”

While 85% of brands maintain visual guidelines, it’s estimated that only 25% can enforce them consistently when working with third-party content at scale. Manual review is too slow, resource-intensive and subjective for modern content volumes, while generic content moderation tools lack the customization brands need to enforce their specific standards.

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Cloudinary Moderation addresses this gap with AI trained on each brand’s unique guidelines – automatically catching issues like wrong logos, off-brand colors, poor image quality, or non-compliant content before publication.

“As a marketplace, maintaining high-quality and consistent product images is critical for customer trust and conversion,” said Rivly CEO Daniel Thompson. “With Cloudinary Moderation, we will be able to automatically review seller-submitted images, understand any issues, and immediately guide sellers toward optimal images.”

“Brands shouldn’t have to choose between speed and brand control,” said Keren Sela, GM for Moderation at Cloudinary. “Cloudinary Moderation lets them move fast while maintaining standards—automatically reviewing partner and user content against their specific guidelines.”

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Cloudinary Moderation can be trained on each brand’s visual standards, enabling tailored and accurate enforcement rather than generic content filtering. The solution provides clear reasons for flagging or rejecting images, which helps to maintain a full audit trail of decisions, and allows for human override when needed. Because Moderation is a part of the overall Cloudinary platform, brands across all industries, including Retail and Consumer Goods and Travel and Hospitality, can easily identify, review, and make adjustments to visuals within the same workflow.

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Conductor Introduces AEO Trailblazer Awards, Recognizing Enterprise Brands Leading in AI Search Visibility

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Conductor Introduces AEO Trailblazer Awards, Recognizing Enterprise Brands Leading in AI Search Visibility

Conductor

Conductor, the only end-to-end enterprise AEO platform, announced the winners of its inaugural AEO Trailblazer Awards, recognizing enterprise brands that are redefining how visibility is earned in AI-powered search.

“Real AEO success is not about chasing headlines. It is about building systems that earn consistent visibility inside AI answers, where decisions are increasingly made.”

Search has changed. AI answers increasingly shape how customers discover, evaluate, and trust brands before a click ever happens. AI referral traffic may still be early, but its influence is outsized, shaping how brands are perceived and shortlisted before customers ever reach a website. The organizations honored today saw that shift early and translated Answer Engine Optimization (AEO) into real, measurable impact. They moved beyond experimentation and made AEO a repeatable, enterprise capability.

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Leading global brands across industries were recognized for translating AEO from concept into enterprise execution, including organizations such as Airbnb, EY, Mastercard, Sonos, and Merck. While their approaches vary, these teams share a common focus: strengthening how their brands are surfaced, cited, and trusted within AI-generated answers.

Across this year’s winners, AEO is no longer confined to SEO or content teams. It is becoming a cross-functional capability, spanning marketing, digital experience, and broader business strategy. Some organizations are advancing large-scale content and distribution strategies to increase share of voice across AI platforms, while others are applying AEO insights to inform decisions around brand positioning, policy, and reputation.

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Together, these leaders reflect a broader shift in the market: from isolated experimentation to coordinated, enterprise-wide efforts that treat AI visibility as a core driver of digital growth.

These teams stood out not for isolated tactics but for leadership. They aligned strategy across marketing and digital functions, invested with conviction, and delivered tangible progress in how their brands appear, are cited, and are represented inside AI-generated answers. Their work reflects maturity in a space where many are still experimenting.

“The brands recognized in this year’s AEO Trailblazer Awards are not just adopting AEO, they are operationalizing it,” said Seth Besmertnik, CEO and Co-founder of Conductor. “They understood early that AI visibility would become foundational to digital growth, and they built the systems and accountability to earn it consistently. This inaugural class sets the standard for what strong AEO looks like in the enterprise.”

The AEO Trailblazer Awards expand Conductor’s long-standing tradition of recognizing industry leadership and customer excellence. This new annual award series reflects the growing strategic importance of AI visibility as a core performance channel for modern marketing organizations.

As AI continues to reshape the digital landscape, the companies recognized today offer a clear signal to the market. Real AEO success is not about chasing headlines. It is about building systems that earn consistent visibility inside AI answers, where decisions are increasingly made.

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Game Changer Marketing Solutions Earns Google Partner Status, Recognizing Excellence in Digital Advertising

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Game Changer Marketing Solutions Earns Google Partner Status, Recognizing Excellence in Digital Advertising

Game Changer Marketing Solutions Earns Google Partner Status, Recognizing Excellence in Digital Advertising - The Des Moines Register

Female-owned digital marketing agency celebrates nearly seven years in business, serving hundreds of clients across multiple industries.

Game Changer Marketing Solutions has officially earned Google Partner status, recognizing the agency’s expertise in managing high-performing Google Ads campaigns and delivering measurable digital marketing results for clients.

This recognition validates the work our team has been doing for years”

— Cassi, CEO of Game Changer Marketing Solutions

Game Changer Marketing Solutions is a full-service digital marketing agency specializing in performance-driven marketing strategies that help businesses grow through strategic advertising, social media, and data-driven marketing.

The Google Partners program recognizes advertising agencies that meet rigorous standards for campaign performance, advertising spend management, and professional certifications. Agencies must demonstrate their ability to effectively manage and optimize Google Ads campaigns that help businesses grow.

By earning Google Partner status, Game Changer Marketing Solutions joins a select group of agencies recognized by Google for their proven ability to help businesses scale through strategic digital advertising.

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“This recognition validates the work our team has been doing for years,” said Cassi, CEO of Game Changer Marketing Solutions. “Our mission has always been to help businesses grow through strategic, data-driven marketing. Becoming a Google Partner reinforces our commitment to delivering high-performing campaigns and measurable results for our clients.”

What Google Partner Status Means

The Google Partner badge is awarded to agencies that meet Google’s standards for campaign performance, certifications, and advertising spend, demonstrating both technical expertise and real-world success managing advertising campaigns.

To maintain this recognition, agencies must keep certified Google Ads specialists on staff and consistently deliver strong campaign performance across client accounts.

The designation signals to businesses that the agency has proven capabilities in managing and optimizing digital advertising campaigns across Google’s advertising platforms, including Search, Display, YouTube, and Shopping ads.

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What This Means for Clients

For clients of Game Changer Marketing Solutions, the Google Partner designation provides several key advantages:

Proven Advertising Expertise
Google Partner agencies have demonstrated their ability to manage campaigns effectively while following Google Ads best practices.

Access to Advanced Tools and Insights
Google Partners receive access to specialized training, performance insights, and resources designed to improve campaign results.

Strategic Advertising Guidance
Certified specialists bring advanced knowledge across Google’s advertising ecosystem to help businesses reach the right audiences and maximize performance.

Optimized Campaign Performance
Partner agencies are recognized for their ability to help clients maximize return on ad spend and drive measurable business growth.

A Milestone for Continued Growth

Founded nearly seven years ago, Game Changer Marketing Solutions is a female-owned and operated digital marketing agency that has served hundreds of clients across a wide range of industries.

The agency provides comprehensive digital marketing services including:

– Paid Advertising (Google Ads, Meta Ads, and more)
– Social Media Management
– SEO and Content Strategy
– Digital Brand Strategy
– Website and Conversion Optimization

With this new designation, the agency further strengthens its ability to help businesses scale their online presence and compete effectively in today’s digital marketplace.

“Digital marketing is constantly evolving,” Cassi added. “Being a Google Partner allows us to stay at the forefront of new advertising technologies, insights, and strategies so we can continue delivering exceptional results for our clients.”

As the company continues to expand its services and client portfolio, this recognition further positions Game Changer Marketing Solutions as a trusted partner for businesses looking to accelerate their growth through digital marketing.

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Thryv Launches AI Lead Flow, Unifying Marketing and Sales Automation for Small Businesses

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Thryv Launches AI Lead Flow, Unifying Marketing and Sales Automation for Small Businesses

Logo for Thryv small business software

Unifies marketing visibility and sales automation for the 57% of small businesses that cite reaching customers and growing sales as their top challenge

Thryv® Holdings, Inc. , provider of the leading small business marketing and sales software platform, launched Thryv AI Lead Flow™. This end-to-end solution connects online visibility, intelligent lead management, and automated sales follow-ups into a single, unified experience that, once set up, requires no manual effort from the business owner.

According to the Federal Reserve’s most recent Small Business Credit Survey, reaching customers and growing sales were the most commonly reported operational challenge, affecting 57% of small businesses. Powered by AI and built on the combined capabilities of Thryv Marketing Center™ and Keap® software, Thryv AI Lead Flow is designed to solve this problem by connecting every step of the customer journey, from the moment a prospect searches online to the moment they become a customer, in a single automated system.

What is Thryv AI Lead Flow?

Thryv AI Lead Flow is an AI-powered marketing and sales platform built for small businesses. It combines Thryv Marketing Center’s online visibility tools with Keap® software’s sales automation engine to create a continuous automated pipeline from first online impression to closed deal. It eliminates four of the most common lead management failures that small businesses can experience: failing to appear prominently in search results; failing to prioritize the right leads; failing to follow up quickly; and failing to convert quality prospects into paying customers.

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How Does Thryv AI Lead Flow Work?

Stage 1 Attract and Capture Leads: Thryv helps businesses build a strong online presence across more than 30 high-traffic listing sites, including Google, Yelp, and Facebook. Paired with SEO-optimized websites, AI-powered social posts, and review management tools, small businesses can consistently show up where their best leads are searching.

Stage 2 Intelligent Lead Management: Once leads come in, AI automatically summarizes calls, forms, and chat interactions so owners instantly know what was discussed and what to do next. AI lead scoring surfaces the prospects most likely to convert, while AI smart tags trigger timely, relevant follow-ups, eliminating the need for manual sorting and prioritization.

Stage 3 Seamless Lead Flow from Marketing to Sales: Powered by the integration of Thryv and Keap software, AI Lead Flow keeps lead capture and follow-up automatically connected. Intelligent lead routing evaluates each lead as it comes in, using factors like engagement history, conversation details, intent signals, and more to rank opportunities in real time. Handoffs between marketing and sales happen behind the scenes without any manual intervention.

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Stage 4 Faster Conversions: Automated follow-ups are triggered based on real customer actions, like calls, messages, and purchases. This ensures the relevant message reaches prospects in a timely manner. Ready-to-use automation templates make launching campaigns fast, while a drag-and-drop automation builder allows businesses to create fully customized workflows.

What Results are Thryv AI Lead Flow Customers Seeing?

Ken Cook, founder and owner of The Prepared Group, implemented Thryv AI Lead Flow to manage leads across multiple marketing channels. “With Thryv AI Lead Flow we’re able to see all our phone calls tracked from various sources in our app with no manual entry,” said Ken Cook, founder and owner of The Prepared Group. “Then AI kicks in, segmenting leads by quality and automating personalized follow-ups. We’ve gone from being just a week or two booked out to months booked out.”

Why Did Thryv Build AI Lead Flow?

“When marketing and sales software don’t work together, leads get missed. For small businesses, missed leads are real lost revenue,” said Rees Johnson, Chief Product Officer, Thryv. “Thryv AI Lead Flow ensures every lead is captured, scored by AI, and followed up on automatically. It gives small business owners the kind of integrated marketing and sales functionality that larger businesses have long benefited from.”

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Social9 Launches Brand Voice AI as Research Shows 52% of Consumers Concerned About Generic AI Content

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AMPLIFY Sounds Alarm as PR Firm Linked to Widespread AI Content Theft

Platform trains custom AI models on each brand’s unique voice to scale social content across 11 channels and 50+ languages

A growing consumer backlash against generic AI-generated social media content is forcing marketing teams to rethink how they use artificial intelligence for content creation. Industry research from Sprout Social’s Q3 2025 Pulse Survey found that 52% of social media users are concerned about brands posting AI-generated content without disclosure, while a separate Hootsuite study reported that more than 30% of consumers say they are less likely to choose a brand that uses AI-generated advertising.

Social9, an AI-powered social media content creation platform serving over 50,000 users across 200 countries, is addressing this challenge with what the company describes as Brand Voice AI – a system that trains custom AI models on each organization’s existing content, tone, and messaging patterns to generate social media posts that maintain brand consistency across platforms and languages.

The Brand Voice Gap in AI Content Creation
The demand for social media content has accelerated sharply. Marketing teams now manage content across an average of six to eight platforms, often in multiple languages and markets. According to eMarketer, 133 million people in the United States alone will use generative AI tools in 2026, contributing to an unprecedented volume of AI-generated content online.

Marketing Technology News: MarTech Interview with Haley Trost, Group Product Marketing Manager @ Braze

However, most widely used AI writing tools, including general-purpose large language models – produce output that lacks the distinctive voice and cultural nuance that audiences expect from the brands they follow. A 2025 Sprout Social Index report found that 97% of marketing leaders now consider AI literacy mandatory for their teams, yet 46% of social media users remain uncomfortable with brands using AI-generated content such as virtual influencers.

“The fundamental problem isn’t AI itself, it’s that most AI tools treat every brand the same,” said the founder of Social9. “When a five-person startup and a Fortune 500 company produce content using the same generic AI model, the output is indistinguishable. Audiences notice, and engagement drops. We built Social9 to solve that specific problem by training AI on each brand’s unique voice.”

Marketing Technology News: Cross-Department Collaboration with Marketing Workflow Automation: Enhancing Alignment Between Sales, Customer Service, and Marketing Teams

How Brand Voice AI Works
Social9’s platform analyzes an organization’s existing content library – past social media posts, website copy, brand guidelines, and audience engagement data – to build a custom AI model that reflects the brand’s specific tone, vocabulary, and messaging patterns. The platform then generates content optimized for individual social media channels, automatically adapting format, length, hashtag strategy, and calls to action for each platform’s best practices.

Key capabilities of the platform include:
– Custom brand voice training that learns from existing content to maintain authentic tone across all generated posts.
– Multi-platform optimization supporting 11 social networks including Instagram, LinkedIn, TikTok, X, YouTube, Bluesky, and Threads.
– Cultural localization in 50+ languages that adapts messaging for regional markets rather than providing direct translations.
– Predictive performance analytics that forecast engagement before content is published.
– And AI agent workflows that autonomously create, optimize, and schedule content with configurable human approval checkpoints.

Optimizing Social Content for AI Search Discovery
As consumer search behavior shifts toward AI-powered engines such as ChatGPT, Perplexity, and Google AI Overviews, Social9 has integrated Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO) capabilities into its content creation workflow. The platform structures social media posts with entity-rich language, question-answer formatting, and topic clustering designed to increase the likelihood that brand content is cited and recommended by large language models.

Research from Sprout Social indicates that nearly one in three consumers now begin their product search on social media platforms rather than traditional search engines – a shift that is accelerating as AI-powered search results surface social content directly in answer panels.

Enterprise Readiness and Security
Social9 has achieved multiple compliance certification and maintains regulations with GDPR and CCPA regulations. The platform offers enterprise single sign-on (SSO), role-based access controls, team approval workflows, and a 99.99% uptime service level agreement. The company is headquartered in San Francisco, California, with a distributed global team.

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HG Insights Unveils Unified Revenue Growth Intelligence Platform

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HG Insights Unveils Unified Revenue Growth Intelligence Platform

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The RGI Platform uniquely delivers market, account, technology, intent, and contact intelligence in a single AI-driven experience to accelerate high-confidence GTM execution

HG Insights, a leader in AI-powered revenue growth intelligence solutions, announced the launch of the Revenue Growth Intelligence (RGI) Platform, the industry’s first unified platform connecting and contextualizing deep technographic, buyer intent, IT spend, buying center, and contact intelligence in a singlec experience. Built on HG Insights’ RGI Fabric, the RGI Platform delivers advanced copilots and agentic workflows to optimize GTM execution and efficiency.

Alongside the RGI Platform, HG Insights is introducing RGI Agent Builder, its agentic infrastructure for enterprise GTM teams, now available in early preview. HG’s agentic infrastructure turns fragmented GTM data and signals into an integrated system that feeds every copilot and agent with shared context, powers agentic workflows across the stack, and gives GTM leaders reliability and control over how AI helps drive pipeline and revenue outcomes.

“GTM teams are being tasked to grow revenue with fewer resources than ever before, but the answer can’t be just spending on more tools, data, and dashboards,” said Rohini Kasturi, CEO of HG Insights. “AI in GTM simply amplifies whatever data you feed it. If it is shallow or fragmented, you just scale noise and mistakes. The RGI Platform, Fabric, and our agentic infrastructure were built to flip that script. For the first time, GTM teams have a unified Revenue Growth Intelligence Platform where deep, connected intelligence doesn’t just inform decisions, it drives them into precise, scalable execution.”

According to Gartner®: “By 2027, AI agents embedded in commercial workflows will orchestrate precision engagement across buying groups, improving lead-to-won opportunity conversion rates by 15%.”

GTM is undergoing a structural shift: from insights to execution, from static dashboards to guided action, and from manual workflows to agentic ecosystems. Most teams still operate on fragmented data sets and workflows that are error-prone and difficult to scale. Despite mounting pressure to do more with less budget and resources, prioritize smarter, and prove ROI, many organizations still lack the intelligence and use-case coverage their GTM teams need to execute consistently. HG Insights’ RGI Platform is built for this shift, providing cohesive GTM intelligence, AI copilots, and composable workflows in a single system to turn insights into scalable action.

Marketing Technology News: MarTech Interview with Haley Trost, Group Product Marketing Manager @ Braze

Three AI Copilots. Expansive GTM Application.

The RGI Platform’s three AI Copilots deliver advanced functions across a broad range of GTM use cases, consistently turning the right insight into action.

  • The Market Analyzerhelps organizations identify and size their top market opportunities, giving CMOs, RevOps, and strategy leaders actionable insight into which segments and accounts to prioritize, where competitors are gaining or losing ground, and where to invest. From TAM/SAM/SOM modeling and ICP analysis to territory optimization and whitespace analysis, Market Analyzer brings clarity to market complexity.
  • The Data Studiolets marketing and RevOps teams score and prioritize leads and accounts by combining internal data with HG Insights’ Fabric data, and then applying fully explainable predictive models. The result is coordinated GTM execution, higher-propensity targeting, sharper ABM performance, and more effective engagement and conversion.
  • The Sales Copilotputs the right intelligence in front of sellers at the right moment. By connecting and contextualizing disparate signals with HG Insights Fabric data to automate account research, trigger sales plays, and shorten sales cycles, Sales Copilot ensures sellers spend more time building and closing pipeline.

HG Insights Platform and Fabric lets customers integrate their own first- and third-party data with HG Insights intelligence, enabling copilots to analyze a richer, combined dataset to generate even more precise insights and actions.

Marketing Technology News: Cross-Department Collaboration with Marketing Workflow Automation: Enhancing Alignment Between Sales, Customer Service, and Marketing Teams

“HG Insights has long been a leader in the B2B GTM data application space. Its Revenue Growth Intelligence Fabric, a foundational achievement in its own right, delivers exceptional market, account, technology, and buyer data and insights,” said Michael R. Levy, Principal, GZ Consulting. “With the launch of their integrated RGI Platform, which fully activates the Fabric, more companies will adopt the Platform to advance their GTM analytics, operational efficiencies, and agent workflows.”

The RGI Platform Now Provides Contact Intelligence

HG Insights continuously delivers exceptional market, account, and buyer insights driven by granular ICP definitions that encompass best-in-class firmographic, technographic, IT spend, and intent content. Now organizations can also pinpoint and source the best contacts directly into their GTM workflows.

Rather than buying contacts from separate providers based on high-level ICPs and noisy intent signals, HG Insights’ Contact Intelligence identifies, enriches, and operationalizes the right contacts inside every workflow, delivered natively through Sales Copilot, where recommendations are always tied to high‑propensity account context.

From contact recommendation, sourcing, and enrichment, to immediate activation across Salesforce, Hubspot, Gong, Outreach, and Salesloft, Contact Intelligence closes the gap between insights and execution. Contact Intelligence is available in both the RGI Platform and the RGI Fabric.

“HG Insights is vital to how we manage our GTM. With the RGI Platform, that intelligence doesn’t stop at dashboards — it guides how marketing and sales align, target, and act on the highest‑propensity accounts. HG is one of our most accurate and impactful vendors, and with RGI Platform’s ability to source contacts directly in the workflow, we can grow our business more effectively,” said Willie M. Tejada, Chief Marketing Officer and General Manager, Cloud Native Security Fabric at Aviatrix.

RGI Agent Builder: The GTM Intelligence Infrastructure for AI Agents

AI GTM amplifies whatever it receives: feed shallow signals, and it scales noise; feed incomplete and inconsistent data, and it scales errors; feed unified, comprehensive intelligence, and it scales with precision. While many GTM platforms are adding AI features, HG Insights has built an enterprise-class GTM infrastructure to enable AI agents to operate effectively.

RGI Agent Builder enables the RGI Fabric to be directly activated by AI agents, giving enterprise GTM teams a production-ready way to build custom agents powered by HG Insights’ proprietary intelligence. Using Model Context Protocol (MCP) tools and pre-built agents, RGI Agent Builder enables organizations to build custom AI-agentic meshes across their GTM stack, connecting HG’s intelligence, agents, and copilots to platforms such as Microsoft Copilot, Salesforce Agentforce, and OpenAI.

RGI Agent Builder is available now in early access for enterprise organizations ready to build on the industry’s most comprehensive GTM intelligence infrastructure.

HG Insights delivers AI-powered Revenue Growth Intelligence (RGI) solutions that modernize GTM strategy and activation, enabling B2B companies to prioritize, target, engage, and convert the best opportunities faster. HG Insights platform’s analytics and agents turn deep market, account, technology, spend, intent, and customer data into actionable insights and automated workflows that accelerate pipeline and enhance predictability. That’s why 95% of Fortune 1000 B2B tech companies and all major hyperscalers rely on HG Insights to grow revenue, boost efficiency, and improve retention.

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