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BrightEdge Data Reveals New AI Brand Risk for CMOs: Google AI Overviews Are 44% More Likely to Criticize Brands Than ChatGPT

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BrightEdge Data Reveals New AI Brand Risk for CMOs: Google AI Overviews Are 44% More Likely to Criticize Brands Than ChatGPT

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ChatGPT 13 times more likely than Google to go negative near the point of purchase, influencing buyer decision

BrightEdge, the global leader in enterprise SEO and AI-driven digital performance, released new data showing that AI search engines are actively evaluating brands, with each engine behaving differently. Google’s AI Overview is 44% more likely than ChatGPT to surface negative brand sentiment overall, but ChatGPT concentrates its criticism 13 times more heavily near the point of purchase. For CMOs, the result is a new form of brand risk that cannot be managed by measuring AI visibility alone.

Powered by BrightEdge AI Catalyst™, the findings arrive as over three billion people now interact monthly with Google AI Overviews and ChatGPT, roughly one-third of the world’s population. Consumers increasingly use AI not just for answers but also for brand evaluation, and AI now delivers its own editorial opinion directly in its responses.

Both engines summarize a brand’s entire digital history, including reviews, forum discussions, news coverage, and past controversies, but frame their answers and talk about brands in fundamentally different ways.

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Key Findings

1.   Negative Sentiment Is Rare, but It Reaches Millions Monthly: Google AI Overviews surface negative sentiment in approximately 2.3% of brand mentions, while ChatGPT surfaces it in approximately 1.6% of mentions.

Across billions of searches, these negative rates translate to millions of brand-negative exposures per month. Unlike a buried review on page two of search results, a negative AI response is served repeatedly to every user asking a similar question, systematically influencing demand at scale.

2.   Google Is 44% More Likely to Criticize Brands Than ChatGPT: Google and ChatGPT do not evaluate brands the same way, and the two engines are triggered by fundamentally different factors:

    1. Google AI Overviews skews heavily toward controversy-driven negativity, including lawsuits, boycotts, data breaches, regulatory actions, and product recalls.
    2. ChatGPT skews toward product-evaluation negativity, including compatibility limitations, feature shortcomings, and “is it worth it?” assessments.

For example, a major retailer might face negative sentiment in Google AI Overviews because of a lawsuit in the news, while in ChatGPT, the same retailer faces criticism over a specific product limitation or payment policy. Same brand, different engine, different intervention required.

Each engine draws from different source ecosystems. Google’s AI Overviews lean heavily into news-driven sourcing and controversy indexing. ChatGPT more frequently reflects product reviews, forums, and social discussions such as Reddit.

3.   ChatGPT Is 13 Times More Likely to Go Negative Near Purchase: Eighty-five percent of Google’s negative sentiment appears during informational queries, the research and discovery stage, where opinions form, and shortlists are built.

By contrast, while 68.5% of ChatGPT’s negative sentiment also appears at the informational stage, 19.4% surfaces during the consideration-to-purchase phase, 13 times higher than Google’s 1.5%. Google’s negativity gates the top of the funnel. ChatGPT’s negativity kills conversions near the point of purchase.

4.   The Engines Disagree on Which Brand to Criticize 73% of the Time: When BrightEdge analyzed overlapping prompts where both engines surfaced negative brand sentiment, Google and ChatGPT flagged different brands 73% of the time, despite responding to identical queries.

The divergence is driven by different source ecosystems: Google leans into news-driven sourcing and controversy indexing, while ChatGPT more frequently reflects product reviews, forums, and social discussions. Monitoring a single AI platform provides only a partial risk profile.

5.   Risk Profiles Vary by Industry: In electronics, both engines show elevated negativity, with Google leading because of product recalls and tech controversies. In education, Google is nearly twice as negative as ChatGPT, driven by institutional and political scrutiny.

In apparel, the pattern reverses: ChatGPT is three times more negative than Google, because fewer controversy triggers shift the dominant negativity to product-evaluation queries. A brand monitoring only one engine would miss the dynamics specific to its vertical entirely.

“For better or worse, AI is your brand’s new editorialist,” said Jim Yu, founder and CEO of BrightEdge. “Each engine characterizes your brand differently, and CMOs must treat them as distinct, dynamic environments.”

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What This Means for the CMO
AI is not simply indexing information. It is interpreting it, compressing a brand’s entire digital footprint into a single authoritative response. Each AI engine requires its own monitoring framework, optimization strategy, and reputation management approach. Understanding how AI talks about your brand, and measuring share of voice across search and AI, is becoming a critical metric for CMOs seeking to focus their teams and resources where it matters most.

“Sentiment monitoring across all AI engines is no longer optional,” Yu added. “It’s a revenue imperative. The brands that get ahead of this first will hold the competitive advantage.”

Buried in the Backpages No Longer

AI engines compress a brand’s historical digital footprint into a single response. Content that previously required deep navigation, including discussions from years prior, is summarized instantly. For example:

  • A nearly decade-old product safety recall for a particular cell phone still appears in AI-generated responses when users search for “best phone for battery life.”
  • A prompt about a major brand’s partnership with a celebrity from a years-old Reddit thread as a primary source, presenting community sentiment as established fact.
  • When comparing insurance providers in California, ChatGPT mentions brands that were criticized for not renewing homeowner policies in that state a year ago.

In traditional search, these signals might have required scrolling to page two or beyond. In AI, they appear directly in the answer.

AI is not simply indexing information. It is interpreting it — and presenting that interpretation as authoritative guidance. To access the full research findings, reporters and analysts can visit the BrightEdge website. BrightEdge executives are available for briefings and interviews upon request.

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Amperity Appoints Bridget Perry as Chief Marketing Officer to Accelerate AI-Driven Enterprise Growth

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MTS Staff Writer
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Amperity Appoints Bridget Perry as Chief Marketing Officer to Accelerate AI-Driven Enterprise Growth

Veteran SaaS leader joins as enterprises seek measurable return on customer data in the AI era

Amperity, a leading AI-powered Customer Data Cloud, today announced the appointment of Bridget Perry as Chief Marketing Officer. Perry brings more than two decades of experience scaling high-growth B2B SaaS companies and leading marketing organizations through major technology shifts, including the transition to cloud and product-led growth.

Most recently, Perry served as CMO at Later, where she unified global marketing following a merger to support the company’s next phase of growth. Previously, as CMO at Contentful, she drove 70% year-over-year growth for two consecutive years. Earlier in her career, she led enterprise marketing at Adobe during its shift to the cloud, helping scale the digital experiences business from $300 million to $3 billion, and held senior marketing leadership roles at Microsoft.

Her appointment comes as enterprises face increasing pressure to turn AI investment into measurable business outcomes. As organizations move beyond experimentation, they need a trusted, unified customer data foundation like Amperity to power real-time decisioning, personalization, and revenue growth, without compromising trust or governance.

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“AI has moved from experimentation to execution, and enterprises are under pressure to show measurable results,” said Tony Owens, CEO of Amperity. “Bridget has led marketing teams through real platform shifts, not incremental change. She knows what it takes to build credibility in a market and scale it globally. As customer data becomes a core driver of enterprise growth, her leadership will help us turn this moment into durable impact.”

Perry will oversee global marketing strategy, brand, communications, and growth, with a focus on strengthening Amperity’s category leadership and accelerating enterprise expansion across retail, travel, hospitality, financial services, and other data-intensive industries.

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“AI has raised the bar for what marketing and technology teams are expected to deliver, but most enterprises are still trying to power intelligent experiences on fragmented data,” said Bridget Perry, CMO of Amperity. “You can’t build real-time decisioning on a broken foundation. Amperity has created a living system for customer data. That’s what will separate companies experimenting with AI from those driving measurable growth.”

Under Perry’s leadership, Amperity will expand its global brand presence, deepen enterprise relationships, and accelerate adoption across data-intensive industries. Her appointment signals the company’s commitment to helping organizations move from data-rich to growth-ready in the AI era.

Amperity’s Customer Data Cloud empowers brands to transform raw customer data into strategic business assets with unprecedented speed and accuracy. Through AI-powered identity resolution, customizable data models, and intelligent automation, Amperity helps technologists eliminate data bottlenecks and accelerate business impact. More than 400 leading brands worldwide, including Alaska Airlines, DICK’S Sporting Goods, BECU, Virgin Atlantic and Wyndham Hotels & Resorts, rely on Amperity to drive customer insights and revenue growth. Founded in 2016, Amperity operates globally with offices in Seattle, New York City, London, and Melbourne.

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B2 Communications Adds AI Search Specialization

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Business Wire
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B2 Communications Adds AI Search Specialization

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Expanded content strategy services help business leaders strengthen visibility as search behavior shifts toward AI-driven discovery

B2 Communications is expanding its services to include content optimization designed to help businesses improve their discoverability across traditional search engines, AI-driven platforms and evolving “answer engines.”

“As search behavior continues to evolve, brands need content that is not only well written but structured to be found and understood across a wide range of platforms.”

As artificial intelligence reshapes how information is found and consumed, business leaders are facing a fundamental shift in how content must perform to reach key audiences. Bain & Company reports that four in five search users now rely on AI-generated summaries nearly half (40 percent) of the time. Nearly 60 percent of traditional searches are now ending without a click-through to a website, forcing changes to companies’ digital strategies.

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B2’s expanded service offering integrates traditional search engine optimization (SEO) with emerging approaches such as answer engine optimization (AEO) and generative engine optimization (GEO). Together, these capabilities help organizations make sure their owned content is surfaced, understood and trusted across the platforms where people are actively searching for information and insight.

“As search behavior continues to evolve, brands need content that is not only well written but structured to be found and understood across a wide range of platforms,” said Missy Hurley, CEO of B2 Communications. “Visibility is now more than search rankings. It is about ensuring your expertise and insights are accessible wherever research and decision-making begin.”

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B2’s content optimization services focus on aligning content with audience intent and the formats favored by modern discovery tools. This includes optimizing both existing and new content to improve organic search performance, support question-based queries and increase the likelihood of being surfaced within AI-generated answers and summaries.

The offering builds on B2’s existing communications strategy and content development services, providing clients with a more comprehensive approach to ensuring their messaging reaches the right audiences in an increasingly complex discovery environment.

“Our clients are making meaningful investments in thought leadership and content,” Hurley added. “This work helps ensure those investments continue to deliver value, not just , but as search and discovery continue to change.”

B2 Communications is offering a free training session for business leaders, marketing directors and corporate communications directors to learn about content optimization for search and AI discovery. Register for the March 25 virtual session .

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WHOOP Selects Viant as Strategic Ad Platform

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Business Wire
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WHOOP Selects Viant as Strategic Ad Platform

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Move Accelerates Business Performance Leveraging Viant’s Connected TV Expertise

Viant Technology Inc. , a leader in CTV and AI-powered programmatic advertising, announced a multi-year strategic partnership with WHOOP, the human performance company behind world-class wearable technology. Viant will serve as the DSP of Record for WHOOP powering the brand’s continued growth through true household-level CTV activation linking media exposure directly to business results.

“Viant’s expertise in CTV helps us better understand where and how to engage, so we can continue to grow the brand in thoughtful, impactful ways,” said John Sullivan, Chief Marketing Officer, WHOOP.

The partnership underscores Viant’s continued leadership in CTV, where identity and contextual intelligence are foundational to driving measurable growth. A demonstrated commitment to supply and fee transparency, paired with a high-touch client support model, further reinforced Viant’s selection as the strategic partner for WHOOP.

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“CTV is the most powerful platform for brands to drive new customer growth, and its full value is unlocked through intelligence,” said Tim Vanderhook, CEO and Co-Founder of Viant Technology. “Viant provides WHOOP a deeper understanding of the content environments their CTV ads run alongside, the precision to activate against premium programming, and the ability to measure true incrementality at scale.”

WHOOP delivers world-class wearable technology, personalized coaching, and actionable insights across recovery, sleep, training and health, empowering members to perform at their highest potential. Grounded in performance science, research and data, WHOOP brings that same rigor to its marketing strategy. As CTV becomes the dominant way brands reach new customers and drive demand generation, WHOOP sought a partner capable of delivering precision, transparency, and measurable results in CTV.

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“Our focus is on building authentic connections with our audience,” said John Sullivan, Chief Marketing Officer, WHOOP. “Viant’s expertise in CTV helps us better understand where and how to engage, so we can continue to grow the brand in thoughtful, impactful ways.”

The partnership signals a shared commitment to performance, transparency, and measurable growth, raising the bar for how brands activate and evaluate CTV investment.

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Medallia Releases 2026 State of Customer Experience Report: 66% of Brands Believe CX is Improving, Only 17% of Consumers Agree

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Medallia Releases 2026 State of Customer Experience Report: 66% of Brands Believe CX is Improving, Only 17% of Consumers Agree

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Data shows a dramatic rise in AI use for CX, though consumers still rely on human support when needs are more complex

Operational silos stall CX progress – data collection increases while 30-40% of departments fail to act on critical customer insight

Medallia Inc., the global leader in customer and employee experience, released its 2026 State of Customer Experience Report, a comprehensive look at how organizations are navigating rapidly shifting consumer expectations, AI adoption, and operational pressure. The findings reveal a concerning trend, that while organizations remain bullish on their progress, actual experience quality has hit a plateau and the gap between brands’ perception and consumer reality is widening. Although 66% of CX practitioners believe experiences improved last year, only 17% of consumers agree. This gap underscores a pivotal opportunity for CX teams to prove value, not just intent – and they’re finding early success with AI.

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The report drew insights from surveys to over 1,500 consumers and 550+ global customer experience practitioners, as well as benchmarks from over 600 anonymized Medallia customer programs, illuminating that a key reason for lagging improvement is that CX progress breaks down at the point of action. Although companies collect more data than ever, 30-40% of departments take no action after receiving the information.

“Gathering insights alone isn’t a strategy, and the real magic happens when you stop just listening and start actually doing something with what you hear,” said Carrie Parker, Chief Marketing Officer at Medallia. “In 2026, it’s time to ditch outdated signals that miss out on where friction truly occurs for the modern consumer. Brands that come out on top will be those that act with purpose and tie experience improvements directly to business outcomes.”

Experience management professionals still have more challenges to overcome, as many teams operate with limited organizational scope and budget, and rely on customer feedback surveys to inform CX strategies, which are losing favor with consumers. Customer survey response rates have declined year-over-year, and over half of the consumer respondents believe companies should infer satisfaction from behaviors and signals, not surveys alone. Meanwhile, professionals still rank them as a top data source for experience insights.

These pressures are accelerating a shift toward holistic signal-based strategies, with 78% of surveyed practitioners planning to adopt new metrics or approaches in 2026. Teams that use a wider array of data sources – such as conversational intelligence paired with digital behavior analytics – are significantly more likely to prove ROI and exceed performance targets.

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Businesses and Consumers Alike Embrace AI, But Still Appreciate a Human Touch

AI is making its impact, as more than 80% of CX practitioners see positive returns employing AI. Even more, 81% say their organization has clear, measurable goals for using AI in customer experience, up six points from last year. It is clear that what began as experimentation is becoming core to operational planning.

On the consumer side, however, there is still a demand for real human engagement. Consumers embrace automation for simple needs, but prefer human support when issues escalate. They cite trust, privacy, and accuracy as their main concerns with AI in CX environments, suggesting that AI succeeds best when paired with transparent, human-centered design.

And organizations agree, as 83% say equipping frontline employees with effective AI tools is essential for meeting 2026 goals, highlighting a shift toward augmented human engagement, rather than full replacements.

Looking Ahead: 2026 Priorities and Expectations for CX

As 76% of CX leaders expect higher budgets in 2026, focus must turn to broadening signals and expanding the influence of CX across the entire organization. It’s not just about leveraging AI, but scaling it responsibly to expand narrow feedback loops. Success will depend on CX teams building deeper business relationships that turn insights into cross-departmental action. Every touchpoint – from digital behavior to frontline service – must have a lens on financial outcomes.

Consumers are clear about what builds trust. They want knowledgeable employees (43%), consistent experiences (43%), and meaningful appreciation of brand loyalty (36%). However, with only 22% of consumers feeling “very loyal” and 40% having switched brands recently, the mandate for 2026 is clear: CX must move from a siloed metric to a core business driver that maintains loyalty through coordinated, organization-wide action.

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CobbleStone Software Announces Major VISDOM AI Enhancements to Accelerate Contract Review and Collaboration

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PRNewswire
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CobbleStone Software Announces Major VISDOM AI Enhancements to Accelerate Contract Review and Collaboration

CobbleStone® has released major VISDOM AI and collaboration enhancements that dramatically improve document processing speed, in‑editor intelligence, and more for legal and contracting teams.

CobbleStone Software, a recognized leader in contract lifecycle management (CLM) and contract artificial intelligence, is proud to introduce substantial enhancements to its VISDOM artificial intelligence and collaborative document workflows. The update delivers improved processing speed, a more intuitive user experience, and deeper governance controls to support legal, procurement, compliance, and other teams across various industries.

This update introduces VISDOM preloading, a significant performance enhancement that enables users to drag and drop files into the system and have VISDOM process them entirely in the background. Documents undergo OCR and AI analysis while users continue with other tasks, receiving notifications when processing is complete. This new workflow allows faster VISDOM Add‑In load times and mitigates long waits associated with large or complex agreements.

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To further support in‑platform collaboration, CobbleStone has added VISDOM tools directly inside the online collaborative editor. Users now have access to a document‑aware chatbot that automatically summarizes content and suggests relevant prompts, alongside clause search, clause library access, and automated document alerts. This seamless integration provides intelligent assistance at the moment of review and redlining, helping teams accelerate contract negotiations without switching applications.

An additional enhancement includes a configurable field‑processing limit for VISDOM Basic to protect system performance. This field-processing limit is configurable, depending on the user’s needs for metadata fields.

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“Organizations rely on CobbleStone to streamline complex contract processes without sacrificing oversight,” said Mark Nastasi, CEO & Founder of CobbleStone Software.

“With these enhancements, we focused on delivering smarter in‑editor AI assistance that helps legal and contract teams work faster and with greater confidence.”

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The Death of Third-Party Cookies Was Just the Start. Are You Ready for Consent Orchestration?

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MTS Staff Writer
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The Death of Third-Party Cookies Was Just the Start. Are You Ready for Consent Orchestration?

You likely breathed a sigh of relief when the timeline for the cookie death got pushed back. But that was just the warm-up act. Privacy laws are fracturing the internet into dozens of tiny legal zones. Trying to manage compliance manually with a spreadsheet is now a fast track to a lawsuit. To survive this chaos, you need more than a banner. You need consent orchestration platforms to handle the heavy lifting of legal logic automatically.

What Does This Technology Actually Do?

We need to clarify what this technology actually does for your stack. Consent orchestration platforms are not just about showing a pop-up box on your homepage. They act as a central brain that governs how data flows through your entire company.

They dynamically enforce rules based on where the user is standing right now. If a user in Berlin travels to New York, the rules change instantly. This system ensures that every marketing tool you use automatically complies with the specific laws of the land. It removes the human error that usually leads to massive GDPR fines.

Is This Just Another Cookie Banner?

You might think you are safe because you have an ‘Accept All’ button. That is a dangerous assumption.

  • Banners only collect the ‘yes’ or ‘no’ from the visitor on the frontend.
  • Consent orchestration platforms actually block the tracking tags from firing in the background.
  • Simple tools fail to pass that signal to your third-party vendors downstream.
  • Orchestration maintains a permanent audit trail of exactly when permission was given.
  • It manages the version control of legal policies as regulations change overnight.

Can You Stop Data Leaks Instantly?

A customer might click ‘unsubscribe’ on their mobile app while riding the bus. Does your email marketing tool know that instantly? If you send them a newsletter five minutes later, you just broke the law.

True privacy requires real-time signal propagation. Consent orchestration platforms sync this status across every tool in your stack immediately. When a user says stop, every system from your CRM to your ad buying platform must stop listening at the exact same second. This synchronization is the only way to honor user intent in a complex digital ecosystem.

Does Privacy Hurt Your Data Quality?

You cannot target an audience that you cannot see. Privacy controls inevitably shrink your addressable market size.

  • Blind Spots:

You will lose visibility into a significant chunk of your web traffic as users opt-out more frequently.

  • Higher Costs:

Your acquisition costs will rise because you are targeting broader audiences rather than specific individuals.

  • Clean Data:

The data you do collect becomes more valuable because it is fully compliant and explicitly given.

  • Trust Metrics:

High consent rates become a new KPI for measuring brand health and customer loyalty.

Are Preference Centers the New Loyalty Hub?

You should stop treating privacy as a legal hurdle and start treating it as a customer experience feature. A good preference center is a loyalty tool. It lets users choose exactly what they want to hear from you.

Instead of a binary ‘subscribe’ or ‘unsubscribe,’ you offer granular choices. Consent orchestration platforms power these portals. When you give users control over frequency and topics, they are far less likely to mute you completely. It turns a legal requirement into a relationship builder. You learn what they actually want, rather than just guessing.

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Can Users Opt Out of Your AI Models?

Your legal team is likely worried about how you are using customer data to train your internal AI models.

  • Users now demand the specific right to exclude their personal content from machine learning datasets.
  • Consent orchestration platforms tag specific data fields as ‘do not train’ to protect your models.
  • If you ignore this, you risk having to delete your entire trained model later.
  • Regulators are watching this specific area closely as generative AI adoption grows rapidly.
  • Transparency here builds massive trust with tech-savvy users who fear their data is being stolen.

Will Tricky Design Get You Sued?

Designers love to use ‘dark patterns’ to trick users into clicking the green button. Regulators are cracking down on this.

  • Color Tricks:

You cannot make the ‘Accept’ button bright green and the ‘Reject’ button invisible gray anymore.

  • Confusing Copy:

Using double negatives like ‘Don’t sell my info’ in a checkbox is now illegal in many zones.

  • Buried Settings:

You must make it just as easy to withdraw consent as it was to give it initially.

  • Forced Action:

You cannot block access to the website content just because a user refused to be tracked.

Who Are the Key Vendors Right Now?

The market for consent orchestration platforms is crowded. You need to pick a partner that prioritizes automation over simple compliance.

Legacy players like OneTrust are evolving to handle these complex real-time signals. Newer entrants like Ketch are building ‘data permissioning’ directly into the code layer. You need to evaluate these tools based on their API speed, not just their legal templates. Your choice defines how fast your marketing team can move without breaking the law.

Privacy as a Workflow

Privacy is no longer a static document on your footer. It is a living data workflow. By deploying consent orchestration platforms, you turn compliance into a competitive advantage. You build a brand that respects the user, and that is the best marketing strategy of all.

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Blend Enters Mexico as a Strategic Client Market and Operational Center, Deepening Collaboration with AWS to Accelerate Enterprise AI Across the Americas

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PRNewswire
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Blend Enters Mexico as a Strategic Client Market and Operational Center, Deepening Collaboration with AWS to Accelerate Enterprise AI Across the Americas

Blend, a leading provider of AI-powered data science and analytics services, announced the formal launch of its expanded Mexico operations, establishing a strategic hub to drive enterprise AI transformation for Mexican clients and, through its nearshore capabilities, accelerating delivery across the broader region.

With an established office in Polanco in Mexico City and a growing presence in Guadalajara, Blend is investing in Mexico as both a high-growth client market and a center of technical excellence. The expansion positions Blend to serve public sector and enterprise leaders executing large-scale modernization programs, while strengthening nearshore delivery to provide clients beyond Mexico with greater speed, alignment, and scale.

Cloud, data, and AI modernization efforts are accelerating across Mexico, particularly within government and financial institutions, with a reported 88% of companies saying AI has increased productivity and boosted revenue or profits, and 96% planning to increase IT budgets in 2026 with AI as a top investment area, according to AWS. Blend’s in-market presence is designed to meet rising demand for advanced AI, generative AI, data engineering, cloud architecture, and marketing technology solutions delivered in close partnership with clients.

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As a Premier Tier Services Partner of Amazon Web Services (AWS), Blend is deepening its go-to-market collaboration with AWS Mexico — jointly supporting enterprises in accelerating cloud migration, data modernization, and AI initiatives. Together, Blend and AWS are positioned to help Mexico’s leading organizations move from AI experimentation to enterprise-scale implementation.

“This expansion strengthens our platform across the Americas,” said Oz Dogan, President, Americas of Blend. “By establishing a deeper presence in Mexico, we are expanding our capacity to serve complex enterprise programs — both for local clients and for organizations across the region. Our focus is simple: build where demand is growing, invest in long-term capability, and deliver on our clients’ needs at a consistently high level.”

“Mexico is a critical and high-growth market,” said Andrés Barrantes, SVP, LATAM Region Head at Blend. “There’s real energy here. Organizations are investing in modernization and moving with urgency, and they need partners who are capable of driving real outcomes. Our investment reflects our confidence in the market and our belief in the long-term opportunity in this growing market.”

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While the broader regional environment continues to evolve, Blend’s investment in Mexico reflects a long-term view — one grounded in the market’s talent depth, client demand, and strategic importance to the Americas.

Blend expects to hire 100 net-new employees in Mexico during its first year of operations. The company is building multidisciplinary teams across AI and machine learning, data engineering, solution architecture, prompt engineering, and marketing technology.

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AlphaMetricx Unveils Advanced Conversational AI for Communications Teams

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AlphaMetricx Unveils Advanced Conversational AI for Communications Teams

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Insights by AlphaMetricx AI Redefines Reputation Intelligence at the Speed of AI

AlphaMetricx, the AI-powered reputation intelligence platform, announced major new conversational AI capabilities that set the enterprise standard for reputation intelligence for communications professionals.

“Communications leaders need far more than historical data alone. They need intelligence that answers ‘why’ and ‘what next,'” said Rajesh Kari, Global Business Leader and Vice President at AlphaMetricx.

At the core of AlphaMetricx’s AI-native architecture is a custom model tailored for reputation intelligence requirements. Built from the ground up with AI as its foundation, the platform delivers brand insights that legacy media monitoring tools cannot replicate.

“Communications leaders need far more than historical data alone. They need intelligence that answers ‘why’ and ‘what next,'” said Rajesh Kari, Global Business Leader and Vice President at AlphaMetricx. “Our conversational AI transforms how teams interact with their media data, delivering insights that feel like having an expert analyst available 24/7.”

And unlike generic models, Insights by AlphaMetricx AI’s custom AI is backed by human experts and understands the nuances of corporate communications, media narratives, and reputational risk—enabling it to generate real-time contextual insights based on each company’s unique dashboard parameters and strategic communications priorities.

Insights by AlphaMetricx AI: Industry-Leading Media Analysis Depth

The platform’s new Insights by AlphaMetricx AI feature represents a significant leap in insight quality beyond the raw unfiltered measurement of traditional media monitoring. Insights by AlphaMetricx AI leverages the custom AI to provide multi-layered contextual analysis including narrative evolution tracking, influence mapping, competitive positioning, and early warning signals—all contextualized to the user’s specific organization.

Key Insights by AlphaMetricx AI capabilities include:

  • Adaptive Intelligence: The system learns from dashboard configurations and historical queries to deliver increasingly relevant insights aligned with organizational priorities;
  • Multi-Source Data Upload: Users can upload proprietary data sets, including Excel spreadsheets and internal reports, enabling Insights by AlphaMetricx AI to analyze custom data alongside media intelligence for comprehensive strategic recommendations; and
  • Natural Language Querying: Teams can ask complex questions in conversational language and receive structured, actionable responses with supporting data visualizations.

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AI-Native Architecture Delivers Competitive Advantage

The team behind AlphaMetricx architected the platform from inception with AI at its core, enabling deeper integration, faster processing, and more sophisticated analysis than legacy systems retrofitted with AI query layers. This foundational difference means Insights by AlphaMetricx AI doesn’t just search existing data—it continuously learns, adapts, and generates intelligence that evolves with each interaction. This structural advantage allows the platform to deliver real-time analysis and strategic recommendations impossible to achieve when AI is merely layered atop legacy systems.

Conversational AI Transforms User Experience

AlphaMetricx’s conversational AI interface fundamentally reimagines how communications professionals interact with media intelligence. Users can now:

  • Query platform data using natural language without building complex Boolean searches
  • Upload custom data sets for integrated analysis with media monitoring data
  • Receive AI-generated strategic recommendations based on comprehensive data synthesis
  • Generate executive-ready reports and presentations through simple conversational requests

“The ability to simply ask our platform ‘How did our messaging perform versus competitors last quarter?’ and receive a comprehensive analysis with actionable recommendations represents a far more modern way to interact with media intelligence,” Kari added. “Staying on top of your brand narrative and the potential to connect on a deeper level with audiences is more important than ever.”

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Proprietary Metrics Continue to Set AlphaMetricx Apart

While platforms retrofitting AI capabilities onto legacy monitoring systems still focus on volume and reach, AlphaMetricx’s AI-native platform delivers unprecedented precision and granularity through communications metrics unavailable elsewhere in the market:

  • PR Impact Score: AlphaMetricx is the only platform providing article-level impact scoring that quantifies the influence of each media mention, allowing communicators to determine what moves the needle by factoring in their own brand reach, brand prominence, brand spokesperson and brand strength. The PR Impact Score analyzes source authority, audience reach, sentiment, message prominence, and competitive context to assign a quantitative value to every piece of coverage—metrics that require deep customization beyond generic AI tools.
  • Message Congruence Analysis: This unique feature identifies which messages are resonating in media coverage and which are being lost or diluted. By analyzing the alignment between intended messaging and actual media narratives, communications teams can refine their approach in real-time and adapt as needed.
  • Campaign Monitor: The advanced Campaign Monitor feature enables comprehensive campaign analytics, allowing teams to track how specific initiatives trend over time, analyze audience engagement patterns, and benchmark performance against previous campaigns or competitors. This comparative capability transforms campaign measurement from periodic reporting to continuous optimization.

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Pega Blueprint Updates Make Vibe Coding Enterprise Ready

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ExpertFile Expands Its Platform to Help Marketing Teams Strengthen Expert Visibility in AI-Driven Search

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New AI assistant enables fast, secure design of agentic workflows built for how enterprises actually run

Pegasystems Inc. , The Enterprise Transformation Company™, announced a new end‑to‑end vibe coding experience in Pega Blueprint™ making fast, conversational application design reliable at enterprise scale.

The new Pega Blueprint vibe coding assistant extends natural language interaction across the design process so teams can move quickly without sacrificing control.

Available , the new Pega Blueprint vibe coding assistant extends natural‑language interaction across the design process so teams can move quickly without sacrificing control. Users can now converse directly with their app designs with text or speech to refine workflows, data, and logic at any point while also shifting seamlessly to graphical drag‑and‑drop modeling. By combining the speed of AI‑augmented design with an enterprise-ready framework and proven best practices, organizations can rapidly innovate their mission-critical workflows while helping to ensure the security and predictability they require to deploy with confidence.

Marketing Technology News: MarTech Interview with Omri Shtayer, Vice President of Data Products and DaaS at Similarweb

Market context: The need to move fast WITHOUT breaking things
As enterprises push to modernize faster, many are embracing vibe coding to accelerate application design. Gartner® predicts that “by 2028, 40% of new enterprise production software will be created using vibe coding techniques and tools.”1 However, scaling vibe coding across an enterprise introduces new risks, including a dramatic rise in coding errors that only compounds existing legacy debt. In addition, most vibe coding tools miss the bigger picture by focusing on just the code rather than on reimagining business processes and optimizing outcomes. Apps built with vibe coding must deliver value while remaining understandable, governable, and ready to operate across complex systems and regulatory environments.

A closer look: Bringing good vibes to the enterprise
Pega Blueprint addresses this challenge by combining the fun and speed of vibe coding with a structure and architecture purpose‑built for enterprise‑grade outcomes. Rather than generating volumes of opaque code, Pega Blueprint produces clear, reliable, and predictable workflows built on industry best practices that meet stringent enterprise standards for security, governance, and maintainability. Key benefits include:

Marketing Technology News: Martech Architecture For Small Language Models: Building Governable AI Systems At Scale

  • Building faster with conversational AI: Use natural language to speed the entire design process – including initial ideation, workflow refinement, data model and integration building, and persona identification.
  • Streamlining UI refinement: Quickly change the app user interface in Pega Blueprint’s live preview through either drag-and-drop capabilities or instructing the vibe coding assistant on how to modify the layout, components, or structure – whatever is more convenient for the user.
  • Lowering technical debt by design: Pega Blueprint uses AI to generate visual models of enterprise applications which business and IT users can immediately understand, validate, and evolve. Incorporating industry best practices reduces the chance of introducing ‘AI slop’ or technical debt by producing workflows that are more maintainable and predictable from the outset.
  • Accelerating modernization with context: Prototype new workflows or modernize legacy systems by incorporating documents, screenshots, or demonstration videos at any stage in the process. This allows users to refine designs and workflows continuously as new data points and insights become available.
  • Democratizing development: Empower anyone — from businesspeople to seasoned developers — to confidently design and deliver enterprise‑grade outcomes regardless of technical background with an intuitive interface.

The benefits of vibe coding with Pega Blueprint can be felt well past the initial app design phase and into development. Completed blueprints can be pushed into a Pega Platform™ environment to deploy agentic workflows in minutes. With a governed platform-based approach, Pega Blueprint helps enable enterprises to accelerate the end-to-end software design and development lifecycle from idea to prototype to live, scalable, secure cloud applications.

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DataDome and Botify Partner to Give Businesses Full Control Over Agentic Commerce, from Discovery to Transaction

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DataDome and Botify Partner to Give Businesses Full Control Over Agentic Commerce, from Discovery to Transaction

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New partnership helps businesses securely seize the agentic commerce opportunity

DataDome, the leader in bot and agent trust management, and Botify, the leading all-in-one platform for AI search solutions, announced they are partnering to help businesses prepare for, and succeed in, agentic commerce by addressing the entire digital journey, from discovery to trusted transaction.

According to joint research from DataDome, Botify, and research firm Retail Economics, AI-driven discovery is already mainstream behavior: 73% of consumers have already used AI assistants, and 38% have used them specifically for shopping tasks such as product discovery, comparisons, and recommendations. In conjunction, AI bot traffic to retail and ecommerce websites has skyrocketed, outpacing consumer adoption and anticipating growing demand. As consumers continue to leverage AI, businesses must ensure these agents can move through their funnels securely and without friction.

Marketing Technology News: MarTech Interview with Omri Shtayer, Vice President of Data Products and DaaS at Similarweb

The security dimension is also acute. Galileo, DataDome’s threat research team, found that 80% of AI agents do not declare themselves properly when visiting websites, leaving retailers exposed to distorted marketing analytics, inflated AI referral signals, misinformed commercial decisions, and fraud.

Successful agentic commerce requires orchestration across multiple layers of the AI ecosystem, not just payments or fraud prevention alone. This partnership combines Botify’s expertise in ensuring agents and bots can fully consume the right optimized content with DataDome’s ability to distinguish legitimate agents from malicious bots, giving businesses a clear path to managing their full agentic funnel.

Marketing Technology News: Martech Architecture For Small Language Models: Building Governable AI Systems At Scale

“Agentic traffic is distorting marketing data and reshaping how consumers discover and evaluate products,” said Aurelie Guerrieri, DataDome’s Chief Marketing & Alliances Officer. “Businesses that can’t distinguish a trusted AI agent from an abusive one aren’t just exposed to risk; they’re flying blind on strategy. Blocking all agents isn’t the answer, but neither is letting everything through. Marketers need nuance and precision to understand the intent and value behind AI traffic. With DataDome and Botify, customers get the full picture of who is accessing their funnel and the confidence to act on it.”

“AI agents are now the intermediary between your customers and your products. If your content isn’t structured and optimized for how AI agents search, your products won’t be found,” said Joe Doran, Chief Product Officer at Botify. “If product data isn’t machine-readable and properly accessible, it runs the risk of being invisible to AI. Botify exposes exactly how agents access, consume, and display brands’ content to consumers, and helps them fix the gaps via scalable automation: from standardizing product attributes and metadata to ensuring catalog data is easily exposed. DataDome adds the intelligence to separate trusted agents from abusive traffic without blocking legitimate discovery. Together, we help brands quantify the commercial impact and build a clear roadmap for AI-ready search and governance.”

Addressing a Shifting Market

Agentic commerce is driving convergence across teams that have historically operated in silos. Marketing, product, IT, engineering, security, fraud, and business leaders must now collaborate to optimize outcomes across the full customer journey. Decisions about AI agents are not owned by any one function; they are company-wide.

The data shows why such alignment is necessary. According to Botify, AI bot traffic increased 5.4x across retail and ecommerce websites in 2025 alone. The company’s data also reveals a growing share of consumer evaluation and discovery now takes place inside AI interfaces before a retailer’s site is ever visited, creating massive marketing and data integrity challenges.

Stakeholders must work together to define the technology stack that enables agentic commerce. DataDome and Botify offer best-in-class performance and easy integration with the technology stacks businesses already use, bringing marketing and trust management together across the full agentic journey.

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Guideline Launches Media Plan Management MCP Server, Enabling Agentic AI Workflows Across Media Planning & Buying

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Guideline Launches Media Plan Management MCP Server, Enabling Agentic AI Workflows Across Media Planning & Buying

New Model Context Protocol (MPC) server technology enables agencies and advertisers to connect their own AI agents directly to Guideline’s media plan management technology

Guideline a leading provider of Ad Intelligence and Media Plan Management technology announced the launch of its Media Plan Management MCP Server, a new product that enables customers including advertising agencies, media buyers, and enterprise clients to connect their own AI agents directly to Guideline’s Media Plan Management platform. Built on the Model Context Protocol (MCP), an open standard that has rapidly emerged as the universal language for agentic AI connectivity, the new server is available now and represents the first in a series of MCP capabilities from Guideline.

Media planning and buying workflows have traditionally required teams to navigate multiple platforms, manually export data, and compile reports across disconnected systems. As agencies manage increasingly complex, multi-market campaigns, the need for faster, more integrated workflows has become critical. The Guideline Media Plan Management MCP Server addresses this challenge by providing a standardized, plug-and-play connection between any MCP-compatible AI agent and Guideline’s media plan management tools no custom API development or integration work required.

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With the new Guideline MCP Server, teams can connect their existing AI agent whether Claude, ChatGPT, or any proprietary internal tools directly to Guideline’s media plan management platform. Planners and buyers can then interact with their media plans conversationally: asking natural-language questions about campaign status, budget allocation, vendor performance, and plan-to-actual comparisons, and receive instant, actionable answers. The result is a faster, more intuitive way to manage the full media planning and buying lifecycle from initial plan creation through execution and reconciliation.

The Model Context Protocol, originally introduced by Anthropic and now supported by major AI platforms including OpenAI, Google, and Microsoft, has been widely adopted across the technology industry as the standard for connecting AI agents to external platforms and tools. Industry analysts project that 75% of enterprise gateway vendors will integrate MCP capabilities by the end of 2026. By building on this open standard, Guideline is ensuring its clients can leverage the most broadly adopted AI connectivity framework available today.

“Our customers have highlighted that media planning and buying is increasing in complexity and as a result many are deploying AI agents to manage this growing sophistication,” said Vincent Mifsud, Guideline’s CEO. “By launching our MCP Server, we’re ensuring that Guideline is at the center of this transformation providing our clients the AI-native infrastructure they need to streamline their workflows, make faster decisions, and focus their talent on strategy rather than manual processes.”

For agencies, brands and their media planners, the MCP Server transforms how teams interact with their media plans on a daily basis. Rather than switching between platforms, pulling manual exports, or waiting on reporting cycles, planners and buyers can engage in conversational workflows querying plan details, analyzing performance against targets, and generating summaries within the AI tools already embedded in their daily work. The Guideline MCP Server supports multi-step analysis, enabling agents to retrieve, consolidate, and analyze media plan data across campaigns, clients, and markets in a single conversation. Because the MCP Server provides secure, read-only access, agencies can integrate with confidence knowing their plan data remains protected.

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“Launching our Media Plan Management MCP Server marks a pivotal moment in Guideline’s agentic strategy,” said Steve Silvers, Guideline’s Chief Product Officer. “We’re meeting our clients where they are by integrating with their own AI-powered workflows. By adopting the Model Context Protocol, we’re giving agencies and brands the freedom to bring their own AI agents and unlock the full power of our platform without the friction of traditional integrations. This is the first of several MCP-enabled capabilities we plan to deliver across our media plan management suite as we continue building toward an AI-native platform.”

The Media Plan Management MCP Server is the first in a planned series of MCP-enabled capabilities from Guideline. The company plans to extend MCP connectivity across its full suite of media plan management and data solutions, enabling agencies to bring agentic AI to every stage of the planning and buying process.

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PulsePoint Scales HCP Omnichannel Offering with Reddit Integration

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PulsePoint Scales HCP Omnichannel Offering with Reddit Integration

Reddit media now powered by advanced HCP-level targeting and measurement 

PulsePoint, the leading technology company transforming health marketing, announced a significant expansion of its omnichannel capabilities through a new integration with Reddit. With this integration, healthcare marketers can activate PulsePoint’s proprietary healthcare professional (HCP) audience segments directly on Reddit and seamlessly coordinate these buys with campaigns running across PulsePoint’s broader omnichannel ecosystem.

Industry research suggests that a substantial proportion of HCPs engage with social platforms to connect with peers, exchange points of view, discuss medical questions, and consume educational information. Through PulsePoint’s Audience Manager capability, healthcare marketers can create dynamic, verified HCP target lists to reach and engage with their target audiences on Reddit, built around clinical intent, digital interests, and brand relevance.

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Reddit campaigns delivered through PulsePoint benefit from:

  • Self-serve activation within a high-engagement social channel used by a large and diverse number of U.S. healthcare professionals
  • Coordinated omnichannel orchestration using PulsePoint’s interoperable audiences and data across Reddit and other social channels, programmatic display, EHR, DOOH, and more
  • NPI-level omnichannel campaign measurement delivering actionable insights on engaged HCPs across channel activations, including NPI, profession, and detailed site visit data such as day, time, and referral source
  • Audience intelligence optimized for outcomes, enabling social platforms to deliver stronger ROI

“Healthcare professionals are increasingly turning to community platforms to explore clinical topics, evaluate new therapies, and engage in peer-to-peer discussion,” said Ezra Suveyke, Chief Product Officer at PulsePoint. “With this expansion of our omnichannel ecosystem, we’re giving brands the ability to engage HCPs on Reddit in a way that’s responsive to HCPs’ behavior across other channels and their interactions with the brand.”

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

In Q4 2025, the number of daily active uniques (DAUq) on Reddit increased by 19% year over year, with views to health topics on Reddit growing over 61% year over year. Active medical communities such as r/medicine and other clinically focused subreddits attract medical professionals who use the platform to stay informed, share insights, seek advice, and debate emerging trends.

For marketers looking to move beyond social metrics, PulsePoint’s exclusive HCP365 solution provides granular, NPI-specific insights across channels, including site visits, search activity, and email engagement, delivering a more complete view of HCP behavior and impact.

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Comscore and Yahoo DSP Partner to Advance CTV Political Advertising with Proximic Political Audiences

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Comscore and Yahoo DSP Partner to Advance CTV Political Advertising with Proximic Political Audiences

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New solution bridges linear and streaming campaign strategies for smarter voter engagement in the 2026 election cycle

Comscore, a global leader in measuring and analyzing consumer behaviors, and Yahoo DSP announced a first-to-market partnership to enhance political advertising effectiveness across Connected TV (CTV) with the launch of Proximic Political Audiences.

The partnership is designed to support leading political activation partners, including MiQ’s dedicated political division, enabling agencies and campaigns to operationalize Proximic Political Audiences at scale across premium CTV inventory.

As political campaigns gear up for pivotal House, Senate, and Gubernatorial races in 2026, advertisers face increasing pressure to unify fragmented media strategies. Working with activation partners such as MiQ, Proximic Political Audiences align CTV targeting with verified linear TV exposure, helping campaigns improve incremental reach by adjusting advertising across screens with precision.

Marketing Technology News: MarTech Interview with Kurt Donnell, CEO @ Freestar

“Political campaigns can’t afford to treat linear and streaming as separate worlds,” said Rachel Gantz, Managing Director, Proximic by Comscore. “By bringing linear exposure data into streaming, Proximic and Yahoo are helping advertisers connect the dots across screens, turning fragmented impressions into coordinated, more effective voter reach that makes every ad dollar work harder.”

This release represents a meaningful evolution in how linear TV intelligence informs streaming audiences for the 2026 political cycle, leveraging Comscore’s depth in local market measurement, Proximic’s activation capabilities, and Yahoo DSP’s scaled platform to give advertisers a strategic edge.

“Today’s voters are seeing messages everywhere, but connecting those touchpoints is what drives real impact,” said Danny Dikovsky, Head of Independent Agency Sales, Yahoo DSP. “Comscore’s depth in local TV measurement in conjunction with Yahoo ConnectID gives us unmatched precision and the foundation to make streaming political campaigns more efficient and effective. Together with Proximic by Comscore, we’re helping advertisers make smarter streaming activations and drive voter impact where it matters.”

Marketing Technology News: Programmatic Ad Platforms With Unique AdTech Features

“For political campaigns to engage voters in premium, high-attention environments, CTV is a critical part of a holistic media strategy,” said Jesse Contario, Regional Vice President, Southeast and Political, MiQ. “Supported by a leading programmatic partner in Proximic by Comscore and Yahoo, we help our clients optimize their CTV performance and understand true voter impact.”

Proximic Political Audiences are available for both PAC and candidate advertising campaigns and can be measured at the local market level, enabling precision and accountability in spend.

This collaboration marks a pivotal moment for political advertisers, enabling smarter, cross-platform coordination and helping to maximize both reach and resonance, just in time for a critical election year.

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Tata Elxsi Launches DevStudio.ai, a Multi-Agent, ASPICE-Aligned GenAI Platform to Accelerate Automotive Software Engineering

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Tata Elxsi Launches DevStudio.ai, a Multi-Agent, ASPICE-Aligned GenAI Platform to Accelerate Automotive Software Engineering

  • Multi-Agentic suite designed as an AI co-engineer across the SDLC, supporting multiple LLMs

  • Customer deployments have demonstrated clear speed-to-market and productivity gains across multiple domains, including body, chassis, infotainment, and SDV architectures

  • Enables automotive-grade software quality, at speed

Tata Elxsi, a global leader in design and technology services, announced the launch of DevStudio.ai, an automotive multi-agentic solution purpose-built to accelerate the automotive software development lifecycle (SDLC) for OEMs, system suppliers, and semiconductor companies.

DevStudio.ai is an ASPICE-aligned solution powered by multi-agentic architectures, enabling collaboration between automotive engineers and AI across engineering workflows. A key architectural highlight is its ability to operate on both cloud-based infrastructure and air-gapped on-premise environments, delivering deployment flexibility and choice aligned with enterprise infrastructure and AI policies.

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While several generative AI tools are emerging to support software development, most are designed for broad-based application development. DevStudio.ai is purpose-built for the automotive SDLC, combining Tata Elxsi’s deep domain expertise with generative AI to address the complexity, safety, and compliance requirements of automotive software engineering.

The platform supports all key stages of the ASPICE V-cycle, including system and software requirements, architecture, implementation, testing, and qualification, while maintaining end-to-end traceability across the engineering lifecycle. It also integrates seamlessly with widely used OEM and Tier-1 engineering toolchains, enabling teams to embed DevStudio.ai co-engineers directly into existing development environments.

Sundar Ganapathi, Chief Technology Officer – Automotive, Tata Elxsi, said, “The automotive industry is at an inflection point. Competitive pressures now demand software development at China speed. At the same time, companies must maintain automotive-grade quality and meet global industry standards. DevStudio.ai helps address this challenge. It brings the power of generative AI into the automotive software development lifecycle. This enables OEMs and suppliers accelerate development, while maintaining the rigor required for safety-critical automotive systems.”

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DevStudio.ai is now in select programs of global OEMs and Tier-1 suppliers in North America, Japan, and India, across body, chassis, infotainment, and SDV architectures, with early deployments demonstrating clear speed-to-market and productivity gains.

Pallavi Dalal, Head – Automotive GenAI and AI Practice, Tata Elxsi, added, “DevStudio.ai represents the culmination of intensive research and development between our automotive domain and GenAI specialist teams. We see the future of automotive software development where an AI co-engineer works alongside every engineer. To realise this vision, we are partnering with the entire innovation ecosystem, from leading GenAI companies to hyperscalers, to build and scale DevStudio.ai. This is Future forward for automotive engineering.”

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UpKeep Launches Studio, an App Platform That Lets Maintenance Teams Build Their Own Software

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Suplari Launches Spend Analytics for the AI Era

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New platform includes an AI-powered app builder, a curated marketplace of ready-made apps, and a partner program for third-party developers, plus a concierge tier with dedicated Forward Deployed Engineers for complex operations

UpKeep, the leading mobile-first Asset Operations Management platform, announced the launch of UpKeep Studio, an app platform that gives maintenance and operations teams the ability to build, install, and run custom software applications directly inside their CMMS, without writing a single line of code.

CMMS platforms handle work orders, assets, and parts, but the supporting workflows teams depend on still live in spreadsheets, standalone tools, and fragile integrations. Studio closes that gap.

CMMS platforms handle work orders, assets, and parts, but the supporting workflows teams depend on (safety tracking, compliance, inspections, fleet management) still live in spreadsheets, standalone tools, and fragile integrations. Studio closes that gap.

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“Maintenance is a $700 billion industry, and most of it still runs on spreadsheets,” said Ryan Chan, CEO and founder of UpKeep. “Studio changes that. Instead of buying another standalone tool, teams can describe what they need in plain language and have a working app in minutes, built on their real data and embedded right where they already work.”

Three Ways to Build

Studio offers three paths to custom tooling, designed to meet teams wherever they are:

  • App Marketplace: A curated catalog of ready-made apps covering common maintenance workflows. Teams can browse and start using apps instantly with no installation or configuration required. Apps run on UpKeep infrastructure with existing authentication and SOC 2 compliant security.
  • AI App Builder: A chat-based interface where users describe the app they need in plain language and Studio builds it. The builder has full read/write access to the UpKeep API, so apps work with real data.
  • Studio Concierge: For organizations with complex operations, Studio Concierge pairs the customer with an UpKeep Forward Deployed Engineer who partners directly with the team to build sophisticated apps tailored to their specific workflows. Concierge unlocks custom data types, more complex apps, and the ability to replace standalone tools.

“For decades, maintenance teams have been told to adapt their workflows to fit the software. Studio flips that,” said Nachiket Shiralkar, UpKeep CTO. “We’re putting the power of AI directly in the hands of the people who know their operations best, the technicians, reliability engineers, and plant managers who live this work every day.”

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30+ Apps Live

Studio launches with dozens of apps built for real maintenance workflows, including:

  • Asset Replacement Prioritization: Identifies which assets should be repaired or replaced based on total maintenance cost history
  • Safety Hazard Tracker: Helps teams identify, monitor, and escalate safety hazards before they become serious incidents
  • Inspection Failure Follow-Up Manager: Monitors failed and flagged inspection checklist items across all work orders
  • Impact Dashboard: Role-based KPI dashboard that calculates backlog, completion rates, and other metrics from work order data
  • IFTA Compliance Reporter: Tracks mileage, fuel usage, and MPG to prepare IFTA compliance reports for fleet operations

Partner Program Opens

Alongside the platform launch, UpKeep is opening the Studio Partner Program to software vendors, system integrators, and consultants who want to build and distribute apps to UpKeep’s user base of over 400,000 maintenance and reliability professionals across more than 60 countries.

Partners can build and list apps on the Studio Marketplace, with access to the App Builder, full UpKeep API, and marketplace distribution. UpKeep handles hosting, security, and delivery.

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Particular Audience just smashed open the blackbox of AI Search

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Particular Audience just smashed open the blackbox of AI Search

Building on the rapid success of Adaptive Transformer Search (ATS), which virtually eliminated zero-result searches, Particular Audience now enables retailers to A/B test the AI models that determine relevance, margin, and retail media yield.

Particular Audience announced the launch of Search Model A/B Testing, a new capability that allows retailers to directly compare and govern the AI models driving on-site search and sponsored results.

This launch builds on the success of Adaptive Transformer Search (ATS), first introduced in 2023 to solve the $300bn product discovery problem. While the industry average for zero-result searches remains close to 20%, ATS clients consistently operate below 0.5%, proving that modern AI can reliably understand long-tail and conversational intent.

1% gains in relevance can mean hundreds of thousands of dollars in recovered revenue, with AI’s rapid evolution, the threat facing retailers is standing still.

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From Finding Keywords to Capturing Intent

The majority of search technology in 2026 remains keyword-first. Even platforms claiming to use AI often rely on vectors only for early recall, before reverting to rules-based ranking. This works for simple queries, but breaks down when intent is nuanced, seasonal, or contextual.

True relevance—understanding what a customer means and selecting the right product in that moment—requires a different approach.

ATS uses a single relevance model to evaluate intent, product suitability, and commercial context (for a retailer’s KPIs) together. Search Model A/B Testing extends this foundation by unlocking componentry and allowing retailers to test different relevance strategies directly, rather than accepting a vendor’s default behavior.

For the first time the debate at a retailer shifts from “which search vendor is the best”, to “which model is best for us right now, and how might we constantly prove it?”.

At the same time, most multi-brand retail platforms still operate two separate systems: one for organic search and another for sponsored products. These systems are typically stitched together late in the process using rules or rank overrides. That approach may blend results visually, but it does not unify relevance and put the customer experience first.

Why A/B Test Search Models?

Because relevance is not static.

A retailer may want:

  • Faster models for high-traffic promotional events

  • Margin-weighted models during peak trading periods

  • Brand-safe models for premium categories

  • Multilingual models for cross-border expansion

Each of these goals involves trade-offs between speed, recall, margin, and localization. Search Model A/B Testing makes those trade-offs measurable and selectable.

Retailers can now test different model architectures side-by-side and choose the one that best aligns with their commercial strategy—using clear metrics such as conversion rate, average order value, margin contribution, and zero-result rate.

Particular Audience’s latest release allows a retailer to configure models based on unique sentence embedding structures, distinct foundational LLMs, and select reinforcement learning data—both genuine and synthetic—to tune their models. Expert customer support is 24/7 and takes the technical sting out of the tail making model manipulation just a request away.

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Implications for Retail Media Networks

For Retail Media Networks, this shift only applies to the leading networks that have evolved from legacy keyword targeting approaches.

ATS turns previously unanswerable, long-tail queries into valid result pages, creating new monetizable inventory. Model-level testing then allows retailers to optimize how sponsored products are surfaced within true relevance—not as interruptions, but as contextually appropriate outcomes. Particular Audience’s Search Model A/B Testing allows yield optimization for Retail Media Networks for the very first time.

This moves retail media from placement optimization (keyword bidding) to intent-level optimization (automating high-yield targeting), improving both advertiser performance and network yield.

ATS unlocks the entire grid representing a force multiplier on sponsored search revenue.

From Black Box to Glass Box

Most vendors offer a single, opaque algorithm that decides what is relevant. Particular Audience exposes relevance as a governed decisioning layer.

“AI driven discovery is now table stakes,” said James Taylor, Founder & CEO at Particular Audience. “What matters is how relevance behaves under different business constraints, and how retailers can ensure their trust in their search model(s) is constantly positively reinforced. ATS ensures customers always find something. Model A/B Testing ensures retailers choose what kind of relevance best serves their strategy.”

Particular Audience is a retail AI company helping retailers and retail media networks compete through superior discovery, relevance, and decisioning. Its flagship product, Adaptive Transformer Search (ATS), has set a new standard for handling conversational and long-tail commerce queries, virtually eliminating zero-result searches. PA’s platform unifies search, merchandising, and retail media within a single relevance framework—giving retailers control, transparency, and measurable outcomes.

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Orange 142 Launches Ignition+, an Integrated, AI-Enabled Programmatic Media Solution Focused on Transparency and Efficiency

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Orange 142 Launches Ignition+, an Integrated, AI-Enabled Programmatic Media Solution Focused on Transparency and Efficiency

Ignition+ partners with brands to simplify complex media buying, and bring greater clarity and control to enterprise media investment

Orange 142, LLC (“Orange 142”), a division of Direct Digital Holdings, announced the launch of Ignition+, a unified, AI-powered programmatic platform that maximizes investments, improves transparency, and boosts performance. Purpose-built for the enterprise, Ignition+ is available to Fortune 1,000 brands and large independent agencies managing high-volume, complex media investments.

As digital advertising grows increasingly opaque, Ignition+ centralizes the buying process through an end-to-end technology stack, integrating activation, supply access, AI-driven optimization, and measurement within a single coordinated platform. The goal: enable brands to buy media, not markups.

“Ignition+ helps marketers reclaim their media margin and see exactly where their dollars are going,” said Maria Lowrey, President of Orange 142. “By consolidating the technology stack, we are eliminating waste and ensuring more budget goes toward working media.”

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A Unified Approach to Programmatic Media

Ignition+ provides a single, integrated path to media buying, allowing marketers to bypass the fragmented “adtech waterfall.” By combining buy-side and sell-side capabilities, brands gain smarter buying and direct access to premium inventory through a single integration point.

Enterprise advertisers often lose millions to non-working media and hidden fees. Ignition+ delivers a more efficient operating model with transparency into gross media CPMs, data, and reporting. Following successful beta testing in late 2025, the platform has already proven its ability to improve cost efficiency and drive higher performance for early adopters.

Maximizing Efficiency and Reducing Costs
Ignition+ is supported by senior programmatic experts with deep experience across both the buy and sell sides of the ecosystem. Managed services are delivered through a transparent, flat fee negotiated upfront, covering campaign management with no hidden platform fees or layered markups.

“Enterprise and Fortune 1,000 brands are often forced to choose between transparency and scale,” said Lowrey. “Ignition+ is designed to remove that tradeoff by aligning performance with more efficient and accountable spending.”

In addition to its integrated technology, Ignition+ provides access to a scalable team of specialists. Brands can engage this support on demand — either as an extension of their in-house teams or through a fully outsourced model — allowing them to maintain operational flexibility without the fixed cost of year-round headcount.

Marketing Technology News: Programmatic Ad Platforms With Unique AdTech Features

AI-Driven Optimization
AI is foundational to Ignition+, using machine learning models to analyze billions of daily bid requests. Key AI capabilities include:

  • Inventory Quality Scoring: Evaluates viewability, fraud risk, and engagement signals in real-time.
  • Predictive Clearing Price Optimization: Analyzes auction dynamics to prevent overbidding.
  • Closed-Loop Audience Learning: Continuously refines targeting precision by measuring performance across both the supply and demand sides.

This integrated sell-side intelligence powers smarter budget allocation and continuous performance improvement throughout the campaign lifecycle.

Ignition+ is Orange 142’s first fully integrated, enterprise-focused programmatic solution — purpose-built for advertisers and agencies managing large, complex budgets that require unified infrastructure and greater economic clarity at scale.

Orange 142’s performance and innovation have been recognized across the industry, including consecutive placements on the Deloitte Technology Fast 500 in 2023 and 2024, EY Entrepreneur Of The Year honors for its co-founders, and multiple awards from The Sammys, MARCOM, and AVA Digital Awards.

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Nasuni Acquires Resilio to Transform End-User File Access and Data Orchestration for Distributed Enterprise Teams

By
PRNewswire
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0
Nasuni Acquires Resilio to Transform End-User File Access and Data Orchestration for Distributed Enterprise Teams

High-Performance File Synchronization and Edge Acceleration Strengthen Nasuni’s Leading File Data Platform

Nasuni Corporation, a leading unstructured data management company, announced it has acquired Resilio, Inc, a pioneer in high-performance file synchronization and edge acceleration technology.

The acquisition strengthens Nasuni’s ability to help enterprises improve end-user file access by removing friction from how distributed teams access and collaborate on shared content. By combining Nasuni’s cloud-native file services with Resilio’s synchronization and caching technology, the unified platform will offer high-speed access to shared files across offices, remote sites, and hybrid work environments without relying on VPN-based access, disconnected point solutions, or costly hardware constraints.

The acquisition supports Nasuni’s strategy to help improve team productivity by making mission-critical global content accessible wherever work happens, while enabling IT teams to maintain centralized control, security, and governance as environments scale. In addition, the acquisition opens up new opportunities focused on high-speed data transfer and orchestration, including support for remote locations with limited bandwidth.

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“We’re excited to welcome the Resilio team to Nasuni,” said Sam King, Chief Executive Officer at Nasuni. “Our customers already rely on Nasuni to manage, protect, and activate their enterprise file data on a global scale. With Resilio, we’re extending our platform to help improve enterprise productivity while continuing to simplify operations and protect IT environments.”

Resilio is known for its speed, resiliency, and flexibility to deliver high-performance file access even in bandwidth-constrained or remote environments. Its integration into the Nasuni File Data Platform is designed to reduce dependence on VPNs and standalone synchronization tools, while expanding support for a broader range of enterprise workloads.

“We’re proud of what the Resilio team has built, and joining Nasuni represents an exciting next step for our employees and customers,” said Eric Klinker, Chief Executive Officer at Resilio. “Together, we expect to help organizations collaborate more effectively on mission-critical content, regardless of location.”

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“Resilio complements our strategy for the Nasuni File Data Platform, further strengthening our leadership in high-speed data access, distribution, and intelligent caching at the edge,” said Nick Burling, Chief Product Officer at Nasuni. “By accelerating how distributed data is accessed and made available across environments, we’re helping customers more efficiently power AI and analytics initiatives — ensuring teams can securely leverage the right data, in the right place, at the right time to drive better insights and outcomes.”

With the acquisition complete, Nasuni and Resilio are focused on customer success while beginning a phased integration of teams, technology, and operations. Existing customers and partners can expect to continue to receive the same level of service and support.

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Launch Labs Acquired by Banyan Software to Accelerate Long-Term Growth

By
Globe Newswire
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0
Launch Labs Acquired by Banyan Software to Accelerate Long-Term Growth

Launch Labs Debuts on 2025 Inc. 5000 List of Fastest-Growing Private Companies in America with Over 600% Growth in Three Years

High-growth identity and data solutions provider serving agencies and automotive enterprises enters next phase with Banyan Software

Launch Labs, a high-growth marketing technology and data solutions provider specializing in identity resolution, audience activation, and marketing attribution, announced its acquisition by Banyan Software, a leading acquirer and permanent home for successful software businesses.

The acquisition marks a significant milestone for Launch Labs, which has experienced rapid expansion since its founding in 2020, including 614% three-year revenue growth and recognition on the 2025 Inc. 5000 list, where it ranked in the top 14% nationally and #2 in the Durham–Chapel Hill region.

Banyan Software, founded in 2016, follows a buy-and-hold-for-life philosophy, acquiring and supporting mission-critical software businesses with dominant positions in niche verticals. Launch Labs will join Banyan’s growing portfolio of vertical SaaS companies and continue operating independently under its existing leadership team.

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Partnering for the Next Phase of Growth

“From day one, we have focused on building solutions that deliver measurable impact, helping organizations activate and measure growth with confidence,” said Garrett Roach, Founder and CEO of Launch Labs. “Partnering with Banyan gives us the long-term stability, strategic resources and capital support to accelerate product innovation and expand our impact while staying true to our mission and culture.”

Launch Labs develops first party data solutions that help digital marketing agencies, media companies, and automotive enterprises understand their audiences, activate more relevant engagement, and measure marketing performance with confidence. By combining advanced identity resolution, actionable data intelligence, audience activation, and marketing attribution, the company has rapidly expanded and established itself as a trusted partner for measurable, performance-driven growth.

“Launch Labs has built a platform that helps organizations translate complex audience data into clear, measurable action,” said Tristan Jordan, Operating Partner at Banyan Software. “Garrett and his team have built a company with the technical foundation and ambition to shape that future, and we’re proud to partner with them for the long term as they expand the ways they enable customers to identify high-intent audiences, activate smarter engagement, and measure performance with precision.”

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Advancing Vertical Focus and Innovation

Launch Labs will continue to operate from its headquarters in Chapel Hill, North Carolina, with its existing leadership team remaining in place to ensure continuity for employees, partners, and customers.

The transaction reinforces Banyan’s continued expansion into high-performing vertical software businesses and strengthens Launch Labs’ position as a trusted identity and data solutions partner to agencies, media companies, and automotive enterprises. With a strong presence in the automotive sector, Launch Labs equips agencies and enterprise partners with the identity and data intelligence needed to activate audiences more effectively and measure performance with confidence.

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