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Yext Expands Agentic Capabilities to Grow AI Visibility for Enterprise Brands and Small Businesses

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Yext adds brand-level AI visibility and AEO optimization to Scout and launches a new product purpose-built for SMBs

Yext announced that it has expanded its agentic marketing platform to optimize more sources that AI cites and also launched an early version of a new SMB product: Corvo AI is a proactive agent purpose-built for small business owners. The announcements accompany Yext’s results for its second quarter of fiscal 2027, issued today, and will also be featured at Envision, its customer conference on September 30, 2026.

“The surfaces where brands need to be discoverable keep multiplying, and the marketing landscape has never been more competitive, from the largest enterprises to the smallest local businesses,” said Michael Walrath, chairman and CEO of Yext.

Many businesses are still observing the problem of AI visibility without a proven path to improve their visibility across these new AI answer surfaces. According to a Corporate Ink survey, 88% of CMOs and VP-level marketers are being asked by leadership or their board about AI visibility. Yet, only 34% of all marketers surveyed say they have a defined AI visibility strategy.

Scout is Yext’s comprehensive answer to this problem for enterprises. Scout has proven to help multi-location brands increase AI visibility at the local-level by increasing citations by 186% for one hearing care provider. Now, Yext is expanding to offer brand and location-level AI visibility optimization across more sources that AI cites to capture intent at critical times in the consideration process. In early use, the new capabilities have been shown to double inbound leads for a programmatic advertising platform. Yext used its own product to grow its AI visibility by 147% and win share of voice against two leading competitors in only two weeks. Yext is currently piloting it with a small number of enterprise customers ahead of broader availability on September 30.

Yext is also continuing to advance Action Center, which reached general availability for all customers on August 5. Action Center allows brands to manage and govern all Yext agents in one place. It now triggers and completes agentic actions surfaced by Scout across listings, reviews, social, and the Yext Knowledge Graph. New social actions include localizing brand posts and turning 5-star reviews into social content.

Corvo AI is Yext’s new small business agent harness, built for business owners who have limited time to manage their marketing and are always on the move. Corvo AI proactively texts business owners specific recommendations for improving local marketing, so they can outrank the competition nearby. Corvo AI utilizes Yext’s competitive intelligence and execution agents to optimize via a mobile-first, natural-language interface. Corvo AI is available for free today at askcorvo.com.

“Every brand is heading toward the same future: agents executing marketing at a scale no team could reach on its own,” said Michael Walrath, chairman and CEO of Yext. “That means treating complexity as an asset instead of a liability. The brands that win won’t be the ones working from the simplest software. They’ll be the ones who have a multiplayer agent harness where customers, partners, internal teams, and a growing roster of agents all work together from a shared context. As the surfaces they can act on keep expanding, so does the impact of every action. We look forward to showcasing our rapidly expanding capabilities at upcoming customer events.”

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Foxit PDF Editor 2026.2 Delivers Secure Document Intelligence With Foxit Workspace, Local AI, and Bring-Your-Own-Model Support

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  • Foxit PDF Editor 2026.2 introduces Foxit Workspace, Local AI, and bring-your-own-model support, building on the existing feature set and extending the security and intelligence capabilities of the Foxit PDF Editor package.

  • New Foxit Workspace enables people to bring documents, links, and notes together in one AI knowledge hub, generate answers, and turn insights into finished reports, presentations, and diagrams.

  • Industry-first Local AI keeps sensitive documents on the device, lowering AI processing costs and improving security of everyday AI work.

Foxit, a global PDF and document software company, launched Foxit PDF Editor 2026.2, the latest version of its flagship editor, which brings more than two decades of PDF document intelligence into a new platform that transforms how people understand, create and share information. The release introduces Foxit Workspace, an AI-powered knowledge hub for multi-document projects, and Local AI, an industry-first capability that processes supported document tasks entirely on the device.

With PDF Editor 2026.2, Foxit introduces Foxit Workspace, a platform where people generate insights across all their documents and turn them into new content. Together with Local AI, bring-your-own-model support, and secure on-device processing, PDF Editor 2026.2 delivers document insights, rich content generation, and multi-model flexibility in one package. Foxit PDF Editor with the Foxit AI subscription gives knowledge workers a lower-cost, more secure path to scalable document intelligence.

“We’re excited to introduce Foxit Workspace in our 2026.2 release. This release is where you can do more, uniting the productivity of PDF Editor, the security of Local AI, and the power of content creation in Workspace,” said Evan Reiss, SVP Marketing, Foxit International. “We’re redesigning the future of PDF and document productivity, making it easier to be more secure and do more with Foxit.”

Foxit Workspace: Do More with Documents

The 2026.2 release extends the Foxit document ecosystem with Workspace, Foxit’s new document intelligence platform that combines AI-powered document insights, content generation and workflow integration to improve productivity. Workspace brings collections of documents together to produce insights, files, and new content.

Bring PDFs, spreadsheets, presentations, links, and notes together in one place, get AI answers quickly and apply a new level of document intelligence to everyday work. Workspace retains project context across sessions and converts insights into editable outputs, including reports, presentations, diagrams, and webpages.

Foxit Workspace enables people to:

  • Generate cross-document insights. Workspace analyzes project files as a set, not one document at a time.
  • Connect the tools teams already use. Foxit PDF Editor is the only PDF editor operating as a Model Context Protocol (MCP) host. Workspace connects with tools including Notion, Atlassian, Fireflies, HubSpot, and Figma, so AI acts where work already happens.
  • Choose the right model for the job. Supported models include GPT and Gemini, so teams are not tied to a single provider.
  • Automate document tasks with Skills. Preset and custom Skills complete recurring document tasks in one click.
  • Get trusted answers. Foxit’s own parsing engine preserves multi-layout document structure and tables to better understand the content and improve AI outputs for better document intelligence.

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Omilia Appoints Ted Jordan as Vice President, US Customer Support and Experience

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Omilia Appoints Ted Jordan as Vice President, US Customer Support and Experience

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Five9 veteran, who scaled global support operations to industry-leading NPS, joins Omilia to scale its self-learning CX platform’s proven results across its growing US enterprise customer base.

Omilia, a global leader in Self-Learning Agentic CX, announced the appointment of Ted Jordan as Vice President of US Customer Support and Experience, to oversee support strategy, delivery, project management, and customer success management.

With a mandate to bring analytics-driven, predictive and outcome based practices to Omilia’s fastest-growing market, he will be responsible for delivering the success metrics that enterprises demand and Omilia’s platform can provide: successfully handling real call volumes that scale, under the compliance scrutiny that regulated companies demand, and with the total experience their customers expect. He joins as Omilia’s US enterprise customer base grows in scale and complexity, across banking, insurance, healthcare, utilities and more.

Jordan brings more than two decades of experience in customer support and service strategy. Most recently, he served as Senior Vice President of Customer Support at Five9, where he led initiatives that modernized global support operations, expanded self-service, and used predictive analytics to deliver faster, more reliable outcomes, achieving industry-leading Net Promoter Scores. He previously spent time as Vice President of Customer Service and as Senior Director of Technical Account Management at Five9. Earlier in his career, he spent more than 20 years at Access Worldwide, rising from Vice President of IT to Chief Operating Officer.

“What drew me to Omilia is the proof already exists, customers can point to real, measurable outcomes at scale, not promises about what the platform might do,” says Ted Jordan. “That’s rare in this market, and it’s not an accident, it’s the result of a platform built to keep learning and improving instead of plateauing after go-live. I’ve always been obsessed with what happens once AI is actually switched on inside a real enterprise, and that’s exactly the work ahead of me here: taking practical AI and making it perform inside complex, regulated environments, at scale, so every customer feels it. That’s my focus as we grow in the US.”

“Our US customers didn’t choose Omilia because of a demo, they chose us because the platform delivers results that hold up under scrutiny at some of the most regulated institutions in the world,” says Nick Delis, CRO at Omilia. “Ted’s track record is about keeping that promise after the sale: resilient performance and real numbers, sustained at scale. That’s exactly the discipline our customers need as they scale with us, and we’re glad to have him leading it.”

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Skipio Acquires RapidTalk to Expand AI-Powered Customer Engagement

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Skipio Acquires RapidTalk to Expand AI-Powered Customer Engagement

Skipio LLC is pleased to announce the acquisition of RapidTalk’s industry-leading AI-powered customer communication technology, founded by Carl Case. The acquisition brings RapidTalk’s communication technology to Skipio, further expanding Skipio’s technology platform to help businesses engage with customers faster, capture more leads, and turn missed calls, texts, and webchats into booked revenue.

Founded by Carl Case, RapidTalk was built to solve a challenge shared by businesses of every size: making sure each customer enquiry gets a fast, personalised response. The platform uses conversational AI to answer questions, qualify leads, and move customers toward the next step across calls, texts, and web chat.

For Skipio, folding in RapidTalk’s technology strengthens Skipio’s ability to support businesses across the full customer journey, from first enquiry through ongoing engagement. For Carl Case, the deal marks a milestone in RapidTalk’s growth from a single solution into a scalable communication platform.

RapidTalk is an AI-powered customer communication platform that enables businesses to engage customers through phone calls, text messages, and web chat using intelligent virtual assistants tailored to each organisation’s unique workflows. Founded by Carl Case, the platform helps businesses capture leads, automate customer interactions, schedule appointments, and deliver responsive, personalised experiences across more than 100 languages. With integrations across thousands of business applications and enterprise-grade security and compliance standards, RapidTalk helps organisations streamline customer communications and improve operational efficiency.

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BizzContacts Launches Free Disposable Email Checker to Help Businesses Improve Lead Quality and Data Hygiene

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BizzContacts Launches Free Disposable Email Checker to Help Businesses Improve Lead Quality and Data Hygiene

BizzContacts launches a free Disposable Email Checker to help businesses identify temporary email addresses and improve lead and contact data quality.

BizzContacts LLC, a B2B Contact Data Provider and Marketing & Sales Intelligence company, today announced the launch of its Free Disposable Email Checker, a new online tool designed to help businesses identify temporary, disposable, and throwaway email addresses before they impact lead quality, customer acquisition, and contact data.

Disposable email addresses can create challenges for businesses that depend on accurate contact information. Temporary addresses may be used for short-term signups, gated content downloads, free trials, or website forms, making it difficult for sales and marketing teams to maintain reliable prospect and customer data.

The new BizzContacts Disposable Email Checker provides businesses with a simple way to identify whether an email address is associated with a known disposable email service. Users can enter an email address into the free tool and receive a result indicating whether the address is Disposable, Not Disposable, or Unable to Determine.

Helping Businesses Identify Temporary Email Addresses

For sales and marketing teams, disposable email detection can be an important part of lead-quality assessment and data hygiene. Identifying temporary addresses can help businesses better evaluate inbound leads, reduce low-quality registrations, and make more informed decisions about how contacts should be routed and followed up.

The tool can be useful across a range of business applications, including:

Lead generation: Identify disposable domains among newly generated leads.
Marketing: Evaluate the quality of form submissions and campaign responses.
Sales: Sanity-check inbound contact information before investing outreach resources.
SaaS companies: Identify temporary addresses used during free trials and registrations.
Website owners: Investigate suspicious or repeated form submissions.
Data teams: Add disposable-domain detection to existing contact-quality processes.
Simple Domain-Based Detection

The BizzContacts Disposable Email Checker is designed to keep the checking process straightforward. When an email address is submitted, the system validates its format, extracts the domain, and checks that domain against disposable email intelligence. The tool then provides the appropriate result based on the available information.

Importantly, the tool is designed specifically for disposable-email detection. A “Not Disposable” result does not mean that a mailbox exists, is monitored, or is guaranteed to be deliverable. This distinction allows businesses to use disposable detection as one part of a broader email verification and data-quality process.

Free Tool for Businesses

The Disposable Email Checker is available free of charge and does not require users to create an account to perform a check. BizzContacts has designed the tool to provide a practical resource for marketers, sales professionals, SaaS businesses, lead-generation teams, and website operators looking to improve the quality of incoming contact data.

“Data quality starts with understanding the information entering your systems,” said a spokesperson for BizzContacts. “Our Disposable Email Checker gives businesses a simple way to identify temporary email domains and make better decisions about lead and contact quality.”

BizzContacts also emphasizes responsible data handling. According to the tool’s published privacy information, submitted addresses are not publicly displayed, shared with other users, or added to a marketing list. The tool uses the email domain for the disposable-service lookup and does not claim to verify mailbox existence or deliverability.

Access the BizzContacts Disposable Email Checker

The BizzContacts Free Disposable Email Checker is now available online for businesses and professionals looking for a simple way to identify disposable email addresses and strengthen their contact-data quality processes.

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Xelta.ai Expands as All-in-One AI Platform for Image, Video, Voice and Content Creation

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Xelta.ai Expands as All-in-One AI Platform for Image, Video, Voice and Content Creation

Xelta Unveils AI Creative Operating System for Long-Form Filmmaking - From  One Prompt to Up to 60 Minutes

Xelta.ai is expanding its AI creative platform with tools for content creation, storytelling, ads, and social media, bringing creative tasks into one place.

Generative AI is changing the game for digital content creation. From images and video to advertising and social media, generative AI is impacting more and different creative processes.

Xelta.ai brings image and video creation, editing, storytelling, advertising, and social media publishing together in one AI creative platform.”

— Vishal Arya, Chairman & Group CEO, XELTA LLC

However, creating a piece of content rarely ends with the first image or video. The creator may need to edit the media, add a voice-over, turn it into an ad, and then prep and publish different versions of the content on social media. For businesses and agencies, that often means working in multiple tools before a campaign even launches.

Xelta has emerged as the Best AI Video Generator of 2026 and one of the Best AI Image Generator of 2026, unifies these creative processes in its AI creative platform, which includes image and video creation and editing, storytelling, ad production, and social media publishing. The platform aims to streamline visual content production for creators, brands, agencies, marketers, and businesses.

Based in Palo Alto, California, Xelta.ai offers more than 100 AI models and includes products such as AI Films, AI Studio, AI Ads, and SocialVerse.

From First Idea to Final Post, Xelta.ai Brings It Together

Creating an image or video is often only the beginning of the process. A marketing team may need to edit the video, add a voiceover, create an ad, generate social media posts, and publish the content. This is where Xelta.ai fits in.

Xelta.ai promises to unify the workflow so that users can go from concept to finished product in one place.

The platform includes tools for:

AI Films: Create films, microdramas, trailers, microcourses and other video content.
AI Studio: Edit videos, create AI avatars, remove video backgrounds and use other video tools.
AI Ads: Create ad content with tools such as Ad Studio, UGC Ads and URL to Ads.
SocialVerse: Create reels and manage content for social media platforms.
Creative Tools: Work with images, backgrounds, faces, websites and other digital assets.

By connecting these functions, Xelta.ai is designed to reduce the need to switch between multiple platforms during a single project.

Built for Creators, Brands and Businesses

Xelta.ai is not only focused on individual creators. The platform is also aimed at marketing teams, agencies, brands, and businesses.

It offers generative tools for video, reels, graphics, voices, AI avatars, short stories, and social content. Meanwhile, marketing teams can take advantage of the AI-powered graphic design tools for ads, products, social content creation, and other tasks. For businesses, Xelta can also generate product videos, promotional content, and more.

A Stronger Focus on AI Storytelling

Xelta.ai is also expanding into AI-based storytelling.

In the company’s lineup, there are apps for creating Microdrama, Anime Microdrama, Microcourse, and Comic Flow. These tools are designed for different types of digital stories and short-form content.

The platform also includes movie trailer and cinematic video tools.

Making AI Ads Easier to Create

Advertising is another essential aspect of the Xelta.ai platform.

Developing an ad campaign involves multiple steps: a company has to research a product, write a copy for the ad, create images, edit a video, and prepare various versions for different social networks.

Xelta.ai has introduced tools for each of the enumerated steps in its AI Ads section. Its tools include:

• Ad Studio for creating ad content
• URL to Ads for turning product links into ad creatives
• UGC Ads for user-generated-content style videos
• Instant Ad for quick ad creation
• Flash Ad and Prime Ad for different ad formats

The goal is to give brands and marketing teams a faster way to develop advertising creatives.

Connecting AI Content Creation With Social Media

Creating content is only one part of digital marketing. Once content is ready, it also needs to reach the intended audience.

That’s why Xelta.ai’s SocialVerse brings together AI content creation and social media publishing, allowing businesses to create their reels, prepare their assets for the required platforms (such as Instagram, LinkedIn, Facebook, and YouTube), and publish them.

The platform also supports social media scheduling and publishing tools. This gives users a way to manage more of the content process in one place.

Bringing Many AI Tools Into One Platform

The number of AI tools available for creative work has grown rapidly. The sheer number and variety are overwhelming. There are image tools, video tools, audio tools, graphic design tools, advertising tools, social media tools, and much more.

While this gives users more options, it can also create a fragmented workflow.

Xelta.ai is taking on this challenge by introducing an aggregated solution, which brings together all the creative production tools required into one unified interface.

The platform covers areas such as:

• AI image generation
• AI video generation
• AI image and video editing
• AI audio
• AI design
• AI marketing
• AI advertising
• AI e-commerce
• AI social media
• AI animation

The company says more than 1 million creations have already been made on its platform and that users can access more than 100 AI models through its creative tools.

Who Can Use Xelta.ai?

Xelta.ai is aimed at a wide group of users.

Creators can use it for reels, images, stories, voiceovers, and avatars. Filmmakers can use its video and storytelling workflows.

It can be used by brands to design product images, advertisements, and promotional videos. Moreover, agencies can utilize it to prepare assets for multiple clients.

Besides these applications, small businesses can use it for fundamental marketing functions, such as social media graphic design, video production for ads, and website creation, etc.

Xelta.ai’s 2030 Business Ambition

Xelta.ai is building its platform with a long-term goal. The company aims to become a billion-dollar company by 2030.

Its growth strategy is multifaceted, as the company looks to capitalize on the demand for AI-generated content, digital marketing and advertising, social media, AI-powered narrative and creative production, and much more.

Rather than simply adding more AI models, the company is focused on connecting different tools into broader creative workflows.

Through this, the company enables users to begin with an idea and take it through various phases.

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Websites USA Expands Full-Service Web Design and Website Maintenance Across the U.S.

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Websites USA Expands Full-Service Web Design and Website Maintenance Across the U.S.

Stylized graphic of an eagle's head formed by a blue semicircle with white stars and a red semicircle with horizontal stripes, resembling the American flag. - Websites USA - Professional Website Design & Maintenance

Websites USA, a Boston-based web design and digital marketing company, is pleased to announce the continued expansion of its website design, WordPress development, search engine optimization and ongoing maintenance services for businesses across the United States.

The expansion reflects a practical shift in how companies manage their online presence. A website may go live on a specific date, but the work behind it rarely ends there. Technology changes, customer expectations evolve and new business priorities emerge. Without regular attention, even a well-designed site can encounter outdated software, security vulnerabilities, slow performance or content that no longer represents the organization accurately.

Websites USA addresses this challenge by supporting clients throughout the website lifecycle. Its team works across planning, UX/UI design, development, testing and launch, then remains available for maintenance, technical support, SEO and future site improvements. The model is intended to give businesses continued access to website expertise without requiring them to assemble and manage a full internal web department.

“A business website isn’t really finished when it launches. It needs to keep improving as the business, its customers and the technology around it change,” says Nat Miletic, Co-Founder of Websites USA. “Our goal at Websites USA is to give companies one team that can build the site, support it and continue making it more useful over time.”

The company’s full-service structure brings several areas of digital work into one ongoing relationship. Rather than coordinating separately with a designer, developer, SEO provider and maintenance contractor, clients can work with a team familiar with the website’s history, technical foundation and business objectives. This continuity can make it easier to address immediate issues while planning longer-term improvements.

Through its website maintenance services, Websites USA provides 24/7 monitoring, monthly WordPress plugin updates, post-update testing and validation, website security checks, secure cloud backups, caching support and email-based technical assistance. Development and enhancement time is also included according to the selected service plan.

The approach recognizes that maintenance involves more than responding when something breaks. Regular monitoring and testing can help identify problems earlier, while ongoing development allows a website to change alongside the business. A company may need to introduce a new service, revise its messaging, improve a customer journey or adapt the site to support a different stage of growth. Having an established team in place can reduce the time required to begin that work.

Additionally, Websites USA also provides custom web design, responsive WordPress development, SEO and digital branding. Its process moves from requirements gathering and planning through design, development, testing, launch and continued support. The company’s website emphasizes that sites can be refined after launch as the client’s business changes.

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Ecer.com Reimagines Global B2B Trade with a Mobile-First Digital Ecosystem

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Ecer.com Reimagines Global B2B Trade with a Mobile-First Digital Ecosystem

ecer.com

Driven by the rapid advancement of mobile internet and artificial intelligence, global trade is rapidly shifting from traditional offline communications and desktop operations toward a more agile, high-efficiency mobile-first model. Breaking through constraints of location, time zone differences, and communication lag has become a vital priority for cross-border merchants and international buyers aiming to elevate global transaction speeds.
As a digital trade platform with 17 years of deep cultivation in B2B cross-border commerce, Ecer.com is spearheading the mobile transformation of foreign trade workflows. By seamlessly integrating mobile technology, AI-powered intelligent services, and digital interactive tools, ECER enables enterprises to connect with global buyers anytime, anywhere—significantly boosting client acquisition and transaction efficiency.

Mobile Empowerment: Breaking Time and Space Barriers in Foreign Trade
In traditional cross-border trade, businesses frequently grapple with time zone friction, delayed client responses, and complex procurement procedures. Ecer.com’s mobile capabilities migrate key steps—such as product showcases, client communications, inquiry management, and order tracking—directly to mobile devices, empowering exporters to conduct global trade 24/7.
Today, overseas buyers can effortlessly browse products, reach out to suppliers, and verify manufacturer credentials right from their smartphones. Simultaneously, cross-border exporters can respond to buyer inquiries instantaneously via mobile devices, seizing high-value business opportunities and making international commerce faster and more accessible than ever.

Convergence of AI and Mobile: Driving High Inquiry-to-Order Conversion
Timely communication plays a decisive role in converting B2B inquiries into completed deals. Ecer.com’s AI Customer Service System features multi-language intelligent dialogue, enabling 24/7 round-the-clock responses that seamlessly transcend language barriers and time zone gaps.
Case Study: Industrial Machinery Manufacturer
Heyi Energy Co,.ltd previously suffered from missed conversion opportunities because overnight inquiries from European and American buyers went unanswered for hours due to time differences.
After integrating ECER’s AI Customer Service, the system automatically recognizes buyer requirements, delivers precise product details, and routes high-intent lead profiles directly to sales representatives for instant morning follow-ups.
Results: Assisted by AI, the company drastically improved its inquiry response efficiency, minimized customer churn caused by time lag, and achieved significantly smoother, more profitable overseas operations.

Digital Showcases: Simplifying Remote Sourcing and Trust Building
Establishing mutual trust across borders remains one of the largest challenges in international procurement. Ecer.com addresses this with cutting-edge digital visualization technologies, including 360° Panoramic Factory Tours and VR Product Displays. Overseas buyers can intuitively inspect manufacturing capabilities and detailed product craftsmanship without traveling onsite.
 Reduced Decision Costs: Immersive VR tours eliminate buyer hesitation and accelerate supplier qualification.
 Enhanced Procurement Transparency: Remote buyers gain full visual proof of factory scale and product quality in real time.

From Mobile Tools to a Global Trade Ecosystem
Mobile adoption is more than a change in hardware—it represents a complete structural evolution in trade methodology. Centered on the dual needs of global buyers and sellers, Ecer.com has constructed an integrated mobile trade ecosystem spanning smart reception, digital showrooms, real-time messaging, and intelligent buyer-supplier matching.
As AI, big data, and mobile technologies continue to converge, cross-border trade will grow increasingly intelligent and effortless. Ecer.com remains committed to driving foreign trade digitization through continuous technological innovation, helping more Chinese enterprises connect with the world and achieve sustainable global expansion.

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SDLC Corp Selected as an Apparent Successful Offeror for Montana’s Master AI Products and Services Procurement

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SDLC Corp Selected as an Apparent Successful Offeror for Montana’s Master AI Products and Services Procurement

Full-Spectrum Software Development Company - SDLC Corp

SDLC Corp selected in both tracks of Montana’s Master AI Products and Services procurement, expanding its U.S. public-sector AI presence.

SDLC Corp, through Transform Digital LLC, has been selected as an apparent successful offeror in both Track 1 and Track 2 of the State of Montana’s Master AI Products and Services procurement, SPB-RFP-2026-0608GW. Issued by the Montana Department of Administration’s State Procurement Services Division, the selection adds a new state-government AI procurement milestone to the company’s growing U.S. public-sector portfolio.

Our selection in both tracks strengthens our commitment to delivering practical, scalable AI solutions that help government organizations modernize technology and serve communities more effectively.”

— CEO Kishan Srivastava

The dual-track selection gives the company a state-level procurement reference specifically tied to AI products and services. It expands its participation in the U.S. government technology market while adding to an existing public-sector procurement presence and complementing capabilities across AI engineering, software development, data, cloud, automation, and systems integration.

A New State-Government AI Procurement Position:
Montana’s Master AI Products and Services solicitation, identified as SPB-RFP-2026-0608GW, establishes a multi-award procurement framework for AI products and services supporting state government requirements. Issued through the Montana Department of Administration’s State Procurement Services Division, the solicitation is intended to establish access to qualified providers for AI-related needs across state operations, agencies, and workforce functions.

For Transform Digital LLC, dba SDLC Corp, the key outcome is selection as an apparent successful offeror under both Track 1 and Track 2. The dual-track designation gives the company a specific state-government procurement position connected to AI products and services and represents a new addition to its U.S. public-sector portfolio.

The significance extends beyond the designation itself: it provides another state-government procurement reference connected specifically to AI products and services, subject to completion of the applicable procurement and contracting process.

Expanding Its U.S. Public-Sector Footprint:
The Montana selection adds geographic breadth to the company’s U.S. government-market presence by establishing a new state-level reference in Montana.
For a company continuing to develop its U.S. public-sector business, the addition creates another procurement environment in which its technology capabilities can be considered for eligible government requirements. It also broadens the geographic footprint of its public-sector activities beyond existing procurement relationships.
The development is part of a wider U.S. market-building effort, adding another state-level AI procurement milestone while the company continues to develop opportunities around AI, software engineering, modernization, data, and related technology services.

Building on Existing U.S. Public-Sector Procurement Experience:
The Montana selection builds on SDLC Corp’s existing U.S. public-sector procurement participation. Transform Digital LLC, dba SDLC Corp, is also listed by the 791 Purchasing Cooperative under Contract 791202603005, AI Services and Solutions for Government.
The 791 relationship provides context for the latest development. It represents an existing procurement presence in the U.S. government market, while the Montana selection adds a new state-government procurement milestone specifically tied to AI products and services.
Together, the two relationships demonstrate the company’s continued participation in formal public-sector purchasing environments.

AI and Engineering Capabilities:
The company combines AI engineering with software development, data modernization, cloud, automation, and systems integration. Its capabilities include AI product engineering, generative AI, agentic workflows, custom software development, and related technology implementation.
This broader engineering foundation is relevant to government technology initiatives where AI requirements may intersect with software platforms, data environments, cloud infrastructure, integration, and modernization work.
The Montana procurement therefore aligns with an offering that extends beyond individual AI capabilities to the engineering and technology services surrounding their implementation.

A New Step in U.S. Public-Sector Growth:
The Montana selection adds a new state-government AI procurement position to SDLC Corp’s existing U.S. public-sector portfolio. Its selection across both tracks provides a distinct reference tied to AI products and services while complementing its broader engineering and technology capabilities.
As the company continues developing its U.S. government technology presence, the Montana milestone represents another step in expanding procurement access and pursuing eligible public-sector opportunities across the country.
Public-sector organizations evaluating AI products, engineering services, software development, or related technology capabilities can contact SDLC Corp to discuss potential requirements and applicable procurement pathways.

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HoneyBook Launches Business Phone & SMS for Independent Businesses

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HoneyBook Launches Business Phone & SMS for Independent Businesses

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HoneyBook, the client relationship platform for independent businesses, today announced the launch of HoneyBook Business Phone & SMS, a paid add-on that gives members a dedicated toll-free business number for calling and texting with clients directly through the HoneyBook app.

The new service brings calls, text messages and emails into the same client record, alongside proposals, contracts, invoices and other project files. It is designed to help independent business owners keep their personal phone numbers private while giving them and their teams a shared view of client communication.

HoneyBook tested Business Phone & SMS with 140 businesses beginning in March 2026. According to company-reported data from the beta, SMS messages had a 98% open rate and an 80% reply rate, compared with a 10% reply rate for email. HoneyBook also reported a reply time of 10 minutes for SMS, compared with 5.5 hours for email.

“Independent business owners should not have to give clients their personal number or piece together conversations across separate tools,” said Oz Alon, CEO and co-founder of HoneyBook. “Client work often moves from a text to a call, and then to a contract or payment. Business Phone & SMS keeps that history connected to the client record, enables automated response workflows, and gives every team member the context to respond. We built it to give independent businesses the communications infrastructure that larger companies have long taken for granted, without adding another system to manage.”

Members can select a toll-free business number and use it for incoming and outgoing voice calls and two-way SMS. Voice calls are automatically transcribed and summarized by AI. Text messages can be sent from a HoneyBook project on desktop or mobile. Members can use saved message templates and Smart Fields, save drafts and see whether a message has been delivered. Contracts, invoices and other HoneyBook Smart Files can also be shared by text, with the recipient receiving a link to the relevant document.

Having easy access to customer text conversations, call transcriptions and summaries makes it easier for people to manage their businesses, and it also adds context to HoneyBook’s AI, enabling it to close deals faster and with higher conversion rates.

Business Phone & SMS also works with HoneyBook Automations. Members can configure workflows to send a text after a defined event, such as the submission of a contact form. Automated messages can be used to follow up on inquiries, send contracts, remind clients about payments or confirm project dates.

When an existing HoneyBook contact sends a text, the message is routed to that contact’s most recent active project. Messages from numbers that are not already associated with a HoneyBook contact are flagged as potential new leads. The business can then create a new contact, associate the number with an existing contact or mark the message as spam.

All team members on a HoneyBook account use the same business number, creating a shared record of client communication. Incoming calls are forwarded to the account holder’s phone number on file. Outgoing calls can be initiated from a contact record or project, with HoneyBook first calling the member and then connecting the client.

HoneyBook Business Phone & SMS is currently available to HoneyBook members located in the United States and supports messaging with U.S. and Canadian phone numbers.

The add-on is available with any HoneyBook plan. Pricing starts at $8 per month for 300 SMS messages. Additional tiers include 700 messages for $15 per month and 1,000 messages for $20 per month. Both incoming and outgoing messages count toward the monthly allowance, and unused SMS credits roll over. Every tier includes a dedicated business number, unlimited calls and access for unlimited team members.

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WizCommerce Launches the AI-First CRM for Wholesalers

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WizCommerce Launches the AI-First CRM for Wholesalers

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Know every customer, manage every opportunity, take orders without leaving the CRM, and get more done with WizPilot, your built-in AI sales assistant.

WizCommerce today announced the launch of WizCRM, an AI-first CRM built specifically for wholesalers and distributors and integrated directly into the WizCommerce sales platform.

As wholesale businesses digitize more of their sales, many teams still work across disconnected systems for CRM, quoting, ordering, ecommerce and ERP.

Generic CRMs were built around a simple journey: a contact becomes an opportunity, the opportunity closes, and the sales process moves on. Wholesale works differently. The same buyer may order every month, buy for multiple locations, work with different reps and operate on account-specific pricing.

That creates a practical problem. Customer notes and deals sit in the CRM, while pricing, quotes, orders and inventory live somewhere else. Reps leave the CRM to actually sell, records fall behind, and sales leaders lose visibility.

WizCRM is designed to remove that gap.

It knows all your customers and takes their orders. In one single app.

Teams can manage accounts and contacts, track deals, log meetings and visits, assign tasks, create quotes and convert them into ERP-synced orders. Customer records can also show B2B storefront activity such as searches, product views, cart activity and orders.

“Wholesale is a relationship business, but the relationship and the transaction have been separated by software for too long,” said Div Makkar, Co-founder of WizCommerce. “A rep should not have to choose between keeping the CRM updated and serving the customer. We built WizCRM so the record gets richer as the rep sells.”

WizCRM also includes WizPilot, an AI sales assistant that can answer questions about the business and do work for the team. Reps can ask it to prepare for meetings, create follow-up tasks or identify customers due for a reorder. Sales leaders can ask which quotes are going stale or what their team worked on during the week.

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E-Commerce Sellers are Using AI to Get Ahead of the Holiday Rush, StoreClaw Data Shows

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E-Commerce Sellers are Using AI to Get Ahead of the Holiday Rush, StoreClaw Data Shows

StoreClaw data from the back-to-school season shows sellers moving earlier into product selection, creative production and advertising as they prepare for the Q4 rush.

Retail e-commerce is increasingly operating like an endless relay race: as one major shopping moment winds down, forward-thinking sellers are already sprinting toward the next. Data released by e-commerce AI growth engine StoreClaw reveals that sellers are moving away from fragmented, manual workflows as they prepare for the Q4 shopping season.

StoreClaw’s data from the first two weeks of August shows ecommerce listing and copywriting activity declining as back-to-school launches wind down, while product selection activity more than doubled, compared with the prior two weeks in late July. At the same time, content creation and advertising activity increased more than threefold compared with late July, suggesting that sellers are moving to prepare for the holiday season much earlier than in the past.

“Retailers used to treat the holidays as a sprint that starts after Halloween. That’s not how it works anymore. It’s now a year-round shopping season,” said Steven Zhou, Co-Founder of Caelith AI, the company behind StoreClaw “Our research found that ad campaign activity among sellers jumped 236% in the first two weeks of August, months before Black Friday. More retailers are locking in ad budgets and cranking out creative to get ahead now while others are coming back from the summer.”

Four Shifts in Seller Behavior Heading Into Q4

StoreClaw’s seasonal data shows four things sellers are focusing on as they gear up for the holiday peak:

1. Product Selection Is Moving Earlier

StoreClaw’s Effortless Product Selection scores potential products by analyzing customer demand, pain points, pricing gaps and competition. By checking Amazon Brand Analytics (ABA) search rank, along with marketplace signals such as review velocity, StoreClaw helps sellers spot real opportunities and entry points.

  • The Back-to-School Data: Sellers chose their SKUs first, then used SEO and GEO (Generative Engine Optimization) to capture visibility. Product selection, which helps sellers choose the best products to sell, was the fastest-growing feature during the early Back-to-School season, recording twice the user adoption growth of SEO and GEO. .
  • The Q4 Takeaway: Sellers that wait until holiday demand is already visible may be competing for inventory, search visibility and advertising attention at the same time. Earlier product selection gives merchants more time to validate products, plan keywords and prepare inventory before peak demand arrives.

2. Content Creation: Sellers Want “One-Click Visuals” Most

StoreClaw’s listing generator reads competitor reviews, especially customer complaints, to write listings that directly address buyer hesitations. It writes copy for how shoppers actually search and discover products on Amazon now, including Alexa for Shopping (formerly Rufus) and COSMO, and checks requirements and character limits automatically.  Alongside copy, it generates product images and other visual assets to help sellers launch and scale creative faster.

  • The Back-to-School Data: The increase in visual-content activity was nearly 70% larger than the increase in copy-generation activity.
  • The Q4 Takeaway: Q4 brings heavy SKU launches and crowded search pages. Using AI content creation tools allows brands to produce eye-catching, algorithm-ready product media quickly and affordably.

3. Sellers Are Consolidating More of Their Workflows

StoreClaw connects natively with dozens of major marketplaces and storefronts, including Amazon, Shopify, TikTok Shop, Genstore, eBay, WooCommerce, etc., with additional connections across social, content and community platforms. Its more than 30 pre-built AI Skills support recurring workflows, such as competitor monitoring, pricing analysis and other operational tasks. Rather than moving between multiple browser tabs and disconnected tools, more StoreClaw users are connecting their commerce channels and bringing recurring tasks into a single workflow.

  • The Back-to-School Data: Adoption of Connector feature among high-volume users grew by 4.2 percentage points during BTS. Sellers clearly want a single hub rather than constantly jumping between browser tabs. Heading into August, the number of sellers activating Amazon and Amazon Ads connections saw a marked surge, a trend observed ahead of the Prime Big Deal Days season.
  • The Q4 Takeaway: As the number of channels, campaigns and products increases during peak season, the operational load can become the bottleneck. Unifying channels into a single AI hub early gives sellers the execution speed needed to adjust prices, synchronize inventory and capture event-driven traffic seamlessly.

4. Ad Intelligence: Making Every Ad Dollar Count

StoreClaw’s “Negate the Bleeders” feature scans 30 days of ad data to find wasted budget. It automatically spots keywords spending money with zero sales and high-click terms that don’t convert, building instant negative keyword lists and adjusting bids based on real value. StoreClaw also lays out a plan for moving proven search terms into exact-match campaigns, from testing to full scale, in a cleaner workflow.

  • The Real-world Result: It’s worth noting that outside of the BTS cycle, leading home-textiles brand LuxClub utilized StoreClaw’s advertising workflows to audit its campaigns, and during its use:
  • An Advertising Cost of Sales (ACoS) reduction from 35% to 22%.
  • Over $80,000 in monthly advertising spend savings.
  • 47% quarter-over-quarter increase in total sales.
  • The Q4 Takeaway: Advertising competition typically intensifies during Q4, putting pressure on CPCs and margins. Setting up an AI-driven ad intelligence workflow now helps sellers cut wasteful spending and protect their profit margins when holiday traffic peaks.

From Insights to Action: StoreClaw’s Edge in the Q4 Race

Sellers are moving straight from the tail end of the back-to-school season into Q4 prep. This is the moment StoreClaw is built for.

As Steven noted: “Historically, enterprise retailers win Q3 and Q4 because they out-resource everyone else on speed and execution. A small seller can have a far superior product, but if they are manually updating inventory, tweaking prices product-by-product, or taking days to syndicate listings across platforms, they’re too far behind. AI-driven operation is no longer optional, for it is the key to achieving the speed required to stand out during peak surges.”

Launched in May 2026, StoreClaw combines marketplace intelligence, AI-powered workflows and multi-channel connections in one place. It tracks competitor pricing promotions, coupons, reviews and keyword changes and pulls in data from SellerSprite, Sif and Sorftime. Sellers use it to research products, create content, manage advertising and coordinate recurring tasks without switching tools. That’s how growing brands get the speed of a much bigger retailer heading into the holiday season.

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Pepper Launches Agent Atlas, an AI Agent That Runs Organic Growth Work, Not Just Reporting

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Pepper Launches Agent Atlas, an AI Agent That Runs Organic Growth Work, Not Just Reporting

The chat-first layer of Pepper’s GEO platform reasons across a brand’s AI-search, rankings and analytics data, then carries out the work it recommends.

Pepper launched Agent Atlas, the most ambitious product in the company’s eight-year history and, Pepper argues, the first marketing platform built to do the work rather than just report on it. For most chief marketing officers, 2026 has turned AI search from a curiosity into a standing item on the board agenda. Buyers now put their questions to assistants such as ChatGPT, Perplexity, Gemini, Copilot, Claude and Google AI Overviews, and many act on the answer without ever visiting a website. The place a brand is judged has moved, and most teams are being asked to win there with the same headcount they had last year.

You tell it what you want in plain language, it does the work with your team in control, and we hold ourselves to the number it moves. A tool that only reports was never going to be enough.”

— Anirudh Singla, Founder and CEO of Pepper

Pepper, the organic growth engine used by more than 250 enterprises, is positioning Agent Atlas as the product built to close that gap. For two years the category has helped brands measure how they show up in AI answers. Agent Atlas is the first layer that acts on what it finds: a marketer says what they want in plain language, and it does the work.

The hard part was never the dashboard. A brand can now see how often it is mentioned in AI answers, which sources are cited, and how it ranks against its competitive set, and Pepper built a good deal of that. But a dashboard hands over the finding and leaves the doing to the team. The insight sits on a slide, the quarter fills up, and the work slips.

Agent Atlas is the chat-first layer of Pepper’s GEO platform, and it removes that gap by doing three things a dashboard cannot.

The first is that it reasons across everything at once. Ask a real question, the kind that decides a quarter, and it draws on all of a brand’s connected data: AI-search visibility across the engines buyers use, Search Console rankings, clicks and impressions, analytics so conversions weigh into the answer, the competitive picture across the category, and the brand’s own content and pages. What to prioritise this quarter across rankings, conversions and AI visibility together, or where the biggest opportunity sits, cannot be answered from a single screen. Agent Atlas assembles them and shows its working as it goes.

The second is that it never stops at the answer. Every finding arrives with a recommendation attached, ordered by the impact Agent Atlas expects it to have, and every recommendation maps to a specific piece of work it can carry out. A marketer approves the move, and it runs. There is no separate tool to open, no brief to write, no handoff. The person who understands the brand stays in control of every approval, and the agent takes on the volume.

The third is range. Agent Atlas runs the workflows Pepper ships out of the box, such as content brief generation, content optimisation and refresh analysis, and it will build a new one when the job calls for it. A marketer describes the task the way they would explain it to a colleague, and it assembles the steps, tests them on a single input, and then runs them across a whole list. Repetitive work that used to reach only the top ten pages can now reach all two hundred.

In practice, that means a marketer can hand Agent Atlas the work they rarely have time for: diagnosing a change, such as why AI visibility dropped this month and where; finding the ten pages with the best AI-visibility upside this quarter; benchmarking the brand against its competitive set across the engines; creating content briefs for eight comparison clusters; or building a workflow that audits a page and drafts a rewrite, then running it across the list.

There is no query language and no setup ritual. GEO tracking is on from the first day, so a brand can ask about its AI-search visibility immediately, and the answers grow sharper as it connects Search Console, Analytics and its content system.

The result is a shift in what the software is accountable for. Pepper’s model is different and deliberate. Agents provide the scale and the speed. A senior growth team provides the judgment and the relationships. Pepper stays on the hook for the number that actually moves.

“This is the most ambitious product we have ever built, and I would bet the company on it,” said Anirudh Singla, Founder and CEO of Pepper. “Marketing teams have been handed a decade of dashboards and told to figure out the rest. Agent Atlas is built on the opposite idea. You tell it what you want in plain language, it does the work with your team in control, and we hold ourselves to the number it moves. A tool that only reports was never going to be enough.”

The timing is not incidental. The AI-search landscape is fragmenting faster than any single team can track by hand. Generative-AI traffic is now split across several assistants rather than running through one, and winning in one engine no longer covers the audience. A brand cited in one answer often vanishes from the next. Keeping up is no longer a periodic project but continuous work, which is exactly what an agent is suited to carry.

Pepper has long argued that organic is the channel a brand owns rather than rents. Agent Atlas is its answer to how a lean team is supposed to own it end to end when the surface keeps moving.

Agent Atlas is available now inside Pepper’s GEO platform. The company is unveiling it to marketing leaders at its Index summit in Bangalore, where teams can watch it run live on their own category.

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AI’s Best Content Role Is Strategy, Not Volume

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AI’s Best Content Role Is Strategy, Not Volume

GenAI made it possible to produce more content, faster and cheaper. But that same abundance diluted its value, creating a productivity mirage: Output climbed while impact declined.

Content volume served traditional SEO well, where more pages and more keywords reliably meant more traffic. AI-powered discovery changed the rules. LLMs reward a different set of signals, and many legacy SEO tactics are now working against brands rather than for them, a shift that’s already visible in the data.

A marketing director at a global medical device manufacturer recently told me, “Our authority rug got pulled out from underneath us.” He saw traffic to how-to videos drop 50%. Inbound leads slowed at the top of the funnel and merely trickled out the bottom. His team possessed a strong content production engine but lacked the strategy and substance needed to stay visible in a funnel redefined by AI search.

While feeding AI systems with huge amounts of generic content may feel productive, it doesn’t give answer engines a reason to consider your brand the authoritative category source. You’re teaching the algorithms that you’re a participant, not a leader. You’d get more value from using AI to sharpen and distribute your company’s unique expertise.

AI wants your proprietary data

According to Sparktoro, 68% of searches end without a click. As more people conduct research through AI tools, not showing up in those answers could mean your buyer never sees you.

The question for marketers shifts from “How do we get found?” to “What should we be known for, and how do we make ourselves the authority?”

The solution doesn’t involve chasing clicks with general topics. AI engines are already learning to identify and deprioritize content that recycles what is already on the web. To get cited, brands must lean into information that only their organization can provide.

Effective content includes:

  • A distinctive category narrative with a challenger point of view
  • Original research and/or proprietary data
  • Expert voices

AI can’t generate these ideas because they exist only within your organization. Automating writing delivers no compounding value. So where does AI belong in your content strategy?

Marketing Technology News: MarTech Interview with Mark Listes, CEO @ Pendulum Intelligence

How to use AI for value instead of volume

AI’s strengths lie in data, analysis and rule enforcement, not creating ideas. Use it to refine and amplify your human expertise.

  • Analyze market trends and identify opportunities.

Keyword analysis worked for SEO, but marketers need more robust data to compete in AI search. Google is just one source for market and buyer trends. Teams can gain insights from customer information, prospect discussions, internal expert interviews and category leader conversations across platforms like Reddit and LinkedIn.

AI reviews all of these resources to detect patterns and determine what target audiences care about. It goes even deeper to learn exactly how people are talking about their business problems. This insight identifies semantic gaps where a brand can lead the conversation and establish itself as the authority.

For example, AI analysis found that most retirement companies focus on helping people accumulate wealth, but customers are more concerned about outliving their savings. We used this information to help a retirement-focused financial services company develop its distinctive positioning strategy. The brand differentiated itself as a provider of lifelong income security in a market obsessed with net worth. Because this stance is unique to the organization, AI could not have written about it.

  • Audit existing content to uncover gaps.

AI evaluates a brand’s digital presence and determines how AI search engines perceive the company. Marketers can see why they are (or are not) mentioned or cited as a source. Then the technology creates a strategy to bridge the content and authority gaps.

For example, one pet food brand ranked well for its target product keywords, but that was only part of the story. An AI content audit showed the company dominated the “science and nutrition” discussions in AI search results but was invisible in more emotionally driven conversations around bonding, play, training and early development. It was missing a large segment of potential customers.

AI helped map the adjacent narratives, audience questions and content opportunities needed to connect the brand’s positioning with owners’ experiences. It recommended developing assets about nutrition’s role in dogs’ development and guides for building healthy routines.

  • Maximize asset reach.

AI can’t write unique content with new insights, but it can help brands disseminate their ideas. Marketing teams should spend their time and energy creating a signature story with a proprietary perspective.

Then use AI to atomize that asset into content derivatives in multiple formats and voices for different distribution channels. Outputs could include social media posts tailored to specific networks and personas, newsletter blurbs and multi-part email nurture sequences. By enforcing message architecture, AI ensures a consistent narrative appears everywhere the brand’s audience is, without the need for a human to rewrite the idea over and over.

A unified message across trusted channels gives answer engines more reason to recognize the brand as a credible source.

Don’t be fooled by the allure of AI-powered productivity. Mass-producing generic content may be cheap, but it teaches AI search engines the wrong lesson. Lean on AI to surface opportunities, then let humans define a brand’s unique differentiation and construct human-led narratives that meaningfully contribute to the category conversation.

About The Author Of This Article

Dan Baptiste is EVP of Strategy & Partnerships at Skyword, where he works with senior marketing leaders and C-suite executives to architect their brand and content strategies for maximum impact.

About Skyword

Skyword is the enterprise content marketing agency with Accelerator360™, a patented AI platform that transforms category expertise into audience preference and measurable pipeline growth.

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authID Selected to Strengthen Workforce Security for Multi-National Manufacturing Automation Company

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authID Selected to Strengthen Workforce Security for Multi-National Manufacturing Automation Company

authID Home

Global industrial automation provider deploys authID’s biometric identity verification to protect tens of thousands of employees and contractors across Microsoft Entra ID and ServiceNow platforms 

authID, a leading provider of biometric authentication solutions, announced it has been selected by a global leader in industrial automation. authID will secure the customer’s Microsoft Entra ID and ServiceNow environments to strengthen identity assurance across its service desk, as well as employee and contractor onboarding.

For this client, large numbers of contractors must be onboarded and identified while their privacy is safeguarded. In addition, intellectual property associated with manufacturing processes must be protected. Strong identity verification plays a critical role in U.S and international manufacturing because cyber attacks can cripple supply chains, damage productivity and directly impact downtime, and in extreme cases jeopardize public utilities.  The connectivity between equipment creates additional vectors for attacks as well, requiring valid human sponsorship of service accounts.

Marketing Technology News: MarTech Interview with Mark Listes, CEO @ Pendulum Intelligence

Digital intrusion, fraud and system attacks are rampant in manufacturing industries across the world. There have been many recent well-funded, state-sponsored attacks on power grid infrastructure, water processing plants and the most critical industrial control systems.

Following a proof of concept covering ServiceNow password reset, Microsoft Entra ID authentication, and biometric enrollment, the manufacturer selected authID’s Proof identity verification and Verified + PrivacyKey biometric authentication solutions.

The customer evaluated several alternatives before selecting authID. They cited authID’s fraud and deepfake detection depth, including certified presentation-attack and injection-attack detection. This included support for 16,000 document types across more than 240 countries and territories, and a privacy-protecting design that never stores a biometric template. authID’s biometric authentication delivers a false non-match rate of approximately 0.3% and a false match rate on the order of 1 in 1 billion, supporting the highest levels of assurance without sacrificing speed or user experience.

Pre-built Entra and ServiceNow integrations through authID’s marketplace application, the absence of professional-services costs during the proof of concept, and authID’s recently announced quantum-resistant architecture upgrade were also cited as differentiators.

authID’s Proof and Verified + PrivacyKey solutions verify caller identity for service desk transactions and support biometric authentication and self-service account recovery. This integrates with ServiceNow, and Entra ID as an external authentication method. Callers to the service desk are biometrically identified, for additional identity assurance as well as a superior user experience. authID also provides secure employee and contractor onboarding and pre-boarding checks, and candidate validation during hiring, as well as passwordless, device-agnostic biometric authentication that never stores a biometric template.

Marketing Technology News: How MarTech Is Enabling Autonomous Brand Engagement Across Channels?

According to IBM X-Force’s latest Threat Intelligence Index, the manufacturing vertical is the most targeted industry for the last five years, accounting for more than a quarter of all global cyber attacks.

The customer is also exploring other applications for authID’s platform, including identity-proofing invoked by high-risk signals before allowing a transaction to proceed, and support for shared-workstations, without the need for company-issued devices.

“This global manufacturing automation leader is exactly the kind of security-mature, large-scale industrial organization our platform was built to serve,” said Rhon Daguro, CEO of authID. “Deepfakes and injection attacks are increasingly used to defeat traditional identity checks at the service desk and during onboarding. By creating a biometric root of trust for every employee and contractor, we help this customer stop fraud before it starts, while preserving user privacy and eliminating the cost and risk of passwords.”

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CrowdStrike Brings CLEAR’s Verified Human Identity into the Falcon Platform

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CrowdStrike Brings CLEAR's Verified Human Identity into the Falcon Platform

CLEAR | Secure Identity at Airports, Stadiums, & More

Integration helps security teams distinguish trusted users from potential threats and act with greater confidence

CrowdStrike and CLEAR announced a strategic partnership that integrates CLEAR1, CLEAR’s secure identity platform, with the CrowdStrike Falcon® platform. Together, CrowdStrike and CLEAR connect threat detection with high-assurance, person-based verification, designed to enable organizations to verify the human behind unusual activity and make more informed security decisions.

As attackers increasingly exploit legitimate credentials and trusted access pathways to blend into normal digital activity, establishing trust in the person behind a valid account or recognized device is more important than ever. By combining the Falcon platform with CLEAR1, companies can verify the device, the human, and stop identity-based attacks.

Marketing Technology News: MarTech Interview with Mark Listes, CEO @ Pendulum Intelligence

“Identity is at the center of how organizations operate and how adversaries attack. Bringing CrowdStrike and CLEAR together gives customers a new way to put high-assurance person-based verification to work as part of their security strategy,” said Daniel Bernard, chief business officer at CrowdStrike. “This is what the Falcon platform is built for – bringing the best technology and intelligence together to help customers stop threats, reduce complexity, and move their businesses forward.”

CLEAR1 uses a multi-layered approach to establish confidence in a person’s identity, which includes capturing biometrics and government-issued identification and verifying it against authoritative sources. Through integrations with CrowdStrike capabilities, including Falcon® Next-Gen SIEM and Charlotte Agentic SOAR, organizations can incorporate person-based verification directly into existing security workflows without adding unnecessary friction.

Marketing Technology News: How MarTech Is Enabling Autonomous Brand Engagement Across Channels?

In practice, the integration connects Falcon’s risk detection with CLEAR1’s person-based verification. When Falcon detects potential risk, it will trigger CLEAR1 to verify the human in real time and incorporate that result alongside other security signals to inform whether activity should be allowed, investigated or blocked. By correlating identity verification data with signals across the Falcon platform, security teams can uncover suspicious patterns that might otherwise appear legitimate when viewed in isolation.

“At CLEAR, we’ve spent more than 16 years building technology that helps establish confidence in a person—not just a credential, account or device,” said Brett Romanoff, EVP of CLEAR1. “Together with CrowdStrike, that verification is now available when security decisions are being made. By verifying the person when risk emerges, organizations can make more informed decisions while keeping trusted users moving.”

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Deloitte Acquires the Business of Wavicle, Accelerating Data and AI Engineering Capabilities

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Deloitte Acquires the Business of Wavicle, Accelerating Data and AI Engineering Capabilities

File:Logo of Deloitte.svg - Wikimedia Commons

Acquisition deepens Deloitte’s Databricks capabilities, bolstering Deloitte’s Artificial Intelligence and Data practice

Deloitte announced that it has acquired substantially all of the assets of Wavicle Data Solutions, a top-tier data and AI engineering organization with a market-leading Databricks practice. This acquisition accelerates Deloitte’s already robust capability to help clients build AI-ready data foundations that power enterprise AI at scale, as well as positions Deloitte as a leading enterprise orchestrator for Databricks.

The Wavicle organization brings deep knowledge managing Databricks on all major hyperscalers, in addition to possessing industry-specific data engineering skills in areas such as consumer goods, manufacturing, financial services, life sciences and healthcare. Deloitte clients will benefit from these industry-specific skills as well as from accelerated engineering delivery at scale, as forward deployed engineers will help build these custom, industry-specific solutions within a Databricks-centric multi-alliance portfolio.

Marketing Technology News: MarTech Interview with Mark Listes, CEO @ Pendulum Intelligence

“Together, Deloitte and Wavicle can help clients strengthen their data foundations and translate AI into lasting business value, faster and at scale,” said Jason Salzetti, chair and CEO, Deloitte Consulting LLP. “This is a new, powerful combination for our clients that can address some of the data roadblocks to their AI-enabled transformations. This acquisition gives us even greater capabilities as we continue shaping the future of AI-enabled transformation.”

“Deloitte and Wavicle align in a multitude of ways, and that makes this an exciting opportunity for us. Our purpose has always been to make AI work for enterprises that build the real economy and make an impact on people’s lives. Combining our technical leadership and engineering talent with Deloitte’s impressive AI and Engineering business will help us deliver AI-powered, innovation-centered, data-strong futures for our clients across industries and sectors,” said Naveen Venkatapathi, managing director for Wavicle.

Marketing Technology News: How MarTech Is Enabling Autonomous Brand Engagement Across Channels?

Deloitte’s Databricks business builds on a long-standing alliance relationship unifying data, analytics and AI. At the “Data + AI Summit,” Deloitte was named a 2026 Databricks Partner Award winner in three categories for Consulting and System Integrators: North America Partner of the Year (regulated and unregulated industries), Banking Partner of the Year and Public Sector SLED Partner of the Year. These awards reflect a demonstrated collaboration delivering secure, measurable results across highly-regulated industries and signal the next phase of collaboration. Learn more about the Deloitte and Databricks alliance.

“Modernizing data ecosystems is a critical foundation for enterprises seeking to differentiate through AI,” said Sundhar Sekhar, chief services officer, Deloitte Consulting LLP. “The integration of Wavicle’s technical leadership and background in a wide range of solutions with Deloitte’s Databricks offering allows us to help clients bring together the modernized data foundations, industry knowledge and intelligence solutions to move faster and deliver AI that performs in the real world.”

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Optimizely Introduces Virtual Teammates, Giving Marketers Role-Specific AI Coworkers

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Optimizely Introduces Virtual Teammates, Giving Marketers Role-Specific AI Coworkers

Optimizely

New digital coworkers retain context, proactively take on recurring work, and operate across marketing tools within defined identity and permissions

Optimizely, the AI platform for marketing, announced Virtual Teammates, a new class of digital coworkers built to work alongside marketers across their day-to-day workflows. Unveiled at Opticon, Virtual Teammates can take on defined responsibilities, retain knowledge about an organization over time and proactively complete work without requiring marketers to prompt an AI tool task by task.

The launch addresses a growing challenge for marketing teams: AI adoption has increased, but so has the work required to manage an expanding set of disconnected tools. In a recent global Optimizely study of more than 2,000 B2B marketing leaders, 81% said they personally switch between two or more disconnected AI tools each week, including 19% who use four or more. Rather than adding another tool marketers need to operate, Virtual Teammates are designed to function as ongoing members of the marketing team.

Each Virtual Teammate has a defined role, responsibilities, and organizational permissions. Marketers can assign them work, involve them in conversations and workflows, and configure recurring responsibilities triggered by schedules or events. Over time, they retain relevant context from previous conversations, projects, and decisions so marketers do not have to continually re-explain how their organization works.

“Marketers want to grow their business, not spend time re-explaining it to multiple AI tools,” said Alex Atzberger, CEO of Optimizely. “A Virtual Teammate learns how your organization works once, then keeps going. This is the most exciting innovation since the introduction of agents.”

Marketing Technology News: MarTech Interview with Mark Listes, CEO @ Pendulum Intelligence

At launch, Optimizely is introducing a roster of Virtual Teammates for common marketing roles, including:

  • Chief of Staff: Helps marketers prepare for meetings, track follow-ups, monitor competitive intelligence, and deliver recurring briefings.
  • SEO & AI Search Analyst: Monitors search and AI visibility, audits AEO performance and identifies opportunities before taking action, and reports on what was done after.
  • Marketing Analyst: Turns marketing data into decision-ready insights by monitoring acquisition, content performance, and conversion trends.
  • Personalization Strategist: Identifies personalization opportunities, designs, and builds campaigns, and monitors performance to recommend next steps.
  • CRO Manager: Analyzes experiments and performance to identify areas for improvement and recommend actions for marketers to investigate and act on.

Organizations can access role-specific Virtual Teammates from a directory, where they can hire and customize ready-built teammates with role-based expertise rather than requiring marketers to build agents and workflows from scratch. Teams can adapt each teammate’s responsibilities in plain language and connect it to the systems needed to perform its work.

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Virtual Teammates can also operate on a schedule. A Chief of Staff, for example, could deliver a weekly briefing or share background details ahead of a meeting. An SEO/GEO Specialist could continuously monitor changes in search visibility and surface issues that warrant attention. Because the teammate retains relevant context over time, each assignment builds on the work and decisions that came before it.

Organizations remain in control through individually scoped permissions and built-in oversight. Companies can set where human review is required, while each Virtual Teammate’s activity is tied to its own identity that can be traced back to that identity for greater visibility and accountability.

“A lot of AI adoption stalls out because getting from idea to finished work is still hard. Even when the AI does its part, you don’t always know who did what, or trust it enough to let it act on its own,” said Kevin Li, SVP, Product at Optimizely. “That’s why we built Virtual Teammates with their own identity and permissions from day one. They carry the work through to execution, and every action ties back to a clear audit trail.”

Virtual Teammates extend Optimizely’s Agent Platform with a role-based approach to AI collaboration, moving AI from individual prompts and isolated tasks toward persistent, proactive support across marketing workflows.

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

LeanData Customer Research Reveals the AI Reckoning Unfolding in GTM Teams

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LeanData Customer Research Reveals the AI Reckoning Unfolding in GTM Teams

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70% of Survey Respondents Say Bad Data Is Undermining Their AI GTM Execution

  • Problem: There’s a serious gap between the widespread adoption of AI, including AI agents, and improvement in GTM results, according to a survey of 157 GTM practitioners.

  • Cause: Respondents named the top reasons that GTM AI initiatives underperform or stall: bad data, undocumented processes and siloed teams.

  • Reason: The problem isn’t with the quality of the AI models or agents, but with the readiness of the underlying GTM infrastructure that the AI runs on.

  • Reality: This is the AI Reckoning: All the promise of ambitious technology is being hamstrung by the reality of shaky infrastructure.

LeanData, the backbone for AI-ready go-to-market infrastructure, released findings from its AI GTM Customer Survey, spotlighting the AI reckoning unfolding across go-to-market teams. The survey, the first in an ongoing series, found that while 79% of revenue operations, marketing operations and sales professionals are already scaling or deploying AI agents, 70% say that poor data quality is undermining the results.

“An AI reckoning happens when you move fast without AI-ready execution infrastructure,” said Katy Keim, CEO of LeanData. “Our customers are sharing the pain of living through this.”

“AI models are now both powerful and incredible. Yet, we all know they work only as well as the infrastructure that lies beneath them,” said Katy Keim, CEO of LeanData. “Executives told GTM teams to move fast on AI, and they did. Now those same teams are reporting that their data is not clean, their business processes live in people’s heads and everyone is thin-slicing different views of the customer. An AI reckoning happens when you move fast without AI-ready execution infrastructure. Our customers are sharing the pain of living through this.”

Data Quality Cited as the Root Cause, Lack of Control as the Biggest Fear

The survey, conducted in May 2026 among GTM practitioners at companies of all sizes and across multiple industries, revealed a widening gap between AI’s promise and its production reality.

More than half of respondents, 55%, reported that the main things blocking their AI transformation are bad data and not being ready for AI. When asked why AI initiatives stall or underperform, 45% pointed to inconsistent or incomplete CRM data, 37% blamed undocumented business processes and 32% mentioned siloed teams. These three root causes are infrastructure and coordination problems, not shortcomings in the AI tools themselves.

GTM professionals surveyed made it clear they want more control, not more AI agents: 60% are afraid their AI agents will act on inaccurate data or wrong records, or that they would violate ownership rules. This fear signals a concern about control and a desire for a complete audit trail rather than an AI agent capability issue.

“You know you need to move fast with your AI GTM implementations, and operations leaders don’t want to put the brakes on ambition,” Keim said. “But we’re seeing that when our customers implement a more thoughtful backbone for their AI agents, they can run at full speed and also trust the output.”

AI GTM Customer Survey Details

The May 2026 AI GTM Customer Survey polled 157 LeanData customers in GTM roles, weighted toward hands-on practitioners who build and maintain GTM systems. RevOps or Marketing Ops professionals made up 57% of respondents, with the rest spread across sales, marketing, IT and sales operations. View the full report on LeanData’s website.

Many of LeanData’s customers will share their stories at the annual OpsStars gathering for B2B GTM and revenue operations leaders, to be held October 5 and 6 at the Intercontinental in San Francisco. This year’s theme, “Power Your AI GTM,” recognizes that AI has moved from experimentation to execution inside GTM revenue motions. For the first time in its 10-year history, OpsStars will run as a fully standalone conference, instead of alongside Dreamforce.

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Digital Island and RingCentral Partner to Bring Agentic Voice AI Solutions to New Zealand businesses

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Digital Island and RingCentral Partner to Bring Agentic Voice AI Solutions to New Zealand businesses

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Partnership leverages RingCentral’s Agentic Voice AI communications platform together with Digital Island’s signature local collaboration expertise and service framework