SEO used to be about ranking first on Google. Now, the real prize may be showing up in AI-generated answers. AdLift, the global SEO and digital marketing firm (now part of Liqvd Asia), is aiming to solve that problem with a new feature for its AI visibility platform, Tesseract.

The feature, called Brand Share of Voice (SOV), gives marketers a way to see which sources large language models (LLMs) cite when referencing their brand—and how often. In plain English: it’s a way to measure whether AI assistants like ChatGPT, Gemini, Perplexity, and Google’s AI Overviews think your brand is worth mentioning.

From Rankings to References

In the old SEO playbook, a first-page ranking was the holy grail. But with the rise of AI-driven search, traditional SERPs are being replaced by synthesized answers, often with no click-through at all. That shift has left CMOs scrambling to understand how their brand appears—or disappears—in AI outputs.

“AI models are now gatekeepers of information,” said AdLift CEO and co-founder Prashant Puri. “If your brand isn’t being cited by authoritative sources, you risk invisibility in tomorrow’s search landscape. Brand SOV is about giving digital leaders the clarity they need to influence those AI outputs.”

What’s Inside Brand SOV

The new dashboards offer:

• Citation Tracking: Which sources are citing a brand and how often.

• Source Frequency Breakdown: Identifying which publications or domains influence AI responses most.

• Export Tools: Actionable data to strengthen brand trust signals in the places LLMs are listening.

By surfacing this data, AdLift positions Tesseract as one of the first platforms globally to make AI citation tracking available at scale—a capability that could reshape enterprise SEO strategies for the “zero-click” era.

Why It Matters

The launch lands at a pivotal moment for marketers. AI-generated answers are already siphoning traffic from traditional search, with some estimates suggesting double-digit drops in organic clicks. For brands, the question is no longer just “Where do we rank?” but “Whose sources do the AIs trust?”

Competitors in the SEO tool space—think Semrush, Ahrefs, and BrightEdge—are experimenting with AI visibility metrics. But AdLift’s move to formalize “Brand Share of Voice” could give it a head start in carving out a new category: AI-era authority measurement.

The Bottom Line

For marketers, Brand SOV reframes SEO around influence rather than position. If Google once cared about backlinks, tomorrow’s AI engines care about citations. And if AdLift is right, the brands that master those signals now will be the ones AI models surface later.

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Digital teams are under pressure to do more with less—publish accessible, compliant content that ranks in search, performs across channels, and adapts to AI-driven discovery. That’s the challenge Siteimprove is trying to tackle with three new capabilities added to its recently launched Agentic Content Intelligence Platform, Siteimprove.ai: Content Blueprint AI, Mobile Solutions Suite, and Digital Experience Analytics (DXA).

The upgrades are designed to break down silos between SEO, content, accessibility, and analytics, turning fragmented workflows into a single ecosystem that prioritizes performance and compliance.

From Insights to Execution

Traditional SEO platforms often stop at insights, leaving teams to guess how to act. Content Blueprint AI goes further. Using agentic AI, it translates search data, cluster analysis, and performance signals into prioritized content actions. Instead of telling marketers “what happened,” it points to what should be built, why it matters, and what business impact to expect.

The human-in-the-loop design keeps marketers in control—whether fine-tuning strategy, ensuring compliance, or aligning outputs with brand voice—while giving teams the ability to scale strategies efficiently.

Mobile Accessibility Meets Analytics

Mobile experiences are still a blind spot for many enterprises. Accessibility checks often come late in the app lifecycle, and analytics tools rarely speak to each other. Siteimprove’s new Mobile Solutions Suite aims to fix that by combining mobile accessibility testing with in-app analytics.

This unified approach means product, QA, and marketing teams can spot accessibility issues earlier, share insights more easily, and speed up fixes—all while gaining a clearer picture of how users interact with apps.

Analytics With Context, Not Just Numbers

Standard analytics tools tell you what users did—clicked, scrolled, bounced—but rarely why. Digital Experience Analytics (DXA) layers in session replay and struggle detection to show where users get frustrated. Think “rage clicks,” endless scrolling, or stalled interactions.

Crucially, DXA is built for non-technical teams. Content managers, demand gen specialists, and UX designers can watch real sessions and diagnose issues without relying on developers, helping enterprises improve digital journeys faster.

A Unified Push Toward Accessible, High-Performing Content

Kalvin Brite, SVP of Products at Siteimprove, positioned the launch as part of a bigger mission: “Our goal is to transform access to the digital world. These new capabilities give customers the edge in winning with AI search and accessibility experiences by pairing agentic AI with deeper analytics.”

The bigger story here is less about shiny new features and more about integration. Where most enterprise teams juggle a patchwork of SEO tools, accessibility checkers, and analytics dashboards, Siteimprove is betting on an all-in-one, AI-first platform that merges them.

The Bottom Line

With AI transforming how users discover and engage with content, brands can’t afford siloed strategies. Siteimprove’s latest release underscores a clear industry shift: from static measurement to agentic, integrated systems that not only surface problems but guide solutions.

For enterprises struggling with accessibility, SEO, and user experience at once, Siteimprove’s bet is that a unified platform will mean faster fixes, smarter content, and fewer missed opportunities in the AI era of search.

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OranAI, a rising player in the AI marketing space, has closed a multi-million-dollar angel financing round to accelerate its global expansion and advance its flagship product, PhotoG. The AI-powered marketing agent is designed to automate insights, content generation, and cross-channel publishing at enterprise scale.

Founded in 2024, OranAI has quickly gained traction with its integrated AI marketing platform, which spans strategy, content creation, and campaign execution. Its suite of products—PhotoG, DataG, and VoyaAI—promises faster, more cost-efficient, and more consistent results than traditional content workflows. In just six months post-launch, the company has surpassed $1.4 million in revenue and onboarded 40+ enterprise clients across beauty, FMCG, fashion, and consumer electronics.

PhotoG: AI-Powered Content at One-Tenth the Cost

PhotoG acts as a full-service AI marketing agent, streamlining everything from market insights and strategy to image/video generation and one-click publishing. By leveraging its proprietary a-t diffusion algorithm, PhotoG delivers high-fidelity outputs across product, lifestyle, and ad formats. On VBench 2.0 marketing benchmarks, the platform achieved state-of-the-art performance with consistency scores above 0.92—placing it among the most reliable AI content engines available.

Building the “Commercial Brain”

Beyond campaign execution, OranAI is developing a multimodal AI ecosystem it calls the “commercial brain.” This includes the Oran-VL 7B vision-language model and the Oran-XVL 72B multimodal model, designed to blend trend insights with real-time customer engagement data. The goal: help brands not just generate content, but understand and act on consumer behavior at scale.

World’s Largest AI Model Library

To further differentiate itself, OranAI has created the world’s largest AI model library for advertising, covering diverse genders, ethnicities, and styles. Built with a proprietary compliance framework, the library eliminates copyright and privacy risks, enabling safe, scalable personalization across markets.

Market & Investor Confidence

Targeting high-spend industries with fast decision cycles, OranAI aligns its results-based pricing with measurable business outcomes. Investors see the company as a key driver in reshaping the trillion-dollar advertising industry.

“OranAI shows us how the next generation of AI Marketing Agents will reshape advertising,” one investor noted. “By combining technical precision with practical AI content marketing, OranAI is setting a new global standard.”

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33Across, the technology company powering supply-side data activation, has announced the availability of Equifax’s IXI Network™ financial-based targeting segments within its proprietary Glossary platform. For the first time, marketers can directly activate IXI Network audiences across CTV, app, and display inventory via 33Across’s curated private marketplaces (PMPs)—bringing financial-based targeting closer to the supply side with greater precision, control, and performance.

The IXI Network, long trusted by top financial institutions and marketers, links offline consumer asset intelligence with online programmatic media. By making these segments available in Glossary, 33Across enables network members to bridge the gap between audience segmentation and real-time execution across the open internet.

How It Works

Through Glossary, IXI Network segments are:

• Curated in PMPs – Bundling Equifax’s direct-measured, anonymized U.S. consumer asset data with premium, brand-safe inventory.

• Filtered at the Supply Level – Applying data before inventory reaches DSPs, eliminating non-performant supply.

• Activated Across Channels – Extending offline wealth insights into CTV, display, and in-app environments at scale.

• Optimized in Real Time – Using Glossary’s AI-driven supply-path intelligence to maximize KPIs like CTR, VCR, and viewability.

“Glossary was built to help brands improve programmatic performance and execute against their quality standards,” said Paul Bell, President of 33Across. “The Equifax IXI Network data is the gold standard for directly measured, anonymous consumer assets, and we’re excited for Network members to expand its application across the supply side.”

Melinda McBride, SVP of Partnerships and GM of Data-Driven Marketing at Equifax, added:

“Our IXI wealth segments represent 45% of the nation’s assets. Customers have long used them to inform critical business decisions, and now they can activate those insights programmatically with greater efficiency and scale.”

Why It Matters

This move strengthens the case for supply-side intelligence in programmatic advertising. By merging audience quality, content relevance, and inventory performance in one workflow, 33Across is positioning Glossary as a next-generation activation hub for brands looking to modernize their digital targeting strategies.

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AI may be reshaping everything from coding to copywriting, but for enterprises, customer service is the true proving ground. Today, ASAPP announced major upgrades to its GenerativeAgent® Platform, positioning it as a full-fledged enterprise AI engine for contact centers.

What started as a breakthrough in multi-turn AI conversations has evolved into an enterprise-ready system that Fortune 100 brands already have running in production. The promise: turn every customer interaction into not just a resolved ticket, but an insight pipeline for loyalty and growth.

From Chatbot to Enterprise AI Agent

While most customer service AI stops at scripted responses or escalations, ASAPP’s GenerativeAgent aims higher. The platform can reason, coordinate, and learn at scale, effectively simulating “infinite” agents working in parallel, complete with built-in quality controls to keep interactions on-brand and compliant.

The latest release introduces:

• Operational Oversight – Monitoring dashboards, flagged conversation reviews, and simulation tools so leaders can test changes before they go live.

• Builder Flexibility – Faster knowledge base configuration, prebuilt CRM/telephony connectors, and API integrations for complex workflows.

• Voice Support – Multi-agent voice configuration for enterprises expanding into phone-based AI support.

“Legacy CRMs were built to store tasks, not drive intelligence,” said CEO Priya Vijayarajendran. “This release ensures extraordinary service becomes the default, turning every interaction into actionable intelligence.”

The Market Context

ASAPP’s timing is sharp. Gartner predicts that by 2027, 25% of enterprises will rely on AI agents for a majority of customer interactions. Competitors like Five9, NICE, and Talkdesk are investing heavily in AI augmentation, but ASAPP is going all in on autonomous, governable agents—an edge in a space where “AI hallucinations” remain a board-level concern.

Unlike traditional CCaaS platforms that bolt on AI assistants, ASAPP has architected GenerativeAgent as a native agentic system. That means enterprise IT teams get observability, compliance workflows, and human-in-the-loop oversight baked in, not bolted on.

Why It Matters

Contact centers have long been seen as cost centers. ASAPP is betting that its platform can flip that script, transforming CX into a system of record for brand health and customer intelligence. If it works as promised, the platform could make AI customer service less about deflection and more about data-driven growth.

Or as Devidas Desai, SVP of product management, put it: “GenerativeAgent has grown from a promise to proven reality. It’s like a storefront open 24/7—consistent, high-quality, and getting smarter with every conversation.”

Looking Ahead

ASAPP will showcase the platform on September 18, 2025, during its webcast Beyond AI Agents: The New CX Horizon. Expect live demos of monitoring, safety guardrails, deployment workflows, and a peek at how proactive service could reshape the contact center playbook.

One thing’s certain: AI won’t just be answering questions—it will be rewriting what enterprises think customer service is for.

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Distribution isn’t exactly the sexiest corner of the supply chain, but it’s the one that keeps industries running. Now, Prokeep, the communications platform already used by thousands of distributors, wants to make it a little smarter.

At the NAW Innovators Summit, the company debuted its AI-powered Order Engine, a connected front-of-house system designed to move distributors from reactive order taking to proactive revenue generation.

From Inboxes to AI Workflows

For years, distributors have wrestled with a mix of sticky notes, phone calls, and disconnected systems. Prokeep’s pitch: consolidate everything into one AI-driven hub where counter staff, inside sales, marketing, and branch operations can actually see the same data in real time.

The new Order Engine pairs automation with a built-in Growth Hub marketing module:

• Order Automation: Instantly checks stock, builds quotes, and confirms orders.

• Growth Hub: Transforms live order data into targeted texts, emails, surveys, and follow-ups—basically a CRM that doesn’t just sit there but nudges teams into action.

The result is a closed loop where every customer interaction can spin off a campaign, and every campaign can feed back into new orders.

“Distributors shouldn’t have to chase information across inboxes and sticky notes,” said CEO Jack Carrere. “AI-powered workflows turn chaos into clarity, bringing structure and speed that directly translate into more orders.”

Tested in the Wild

The launch wasn’t just a demo. ABC Supply Co. Inc., one of the largest U.S. distributors, piloted the system and found that automating order workflows let branches respond faster, capture more business, and protect key customer relationships through improved accuracy.

“Putting customers first means communicating in the ways they prefer,” said ABC Supply CIO Tony Vaden. “Prokeep helps us do that by adding another convenient touchpoint that keeps service moving.”

Why It Matters

Margins are tight, customer expectations are climbing, and legacy systems don’t cut it anymore. Distributors that once treated orders as transactional now have to think like marketers. Prokeep is betting its Order Engine—by uniting conversations, order history, and AI-driven outreach—can give distributors the same kind of data-fueled advantage that e-commerce giants already exploit.

Beyond the Branch

Prokeep is also extending its reach by linking with the tech contractors already use, enabling one-screen ordering with distributors. On top of that, the company is partnering with manufacturers so that product launches and promotions can flow directly through distribution channels—effectively turning branches into marketing engines.

The Bottom Line

With the Order Engine, Prokeep is trying to drag distribution into the AI era without forcing branches to reinvent how they work. If it delivers, distributors may finally get the clarity—and speed—that customers have long expected but the industry has struggled to provide.

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Pharmacy benefits are complicated—sometimes maddeningly so. Navion thinks it has a fix. The company today launched its Partner Sales & Marketing Support Portal, a digital resource hub designed to help brokers, benefit consultants, TPAs, and existing partners simplify pharmacy conversations and win more client trust.

The pitch: stop drowning in acronyms and regulatory fine print. Start leading conversations with clarity and credibility.

What’s Inside the Portal

Navion’s new Partner Portal comes stocked with resources that are often missing when brokers and consultants walk into client meetings:

• Co-brandable sell sheets tailored to pharmacy benefit and cost-containment priorities.

• Timely insights tied to hot topics like GLP-1 management.

• Sharable FAQs that break down industry jargon into plain English.

• Regularly refreshed content to keep users ahead of regulatory shifts and market trends.

Partners can slap their own logos on the content, making it easy to present Navion’s expertise as part of their own toolkit.

Why It Matters

Pharmacy benefits are one of the fastest-rising line items in healthcare spend, and with new drugs flooding the market, employers are desperate for clarity. Navion is betting that by empowering brokers and advisors with polished, ready-to-go content, it can become the de facto standard for pharmacy benefit communication.

“Pharmacy is complex—and it’s one of the biggest opportunities to deliver real value to clients,” said Kiley Ward, Navion’s Chief Revenue Officer. “We built this portal to give our partners an even stronger way to educate clients, showcase pharmacy solutions, and reinforce their value in every conversation.”

Industry Context

Navion’s move reflects a broader trend in the benefits space: equipping intermediaries with digital-first sales tools. Rivals in pharmacy benefit management have flirted with similar strategies, but Navion’s approach—exclusive, customizable, and always updated—could set it apart. By making partners look smarter in front of clients, Navion strengthens its own foothold in a sector where trust and clarity are rare commodities.

Access and Availability

The Partner Portal is available now to current Navion clients and partners. Advisors can register with an access code, download materials, and start personalizing them immediately.

Navion says the goal is simple: help partners move from reactive to proactive conversations—and ultimately win more business.

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When was the last time you dusted off a customer persona PowerPoint? Chances are it’s been sitting in a shared drive, aging poorly with every new quarter. Market Logic Software wants to change that with DeepSights Persona Agents—a new AI tool that transforms those static profiles into dynamic, conversational personas.

Instead of stale PDFs, DeepSights gives marketers, product managers, and insights teams something closer to a real conversation. The system builds synthetic personas from segmentation data, behavioral insights, or even customer interview transcripts, then lets users engage with them in natural language. Think of it as a virtual focus group on demand.

From Decks to Dialogues

Most businesses treat personas as a box to tick: neat templates, demographic labels, and a few personality quirks. Useful, sure, but hardly alive. DeepSights flips that model by letting users ask personas questions, test campaign concepts, or brainstorm product ideas in real time. One-on-one chats are possible, but the real kicker is spinning up multiple personas at once—essentially, a synthetic focus group without the logistical headaches.

Olaf Lenzmann, Chief Innovation and Product Officer at Market Logic, frames it as a speed issue: “We’re turning segmentation data into living, breathing conversations. It complements qualitative research with feedback cycles at the speed of thought.”

Not Your Generic AI Persona

Plenty of AI tools promise “synthetic personas,” but many rely on cookie-cutter templates that look suspiciously similar across companies. Market Logic insists its approach is different: each Persona Agent is trained on a company’s own data. Got survey reports? They’re summarized into characters. Have customer interview transcripts? Five to ten per segment are enough to spin up a working persona.

That customization means what a sports apparel brand’s persona “says” will be meaningfully different from what a SaaS buyer profile reveals—no one-size-fits-all chatbot.

Why It Matters

The promise here is speed and flexibility. Instead of waiting weeks for research panels or slogging through decks, teams can stress-test creative ideas almost instantly. In a marketing world where campaigns shift overnight and personalization is table stakes, cutting the lag could be a competitive edge.

Of course, synthetic personas won’t replace the messiness of talking to actual customers. But as a complement, they offer a way to scale insights and keep teams from designing campaigns in a vacuum.

Availability

Market Logic says implementation takes less than two weeks, including setup, testing, and rollout. The DeepSights Persona Agents are available now, with support from the company’s experts for onboarding.

Whether businesses see this as a research accelerant or a risky shortcut will depend on execution. But one thing is clear: the humble persona deck just got a 2025 upgrade.

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