Informa TechTarget, being a top growth partner for the B2B technology and services sector, has announced the launch of two cutting-edge content strategy solutions, namely, AI Visibility Audit and GEO (Generative Engine Optimization) Topic Planner. The solutions have been created with an objective of helping marketers in the B2B sector cope with the evolving AI-driven buyer’s journey, wherein traditional search patterns are being replaced by AI-driven discovery and zero-click interactions.

The solutions have been created as part of a broader strategic initiative aimed at enhancing brand discoverability, content relevance, and authority across AI-driven platforms. The evolving generative AI buyer’s journey is creating new challenges for marketers, and with these latest innovations from Informa TechTarget, marketers will be able to cope with these challenges and remain at the top of an increasingly complex digital world.

The AI Visibility Audit is a tool that allows organizations to see how their brand is represented across all AI platforms. The tool gives users insight into how their brand is being consumed by their audience through AI tools, as well as any gaps in visibility and accuracy, and a clear roadmap to improving overall brand visibility and authority.

Also Read: Picsart Introduces Aura to Redefine AI-Powered Social Content Creation and Short-Form Video Production

The GEO Topic Planner is another tool that complements this by ensuring that marketing teams are able to align their content strategies with the changing preferences of AI tools. The tool is designed to ensure that brands are able to create content that has significant impact while avoiding any inefficiencies in marketing spend.

These solutions are backed by Informa TechTarget’s deep expertise in content strategy, demand intelligence, and artificial intelligence. They also leverage the company’s proprietary buyer intent data and insights, along with its real-world experience in driving AI-powered audience engagement. The organization manages a portfolio of highly targeted media properties, including Dark Reading, Cybersecurity Dive, and Computer Weekly. Notably, in 2025, Informa TechTarget reported a 235% increase in AI-driven traffic across its platforms and a fourfold rise in membership sign-ups originating from AI referrals—demonstrating the growing impact of AI on audience acquisition.

“B2B organizations have only just begun to tap into the transformative potential of AI to drive innovation in products, services, and customer engagement. As the indispensable growth partner to the B2B sector, Informa TechTarget is committed to ensuring our client partners are at the forefront of this pivotal shift,” said Gary Nugent, CEO of Informa TechTarget. “We’re in a unique position to move the B2B sector forward in its adoption of, and preparedness for, all the ways in which AI is rapidly changing the B2B marketing and sales landscape, due to our expansive set of market and buyer insights, top-of-the-line content studio, marketing and tech expertise, and expansive network of industry-leading media properties.”

Generative Engine Optimization (GEO)—also referred to as Artificial Intelligence Optimization (AIO), Answer Engine Optimization (AEO), AI Search Optimization (AISO), and Language Learning Model Optimization (LLMO)—is emerging as a critical discipline for marketers navigating the shift toward zero-click search. This trend reflects a growing reliance on AI-powered answer engines such as ChatGPT, Perplexity, Claude, Microsoft Copilot, and Google Gemini, where users receive direct answers without clicking through to websites.

Supporting this shift, a Bain & Company survey found that nearly 80% of consumers now rely on zero-click results for at least 40% of their searches. Additionally, research from Forrester indicates that B2B buyers are adopting AI-powered search at three times the rate of consumers—highlighting the urgency for marketers to rethink their content strategies.

“Marketers are seeing the need and opportunity to leverage AI search as a channel to drive prospect engagement, but not everyone has the expertise, data, and tools to do so effectively yet,” said Jane Qin Medeiros, General Manager, Brand to Demand, Informa TechTarget. “With these powerful new AI visibility and GEO content solutions, we’re empowering our clients with the latest expertise and tools to ensure their brands are visible, trusted, and aligned with AI-driven shifts in audience behavior.”

“Brands need a partner who understands not just how LLMs evaluate and recommend information, but also how to actually create quality content, or update existing content, that will be deemed valuable by these LLMs—while still telling a compelling human story,” said Mandi Tompkins, Head of Studio by Informa TechTarget. “That’s why our team combines strategic guidance, technology expertise, and multimedia creative talent, so that we can bring brand stories to life where and how audiences engage with them.”

Studio by Informa TechTarget serves as a full-scale multimedia content engine, powered by a team of over 100 creators, strategists, and AI specialists. Formed through the integration of capabilities from Industry Dive’s studioID and BrightTALK Studios, the studio delivers a comprehensive range of content formats—including video, podcasts, events, design, and research reports-enabling brands to connect with audiences across multiple touchpoints.

With the launch of these AI-focused solutions, Informa TechTarget reinforces its position at the forefront of B2B marketing innovation, helping organizations navigate the shift toward AI-first engagement and capitalize on the opportunities within the zero-click economy.

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Gradial, the system of work for enterprise marketing, announced the launch of Gradial GEO, a new capability that helps marketing teams improve visibility in AI search engines. Gradial GEO identifies gaps in how a brand appears in generative search results and executes the changes needed to improve visibility automatically.

The Problem: GEO Without Execution Is Just a Report

As AI-powered search tools like ChatGPT, Gemini, and Perplexity increasingly shape how buyers discover products and services, Generative Engine Optimization (GEO), the practice of ensuring brands appear in AI-generated answers and recommendations, has become a top priority for CMOs in 2026.

However, most GEO tools today are visibility tools: they show you where you stand but leave your marketing team responsible for acting on the recommendations. Those recommendations feed backlogs. Backlogs slow execution. And because AI models re-crawl constantly and evolve on a weekly basis, brands cannot afford to treat GEO as a quarterly audit.

Also Read: Tagshop AI Expands AI Ad Creation With Kling 3.0, Seedance Models, New Templates, and Upcoming AI Ad Clone Feature

GEO is a continuous operation. It requires continuous execution.

The Solution: Gradial Closes the Execution Loop

Gradial GEO analyzes how a brand appears across leading AI search engines, identifies visibility gaps across website content, and executes the recommended fixes automatically, directly in the CMS, without creating new backlog for marketing teams.

Because Gradial already executes marketing work across enterprise web stacks, those fixes don’t sit in a report. They get implemented immediately. And because AI models evolve constantly, Gradial agents continuously update pages and content so brands can maintain and improve their AI search visibility in real time.

With Gradial GEO, marketing teams can:

• Analyze how their brand appears across AI search engines including ChatGPT, Gemini, and Perplexity
• Identify where competitors are cited and recommended instead
• Detect content gaps on their website that reduce AI visibility
• Execute fixes automatically (new pages, content updates, and structural improvements) directly in the CMS
• Simulate how content will be presented by LLMs before it goes live, so teams can optimize ahead of publish, not after

The result is an always-on GEO optimization loop where insights and execution run continuously as AI models evolve, with brand governance and QA built into every change.

What This Means

“AI search is fundamentally changing how buyers discover brands. Marketing teams need more than insights about where they’re missing visibility. They need a system that can constantly execute the changes required to improve it. Gradial GEO closes that execution loop.” Said Anish Chadalavada, Co-founder and Chief Growth Officer, Gradial.

Gradial’s belief: your website is the source of truth that AI models reference. Brands that build a tight execution loop for both human and machine audiences will win the next decade of discovery. Brands that treat GEO as a reporting exercise will get left behind.

SOURCE: GlobeNewswire

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Zen Media has introduced GEO GPT, a new analytics tool designed to help companies measure how often their brands appear in AI-generated responses across platforms such as ChatGPT and other generative search tools. As AI increasingly shapes how buyers research vendors and products, the tool aims to give marketers visibility into a channel that has traditionally been difficult to measure. GEO GPT evaluates real buyer-style prompts and analyzes whether a brand is mentioned when AI systems recommend vendors or solutions. It tracks several metrics including brand mention frequency, recommendation position within answers, and instances where competing brands replace or outrank a company in AI responses.

Also Read: Yext and AdCellerant Forge Strategic Partnership to Boost Brand Visibility

The platform also now includes a new performance metric, which is referred to as “Answer Share.” This metric essentially measures the percentage of AI prompts in which the brand is included. This allows marketers to better understand the value of the platform in terms of the brand’s overall presence in the realm of AI. The platform essentially allows marketers to gain further insights into the way in which their brand is represented within the realm of AI, which is now more important than ever as the traditional SEO model continues to evolve into the realm of generative engine optimization. This essentially requires marketers to ensure that their brand is recognized and included within the realm of AI, which is now playing a more critical role in the way in which consumers make purchasing decisions.

Read Complete Post: Zen Media Launches GEO GPT to Measure Brand Visibility in AI Answers

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WPP, and Adobe announced a major extension of their existing global partnership, introducing integrated AI solutions to help brands transform the way they plan, create, produce, and deliver marketing content.

The new partnership brings together Adobe’s generative AI capabilities and content platforms with WPP’s strategic, creative, and media capabilities to offer a new approach to addressing some of the most important challenges in modern marketing, specifically those associated with fragmentation, scale, and personalization.

This partnership is an indicator of the shift in the industry towards agentic AI workflows and AI-driven content orchestration, which is revolutionizing the future of Content Marketing and shaping the way businesses operate in the digital market. (For more industry insights, see Content Marketing and the industry under Content Marketing.)

What Is the Expanded Partnership About?

Adobe and WPP’s new phase of collaboration builds on a decade-long alliance. Under the expanded arrangement:

Agentic AI Workflows – Brands can access coordinated AI agents from both Adobe and WPP that help with content creation, adaptation, media optimization, and multichannel activation. Adobe’s agents focus on generating and tailoring creative content, and WPP’s agents handle media spend and campaign delivery across channels.

Integrated Platforms – Adobe Firefly Foundry – Adobe’s generative AI model development environment – will be embedded into WPP Open, WPP’s agentic marketing platform, allowing companies to build generative models trained on their own intellectual property, ensuring on-brand content from the start.

Joint Go-to-Market & Transformation Practice – The companies are launching a joint team and a Transformation Practice to help organizations transform their marketing operations and integrate these AI-powered capabilities into their business.

The above capabilities together enable end-to-end orchestration – from ideation to production to activation – under a single, privacy-safe marketing system.

Why This Matters for Content Marketing

In a world where brands are expected to provide personalized experiences at scale, the traditional marketing tools and workflows are struggling to keep up. The content marketer today is facing increasing pressure to create more content, faster, and across more channels, while maintaining consistency and relevance.

Here’s how this partnership could change that:

1. End-to-End AI-Driven Content Orchestration

Instead of viewing content creation, media planning, and activation as distinct buckets, the new Adobe-WPP solution integrates them into a smooth, AI-driven process. Rather than developing concepts in one platform and executing them in another through manual processes, brands can now automate and synchronize activities throughout the entire content process.

Such integrated automation can help alleviate bottlenecks in the production process, accelerate the time to market, and help ensure that messaging is consistent across touchpoints with the audience, which is a key benefit when personalization is simply table stakes in terms of engagement.

Also Read: Iterable Introduces Insights and Controls for Marketing Campaigns

2. Brand-Safe, Personalized Creative at Scale

One of the most difficult tasks in Content Marketing is the development of high-quality, personalized creative content without losing control of the brand. With the use of Adobe Firefly Foundry, which assists brands in building their own AI models using their own IP, marketers can now automate their creative development process while also ensuring that the generated content is on-brand and suitable for commercial use. This is particularly important since generic creative AI solutions may not always be IP-compliant with the company’s corporate policies.

With agentic AI creating personalized variants of content for different segments or channels, companies can now stay relevant and personalized without having to significantly increase their production costs – a huge competitive advantage in today’s crowded digital landscape.

3. A New Role for Human Talent

Even with such intense AI integration, both companies stress the importance of human creativity. wpp.comand Adobe will train and employ creative AI engineers who will be able to assist clients in unlocking the full potential of these new agentic AI systems.

This is also reflective of a larger industry trend: AI is not replacing creative and marketing talent, but rather augmenting it. Marketers who are able to work in tandem with agentic systems will be able to spend more time on strategy and storytelling, and less time on production and data plumbing.

Business Impacts Across the Industry

For Brands and CMOs

The new partnership provides Chief Marketing Officers and brand marketers with even more powerful tools to manage comprehensive content strategies. With the automation of mundane tasks and the use of AI for personalization, businesses can:

Speed up the delivery of campaigns

Enhance the consistency of messaging across channels

Lower production costs

Deliver customer-centric content that is contextually aware

As the expectations of customers continue to escalate, with demands for relevance, authenticity, and timeliness, companies with the power of integrated AI marketing solutions will have a better chance of competing successfully.

For Agencies and Content Producers

Marketing firms and content creators may see benefits in terms of more streamlined processes and greater integration with the platform. They can leverage agentic AI to help their clients better by producing insights, media optimization, and automating creative tasks. This could result in new lines of business and more strategic engagements.

For MarTech and Consulting Firms

The Content Marketing ecosystem and technology firms could see an increase in the demand for systems integration, data orchestration, and AI adoption consulting services as brands begin to invest in AI-powered marketing infrastructure. Firms that help businesses adopt, govern, and scale these technologies will see opportunities for growth because of the overall shift to intelligent content ecosystems.

Broader Industry Implications

The growth of Adobe and WPP is also indicative of a larger trend in the Content Marketing industry as a whole: from a point solution to a more integrated platform level, made possible by generative and agentic AI. Today, marketers are looking for solutions that address complexity, rather than just addressing a particular problem.

By integrating AI across the entire marketing value chain, from data and creative platforms to media and customer experience orchestration, companies can close the gap between content and business outcomes. This could lead to even more partnerships between media holding companies, software companies, and AI platforms, and could signal the start of a new era for the Content Marketing industry.

Conclusion

As Adobe and WPP continue to forge ahead with their strategic alliance, the future of Content Marketing in the years to come is set to be reshaped by AI through the following: By integrating AI workflows, unlocking human creativity, and enabling end-to-end orchestration, companies can achieve a new level of agility and personalization in their marketing activities, which is an important factor in a world where consumer demands and competitive pressures continue to escalate.

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Yext revealed that it had partnered AdCellerant in a collaboration to help businesses ramp up their brand presence within today’s discovery ecosystem that is increasingly complex and comprises search engines, maps, apps, AI interfaces, and paid media channels. The partnership of Yext and AdCellerant is a perfect combination of the capabilities of the brand visibility platform of Yext and the digital marketing skills of AdCellerant.

Also Read: Finch Acquires Wizard Marketing to Forge “Total Search” Growth Engine

Under the agreement, AdCellerant will provide a dedicated team of certified experts to support training, strategic guidance and ongoing coaching, helping customers translate Yext’s technology into real business impact. The partnership underscores a shared belief that success in the digital-first era requires more than standalone software – it needs strategic guidance, flexible service models and long-term commitment to customer success. Beyond strengthening Yext adoption, the alliance gives brands flexibility as their digital strategies evolve, with AdCellerant’s suite of 60+ digital marketing solutions enabling unified organic and paid activation across the customer journey.

Read Complete Post: Yext Has Chosen to Strategically Partner with AdCellerant 

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With over 130 million monthly active users, Picsart, a one, stop creative design platform, has launched Aura its latest AI achievement aimed at simplifying and speeding up social content and short, form video making. They say Aura is a personal creative assistant that utilizes voice, activated prompting and co, creation to get rid of the technical skills that are usually required to use design and editing software.

Aura makes the creative process a conversation. Users no longer have to work their way through design software or learn complex workflows. Instead, they can just talk about their ideas, and they will come to life. Aura is designed to learn the user’s personal style and creative habits over time, so every project becomes faster and easier than the last.

Transforming the Creative Experience with Voice-First AI

Aura builds upon the success of Picsart’s widely used image editor, one of the platform’s most popular mini apps. Developed through research analyzing more than 100,000 user prompts, the new solution addresses the most frequent content creation requests across social media marketing, branding, and personal creativity use cases.

Rooted in Picsart’s “Vibe Design” philosophy, Aura minimizes creative friction. The experience is built to guide users seamlessly from idea generation to final output-eliminating the intimidation of a blank canvas and the uncertainty of where to begin.

Hovhannes Avoyan, Founder and CEO of Picsart, said: “The old model required you to master the tool before you could create. With Aura, we’ve eliminated that barrier entirely. The software learns you; your aesthetic, your workflow, your voice. It’s less like using an editor and more like working with a creative partner who understands what you’re trying to achieve.”

Also Read: PosterMyWall AI Launches Prompt-Driven Marketing Platform Built for Small Businesses

Built for Creators, Marketers, and Growing Businesses

Aura’s features are designed to cater to a wide range of users, from solo content creators to marketing teams working together:

• Content creators can turn static images into popular short-form videos in seconds, apply cartoon transitions, or stretch short videos into longer formats with Video Extend.
• Small business owners and entrepreneurs can turn simple product images into fully-fledged marketing materials without needing a production crew.
• Regular users can improve group photos, apply viral trends, and optimize creative assets using only voice commands.

Key Features Powering Faster Social Media Content Creation

Aura introduces several core capabilities designed to meet the increasing demand for agile, AI-driven marketing content:

Conversational Creation

Natural language and voice commands replace multi-step manual processes, dramatically reducing production time.

Unified Image and Video Workflows

Users can seamlessly transition between image design and video creation in a single conversational flow—building a product image, converting it into a marketing visual, animating it into a video ad, and extending it with audio in one continuous session.

Voice-First Creative Partner

Spoken prompts enable immediate visual output, accelerating campaign development and trend-based content production.

Adaptive Intelligence

Aura suggests styles and design “vibes” based on user preferences and project context, while maintaining continuity across sessions.

Professional Control at Speed

However, despite its automation capabilities, Aura still allows the user to have complete creative control, which includes the ability to switch between AI-assisted creation and advanced manual editing capabilities offered by Picsart.

Strengthening Picsart’s AI Ecosystem

Aura’s launch comes after a series of significant milestones for Picsart, including breaking the 2.5 billion lifetime downloads barrier worldwide. It also comes after the launch of other products such as Flow, the AI-powered workflow automation platform, and AI Assistant for complex creative tasks.

Aura, Flow, and AI Assistant mark the beginning of Picsart’s strategic vision for an AI-powered creative ecosystem where ideas can flow from inspiration to execution.

With brands and creators scrambling to keep up with the increasing demand for short-form videos, social media marketing assets, and AI-created content, Aura puts Picsart at the cutting edge of the next wave of creative technology innovation, where speed, accessibility, and personalization are the hallmarks of the future of digital content creation.

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PR Newswire, the worldwide leader in press release distribution, and Stacker, the first content distribution platform built for earned media reach, have announced an extension to their strategic partnership which aims at helping brands greatly increase the reach and impact of their content through enhanced earned media placements.

This new collaboration brings together Feature Story Amplification, a co, created product that gives brands the opportunity to have their stories editorially styled and placed in trusted news outlets, as an option in PR Newswires platform. The combination of extensive PR distribution and native earned coverage through the resulting product significantly increases brand visibility in both traditional and AI, driven discovery channels.

What the Partnership Offers

As a benefit of the extended deal, SoPR customers will be able to harness Feature Story Amplification tools, thus having the capability of transforming their data, backed, bylined stories into editorial features appearing in thousands of news outlets across the globe. This is a step forward from a typical press release syndication as it allows brands to get real editorial placement of their stories in the editorial feeds of publishers without the ads label.

Unlike traditional wire distribution that disseminates press releases widely, this approach is all about earned media i. e. , third, party outlets willingly publish a story because it contains news value and is relevant. True earned placements such as these have editorial authority, increase the visibility of target audiences, and can strengthen authority signals for both people and the gradually more important AI discovery systems.

Also Read: Algolia and Microsoft Forge Strategic Partnership to Revolutionize AI-Driven Commerce

Why This Matters for B2B Marketing and Advertising

In an era where earned media credibility and visibility across AI platforms are increasingly strategic assets, this enhanced partnership resonates deeply with B2B marketers and advertisers – particularly those operating in competitive, complex markets.

Boosting Credibility and Trust in Complex Buying Cycles

B2B buying journeys are typically longer and more research-driven than consumer journeys. Decision-makers often consult industry publications, expert commentary, and analyst insights before selecting vendors. Earned media placements — stories that appear in respected third-party outlets — are seen as more credible than paid content or brand messaging alone. This helps B2B brands build trust and authority among professional audiences that matter.

The integration of Feature Story Amplification into PR Newswire means B2B communicators can increase their brand’s presence in editorial environments where professional audiences are already engaged – from industry news feeds to specialized business outlets — without needing to orchestrate complex manual media outreach campaigns.

Enhanced AI-Driven Discovery and Search Visibility

As AI, powered search and discovery platforms become increasingly common, including large language models and AI assistants, earned editorial content is playing a bigger role in how brands are found and cited in AI outputs. When generating summaries or recommendations, AI systems often turn to signals from reliable third, party sources. Brand visibility in AI search answers can be enhanced through earned placements in trusted publications that, in particular, are part of the extended PR Newswire network something that is a rising concern of B2B marketing teams.

This is significant because AI tools are rapidly being integrated into the ways professionals research products, evaluate vendors, and collect competitive information hence, earned media not only reaches audiences directly but also elevates AI search authority and discoverability.

Integrated Content and Campaign Strategies

Historically, communicators in B2B have considered press release distribution and earned media as two different things: press releases are a way of broadly distributing news and PR teams pitch stories to the media manually to get coverage. The collaboration between Stacker and PR Newswire breaks down these barriers by providing brands with a single workflow that integrates both distribution and earned placement.

By giving marketers access to the performance of their campaigns in real, time and allowing them to see exactly which publishers have picked up their stories, they can evaluate the results of their PR efforts, measuring the reach, gaining trust with authority signals and seeing the engagement on different channels. Consequently, PR, and marketing strategies can be better informed and geared towards performance by becoming more data, driven.

Industry and Business-Level Impacts

The extended partnership also highlights broader shifts in the B2B marketing and advertising ecosystem:

Redefining Media Mix for B2B Brands

As brands reassess media strategies in a post-cookie, AI-led landscape, earned media is emerging as a key pillar alongside paid and owned channels. Rather than relying solely on paid distribution or organic content on owned channels, integrating earned editorial stories into marketing plans offers a third path that reinforces credibility and long-term visibility.

This shift is particularly important for B2B businesses that compete on expertise and trust rather than impulse or mass consumer appeal.

Evolving PR Measurement and ROI Expectations

The integration allows for finer measurement of earned media pickup, thus reaching, impact and authority signals can be determined more reliably and easily compared to traditional PR KPIs such as press mentions or gross impressions. This quantifiable insight enhances understanding of ROI, a consideration that is crucial for B2B executives who are constantly under pressure to link communication expenses with revenue results.

Competitive Edge Through Integrated Platforms

Brands leveraging the extended partnership with PR Newswire can reveal their stories on a large scale and in a more effective way than those competitors who rely on unilateral distribution or manual outreach. PR Newswire boasts an extensive global distribution network that covers a wide range of newsrooms and outlets in over 170 countries. Using this method, early adopters gain a clear advantage in terms of visibility, reputation building, and AI search presence.

Conclusion

The broadened strategic collaboration between Stacker and PR Newswire signifies a change in brand storytelling, brand visibility, and brand authority in the era of the digital and AI, focused world more than just a product improvement.

Marketers and advertisers in the B2B sector can now rely on the new way of enabling the activation of earned media placements alongside distribution which is a strong approach to enhancing credibility, effectively communicating expertise, and getting a real impact from the targeted audiences. As the borders between PR, content, earned media, and AI discovery become less and less distinguishable, tools such as Feature Story Amplification, supported by collaborative workflows and performance metrics, will be at the core of successful communication strategies in the future.

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Hannah Cranston Media (HCM), a PR agency for socially, conscious brands has rolled out further services of Generative Engine Optimization (GEO) to aid businesses in boosting their visibility in a discovery landscape AI, powered. Large language models like ChatGPT, Claude and Gemini are changing the ways how people look for, assess and believe information, HCM is therefore changing its publicity approach to help clients become the most trustworthy sources for AI, generated answers.

With more than 800 million people turning to AI platforms weekly for answers, brand discovery is shifting away from traditional search alone. Industry data indicates that 94% of links cited by AI tools originate from non-paid media, underscoring the growing strategic importance of earned media in shaping AI recommendations. HCM’s expanded GEO services position high-quality media coverage as the foundation of AI visibility while amplifying authority signals across owned channels and social platforms.

Demonstrating Measurable AI Visibility Gains

HCM reports that clients implementing GEO-optimized campaigns are already experiencing tangible results. These include:

• A 400% increase in website traffic for a client after educational content established them as a trusted alternative when consumers turned to AI following a major industry study.
• A social fitness platform gaining prominent placement within AI-generated fitness recommendations after earned media placements in leading publications were strategically syndicated and amplified across channels, including LinkedIn newsletters.
• A celebrity-backed wellness brand achieving consistent AI discoverability through timely newsjacking and tabloid coverage, reinforcing product visibility in ongoing LLM searches.

Also Read: Kontent.ai Launches AI-Powered SEO and GEO Workflows

Across its broader client portfolio, HCM notes increased high-ranking placements, authoritative backlink growth, and stronger conversion-driving traffic as a result of integrated GEO execution.

Building AI Discoverability Through a Structured GEO Framework

HCM’s proprietary GEO methodology blends high-credibility earned media with LLM-aligned educational content to strengthen authority signals. By synchronizing traditional PR strategies with AI-optimized distribution, the agency aims to compound brand relevance and sustain long-term discoverability in AI-driven environments.

Instead of viewing generative AI as something that disrupts PR, HCM considers it as a tool to extend the impact of earned media, where well, crafted stories, expert positioning, and trustworthy coverage deeply affect how AI platforms rank brands in their recommendations.

“There’s a misconception that AI will replace the need for PR. The reality is the opposite: AI is powered by the stories, expertise, and credibility brands earn through media,” Hannah Cranston, CEO and Founder of Hannah Cranston Media, said. “If your narrative isn’t clear, trusted, and widely distributed, AI has nothing meaningful to reference. At HCM, we’re helping brands understand that earned media isn’t optional in this era, it’s an infrastructure for discovery. Brands who understand the urgent need for sharp storytelling and AI visibility are coming to HCM for our approach.”

Redefining PR for the AI-First Economy

As generative AI changes the way consumers research, brands need to change their communication strategies to persuade both human audiences and machine, curated recommendations. HCM’s expanded GEO services indicate a wider movement in the field of public relations, basically, where media trust, powerful storytelling, and multi, channel promotion have a direct impact on how AI models bring out brand information.

By combining traditional PR with an AI exposure strategy, Hannah Cranston Media is helping their clients to be strong competitors in a discovery environment that is getting more and more influenced by algorithms, language models, and trust, based signals, thus, their stories are at the very front of the most important discussions.

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AirOps, the leading platform in content engineering for AI-driven search, has recently declared that they have launched a native integration with Claude, Anthropic’s AI assistant, which is used by millions of professionals for writing, researching, and making decisions. Using this integration, marketing teams can leverage not just the entire range of data accessible on the AirOps platform, but also AI search visibility, competitive citation, and content metrics.

As AI assistants become a central workspace for modern marketing teams, the gap between ideation and data-driven execution has grown. By embedding accurate, foundational performance data into the same environment where planning and content creation already happen, AirOps helps teams make faster, more informed decisions without manual reporting or fragmented workflows.

“Marketing teams are increasingly getting leverage from Claude, accelerated by releases like Claude Cowork, but are limited by access to the right data and views,” said Alex Halliday, CEO of AirOps. “AirOps is fixing this. If you’re serious about driving organic growth with content, you should have the full picture of SEO and AI visibility available directly in your assistant, not in a separate tab.”

Also Read: Kontent.ai Launches AI-Powered SEO and GEO Workflows

Turning AI Assistants Into Actionable Growth Engines

Through the new Claude connector, users can analyze and visualize AI search performance using natural-language queries, enabling deeper insight without specialized technical expertise. Teams can generate structured reports that combine data visualizations with narrative context, uncover competitive visibility gaps, and build execution-ready content strategies—all without leaving Claude.

This integration also facilitates quick synchronization back into the AirOps platform, so that any insights, plans, and outputs developed within Claude can be operationalized quickly. This tighter coupling between analysis and execution can enable better speed and confidence for any marketing teams interested in going from insights to execution.

Powered by Model Context Protocol (MCP) and Claude Apps, the integration ensures secure, permission-based access to live AirOps data while maintaining enterprise-grade data governance. By combining real-time visibility into AI search performance with Claude’s conversational interface, AirOps positions AI assistants as true command centers for content-led organic growth.

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