How B2B brands are gaining mentions in ChatGPT, Claude, and Google's AI Overviews.

      The B2B marketing playbook has introduced a new primary metric: the frequency with which a brand is referenced when a buyer queries an AI assistant. Brands that appear in tools like ChatGPT, Claude, and Google’s AI Overviews are, with very few exceptions, also those that perform well on Google itself. Thus, AI visibility correlates with search ranking rather than being a result of it.

      However, this correlation is more intricate than it may initially seem. SEO growth advisor Kevin Indig conducted a correlation analysis earlier this year, examining 30,000 AI citations across 500 software categories. He discovered that none of the traditional SEO metrics he evaluated showed a strong tie to citation frequency. Indig noted, “LLMs prefer certain factors: Perplexity and AI Overviews prioritize word and sentence counts.” In a separate survey of 313 industry professionals, he found that 78 percent believed their methods for measuring LLM visibility were flawed.

      The data indicates that AI answer engines reward essentially the same content qualities valued by Google, even if the surface metrics differ. High-quality content, reliable primary-source data, expertise of authors, and well-structured E-E-A-T signals are important across both domains. There’s a growing agreement within the SEO community that the strategy for achieving visibility in AI should mirror what is effective for Google but extend to a broader range of sources.

      SEO consultant Ben Goodey recently outlined that “in AI search, visibility is determined by three factors: whether AI can discover you, whether it trusts you, and whether it can understand and cite your content.” Building a broad presence across platforms such as YouTube, Reddit, TikTok, and relevant industry forums where potential customers gather is a practical way to address the first factor. AI systems retrieve citations from these platforms, rather than solely from a brand's website.

      Hassan Rashid implements this strategy for B2B clients as the managing editor at GrowthX AI, a content startup that pioneered the “service-as-software” model combining AI-enhanced production with editorial standards. GrowthX AI raised $12 million in Series A funding last year. Prior to this, Rashid worked for two years as an associate product manager at Addepar, a wealth-tech platform established by Joe Lonsdale in 2009 with over $9 trillion in assets under management. His portfolio includes venture-backed B2B and healthcare AI startups, including Alpaca Health.

      In one enterprise B2B SaaS client case, substantial evidence can be found within the AI answer engines themselves. The AI assistants now direct about 174 referred sessions a month to the brand across 26 articles, a significant increase from 23 the previous month, with the content receiving 794 of the tracked LLM citations on the site—more than a third of the total. The Google metrics showed similar growth: across 44 articles, the content earned approximately 1,731 organic clicks, garnered over 660,000 impressions, and recorded 5,751 organic sessions per month, with clicks more than doubling and impressions increasing by 174 percent from the previous month. This effort resulted in 29 commercial conversion events, including free-trial requests, demo completions, pricing inquiries, and lead generation form submissions.

      Another venture-capital firm Rashid created content for showcased a comparable trend. In a 90-day period, 27 articles on the firm’s website transitioned from virtually unranked to generating significant traffic: monthly organic clicks surged 33 times, from 34 to 1,108, and monthly impressions increased 14 times, from 57,000 to 820,000, with sessions reaching 1,672 per month and a cumulative total of 2,777—4.8 times the program's optimistic predictions. This progress was mirrored in AI search, propelling the firm from negligible visibility to the second-highest among competitors, with LLM referral traffic climbing 183 percent month over month and its page on the “AI wrapper” inquiry being cited directly by ChatGPT.

      At Alpaca Health, a Series A healthcare startup, Rashid led a transformation of the company’s programmatic content strategy, replacing 238 generic vendor-template pages with location-specific pages tailored from primary-source data. The revamped Texas pages alone attracted 109 clicks on the family intake form, 89 of which came through the Texas state hub, now the top-converting of the updated location pages and the second highest overall on the site. Site-wide, the family intake call to action recently achieved a record high of 66 events in one week. These pages are now effectively performing in the AI search landscape, as Alpaca is cited within Google’s AI Overview responses for over fifteen conversational queries, such as “which ABA therapy providers in San Antonio are in network,” yielding between 50 to 110 impressions.

      The shared trend across these three cases does not indicate a distinct AEO discipline. The content benefits from editorial processes that leverage primary data, human review