No. They overlap, but AI search is a separate discovery layer. Roughly 30% of Chat GPT’s cited pages have little to no Google visibility. AI SEO targets the specific queries, content formats and placements the models actually pull from, which is a different job to climbing the blue links.
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Get recommended by chatgpt (and turn it into pipeline)
We get B2B brands cited and recommended across ChatGPT, Gemini, AI Overviews and Perplexity, at the time when your prospects are looking for suppliers, then tie that visibility to demo requests and closed deals.
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Your ICP is asking ChatGPT who to shortlist... and it's listing your competitors
It stings, because you probably are better. But AI doesn’t pick the best product, it goes with the consensus, recommending whoever your category mentions, reviews and talks about most. So right now your buyers are asking ChatGPT and Gemini who to shortlist, and if you’re not in the answer, you’re not in the room. You never even see the deal you lost.
So when your CEO asks “what’s our AI strategy?”, a shrug won’t cut it much longer. Getting recommended isn’t luck, it’s a repeatable set of content and citations the models pull from, and we’ve mapped thousands to find exactly what works.
AI SEO
HOW WE GET YOUR B2B RECOMMENDED IN ChatGPT
Third-party Reviews
AI models check what other sites say about you before they recommend anyone. We get you mentioned where it counts, through third-party placements, Reddit and review-site seeding that the models pull from in your category.
AI Content Strategy
We create the content on your site that AI models pull from and recommend: comparison and alternative pages, ranked listicles, and clear definitional content built around the questions your buyers actually ask.
AI Technical Audits
We make sure AI can render and read every page on your site before anything else. We fix what blocks the models, then structure your content so it gets pulled cleanly and cited as the source
Prompt Tracking
We monitor the prompts your buyers ask across every engine, tracking where you appear, your position when found, sentiment, and how often you’re cited, so we know exactly what to fix next.
Pipeline Attribution
We tie every bit of AI activity back to the pipeline it creates, connecting visibility to demo requests, qualified leads and closed deals, so you know exactly how much revenue AI search is driving.
Staying at the forefront
Our team lives and breathes AI, constantly testing what actually gets cited and recommended. As the models change what they pull from, we change what we do, so you stay at the front of what works.
We track the prompts your buyers ask across every engine and monitor where you appear, your position when found, the sentiment around your brand, and how often you’re cited. That gives a clear before-and-after picture per engine, rather than a single vanity score that hides what’s really changing. We then tie review any opportunities that are referred directly from an AI model in your CRM to associate deal value.
Yes and no. We tie AI and organic visibility back to your CRM, connecting it to demo requests, qualified leads and closed deals, so you can see the pipeline AI search is creating directly from the AI model. We’re honest that B2B journeys are multi-touch and AI is often the catalyst rather than the last click, but the link to revenue is always the goal, not the traffic number. The difficulty is when your brand is recommended in an AI model, cited by a third-party, and the user then navigating directly to your website seperately.
Some wins come quickly, like well-structured definition and comparison pages that AI can cite almost as soon as they’re live. Building citation density across third-party placements and review platforms takes longer, usually a few months to compound, but this does depend on the competitiveness of the category as well.
ChatGPT, Google AI Overviews and AI Mode, Claude, Gemini, Perplexity and others. This matters because the engines rarely agree on sources. Google’s AI Mode and AI Overviews reach the same answer most of the time but cite almost entirely different pages, so visibility has to be earned engine by engine, not once.
No, it strengthens it. AI SEO and traditional SEO share the same foundations, so the content and authority work that earns AI citations also supports your Google rankings. We run them together rather than trading one off against the other, and report on both so you can see where each is driving pipeline.
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