Get named by AI

It is the discipline of getting a brand named, cited and described correctly by the engines that now answer buyer questions directly: ChatGPT, Perplexity, Claude, Gemini and Google AI Overviews. The work splits three ways. Control what the engines say about you, win the questions your buyers actually ask, and get into the third-party sources those engines already trust. We run all three as one program rather than three retainers.

Engines assemble answers out of pages that already rank, get linked and get mentioned, so most good SEO work already feeds GEO. What is genuinely new is the conversational long tail: high-intent questions buyers ask an assistant that never surface in a keyword tool, because nobody types them into a search box. That is the part worth new money, and it is where we hunt. We treat AI SEO and GEO as one system, not a supply line cut to fund a front.

Against a fixed prompt set, and fixed is the whole point. We call it the Fixed Set Method: the real questions your buyers ask, gathered from sales calls, support tickets, community threads and keyword data, then held constant so every measurement afterwards is comparable to the last. We report citation share per engine, mention share, answer accuracy and AI referral traffic, several runs each because engines are non-deterministic. A number that moves because someone changed the questions is a story, not a measurement.

Usually, and not by patching the answer. Nobody can edit a model. We find the pages the engine cited when it got you wrong and rebuild the signal there. A wrong answer is rarely a typo. It is what an engine concludes when the stale version of a fact is easier to retrieve than the current one. Fix that condition and the whole cluster of related errors goes with it.

Because the fields engines get wrong most often are the ones that carry legal weight here: incident history, token supply, governance, fee schedules, delisted assets and invented licensing claims. Misstate a hotel check-in time and somebody is annoyed. Misstate a custody model or a regulatory status to every prospect who asks, and you have a compliance exposure nobody on your team can see, in a channel with no impressions report and no complaints inbox.

It is associated with being in the conversation at all, which is the strongest relationship we have managed to measure. In our own study of 45 crypto and fintech brands, third-party presence predicted whether a brand appeared in AI answers, but not the rate at which engines cite the brand’s own site once brand size was held constant. We sell the first claim and refuse the second, because that is where the data landed.

No, and we would rather say so before you ask. We deliver strategy, architecture, templates and detailed briefs; your team or your writers execute them. In crypto and fintech that keeps your voice and your compliance review inside your business, where it legally belongs, and it keeps us on the part that needs a specialist.

Retainers start at $3,500 a month, month to month after the first 90 days, scoped to a set number of tracked prompts, content briefs and outreach targets. If you are not ready for a retainer, run the free scan, then start with the $3,500 one-time Audit: your real buyer questions run through every engine, with a 90 day roadmap at the end.