Generative Engine Optimization
A customer asks ChatGPT who to call. It names three businesses. You're not one of them. GEO is the work that gets your name into that answer — across ChatGPT, Perplexity, Gemini, and Google AI Overview. It's not blue-link SEO (that ranks pages) and it's not the Maps pack (that's local SEO). It's the recommendation itself. And right now an assistant is handing your customer to a competitor, every hour, and nobody's measuring it.
01.Audit
We run four to six real customer queries through every AI surface — ChatGPT, Perplexity, Gemini, Google AI Overview. Not abstract test prompts. The exact phrasings someone in your city actually types when they need what you do, written for your service and your zip.
For every query on every platform we log it cold: are you named, where in the answer, and how — a flat-out recommendation, a throwaway mention, or buried in a list under three competitors. Each one gets a 0–100 score. Average across queries for the platform score, average across platforms for the one number that tells you if AI search knows you exist.
That's the diagnostic. We check what AI search says about you and call your lines the way a customer would, then hand you the receipts: where you land, and the exact competitors the assistants are recommending instead of you.
02.Build
We ship ten to fifteen authority pages on your domain — one per emergency you handle, per neighborhood you cover, per service you run. On your domain, in your name, not rented from us. Each page is built for how an assistant actually pulls a citation: the answer stated up top, hard facts under it, your entity named straight, real outbound sources cited. We write for the machine doing the recommending, not for a human who'll never scroll this deep.
Then the entity work. Name, address, phone, license and certification numbers, service radius — all of it published as Schema.org/LocalBusiness structured data and repeated as plain prose across pages so it can't be missed. An “About the team” page names every technician and the cert they hold.
Knowledge-graph signals close it out: outbound links to sources the assistants already trust, and your directory listings scrubbed so the same name, address, and phone show up identically everywhere. Conflicting records are why an assistant hedges on you. Make every signal point to one record and AI search stops guessing who you are.
03.Measure
Every thirty days we re-run the same audit. You see the visibility score per platform month over month, which exact queries moved you up, and which competitors you took ground from. No vanity dashboard. The same number, tracked, so you can see it climb or call us on it.
We track you against your three closest competitors by name. We don't pick them — the audit does. Whoever the assistants keep naming on your queries is who you're up against, so that's who we measure you against.
Built to be repeatable.
The second build goes faster than the first. By the fifth we could hand it off. Same three steps every time — audit, build, measure — whether you're a dealer group, a law firm, or a service operator running ten trucks across five suburbs. We won't pretend it's instant: AI search takes weeks to re-learn you, not days.