The Method

Generative Engine Optimization

GEO is the practice of getting your business named by ChatGPT, Perplexity, Gemini, and Google AI Overview when a customer searches for what you do. It is distinct from traditional SEO (which optimizes for blue-link ranking) and distinct from local SEO (which optimizes for Google Maps). When the next generation of buyers asks an AI for a recommendation, GEO is what determines whether your name comes up.

01.Audit

We run between four and six representative customer queries through each of the four AI surfaces — ChatGPT, Perplexity, Gemini, Google AI Overview. The queries are not abstract; they are the phrasings a real customer would type, generated for your specific service and city.

For every pair of (platform × query) we record four things: whether the business is mentioned, in what position, with what context (a recommendation, a neutral mention, a comparison list), and which competitors are named. Each pair gets a 0–100 score; platform scores are the mean across queries; the overall score is the mean across platforms.

The audit is the diagnostic. We analyze your AI-search presence and call your lines the way a customer would, then show you exactly where you rank and which competitors the assistants recommend in your stead.

02.Build

For each engagement we ship between ten and fifteen hidden authority pages on your domain. One per common emergency scenario you service, one per neighborhood you serve, one per service variant. Each page is written specifically for how an AI assistant cites sources: clear topic statements at the top, structured facts, named entities, citations to authoritative outside references.

Entity work follows: your name, address, phone, license number, certification number, and service radius — published as Schema.org/LocalBusiness structured data and reinforced as prose on multiple pages. An “About the team” page lists each technician by name and certification.

Knowledge-graph signals close the loop: outbound links to authoritative industry sources, inbound directory listings cleaned and standardized so your entity record is consistent across the public web. AI search engines learn who you are because every signal points to the same record.

03.Measure

Every thirty days we re-run the audit. You see month-over-month visibility scores per platform, the queries that moved, and the competitors gaining or losing ground.

We track against your three closest competitors specifically. The competitor list is auto-generated from the audit itself — whichever names are appearing on your queries.

Built to be repeatable.

The second build is faster than the first; the fifth could be handed off. We run the same method — audit, build, measure — for dealer groups, law firms, and multi-location service operators.