Capture the current answer
Fixed prompts, clean sessions, saved transcripts. We code who gets recommended instead of you and which sources the model leaned on. Everything after this is diffed against it.
When a buyer asks ChatGPT, Gemini or Perplexity who they should hire, an answer comes back with names in it. Generative engine optimization is the work of making sure yours is one of them — and of proving, month to month, whether it is.
Tell us the site and the market you sell into. You get a written read on what is holding it back — and a straight answer about whether we are the right fit.
Generative engine optimization (GEO) is the discipline of shaping what large language models say about a business — getting it named, described accurately, and recommended when a buyer asks an assistant for options.
Where classic SEO competes for a position, GEO competes for a sentence. The model is not ranking you; it is describing you from whatever it can retrieve, which means the raw material is everything published about you, not only what sits on your own domain.
A model has to resolve who you are before it can recommend you. Consistent naming, address, founders and profile links across sources do more than another blog post.
A claim on your own site is one source. The same claim visible on a review platform, a directory and a partner page is a pattern, and patterns survive summarization.
Reviews inside a JavaScript widget, results locked in a client portal, credentials nobody wrote down — a model cannot cite what it cannot fetch.
Run out of order, this work produces nothing measurable.
Fixed prompts, clean sessions, saved transcripts. We code who gets recommended instead of you and which sources the model leaned on. Everything after this is diffed against it.
Organization and Person markup with real names and profile links, matching details across every claimed platform, and the About and credential pages that give a model something specific to resolve.
Static, crawlable versions of the things you already have: named reviews in text, results with numbers, case detail with dates. This is where most engagements find their biggest gap.
The deliverables are unglamorous. That is rather the point.
Portfolio averages from real GA4 client data, using each client’s first full month as the baseline.
Results vary based on site age, industry, and market competition.
We run the prompts your buyers use, capture the answers verbatim, and hand you the transcript — including whichever competitors get named instead of you.
Get the Baseline ProbeThe category attracts nonsense. Three things we decline on principle.
No mechanism exists to guarantee placement in a generated answer. Anyone quoting a guarantee is quoting a number they cannot control.
Devalued, retro-penalized in the 2026 spam updates, and a demotion now strips assistant citations along with rankings. We do not buy links for any client.
The proposed AI-specific file and chunking formats were dismissed by Google's own May 2026 guidance. Clean, crawlable HTML with real schema is still the format that works.
GEO leans on three other pieces of work more than on anything proprietary.
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Generative engine optimization is the practice of influencing what AI assistants say about a business when someone asks for a recommendation. It works on three inputs: a clear, consistent entity record the models can resolve; publicly crawlable proof such as reviews, case data and credentials; and corroboration of that proof on third-party sources the models retrieve from.
Control, no. Influence, demonstrably yes. Assistants assemble an answer from retrievable sources, so what is publicly written about a business, where, and how consistently determines most of what comes back. Nobody who tells you they can guarantee a mention is describing a mechanism that exists.
Yes, though they share a foundation. Answer engine optimization is about a page being quoted as the source of a factual answer. Generative engine optimization is about a business being named as a recommendation. One is a content-format problem, the other is an entity and reputation problem, and they need different deliverables.
Heavily, and in a way most owners underestimate: assistants quote review text word for word. The themes your customers actually write about become the vocabulary the model uses to describe you. That makes review acquisition a message-placement exercise, not only a star-rating exercise.
We run a fixed prompt set across the major assistants from clean sessions, save the full transcripts, and code every answer for whether you were mentioned, how you were described, which competitors were recommended instead, and which sources the model cited. That transcript becomes the benchmark the next probe is diffed against.
Paid links, no — they are devalued and the penalty risk now propagates into AI citations too. Claimed profiles on the platforms assistants actually retrieve from are a different matter and are one of the cheapest wins available; in our adopted research, simply claiming a Trustpilot profile moved AI citation odds from about one percent to fifty-four percent.
GEO is a long game with a short first step. The probe takes days; the ground it exposes usually takes a quarter to cover.
Start With a ProbeSearch Strength SEO operates out of Tampa, Florida. GEO engagements run nationally.
Assistants quote review text verbatim, so it is worth reading ours in full on our Google Business Profile reviews.
