Services
GEO
Generative engine optimization is the work of making it more likely that ChatGPT, Perplexity, Google's AI Overviews or Gemini name your business when someone asks a question your business could answer. Nobody controls that outcome — not us, not you, not anyone selling this service. What can genuinely be influenced is whether a business is even in the running: whether the information a model draws from is accurate, structured clearly, and present in the sources these systems actually pull from.
This is also early-stage work. The way these models select and cite sources is less understood and far less stable than how Google ranks a webpage, and it changes as the underlying models change. Anyone claiming a proven, repeatable formula for guaranteed AI citations is overstating what's actually knowable right now. What we can offer instead is the honest version: the specific things that plausibly influence whether a model names you, done properly, with a straight answer about what's genuinely uncertain.
This is distinct from answer engine optimization, which targets Google’s own search results page — featured snippets, People Also Ask, voice results and AI Overviews. Both are about being the trusted answer rather than just a ranked link, but they’re different systems with different mechanics: AEO is won inside Google’s search results, GEO is won inside a separate AI product like ChatGPT or Perplexity that isn’t part of a Google search at all. A business can be well set up for one and invisible in the other.
The honesty here is deliberate, not a hedge. Plenty of agencies will sell generative engine optimization with confident language about guaranteed visibility or proprietary methods for controlling AI outputs, and none of them actually control the model. We’d rather tell you plainly what’s genuinely knowable, what’s a reasonable bet based on how these systems appear to work, and what’s simply unknown, than sell certainty that doesn’t exist in exchange for a bigger invoice. If a business needs guaranteed, predictable results this quarter, this isn’t the channel for that — and we’ll say so rather than take the budget anyway.
That said, doing this work rarely hurts, because most of what it involves — accurate, consistent business information, clear structured data, genuine third-party coverage — is worth having regardless of whether any specific AI platform ever cites you by name. A business with clean, well-structured, accurately described information across the web is in a stronger position generally, and if AI visibility does improve as a byproduct, that’s a genuine bonus on top of work that already paid for itself elsewhere.
It’s also worth noting that different models behave differently, and a business showing up favorably in one system’s answers is no guarantee of the same treatment elsewhere. ChatGPT, Perplexity, Gemini and Google’s AI Overviews each draw on different combinations of training data and live retrieval, weight sources differently, and update on their own separate schedules. Optimizing narrowly for how one model currently behaves risks being undone the next time that model changes, which is part of why the more durable approach is making the underlying information genuinely accurate and well-structured everywhere, rather than trying to reverse-engineer one system’s current quirks.
We’ll also tell you directly if a particular question or category simply isn’t one where AI answers are likely to name a specific local business at all — some queries pull in broad, generic responses regardless of how well-optimized any single business is, and spending against those isn’t a good use of budget. Part of an honest assessment is identifying which of your actual customer questions have a realistic shot at a named citation and which don’t, rather than treating every query as equally worth pursuing.
A week of our time, no cost. You get a written plan and a real number whether you work with us or not.
The work
Large language models don't rank pages the way Google does — they generate an answer based on patterns learned from training data and, for models with live retrieval, from content they can access in the moment. The things that plausibly help: being mentioned consistently and accurately across the web, having clear and unambiguous information about what you do and where, and showing up in sources these models are known to draw from. None of this is guaranteed to produce a citation, and anyone claiming certainty about the exact mechanism is guessing — but ignoring it entirely means having no chance at all.
Schema markup, consistent business information, and clear, unambiguous descriptions of what a business does help both traditional search and generative systems understand who you are without confusion. If a model can't clearly tell what your business does, where it operates, or how it differs from a similarly-named competitor, it has no reason to pick you over anyone else with clearer information. This is unglamorous, technical work, and it's also one of the few genuinely controllable levers in this entire category.
Models trained on or retrieving from the web tend to weight certain kinds of sources more heavily — genuine third-party coverage, established industry publications, forums and communities where real people discuss and recommend businesses, and content that directly and clearly answers the kinds of questions people actually ask. Getting mentioned accurately in places like this is closer to digital PR and content strategy than traditional SEO, and it's the piece most likely to actually move the needle, even though it's also the hardest to directly control or guarantee.
AI platforms are increasingly sending referral traffic to sites they cite, and that traffic shows up differently than traditional search referrals — often as direct traffic or through specific referrer patterns from AI platforms that need to be deliberately tracked rather than assumed. Setting up proper tracking to see this traffic, distinguish it from other sources, and understand what it actually converts into is part of the work, since without it there's no way to tell whether any of this effort is producing real results.
Pricing
There's no price list on our site. Two services in one market and six across forty locations are different businesses to run, so publishing one number would mean publishing the highest one. We assess first, then hand you a written plan with the recommended mix, the timeline and the monthly figure — before you've paid anything.
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A week of our time, no cost, no obligation. You end up with a written plan, a recommended mix and a real number whether you work with us or not.
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