Forty-five percent of consumers now ask ChatGPT, Perplexity, and Gemini for local recommendations. Only 1.2% of businesses show up. For $149, we fix that, once.
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Somewhere in your city, right now, a homeowner is asking an AI model who to call about a leaky pipe. The model answers with three names. Usually confident. Usually wrong about you.
If your business isn't structured so the model can see it, you're not in the consideration set. You're not even being ignored. You don't exist.
SEO rewarded whoever Google ranked. GEO rewards whoever the model can understand. Those are not the same companies.
ChatGPT pulls 60 to 70 percent of its local data from Foursquare. It fills the gaps with Bing. Gemini leans on Google Business Profile. Perplexity is biased toward structured, citation-heavy content. None of them rank pages the way Google does, and the overlap between Google's top results and what AI actually cites is about 45 percent. Being number one on Google gets you, on average, a coin flip.
The single biggest lever, according to the Princeton GEO paper, is citing external sources inside your content. Adding cited statistics lifted visibility by 115 percent. Schema markup, the structured data that tells a model what this page is about, made a site 3.2× more likely to be cited (Milestone, 4,500 sites). Eighty-seven percent of websites still have zero structured data. That is the arbitrage.
AI referrals also convert harder. 15.9 percent versus Google organic's 1.76 percent. The volume is smaller today. The quality isn't close. And the volume is growing at nearly eight hundred percent a year.
One missed install. One missed case. One missed roof. AI is already routing those calls. Just not to you. Here's what a single missed lead is worth, by industry, based on average job value and paid CPL benchmarks.
Seven hundred and seven contractors earned a combined $1.04M from AI leads in Q1 2026 alone. The pipe is real. The question is whether your name comes out of it.
We query ChatGPT, Perplexity, Gemini, and Claude with the kinds of questions your customers are actually typing. You get a visibility score, who AI recommends instead, and the cleanest quick win to close the gap.
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We start with a full AI visibility scan across ChatGPT, Perplexity, Gemini, and Claude. That tells us exactly where the gaps are and who the model prefers instead. Then we go to work on the parts of the internet AI actually reads.
We deploy Schema.org structured data (LocalBusiness, FAQPage, Service) directly into your site. This is the single cheapest lever in GEO and the one almost no one has pulled. We audit your NAP consistency (name, address, phone) across the web and fix the places it drifts, because AI models discard inconsistent entities.
We optimize the three directories that matter: Foursquare, which powers 60 to 70 percent of ChatGPT's local answers; Bing Places, which fills ChatGPT's search gaps; and a full, guided Google Business Profile setup for Gemini. We publish a content seeding package. Listicles and articles on the platforms AI cites most, because listicle-format pages account for 40.9% of all commercial citations.
We run a competitor analysis so you know exactly who AI is recommending and why. We check for hallucinations. Places AI is telling customers the wrong hours, wrong services, wrong phone number. Then we fix the upstream data. We generate an llms.txt file so future models have a canonical, machine-readable description of what you do.
It is a pile of small, correct decisions. You pay $149 once. We make them.
One-time. Delivered in under 72 hours, most of it automated the minute you pay.
The full stack, done for you.