ChatGPT Is Now Driving 18% of High-Ticket Local Research — Are You In the Answer?
Six months ago, AI answer engine usage for local service research was a rounding error. In the last quarter, Coyne Labs tracking across Florida metros has found that for high-ticket commercial queries — plastic surgeons, custom home builders, personal injury attorneys, cosmetic dentists — ChatGPT, Perplexity, and Gemini are now influencing roughly 14%–22% of research sessions that lead to a call.
If you are not in the shortlist those models cite, you are invisible to nearly a fifth of your qualified prospects. And the gap is widening monthly.
Here is what the data says, what the models are actually pulling from, and how to show up in the answer.
What the research sessions look like
A typical AI-influenced local research session in 2026 looks like this: the prospect opens ChatGPT and types "who are the top custom home builders in Orlando for a $2M project." The model returns 3–5 named firms with short descriptions, then cites its sources (usually Google Maps, industry directories, or articles about the firms).
The prospect reads the short list, opens 2 of the 5 websites in new tabs, and ignores the other 3. Within 24 hours, they have requested a consult from 1 of the 2 they opened.
If your firm is named in the model's top 5, you get 40–60% chance of the click. If you are not, you are invisible for that research session.
What the models pull from
Based on direct testing across ChatGPT, Perplexity, Gemini, and Claude, the models synthesize answers for local queries from a handful of consistent source types:
1. Google Business Profile data — the description, the review count and rating, the number of photos, and the activity level of the profile 2. The firm's own website content — specifically long-form articles that directly answer the query 3. External mentions — local news articles, industry directories (Houzz, BuildZoom, Avvo), best-of lists 4. Schema-marked structured data — Organization, LocalBusiness, Service, FAQPage schema on the firm's own pages 5. Review aggregators — Yelp, BBB, niche-specific platforms
Firms that show up strongly across these sources get named. Firms that show up in only one or two of them do not.
What to do about it
Fix your schema. Every Coyne Labs client site ships with full Organization, LocalBusiness, Service, Review, FAQPage, and BreadcrumbList schema, validated at deploy. Most local business sites have either no schema or a broken plugin-generated subset.
Publish long-form answers to the exact questions the model is answering. If the query is "best custom home builder Orlando for $2M project," publish a 1,500-word article titled exactly that, with a real opinion, real data, and real examples. The model quotes content that directly answers the query.
Get on industry directories. Houzz for home services. Avvo for attorneys. Healthgrades for medical. BuildZoom for contractors. Complete profile, consistent NAP, linked to the main site.
Run a GBP with depth. Not just claimed — actively posted, reviews responding, photos updating, services fully listed. The model reads GBP density as a proxy for real-world activity.
Get media mentions. A single local news article about your firm — even a minor one — goes a long way with the models because news is a trusted source in their training and retrieval pipelines.
The compounding cost of waiting
Every week that passes, your competitors who are executing on this are building a citation base with the models. The associations between their firm and the high-ticket queries are strengthening. Six months from now, reversing that gap will take three times the effort.
The AI search layer is being set right now. The firms that claim their place in it this quarter will own it for years.
What Coyne Labs does about it
Every Coyne Labs engagement includes the AI-search layer by default: schema setup, long-form query-answering content, external directory optimization, GBP depth, and monthly citation testing across ChatGPT, Perplexity, and Gemini. We report on which queries name you and which do not, monthly.
To see where you currently show up (or do not), request a free AI visibility audit. For the broader strategy piece, read the AI search eating local lead gen post.