When ChatGPT lies about your business: the GEO playbook for solo practices

A dentist in Miami posted the cleanest description of the new local-search problem I've read all year. He ran a test most practice owners haven't thought to run yet, and the result was bad enough that he wrote it up:

"I asked ChatGPT: 'best dental practice in Miami'. Three of my competitors showed up. I didn't. Even weirder — when I asked specifically about MY business, ChatGPT had my old address from 2 years ago and said we 'specialize in botox' (we don't even do botox practices)."

— u/Legitimate-Plan-7618, in r/smallbusiness — I tested my business on ChatGPT and was shocked by the results

Read that twice. Not just missing from the recommendation list — present, but wrong. The address was two years stale. The services were invented. The phone number, the OP later said in the comments, was a line he hadn't picked up in eighteen months. And the buyer asking the question — a real person, in Miami, looking for a dentist that day — got that answer back as if it were fact, in one paragraph, with no link to click through to verify.

If you run a dental practice, a law office, a med spa, a small accounting firm, or any other locally rooted single-location practice, your business already has an answer in ChatGPT. It already has an answer in Perplexity. It already has an answer in Google's AI Overviews and in Claude when somebody enables web search. Most of you haven't checked what that answer says. This essay is about why those answers are usually wrong, what they're built from, and the five-step audit any practice can run this week to start fixing them.

The name for the discipline is GEO — Generative Engine Optimization — and it's the new SEO, except about half the operators who'd benefit from it don't know it exists yet.

What the engines are actually doing

When a buyer types "best dental practice in Miami" into ChatGPT, the engine isn't pulling a list of links the way Google did for the last twenty years. It's generating one answer. To generate that answer it leans on a small number of structured sources that it trusts more than the open web: your Google Business Profile, your schema.org `LocalBusiness` markup if your website has any, the citation networks (Yelp, Healthgrades for medical, Avvo for legal, the BBB, the local chamber directories), your reviews, news mentions, and — for the rare practice big enough to qualify — Wikipedia.

The chain of inference is mechanical. The engine looks for the cleanest, most recent, most structured statement of fact about your business. Whichever source wins, that's the answer it confidently returns. If your Google Business Profile says "botox" because a previous owner added it five years ago and nobody removed it, that's what people see today. If the address on your Yelp page is the suite you moved out of in 2023, that's what people see today. If your website has no machine-readable hours and the most recent news mention of your practice is a 2021 article about a fundraiser, the engine fills the gap with what it has and presents the result with the same calm tone it uses for everything else.

The buyer doesn't know to doubt it. There's no list of ten blue links to cross-check. There's one paragraph, one phone number, one address. The cost of being wrong used to be a lower ranking. The cost of being wrong now is being the wrong answer to the question your next customer is asking.

This is a separate problem from "is the AI crawler allowed to read my site at all." It's worth knowing whose bots are reading what. OpenAI's GPTBot and Anthropic's ClaudeBot both disclose their crawler identities publicly and respect robots.txt; Perplexity documents its publisher relationships and crawler behavior. If your robots.txt blocks them — common in older WordPress installs that copied a defensive template from 2022 — you're invisible to them by your own hand. (For comparison, FidelicAI's own `robots.txt` explicitly allows every major AI crawler. The cost of being invisible to them is higher than the cost of being crawled.)

The mechanics are well-covered in the trade press. Search Engine Land's generative-search coverage is the cleanest running explainer; Near Media's local-search blog has the deepest archive on how local AI answers are constructed and where the citation networks actually pull from. If you read nothing else on this, read those two.

The point for the operator is shorter: the engines aren't making up your business from nothing. They're quoting your worst-maintained public record back to your next buyer. Fix the public record, and the answer fixes itself within a crawl cycle or two.

"If your content only ranks on Google, you are already behind"

The line above is from a marketer who's been thinking about this for a year longer than most:

"Optimizing for AI search (Perplexity, ChatGPT browse, etc.) is becoming a real channel. If your content only ranks on Google, you are already behind."

— u/zaphodbeeblebrox00, in r/SaaS — Marketing teams won't shrink in 2026

The honest steel-man of the skeptical reaction here is fair: "this is just SEO again, with a new name." Partly true. The underlying mechanics overlap. Schema.org markup matters for both. NAP consistency — Name, Address, Phone, identical across every directory you appear on — matters for both. Reviews matter for both. Citation density matters for both. If you've done classical local SEO in the last five years, you've already done half of GEO without naming it that way.

But the audience changed, and that changes the math. Google delivered ten blue links and the buyer chose. ChatGPT delivers one paragraph and the buyer trusts it. When you were the seventh result on Google for "dentist Miami Beach," the buyer might still click your link, especially if your reviews looked better. When you're absent from the ChatGPT answer for the same query, you're not the seventh option — you're not an option at all. The cost of being missing has moved from "lower CTR" to "out of the consideration set entirely." That's the operator's situation in one sentence, and it's why the same checklist that was a nice-to-have in 2022 is load-bearing in 2026. We wrote about the same dynamic from a different angle in the surface is the differentiator — the version of your business the AI engines can read is the version your buyer meets first.

The work pays off. Listen to what happened to one healthcare practice owner who fixed three boring things:

"Run a small healthcare practice. New patient numbers were flat for months. Turns out our Google Business hours were wrong, we had no online booking visible, and we hadn't responded to most of our reviews. Once I fixed those three things, new patient inquiries went up noticeably within a few weeks."

— u/DiligentBug4u, in r/smallbusiness — Anyone track how reachable their clinic business is online?

Note what's in that story and what's not. There's no agency retainer. There's no rebrand. There's no website redesign. There are three structured-data corrections — hours, booking visibility, reviews — and inquiries moved within weeks. That's a clean signal that the underlying problem is mechanical, not strategic. The buyers were looking. The information they were finding about the practice was wrong or missing. The information got right. The buyers showed up.

BrightLocal's annual consumer survey is the cleanest public dataset on how local buyers actually behave around reviews and business listings — worth reading once a year if you run a local practice, because the behavior moves faster than the platforms do.

The five-step GEO audit any practice can run this week

This is operator work. None of it requires writing copy you're proud of, hiring an agency, or sitting through a strategy deck. It requires looking, fixing, and looking again.

Step one: audit what the engines currently say about you.

Open ChatGPT, Perplexity, Claude with web search enabled, and a Google search that triggers an AI Overview. Run two queries per engine:

• The category query: "best dental practice in [your city]" / "small business CPA in [your city]" / "estate planning lawyer in [your neighborhood]."
• The direct query: ask each engine, by name, what it knows about your business.

Screenshot every answer. Note three things on each screenshot: is your business mentioned? Is the information about your business correct? What sources did the engine cite, if any? Most engines will tell you which page they pulled from if you ask "where did that come from." That source is your homework.

Step two: fix the source.

The single biggest-impact fix is your Google Business Profile. It feeds Google AI Overviews directly and it's one of the top-cited sources for ChatGPT and Perplexity on local queries. Claim it if you haven't. Audit the name, the address, the phone number, the hours (including holiday hours), the services list, the photos, the website link, the categories. Then do the same exercise on the next ten directories your industry uses — for medical, that's Healthgrades / Vitals / Zocdoc; for legal, Avvo / Martindale / Justia; for accounting, the state CPA society directory plus the BBB. The NAP (Name, Address, Phone) string has to be identical character-for-character across all of them. "Suite 200" and "Ste 200" and "#200" are three different addresses to a structured-data parser.

Then check your own website. Most modern site themes (Squarespace, Wix, modern WordPress builds, Webflow) support LocalBusiness schema markup — either built in or via a plugin. The LocalBusiness schema is the machine-readable statement of who you are, where you are, when you're open, and what you do. Engines weight it heavily because it's deliberately authored, not inferred. If your site doesn't have it, adding it is a one-afternoon job for any web developer, or a thirty-minute job for the plugin to do it for you.

Step three: publish quotable plain-text content.

The AI engines extract answers from text. They don't extract them from images of text, from PDFs that aren't OCR'd, or from JavaScript-rendered content that takes three seconds to load. The two pages that move the needle most for local practices are:

• A real FAQ page that uses the actual questions your customers ask in the actual words they use, with direct plain-text answers. "Do you take Cigna PPO?" "Yes, we're in-network with Cigna PPO and Delta Dental Premier; here's the current list." Not marketing copy. Quotable answers an engine can lift verbatim.
• A services page with each service named, briefly described, and structured. "General cleanings," "fillings," "Invisalign," each its own sub-section, not a wall of paragraph prose. Make every claim a single sentence the engine can extract.

This is the same discipline behind llms.txt — the file FidelicAI publishes at the root of its own site to give AI engines a clean, plain-text map of what we do. The principle is the same on your site: make the truth easy to quote. Every Field Guide essay has a markdown mirror, every claim has a source, every page is structured so an AI engine can extract a clean answer if a buyer asks one. We wrote about why we built it that way in anatomy of a fidelic agent. It's a costly signal: the same discipline we apply to our own public surface is what we'll apply to yours.

Step four: review the reviews.

Respond to every review. Old ones too. Reviews are GEO and customer service at the same time — engines weight review density, recency, sentiment, and the existence of owner responses. A pattern of "owner responded within 24 hours, professionally, by name" is read by the engines as a signal of an attended, current business. A pattern of fifty reviews and zero owner responses is read as a signal that the business may not be operating anymore. The cost is an hour a week. The compounding return is months long.

Step five: repeat monthly.

The engines re-crawl on different schedules — Google AI Overviews refresh fastest, ChatGPT browse refreshes when it searches, Perplexity continuously, Claude on its own cadence. Your competitors are also moving. A practice that audited in January and never looked again is back to stale by August. The audit isn't a project. It's a ritual.

The agent path: who actually does this work after week one

Here's where this connects to the rest of what we publish. Steps one through five above are real work, and it's the kind of work that doesn't get done — not because practice owners don't understand it, but because they're booked twelve patients deep on a Tuesday and the audit slides for the fifth week in a row. The same pattern shows up in the founder bottleneck and in SaaS stack sprawl. The structured-data layer of a small business is biggest-impact, low-glamour, workflows — exactly the shape a Marketing agent absorbs — and it's why we treat the audit as a recurring marketing function rather than a one-time SEO project, the same way the first marketing hire essay treats the broader handoff.

KORA-01 is the Marketing role on the Roster, and the GEO audit is part of her standard week. She runs the five-step audit on a monthly cadence, watches what each engine is currently saying about your business, files a delta report when something changes, and updates the underlying sources — Google Business Profile, schema markup, FAQ entries, service descriptions, review responses — directly. The dentist keeps doing the dentistry. The agent keeps the public-facing structured data right, in the buyer's Slack, transparent enough that the practice owner can see exactly what got changed and why. Some role-breakdown context for what an agent absorbs versus what stays human is in the Dental365 office manager teardown — same kind of role, adjacent kind of practice.

KORA-01 costs a small fraction of what a mid-market marketing manager costs. We don't price her against a salary; we price her against the part of a marketing manager's role that compounds — audits, monitors, structured-content updates, the work that should already exist by the time your team arrives Monday morning. A full-time mid-market marketing manager in NYC costs roughly $8–12K/month fully loaded, and that money buys things KORA-01 can't replace: judgment about which campaigns to run, accountability your patients can shake hands with, taste built from ten years of doing the work. KORA-01 does the recurring part of the role. Spend the rest on the part that doesn't. See the math on /pricing.

The thing to take away, whether you hire an agent or run the audit yourself this Saturday morning: your business already has an answer in ChatGPT. Your competitors have an answer too. Three of them showed up for the Miami dentist. He didn't. The fix isn't strategy work. It's looking at what the engines currently say, fixing the sources they're reading from, and looking again next month. The buyers are already asking. The only question is whether the answer they get back is the one you'd write yourself.