A Plantation med spa owner asked me last week to type “best med spa near Plantation FL” into ChatGPT. Three competitors came back, with phone numbers and a summary of what each one does well. She wasn’t on the list. She ranks in the map pack for that same search. Same business, same reviews, same website. Invisible in the AI answer.
That gap is the whole story of AI search visibility for local businesses. Google’s map pack ranks listings. ChatGPT, Perplexity and Google’s AI Overviews do something different: they verify an entity and then decide whether they trust it enough to say your name. If your business can’t be verified cleanly, you don’t get mentioned, no matter how good the work is.
Here’s why it happens, what the research actually says, and how we fix it, including what we’re still fixing on our own site.
The problem: the AI answer is becoming the first (and often last) click
This isn’t a future problem. In a study of 900 U.S. adults’ browsing data, Pew Research found that 18% of Google searches produced an AI summary in March 2025, and users who saw one clicked a traditional result in just 8% of visits, versus 15% when there was no summary. Only 1% of visits clicked a link inside the summary itself. If you’re not named in the answer, you lost that searcher.
For local queries the exposure is larger. Search Engine Journal reported Whitespark data showing AI Overviews on 68% of local searches, rising to 92% for informational queries like “how long does an eye exam take near me” and 97% for hybrid ones like “average cost of dental implants in Phoenix”. The same piece found 77% of AI Overview citations come from off-page sources, not the business’s own site.
And consumers are already asking the chatbots directly. BrightLocal’s local SEO statistics roundup puts it at 45% of consumers using ChatGPT or other generative AI tools for local business recommendations (Local Consumer Review Survey, 2026), and cites SOCi’s finding that fewer than half of businesses leading Google’s local results also appear in AI local recommendations. That’s the Plantation med spa in one sentence.
Why it happens: AI assistants verify entities, they don’t rank pages
When a Broward business is missing from AI answers, it’s almost never one thing. It’s five small things that each break verification.
1. Your name, address and phone don’t agree with each other
A model cross-checks your Google Business Profile against your website footer, Yelp, Facebook, Apple Maps and a few dozen directories. Old toll-free number on one, a residential address on another, “LLC” here and not there. Every mismatch lowers confidence. The same BrightLocal roundup cites SOCi data that only 68% of business contact information shown by ChatGPT and Perplexity matches the Google Business Profile. Inconsistent inputs produce wrong outputs, and wrong outputs get you skipped or, worse, misquoted.
2. No structured data telling machines what you are
Google’s LocalBusiness structured data documentation asks for only two required properties, name and address, then recommends telephone, opening hours, geo coordinates, price range and URL, and says plainly that the more properties you provide, the higher quality the result. Most local sites in Broward have none of it. The page says “we do Botox in Sunrise” to a human, and says nothing at all to a parser.
3. A thin Google Business Profile
No services listed, no categories beyond the primary, no Q&A, no posts, a handful of reviews with no owner replies. The GBP is the single most-referenced record for local entities. If it’s thin, there’s nothing to verify.
4. Nobody else mentions you
This is the part owners underestimate. Search Engine Land’s guide on AI and local search notes that AI systems pull from Google Business Profiles, review platforms like Yelp and BBB, and third-party sites like Reddit and news outlets, and that AI is more likely to strongly recommend a brand when it’s mentioned on many cited source pages. A business with a good website and zero third-party mentions looks unverified to a model.
5. Answer-less pages and technical blockers
The Princeton and Georgia Tech researchers who coined the term GEO tested nine content changes against a benchmark of real queries. Their Generative Engine Optimization paper (KDD 2024) reports that adding quotations lifted visibility in generative answers by about 41%, adding statistics by about 31%, and citing sources by about 28%, while keyword stuffing made pages perform worse than the baseline. Pages full of “premier, trusted, top-rated” and empty of facts give a model nothing to lift.
Then there are the blockers. Google’s own documentation on AI Overviews and AI Mode says there are no additional requirements or special markup to appear, but a page must be indexed and eligible to show with a snippet, and noindex, nosnippet and robots.txt directives limit what appears in AI features. In a recent audit sweep of Broward wellness practices we found a Plantation physical-therapy practice with a noindex tag on its homepage. No amount of content fixes that.
How Phoenix addresses it: the AI-GEO service
Our SEO & AI GEO service is built around the verification problem, not around “AI content.” The work runs in this order because each step feeds the next.
- Entity lock. One canonical name, phone, service area and description, then propagated everywhere: GBP, website footer, Apple Business Connect, Bing Places, the core directories. We did this on our own listing recently, switching to a service-area profile with the address hidden, replacing a toll-free number with a local 786 number, and matching the footer to it. We stop at 40 to 60 real citations. “200 citations” is filler and we won’t sell it.
- LocalBusiness and Service schema. JSON-LD on the homepage and every service and location page, following Google’s property list: name, address or service area, telephone, hours, geo, price range, URL, plus Service and FAQPage markup where it applies.
- Answer-shaped content. Each service page gets a direct definition, real numbers (price ranges, timelines, what’s included), and quotable statements, which is what the GEO paper found actually moves visibility. Location pages for Plantation and Sunrise follow the same pattern.
- Citations and third-party mentions. Reviews with owner replies, correct listings on the review platforms models actually cite, and earned mentions on local sites. This is slower and it’s the part that separates “verified” from “exists.”
- llms.txt and crawl access. We add an llms.txt file and make sure AI crawlers aren’t blocked in robots.txt. We’re honest about the first one: Ahrefs analyzed 137,210 domains and found 97% of llms.txt files got zero traffic in May 2026, calling the file “largely decoration” for AI visibility. It costs nothing and hurts nothing, so we include it. Anyone charging you for it as a fix is selling the wrong thing.
Timelines, because you’ll ask: entity and schema fixes can show up in AI answers within weeks, since models re-read sources often. Map-pack movement typically takes 60 to 90 days. Competitive categories like med spa in Fort Lauderdale run 4 to 6 months.
Our own site had zero schema at launch. We’re fixing it in public.
When phoenixgrowthcollective.com launched it had no structured data, no reviews program and thin citations. We audited ourselves the same way we audit clients, and we failed the same checks. The schema is going in page by page, the citation build is underway, and the reviews program starts with the first clients. We publish progress because a marketing company that hides its own scorecard isn’t one you should trust with yours.
Frequently asked questions
How can I get my business listed in Google AI Overviews?
There’s no submission form. Google says there are no special requirements beyond being indexed and eligible for a snippet. In practice, businesses that appear have a complete Google Business Profile, consistent contact details across the web, structured data on their site, and pages that answer the specific question being asked. Fix those in that order and re-check the query every few weeks.
Does llms.txt actually help my business show up in ChatGPT?
Not on current evidence. Ahrefs found 97% of llms.txt files received zero traffic, and a Hacker News thread from a developer reviewing server logs found no requests from major AI companies’ crawlers. It’s harmless and takes minutes, so we add it, but treat it as housekeeping, not a strategy. Your Google Business Profile and citations do far more.
Why does ChatGPT show the wrong phone number or address for my business?
Because it read an old listing somewhere. Models cross-reference many sources, and if a directory still carries your previous number or a former address, that data can win. BrightLocal cites SOCi research that only 68% of contact details on ChatGPT and Perplexity match the Google Business Profile. Cleaning up the core 40 to 60 citations fixes most of these cases.
Do I need to write “AI content” to get cited?
No, and it can backfire. The GEO research found keyword stuffing lowered visibility while adding statistics, quotations and cited sources raised it. Write the page a knowledgeable staff member would write: what the service is, what it costs, how long it takes, who it’s for. Specific beats polished every time.
How long before I see my business in AI answers?
Entity and schema fixes can change AI answers within weeks. Map-pack ranking typically moves in 60 to 90 days, and competitive Broward categories take 4 to 6 months. Anyone promising a fixed number of days is guessing. We’d rather tell you the range and show you the checkpoints.
Find out where you’re invisible
If you want to know exactly which of the five breaks is keeping your business out of AI answers, request a free website + AI-visibility audit. We check your entity consistency, schema, GBP completeness, third-party mentions and technical blockers, and tell you what we found even if you never hire us. Call (786) 719-7997 or use the form.
Related: SEO & AI GEO for South Florida businesses · Marketing for med spas · Local SEO in Plantation