
How does a South Florida business get recommended by ChatGPT and Google AI Overviews?
By fixing three layers in order. First, entity consistency: identical name, address, phone, hours, service list and service area across the website, Google Business Profile, Apple Maps, Yelp, Bing Places and top industry directories — inconsistency is the most common reason a model declines to name a business. Second, extractability: service and FAQ content that answers the question directly in quotable prose, with LocalBusiness and FAQPage schema. Third, corroboration: independent local sources that confirm and evaluate the business. Entity and schema fixes typically propagate in two to six weeks; durable citation share takes about six months.
By Trisha Seal · July 31, 2026 · Seal Global is headquartered in Miramar, Florida and runs AI search visibility programmes for South Florida businesses across Miami-Dade, Broward and Palm Beach, backed by 25+ years of digital operations experience.
The owner had a reasonable complaint. Page-one rankings for the terms his previous agency tracked. A four-point-eight star average. Fourteen years in business in Broward County. And when he typed his own category into ChatGPT and asked which company he should hire near him, the assistant named three competitors and never mentioned him once. He ran it again the next day, in case it was a fluke. Same three names.
This is the most common pattern we see in South Florida, and it is not a ranking problem. What follows is how that engagement actually ran over 90 days — including the part that did not work. Details are generalised to protect the client, but the sequence, the timings and the diagnostic method are exactly as delivered.
Week one: the prompt panel, and what it exposed
We did not touch the website. We built a panel of 34 questions a real customer would ask — category plus neighbourhood, category plus "best", comparison questions naming competitors, and problem-first questions that never mention the category at all. Then we ran every question three times across ChatGPT, Perplexity, Gemini and Google AI Overviews and recorded three things: whether he was mentioned, where he sat among the named options, and which URL got cited.
prompts in the tracked panel, run three times each
baseline mention rate across all four assistants
conflicting business facts found across directories
mention rate at day 90
Baseline mention rate was 6%. Worse, in the two answers where he did appear, the assistant cited a four-year-old directory listing with a phone number that had been disconnected since 2023. The model was not ignoring him. It could not work out who he was.
Week two to four: the unglamorous entity cleanup
We found nine conflicting facts across the web: two different suite numbers, three different service-hour sets, an old business name from before a rebrand, two phone numbers, and a service area that said "Miami" in one place and "South Florida" in another. Each inconsistency on its own is trivial. Collectively they make a language model uncertain, and an uncertain model reaches for a competitor it can describe confidently.
The fix was a single source-of-truth document and then thirty-one directory corrections, starting with Google Business Profile, Apple Maps, Yelp and Bing Places, then the industry directories that actually get cited in his category. This is standard local SEO services work that most agencies treat as a setup task and never revisit. It took eleven days and it did more than everything that followed.
Week four to seven: making the site quotable
His service pages read like brochures — three paragraphs of positioning before any concrete claim. Models cannot lift an answer out of that. We rewrote the top five pages so each opened with a direct, self-contained answer to the question the page targets, followed by specifics: what is included, what it costs, how long it takes, what the service area is. Then FAQ blocks in customer language, LocalBusiness and FAQPage schema, and a services list that matched the profile word for word.
Worth saying plainly: this is also just good writing. Every change that helped the assistants also raised the conversion rate on those five pages, because a visitor who gets the answer in the first sentence stays.
Week seven to twelve: corroboration, and the part that failed
Models weight independent sources heavily. We pursued three: a local business publication feature, two genuine category roundups, and a chamber listing refresh. Two landed. The third — a paid placement on a directory that looked authoritative — produced nothing measurable, and we cut it in week ten. We mention it because vendors rarely report the line item that did not work, and it was roughly 15% of the programme spend that quarter.
Day 90: what actually moved
| Measure | Baseline | Day 90 |
|---|---|---|
| Mention rate across tracked prompts | 6% | 41% |
| Prompts where cited source was his own site | 0 | 19 |
| Google Business Profile calls (monthly) | 112 | 164 |
| Non-branded organic clicks (monthly) | 840 | 1,190 |
| AI-referred sessions in analytics | ~0 | 210 |
An honest note on keyword difficulty in this market
Before this engagement we tested eight candidate terms for an easy entry point in South Florida — "ai search optimization miami", "chatgpt seo miami", "generative engine optimization miami", "local ai search optimization", "ai search visibility service", "south florida seo agency", "south florida digital marketing agency" and "miami seo agency". None of them cleared our bar of difficulty under 35 with meaningful monthly volume. The closest was "miami seo agency" at roughly KD 39 and 260 searches a month, which narrowly misses.
We are saying that rather than inventing a quick win, because it changes the strategy: in this market the realistic path is head-term patience plus AI visibility, where the competitive field is thin and moves fast. A term like "digital marketing agency miami" at 1,600 searches a month and KD 52 is a twelve-month objective, not a quarter-one one — and the prompt panel is where you can show progress in the meantime.
The five steps, in the order they should run
- Build the prompt panel and record a baseline before touching anything.
- Resolve every conflicting business fact across the web to one source of truth.
- Rewrite priority pages to lead with the answer and add LocalBusiness plus FAQPage schema.
- Earn two or three genuine local corroborations and drop anything that does not move the panel.
- Re-run the panel monthly and manage to mention rate, not to rankings.
What this cost, and when to hire help
The programme ran at the lower end of the South Florida market — comparable to a mid-tier local retainer rather than a full-service agency engagement. The expensive part is not the tooling; it is the thirty-one directory corrections and the rewriting, which are labour. If your rankings look fine and revenue does not, buy a diagnosis before you buy a retainer: that is what our search optimization consultants do as a fixed-scope engagement. If you already know the gap is AI visibility, start with South Florida AI search optimization and keep the prompt panel as your scoreboard.
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