The State of Roofing Search in Florida (2026)
How AI assistants pick Florida roofers, measured across 16 cities: who ChatGPT, Gemini, Grok, and Claude recommend, how rarely they agree, and why the roofer with the most Google reviews is often invisible to AI.
When a Florida homeowner asks an AI assistant for the best roofer, the four major engines (ChatGPT, Gemini, Grok, Claude) agree on the same top pick in only 1 of 16 cities, and the roofer with the most Google reviews appears in just 28% of AI answers. In two cities the review leader is named by no engine at all. Reviews no longer guarantee AI visibility. A Space Coast deep-dive shows why: the assistants pull names from review directories (Angi, Yelp, BBB, Google) and the roofers' own sites, and 83% of recommended roofers carry LocalBusiness structured data while only 17% expose their rating. Measured primary data, Q2 2026, not estimates.
The finding in one sentence
Getting recommended by an AI assistant for Florida roofing is not luck or mystery. It comes down to three measurable things: being where the assistants look, looking like a real business in your site's code, and not checking just one assistant. We measured all three.
What we measured
This is the Q2 2026 roofing edition of the Florida Local Search Index. We asked ChatGPT, Gemini, Grok, and Claude a frozen set of 8 roofing questions, 5 times each, across 16 Florida cities (2,560 recorded answers), and cross-referenced every answer against the live Google Places review leaders in each city. Then, for the three Space Coast markets (Titusville, Melbourne, Orlando), we went two layers deeper: we analyzed the sources those answers cited, and crawled the websites of the businesses the assistants recommend. Everything below is measured, recorded, and reproducible. Nothing is an estimate.
Layer 1: who AI recommends, measured across 16 cities
Ask four assistants who the best roofer is and you get, on average, 2.9 different "#1 roofers" out of a possible 4. Across 16 Florida cities, all four agreed on the same top pick in only one city (6%).
And the business with the most Google reviews? It appears in just 28% of AI answers on average, is named by all four engines in only half of cities, and in two cities is named by no engine at all:
- Orlando: His and Hers Construction leads Google with 1,626 reviews, named by zero of the four assistants.
- Key West: Gold Key Roofing (535 reviews), named by zero.
- Melbourne: RoofClaim has 1,765 reviews and surfaced in barely 1% of runs.
- Fort Lauderdale: Paul Bange Roofing has 3,094 reviews and was named by only two of four assistants.
| City | Google review leader (reviews) | Engines naming it | Avg share of AI runs |
|---|---|---|---|
| Titusville | Platinum Roofing & Construction (173) | 1 / 4 | 1% |
| Melbourne | RoofClaim (1,765) | 1 / 4 | 1% |
| Orlando | His and Hers Construction (1,626) | 0 / 4 | 0% |
| Palm Bay | Hippo Roofing (673) | 4 / 4 | 24% |
| Cocoa | Direct Metal Roofing (413) | 4 / 4 | 9% |
| Lakeland | High Tower Roofing (624) | 4 / 4 | 36% |
| Tampa | Westfall Roofing (1,852) | 4 / 4 | 53% |
| Sarasota | Roofing by Curry (1,282) | 4 / 4 | 36% |
| Fort Lauderdale | Paul Bange Roofing (3,094) | 2 / 4 | 15% |
| Hollywood | Paul Bange Roofing (3,094) | 3 / 4 | 23% |
| Miami Beach | T&S Roofing Systems (1,188) | 4 / 4 | 35% |
| Cape Coral | Roman Roofing (1,134) | 4 / 4 | 83% |
| Fort Myers | Resolute Roofing (496) | 3 / 4 | 15% |
| Gainesville | True Force Roofing (729) | 4 / 4 | 74% |
| Pensacola | Quality Roofing Solutions (1,161) | 3 / 4 | 40% |
| Key West | Gold Key Roofing (535) | 0 / 4 | 0% |
The takeaway is not "reviews don't matter." It is "reviews are no longer enough." AI visibility is a separate, measurable channel, and most Florida roofers, including the review leaders, are losing it by default.
A business can lead on ChatGPT and be absent on Claude. Checking one assistant tells you almost nothing. We broke down the per-assistant numbers for the three Space Coast markets in the companion report: How AI Assistants Recommend Florida Roofers (Q2 2026).
Layer 2: where AI looks (Space Coast deep-dive)
For the three Space Coast markets, we went deeper on why those names surface. The assistants do not invent names. They cite sources, and we recorded 2,091 of those citations. Two kinds of source dominate: review directories and the roofers' own websites. Here are the review surfaces the assistants cited most in each market.
| Market | Review surfaces AI cited most |
|---|---|
| Titusville | Angi (50), Yelp (20), BBB (16), Google (14) |
| Melbourne | Angi (32), Yelp (28), Google (14), BBB (6) |
| Orlando | Yahoo Local (57), Google (40), Yelp (12), BBB (5) |
The pattern is consistent and actionable: Angi, Yelp, BBB, and Google are not optional. They are where the assistants go to find and rank local roofers. Orlando leans even harder on Yahoo Local and Google than the Brevard markets do. In Orlando we also saw manufacturer "find a contractor" tools (GAF, Cedur) feeding the assistants, a reminder that certification directories count too.
If a roofer is missing from these directories, or present but thin on reviews, the assistant has nothing to pull and recommends someone else.
Layer 3: what the winners have on their sites (Space Coast deep-dive)
Being in the directories gets you found. Your own site is what the assistant reads to confirm you are real and worth naming. We crawled 29 of the roofers these assistants recommend and checked their structured data and contact signals.
| Market | LocalBusiness schema | Phone and address on page | Avg rating | Median reviews |
|---|---|---|---|---|
| Titusville | 70% | 100% | 4.8 | 139 |
| Melbourne | 89% | 89% | 5.0 | 22 |
| Orlando | 90% | 100% | 5.0 | 36 |
Across all three markets, 83% of the businesses AI recommends carry LocalBusiness structured data, nearly all show their phone number and address in plain sight, and they average between 4.8 and 5.0 stars. In other words, the roofers the assistants name look, in code and on the page, exactly like what a roofer is supposed to look like.
Here is the gap worth acting on. Only 17% of the recommended roofers expose their rating and review count inside their structured data. Even the winners mostly skip it. A roofer who adds an aggregateRating to their LocalBusiness markup is doing something most of their AI-recommended competitors are not, and handing the assistants a number they can quote.
The playbook: how a Florida roofer earns AI recommendations
Put the three layers together and the recipe is concrete, not hand-wavy.
- Be where AI looks. Claim and actively collect reviews on Angi, Yelp, BBB, and Google, plus Yahoo Local if you are in the Orlando market. These are the sources the assistants cite to build their answers.
- Look like a real business in code. Add LocalBusiness (RoofingContractor) structured data with your name, address, and phone. 83% of recommended roofers have it. If you do not, you are in the minority the assistants cannot confirm.
- Add the rating most competitors skip. Only 17% of winners expose their rating in structured data. Adding an aggregateRating gives the assistants a number to repeat and sets you apart.
- Earn the reviews. The recommended roofers average 4.8 to 5.0 stars. Rating and review depth are the strongest signals the directories and assistants share.
- Measure all four assistants. You can lead ChatGPT and be invisible on Claude. One check is misleading.
Methodology and honest limits
We would rather under-claim than over-claim, so here is exactly what this is and is not.
- What it is: measured primary data. Real questions, run repeatedly, recorded verbatim, with businesses, citations, and on-site signals extracted from those records. Whether a business appears, and what its site contains, are reproducible facts.
- Coverage: the recommendation data (Layer 1) covers 16 Florida cities; the citation and on-site-signal layers (2 and 3) are a deeper dive on the three Space Coast markets (Titusville, Melbourne, Orlando). One trade, Q2 2026. A measured sample, not a statewide census. The method scales; coverage grows as we measure more markets.
- Citation gaps we disclose: Claude exposes no citations at all, and Gemini routes its citations through a Google proxy that hides the real source domain. The where-AI-looks map is therefore built from ChatGPT and Grok citations, the two assistants that reveal real source URLs. The pattern is consistent enough across markets to trust the direction.
- API surfaces, not consumer apps: we measured the assistant APIs with web search or grounding on. These are the best measurable proxies, but they are not identical to chatgpt.com, and Google's AI Overviews have no API and are not measured here.
- Site crawl scope: homepage structured data and contact signals only, not full audits. One recommended site did not respond and was excluded.
Want to know where your business stands?
This editorial covers roofing in three cities. The same measured check runs for any local trade in any Florida market.
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L3ad Solutions Research. (2026). The State of Roofing Search in Florida (2026). L3ad Solutions. https://l3adsolutions.com/research/reports/flsi-state-of-roofing-search-florida-2026
L3ad Solutions Research. “The State of Roofing Search in Florida (2026).” L3ad Solutions, June 2, 2026, l3adsolutions.com/research/reports/flsi-state-of-roofing-search-florida-2026.
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