by 
New research from Evoke Strategy
The 2026 Florida Commercial Construction AI Visibility Report
A buyer-perspective study of how ChatGPT, Gemini, Claude, and Perplexity surface Florida commercial construction firms before a company is searched by name.
The real test is whether a firm appears when buyers search by region, project type, or delivery model.
Being searchable by name is not the same as being discoverable by buyers. The more important question is what happens before a buyer knows which firms to consider.
Report at a Glance
Evoke Strategy’s 2026 Florida Commercial Construction AI Visibility Report examines how ChatGPT, Gemini, Claude, and Perplexity surface Florida commercial construction firms before a company is searched by name.
The study analyzed 100 buyer discovery prompts, 400 AI responses, and 3,386 company and organization mentions included in the analysis to understand which general contractors and construction management firms appeared when the platforms were asked about regions, project segments, and delivery models.
The report found that AI visibility is highly concentrated. Just 10 companies and organizations captured 47.5% of all mentions. Those top 10 included five Florida-headquartered firms and five national firms with Florida operations. Overall, Florida and national firms were nearly even, but the company lists changed substantially depending on which AI platform was used.
Three Things Stood Out
The strongest findings were not about one type of company winning. They were about concentration, major differences among platforms, and a top tier shared by Florida-headquartered and national firms.
Ten companies captured nearly half
Across the study, 238 companies and organizations appeared. The mentions were highly concentrated, with just 10 accounting for 47.5% of all mentions.
The top 20 captured 66.0%. That does not mean those firms are the only qualified contractors. It shows how quickly AI-generated answers can concentrate attention around a relatively small group.
The platforms built different lists
When the same buyer prompt was run across all four platforms, 70.4% of the companies surfaced for that prompt appeared on only one platform. Just 2.6% appeared on all four.
Across 64 of the 100 prompts, there was no company that appeared on every platform. The same question often produced a meaningfully different set of firms.
Florida and national firms shared the top tier
The top 10 included an even split of five Florida-headquartered firms and five national firms with Florida operations.
Across all classified mentions, Florida-headquartered firms received 49.7% and national firms with Florida operations received 50.3%. Headquarters location alone did not determine visibility.
Four Platforms. Different Discovery Patterns.
The platforms did not behave the same way. If AI is used to research the market or build an early list of firms, the result can depend heavily on which system is used.
The patterns below summarize what appeared across the report dataset. They should be read as directional platform behavior, not as a claim that every response from each system works the same way in every context.
ChatGPT
540 mentions | 55 different companies
ChatGPT surfaced the narrowest overall company set and leaned heavily national. Of its classified mentions, 69.4% went to national firms and 30.6% to Florida-headquartered firms.
Claude
1,201 mentions | 85 different companies
Claude generated the most mentions overall, with a nearly even split: 52.0% national and 48.0% Florida-headquartered.
Gemini
829 mentions | 78 different companies
Gemini fell between ChatGPT and Perplexity in breadth, with 56.1% of classified mentions going to national firms and 43.9% to Florida-headquartered firms.
Perplexity
816 mentions | 193 different companies
Perplexity surfaced the broadest range of companies and leaned strongly toward Florida-headquartered firms: 71.0% Florida and 29.0% national.
The Data Behind the Findings: How We Conducted this Study
buyer discovery prompts
AI responses analyzed
company and organization mentions
companies & organizations surfaced
Florida-Headquartered Firm Share of Mentions, by Segment
Florida-headquartered firms performed strongest in Education, Civic and Public-Sector work and General Commercial Construction. National firms held a clearer advantage in Healthcare, Industrial and several specialized segments. One possible factor is the amount and clarity of publicly available regional, project and third-party information connected to each firm, although the study did not test causation.
A common name can create confusion.
During entity verification, Evoke found examples of firms whose names closely matched unrelated companies in other states or industries. In some cases, the platforms appeared to blend or misattribute information, including inconsistent headquarters locations. A common or ambiguous name may make it harder for AI systems to distinguish one firm from another, especially when regional and project information is unclear.
Why This Matters for Florida Contractors
This study examines what owners, developers, owner’s representatives, and institutional facilities teams would encounter if they used AI during early market research.
The challenge is no longer only whether someone can locate your website after searching your exact name. The real test is whether your firm appears when buyers search by region, project segment, or delivery model before they know who you are.
What the Report Covers
- What AI platforms surface in response to buyer discovery prompts
- How concentrated visibility is across Florida commercial construction
- Where visibility gaps appear among established firms
- How platform behavior differs across ChatGPT, Gemini, Claude, and Perplexity
- How name ambiguity and AI-generated inconsistencies affect visibility
- What contractors can adjust to improve regional and segment clarity
Research methodology and public reporting note: This study analyzes aggregate AI visibility patterns across 100 buyer discovery prompts, 400 model responses, and 3,386 company and organization mentions in this analysis. Evoke Strategy does not publish a company-level leaderboard or reproduce raw AI model responses verbatim. This report is part of Evoke Strategy’s ongoing research into AI search visibility across Florida industries. AI search optimization, sometimes called generative engine optimization (GEO) or answer engine optimization (AEO), focuses on improving how clearly and consistently a company is understood, cited, and surfaced when buyers use AI to research their options.
Request the Florida Commercial Construction AI Visibility Report
Get the complete report to understand how major AI platforms respond to buyer-style commercial construction research, where visibility gaps appear, and what your firm can do about them.
Is AI telling the right story about your firm, or someone else’s?
Find out whether buyers can discover your firm before they know your name. Request a structured AI Visibility Review from Evoke Strategy to understand where you appear, where gaps exist, and what your team can improve.
1. The Discovery Test
We run your firm through 100 buyer discovery prompts across ChatGPT, Gemini, Claude, and Perplexity to see exactly where and how you appear.
2. Peer Benchmark Profile
See how your visibility compares to segment and regional patterns from the study, including where competing firms are being surfaced more often.
3. Diagnostic Briefing
Receive a plain-English roadmap showing where your segment and regional signals are weak and what specific steps your team should take next.
Frequently Asked Questions
A few notes on what the report measures, how the study was conducted, and why AI visibility matters for commercial construction firms.
What is the Florida Commercial Construction AI Visibility Report?
The Florida Commercial Construction AI Visibility Report is a buyer-perspective study from Evoke Strategy that analyzes how major AI platforms surface Florida commercial general contractors and construction management firms in response to unbranded discovery prompts.
What are buyer discovery prompts?
Buyer discovery prompts are unbranded questions that reflect how an owner, developer, or owner’s representative might use AI to identify a general contractor, compare regional options, understand segment leaders, or build an early shortlist before they know which firms to search by name.
Which AI platforms were included?
The study reviewed responses from ChatGPT, Gemini, Claude, and Perplexity.
What did the study measure?
The study measured AI discovery visibility. It counted which companies and organizations appeared in AI-generated responses across 100 buyer discovery prompts and 400 model responses.
Is this a ranking of Florida commercial construction firms?
No. The report does not rank firms by quality, revenue, project quality, or client satisfaction. It measures how often companies and organizations appeared in the tested AI responses.
Why does this matter for commercial construction firms?
The study examines what owners, developers, owner’s representatives, and institutional facilities teams would encounter if they used AI to research the market, validate a referral, or identify firms for further consideration. It does not suggest that AI replaces relationships, prequalification, RFPs, bids, or formal procurement.
What is AI search optimization, GEO, or AEO?
AI search optimization is the process of improving how a company is understood and surfaced in AI-generated answers. Generative engine optimization (GEO), answer engine optimization (AEO), and AI SEO all describe overlapping parts of this work. Evoke treats AI search optimization as the broader practice and AI visibility as the measurable outcome. For commercial construction firms, that means being surfaced when owners, developers, and facilities teams search by region, project type, or delivery method, not just when someone searches your name directly.
Why should a commercial construction firm test more than one AI platform?
When the same buyer prompt was run across all four platforms, 70.4% of the companies surfaced for that prompt appeared on only one platform. Just 2.6% appeared on all four. Across 64 of the 100 prompts, there was no company that appeared on every platform. A firm can look prominent on one platform and be nearly invisible on another, even when the same question is asked.
Can a common company name really hurt AI visibility?
A common or ambiguous name may make it harder for AI platforms to distinguish one firm from another. During entity verification, Evoke found examples of closely matched names and inconsistent headquarters information. Clear regional, office and project information can help reduce that ambiguity.
How can a commercial construction firm improve AI visibility?
Contractors can improve AI visibility by publishing delivery-method and licensing language buyers actually search on, keeping project data clearly organized by segment and region, linking regional office footprint clearly, strengthening third-party validation, and testing whether they appear in unbranded buyer discovery prompts.
