Florida Women's AI Visibility Report

The third study in WAVI's state research series · May 2026

When a client or a referring lawyer asks ChatGPT, Perplexity, or Gemini who the good attorneys are in Tampa or Miami, the lawyers those systems name get the calls. This report measures who gets named, and why across the largest cohort WAVI has studied to date.

The Florida report pairs three full AI platform scans (ChatGPT, Perplexity, Gemini) with a complete Sitebulb technical audit and a 20,426-citation Perplexity analysis spanning more than 400 Florida women attorneys.

It is the first WAVI study in which a citation analysis and a technical audit are run against the same cohort, a pairing that surfaces findings neither method could produce alone.

What the data shows:

• The Platform Inversion. Florida is the first state where Google's AI recognizes women attorneys least. Gemini falls to 44.6/95, below both Perplexity and ChatGPT.  Reversing the pattern from Colorado and Texas. The platform with the most direct Knowledge Graph access is the one that recognizes Florida's women attorneys least.
• Roughly seven in ten below threshold. The two most rigorous platforms agree: Gemini places 73.2% below the visibility threshold and Perplexity 71.3%. Even the most generous platform still places a majority below the line.
• Entity invisibility. Zero of 422 attorneys hold a complete Wikidata entity. Florida women attorneys are findable, but almost none are anchored as recognized entities in the structured knowledge layers AI systems use to ground their answers.
• Borrowed Visibility. Firm sites now supply just 36.6% of Perplexity citations, down from 55% in Texas, with LinkedIn the single most-cited domain. Attorneys with high aggregator dependence score 23.6 points lower than those with none.
• The Perception Gap. What is technically present and what AI perceives differ by 53.9 points. Sitebulb finds structured data on 58.2% of firm sites; Perplexity perceives it on roughly 4.3%. The layer attorneys are told their schema is "handled" on is frequently the layer the AI cannot read.

The gap is a diversity finding, but the fix is an infrastructure investment not a personal failing. This report documents exactly where the infrastructure breaks, which is the necessary first step to fixing it.

Who it's for: Individual attorneys assessing their own AI visibility, firms evaluating their roster's exposure, and bar associations and women's legal organizations building defensible, data-backed programming.

Women's AI Visibility Institute, Florida Women Attorneys AI Visibility Report (May 2026).