Groundbreaking Research
on AI Visibility Bias
The Women's AI Visibility Institute conducts the nation's first comprehensive research measuring how AI platforms systematically overlook women attorneys and provides the data-driven insights needed to close the gap.
Our Research Mission
Understanding the Problem to Build the Solution: As AI-powered search transforms how clients find attorneys, we're documenting a critical question: Are women attorneys being left behind?
Our research reveals systematic visibility gaps across AI platforms like ChatGPT and Gemini. Gaps that threaten to lock in historical bias for the next decade unless addressed now.
This isn't academic research conducted for journals. It's applied research designed to generate immediate, actionable insights that attorneys can implement today.
Key Stats
69.4% BELOW AI Visibility Threshold
94% Lack Proper Schema Markup
14.2% Have Schema But AI Can't Access It
209 Colorado Women Attorneys Analyzed
The 19-Point AI Visibility Framework
WAV's proprietary framework evaluates attorneys across 19 comprehensive criteria, generating scores out of 95 possible points across both ChatGPT and Gemini platforms.
Our dual-analysis methodology examines:
Schema Quality Assessment
What schema markup exists and how well it's implemented.
Technical Accessibility Audit
Whether AI crawlers can actually access that schema, using specialized crawler simulation to test server permissions and blocking rules.
Why Both Matter:
You can have perfect schema markup that AI never sees due to server blocking, or you can have accessible servers with no schema to read. Both paths must be clear for AI visibility.
Our Research Approach
Three Critical Reasons This Research Exists
1. Documentation - No one has systematically measured AI visibility bias against women attorneys. We're creating the evidence base that proves the problem exists and quantifies its scope.
2. Solutions - Research without action is just data. Our findings directly inform the optimization strategies, schema implementation, and technical solutions we provide. But that is only the first step.
3. Advocacy - Comprehensive data creates the foundation for advocacy with AI platform developers, bar associations, and policymakers about equitable visibility standards.
Why Our Research Matters
Our Commitment to Transparency and Rigor
Independent Analysis WAV research is funded entirely by the Women's AI Visibility Institute without external sponsorship that might create conflicts of interest.
Transparent Methodology - We share our framework structure, criteria categories, and general scoring approach while protecting proprietary methods that represent years of investment.
Action-Oriented Findings - Every finding connects directly to recommended actions attorneys can implement.
Privacy Protection - Individual attorney scores remain confidential. Aggregate findings are reported without identifying information.