Accessibility Analysis
WCAG-mapped findings scored across POUR, grouped into a fix queue by rule and page template so one change clears many pages.
About Accessibility Analysis
Findings come from heuristics plus an axe-core pass, mapped to a rule catalog that records which user groups each barrier affects. Scores are computed per POUR principle — Perceivable, Operable, Understandable, Robust — by penalizing open findings on severity, and the headline is the mean of the four. It is labelled a summary score and not a WCAG conformance claim, because an automated pass cannot establish conformance and saying otherwise would be a legal problem rather than a marketing win. The fix queue groups findings by rule and by page template and ranks them by severity, then by how many pages and templates are affected, so work is ordered by the change that clears the most pages rather than by whichever page was crawled first. Each item carries a remediation snippet. Findings are tagged when they sit on an authentication or checkout surface, or on a page whose citation readiness is weak, and both overlaps ship with a note that coexistence is observational and not evidence that accessibility work lifts AI visibility. Barriers can be read by funnel stage, and anything you disagree with can be marked verified or a false positive so the queue stays worth reading. Open findings become issue-linked actions in the normal backlog.
Use Cases
Order accessibility work by the fix that clears the most pages
See POUR scores and the severity mix behind them
Copy a remediation snippet straight from a finding
Retire a false positive so it stops crowding the queue
Check whether barriers sit on login or checkout surfaces
Related Features
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Accessibility Analysis - GEO Style Feature
What is Accessibility Analysis?
WCAG-mapped findings scored across POUR, grouped into a fix queue by rule and page template so one change clears many pages.
Key Benefit: Fix the barrier once, not once per page
Subscription Tier: PRO
Feature Category: Protect
How Accessibility Analysis Works
Findings come from heuristics plus an axe-core pass, mapped to a rule catalog that records which user groups each barrier affects. Scores are computed per POUR principle — Perceivable, Operable, Understandable, Robust — by penalizing open findings on severity, and the headline is the mean of the four. It is labelled a summary score and not a WCAG conformance claim, because an automated pass cannot establish conformance and saying otherwise would be a legal problem rather than a marketing win. The fix queue groups findings by rule and by page template and ranks them by severity, then by how many pages and templates are affected, so work is ordered by the change that clears the most pages rather than by whichever page was crawled first. Each item carries a remediation snippet. Findings are tagged when they sit on an authentication or checkout surface, or on a page whose citation readiness is weak, and both overlaps ship with a note that coexistence is observational and not evidence that accessibility work lifts AI visibility. Barriers can be read by funnel stage, and anything you disagree with can be marked verified or a false positive so the queue stays worth reading. Open findings become issue-linked actions in the normal backlog.
Why Accessibility Analysis Matters for AI Visibility
Accessibility Analysis is essential for optimizing your brand's visibility in AI-powered search results and recommendations. As AI systems like ChatGPT, Claude, Gemini, Perplexity, and Microsoft Copilot become primary sources of information for B2B buyers, understanding and optimizing for AI discovery is critical. Accessibility Analysis helps you fix the barrier once, not once per page, making it easier for AI systems to find, understand, and recommend your brand when users ask relevant questions.
AI Models Supported
Accessibility Analysis works across all major AI platforms including OpenAI ChatGPT, Anthropic Claude, Google Gemini, Perplexity AI, Microsoft Copilot, and DeepSeek. This ensures comprehensive coverage of how your brand appears in AI-generated responses across different models and use cases.
Use Cases for Accessibility Analysis
Here are the primary ways businesses use Accessibility Analysis to improve their AI visibility:
- Use Case 1: Order accessibility work by the fix that clears the most pages
- Use Case 2: See POUR scores and the severity mix behind them
- Use Case 3: Copy a remediation snippet straight from a finding
- Use Case 4: Retire a false positive so it stops crowding the queue
- Use Case 5: Check whether barriers sit on login or checkout surfaces
Getting Started with Accessibility Analysis
To start using Accessibility Analysis, sign up for a pro account on GEO Style. The PRO tier provides full access to Accessibility Analysis along with advanced features and higher limits.
Related Features
- Website Health: One score and one fix queue for the site itself, with GEO readiness, security, and accessibility as three domains of the same audit. Know whether your site is fit to be cited
- Security & Trust Surface: External security exposure indicators with the evidence behind them, plus authorized scanner verification inside a scope you declare. See your exposure the way an outsider does
- Moves to Win: Actionable recommendations bound to specific decisions and competitors. Tracks effectiveness by measuring decision status changes after completion with effectiveness scores (0-100). Take action that works
GEO and Generative Engine Optimization
Accessibility Analysis is part of GEO Style's comprehensive suite of Generative Engine Optimization (GEO) tools. Unlike traditional SEO which optimizes for search engine rankings, GEO optimizes for AI discovery and recommendations. This means your content, brand information, and expertise are structured and presented in ways that AI systems can easily understand, cite, and recommend to users asking relevant questions.
Keywords and Topics
Relevant keywords: accessibility analysis, AI visibility, GEO, Generative Engine Optimization,protect, AI recommendations, ChatGPT optimization, Claude optimization, Gemini optimization, Perplexity optimization, AI discovery, B2B AI visibility, pro tier features.