When I designed this tool, I didn't want another surface-level score. I wanted a tool that crawls up to 50 of your pages, analyzes your content at the block level, checks your technical infrastructure, evaluates your schema markup, tests your AI crawler access, and hands you a prioritized list of exactly what to fix. Here's what you'll get:
GEO Score with 6-Category Breakdown
A single composite score from 0 to 100, calculated using a weighted methodology: AI Citability (25%), Brand Authority (20%), Content E-E-A-T (20%), Technical SEO (15%), Schema Markup (10%), and Platform Readiness (10%). But I didn't stop at the overall score—each category gets its own score so you can pinpoint exactly where your site is strong and where it's leaking opportunity.
Page-by-Page Content Analysis
The tool crawls up to 50 pages and measures each one individually. For every page, you'll see the heading structure (H1 through H6), internal and external link counts, image counts with alt text coverage percentages, word counts, and schema types detected. I built this because GEO optimization isn't a site-wide toggle—it's a page-by-page discipline. Your blog might score 56 while your alternative comparison pages score 60. That difference tells you which content templates are working and which need restructuring.
Block-Level Citability Scoring
This is where most audit tools stop, and where ours goes deeper. We don't just score pages—we score individual content blocks within each page. Every paragraph gets evaluated on five dimensions: Answer Quality, Self-Containment, Structure, Statistics, and Uniqueness. A content block scoring 71/100 with 98% Self-Containment but only 38% Statistics tells you exactly what's missing: that paragraph reads well and stands alone, but it needs more data points to be citation-worthy. This granularity is what turns a vague "improve your content" recommendation into an actionable editing task.
E-E-A-T Breakdown Across Four Dimensions
Experience (first-hand knowledge, case studies, original research), Expertise (credentials, technical depth, structured content), Authoritativeness (citations, press mentions, brand recognition), and Trustworthiness (security headers, contact information, editorial standards). Each dimension scores separately out of 25. When I see a site with Trustworthiness at 25/25 but Expertise at 11/25, I immediately know the site has solid security fundamentals but needs more visible author credentials and deeper content structure. That specificity is what makes the audit actionable.
Not all AI search engines are the same. ChatGPT heavily weights Wikipedia and Wikidata for entity understanding. Perplexity rewards Reddit presence and content recency. Google AI Overviews prioritize existing top-ranking content and structured data. Bing Copilot weights LinkedIn signals. Our tool scores your optimization level for five platforms individually—Google AIO, ChatGPT, Perplexity, Gemini, and Copilot—with platform-specific scores so you can optimize based on where your audience actually searches.
AI Crawler Access Report
We check your robots.txt against 14 AI-specific crawlers across three priority tiers. Tier 1 includes GPTBot, OAI-SearchBot, ChatGPT-User, ClaudeBot, and PerplexityBot—the crawlers for the platforms handling the most AI search queries. Tier 2 covers Google-Extended, GoogleOther, Applebot-Extended, Amazonbot, and FacebookBot. Tier 3 includes CCBot, anthropic-ai, Bytespider, and cohere-ai. You'll see exactly which bots are allowed and which are blocked, with an overall access rate percentage. Nearly 80% of top publishers now block at least one AI crawler—but many businesses are blocking the wrong ones by accident.
Schema & Structured Data Gap Analysis
We detect your current JSON-LD schemas, verify whether they're server-rendered, and identify which recommended schemas are missing. More importantly, we check your sameAs links—the connections between your site and platforms like Wikipedia, Wikidata, LinkedIn, YouTube, Twitter, GitHub, and Crunchbase. Missing sameAs links are one of the most common and fixable schema gaps we find, and they directly impact how AI engines understand your brand as an entity.
We check whether your brand has an active presence across YouTube, Reddit, Wikipedia, LinkedIn, and GitHub—each weighted by their impact on AI citation signals. A missing Wikipedia entry isn't just a branding gap; it's a 20% penalty on ChatGPT's ability to recognize your brand as a real entity. This section tells you which platforms to prioritize.
Technical SEO Infrastructure Check
Eight categories—Crawlability, Indexability, Security, URL Structure, Mobile, Core Web Vitals, Server-Side Rendering, and Page Speed—each scored individually. AI crawlers need fast, accessible, well-structured pages. Server-side rendering is particularly critical because many AI crawlers don't execute JavaScript, so client-rendered content is effectively invisible to them.
llms.txt Validation
We check for the presence and proper formatting of your llms.txt file—the emerging standard for communicating with AI agents about your site's content and structure. Think of it as robots.txt for AI models: a way to help GPTBot, ClaudeBot, and other AI crawlers understand what your site offers and how to navigate it.
Prioritized Findings with Impact Estimates
Every issue we discover gets classified as Critical, High, Medium, or Low priority, with estimated score impact (like "+5-8 points") and implementation timelines (Quick fix, 1-2 weeks, 1+ months). I don't just tell you what's wrong—I tell you what to fix first and how much it's likely to move your score.
Executive Summary with Projected Score
Each audit includes a plain-language summary of your site's strengths, weaknesses, and biggest opportunities, along with a projected score range after implementing the priority actions. When I audit a site that scores 88 but could reach 100 with two specific changes, that clarity is what separates a useful audit from a data dump.