AEO Score Dashboard
The Challenge
Your site speaks Google. AI speaks a different language.
AI models don't crawl your site the way Google does. They look for structured data, machine-readable context, and explicit permissions. A page that ranks #1 on Google can be completely invisible to ChatGPT if the technical signals aren't there.
Your site was built for Google, not AI
Most websites are optimized for traditional search engines — title tags, backlinks, keyword density. But AI models consume content differently. They look for structured data, clear hierarchies, and machine-readable context. What ranks on Google may be invisible to ChatGPT, Claude, or Gemini.
No llms.txt or AI bot access configured
The llms.txt standard tells AI crawlers what content to index and how to interpret your site. Without it, AI models guess — or skip you entirely. Most sites don't even know this file exists, let alone have it configured correctly alongside robots.txt directives for AI bots.
Missing structured data that LLMs need
AI models rely heavily on Schema.org markup, JSON-LD, and structured metadata to understand what your pages are about. Without proper structured data, LLMs can't confidently extract your product details, pricing, reviews, or company information — so they recommend competitors who do provide it.
No way to measure AI readiness
You can check your Google PageSpeed score in seconds. But there's no equivalent for AI readiness. Without a comprehensive AEO audit, you're flying blind — unable to prioritize fixes, track improvements, or benchmark against competitors.
Capabilities
A complete AI readiness audit for your site
Not a generic SEO checklist with an AI label. A purpose-built audit that checks every signal AI models use to decide whether to crawl, understand, and cite your content.
robots.txt & llms.txt Analysis
Full audit of your robots.txt and llms.txt files. Check if AI crawlers are blocked, if your llms.txt exists and is properly formatted, and whether your directives align with AI indexing best practices.
Schema.org Validation
Deep validation of your structured data markup. Check for missing required properties, deprecated schemas, and opportunities to add markup types that AI models prioritize — like Product, FAQ, HowTo, and Organization.
Content Hierarchy Scoring
Analyze your heading structure, content organization, and semantic HTML. AI models parse content top-down — poor hierarchy means poor comprehension and lower chances of being cited in responses.
AI Bot Accessibility
Verify that AI crawlers from OpenAI, Anthropic, Google, and others can actually access your content. Check for blocks in robots.txt, server headers, JavaScript rendering issues, and authentication walls.
Technical AEO Audit
200+ technical checks covering meta tags, canonical URLs, Open Graph data, response headers, page speed for crawlers, sitemap presence, and every signal that influences how AI models index and cite your content.
Page-by-Page Scoring
Individual AEO scores for every page on your site — not just a site-wide average. Identify your weakest pages, prioritize fixes by impact, and track improvement over time with historical score comparisons.
AEO Score Dashboard
One score that tells you where you stand
Your overall AEO score is calculated from 200+ weighted signals across technical setup, content structure, and AI accessibility. See the breakdown by category — robots configuration, structured data coverage, content quality, and technical health. Each category shows a score, trend, and prioritized list of issues to fix. Compare your score against industry benchmarks to know if you're ahead or behind.
- Overall AEO score with category breakdown
- Industry benchmark comparison
- Score trend tracking over time
- Prioritized fix recommendations
AEO Score Dashboard
Technical Audit
Every technical signal, checked and graded
The technical audit digs into the infrastructure layer that AI crawlers interact with. We check your robots.txt for AI bot directives, validate your llms.txt format and content, audit response headers for crawler-friendliness, verify sitemap accessibility, and test whether your pages render correctly for non-browser clients. Every issue is categorized as critical, warning, or informational so you know what to fix first.
- robots.txt AI bot directive analysis
- llms.txt existence and format validation
- Response header and meta tag audit
- Sitemap and canonical URL verification
Technical Audit
Content Analysis
Structure your content so AI understands it
AI models don't read pages like humans — they parse structure. Our content analysis evaluates your heading hierarchy, paragraph structure, list usage, and semantic HTML to determine how easily an LLM can extract meaningful information. We also score readability, content depth, and whether your pages answer questions clearly enough to be cited in AI responses.
- Heading hierarchy and semantic structure
- Content depth and readability scoring
- Question-answer pattern detection
- Entity and topic clarity analysis
Content Analysis
How It Works
Get your AEO score in three steps
Enter your URL
Paste your website URL and select which pages to audit. Maya auto-discovers your sitemap and suggests high-priority pages to check first.
We scan 200+ signals
Maya audits your robots.txt, llms.txt, structured data, content hierarchy, meta tags, headers, and every technical signal that AI crawlers evaluate — page by page.
Get your score and fix list
Receive a detailed AEO score with a prioritized list of issues to fix. Each recommendation includes severity, impact estimate, and implementation guidance so your team can act immediately.
Who It Helps
Built for teams making their sites AI-ready
SEO Teams
Expand your SEO strategy to cover AI engines. Get concrete data on what AI crawlers see when they visit your site, and add AEO to your optimization workflow alongside traditional SEO.
Dev Teams
Implement technical fixes with confidence. The audit provides specific, actionable recommendations — add this Schema type, fix this robots.txt directive, create this llms.txt file — with code-level guidance.
Content Teams
Understand how to structure content so AI models can parse and cite it. Learn which heading patterns, content formats, and writing styles score highest for AI readability.
Agencies
Run AEO audits for clients and deliver detailed reports showing exactly where each site falls short. Use page-by-page scoring to build prioritized roadmaps and demonstrate measurable improvements.
Frequently asked questions
What is AEO (AI Engine Optimization)?+
AEO is the practice of optimizing your website so that AI models — like ChatGPT, Claude, Gemini, and Perplexity — can effectively crawl, understand, and cite your content. It covers technical configuration (robots.txt, llms.txt), structured data (Schema.org markup), content structure (headings, semantic HTML), and accessibility for AI crawlers. Think of it as SEO, but for the AI search era.
What signals do you check?+
We check over 200 signals across four categories: Technical (robots.txt directives, llms.txt, response headers, sitemaps, canonical URLs, page speed), Structured Data (Schema.org types, JSON-LD validity, required properties, deprecated markup), Content (heading hierarchy, semantic HTML, readability, content depth, question-answer patterns), and Accessibility (AI bot access, JavaScript rendering, authentication walls, crawler blocks).
How is AEO different from SEO?+
SEO optimizes for search engine result pages — rankings, snippets, and click-through rates. AEO optimizes for AI model responses — whether your content gets cited, recommended, or used as a source when someone asks an AI assistant a question. The signals overlap (structured data helps both), but AEO has unique requirements like llms.txt, AI bot accessibility, and content structures that LLMs parse more effectively than traditional search crawlers.
Do you check individual pages or just the homepage?+
We audit individual pages. Every page on your site gets its own AEO score with a detailed breakdown. This lets you identify which pages are AI-ready and which need work. You can prioritize fixes by page importance and impact, rather than guessing from a site-wide average.
How often should I audit my site?+
We recommend running a full audit at least monthly, and after any significant site changes — redesigns, CMS migrations, new page templates, or structured data updates. AI crawling standards are evolving quickly (llms.txt is still a new standard), so regular audits ensure you stay current with best practices and catch regressions early.