Moderate AI visibility with 40 of 53 criteria passing. Biggest gap: llms.txt file.
Verdict
Moderate AEO readiness at 64/100 with significant gaps to address. Key strengths include Q&A Content Format, Internal Linking Structure, and Sitemap Completeness. Priority gaps: llms.txt File, Content Licensing & AI Permissions, and Speakable Schema.
How to Improve
1 sampled page(s) carry a noindex directive
Add a machine-readable llms.txt file at your domain root that describes your site, services, and key pages for AI engines.
Create a comprehensive llms-full.txt with detailed page descriptions, content summaries, and topic taxonomy.
Update robots.txt to explicitly allow AI crawlers and include sitemap directive.
Implement hreflang tags and lang attributes so AI engines serve the correct language version when answering queries.
Minimize blocking scripts and stylesheets in <head> to improve content availability for AI crawlers.
Trim oversized HTML, excessive DOM nodes, and large inline payloads that slow AI crawlers.
Ensure clean, well-structured HTML with proper meta tags, HTTPS, and parseable content for AI crawlers.
Optimize compression, cache headers, redirect chains, and HTML payload size for faster AI crawler access.
Top Opportunities10
View allEnsure blog content consistently covers your core expertise areas rather than scattering across unrelated topics. AI engines build authority models - a site about "Medicare coverage" that also publishes about humidifiers and groceries dilutes its topical authority.
Write 20-25 word self-contained answer sentences immediately after each H2 heading. 72.4% of AI-cited posts use this pattern - it gives engines a ready-made snippet to quote.
Show direct use, testing, implementation, or lived experience with concrete observations, examples, screenshots, and lessons learned.
Use HTML tables for comparison data and ordered/unordered lists for features, steps, and specifications. Structured data formats are directly extractable by AI engines for answers.
Include "our analysis", "our data", "our testing" phrases backed by original research or proprietary data. 52.2% of AI-cited posts contain owned data signals.
Rewrite multi-clause sentences into single-claim statements under 20 words. Pages with Flesch-Kincaid grade 16 outperform grade 19 in citation rates.
Add inline citations to external sources, "According to [Source]..." attribution phrases, and a Sources section at the end of key articles.
Create an /ai.txt file specifying AI usage permissions and add license schema to your structured data. Clear licensing signals help AI engines understand how they can use your content.
Ensure every question-format heading (H2/H3) is followed by a direct answer paragraph. This pattern is ideal for AI engine snippet extraction.
Include clear definition patterns ("X refers to...", "X is defined as...") for key terms and concepts. Definition-style content is highly citable by AI engines answering "what is" queries.