usekaya.com
Moderate AI visibility with 36 of 48 criteria passing. Biggest gap: llms.txt file.
SaaS & ProductivityAnalyticsVerdict
Below-average AEO readiness at 58/100 - multiple areas need attention. Key strengths include Schema.org Structured Data, Comprehensive FAQ Section, and Original Data & Expert Analysis. Priority gaps: llms.txt File, RSS/Atom Feed, and Speakable Schema. Topic coherence is 4/10, which caps the overall score at 55. Focusing content on core expertise areas is the single highest-impact improvement.
How to Improve
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.
Generate a comprehensive sitemap with lastmod dates for all important pages.
Top Opportunities10
Ensure 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.
Add more proper nouns throughout content - named sources, organizations, tools, studies, and locations. Cited text averages 20.6% proper nouns; most sites fall well below 15%.
Expand articles to 1000+ words with structured H2/H3 sections, comparison tables, and expert analysis. Thin content (under 300 words) is rarely cited by AI engines. Deep, well-structured articles demonstrate expertise.
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.
Rewrite multi-clause sentences into single-claim statements under 20 words. Pages with Flesch-Kincaid grade 16 outperform grade 19 in citation rates.
Include dateModified schema, visible last-updated dates, and time elements on content pages. Fresh content signals help AI engines prioritize your pages over stale alternatives.
Ensure every question-format heading (H2/H3) is followed by a direct answer paragraph. This pattern is ideal for AI engine snippet extraction.
Establish a regular content publishing cadence with dated entries in your sitemap. Consistent publishing signals to AI engines that your site is an active, current information source.
Shorten sentences to under 25 words, use active voice in lead paragraphs, define jargon inline, and avoid hiding content behind accordions or display:none.
Add a /llms.txt file that describes your site, core services, and key pages in markdown format. This helps AI engines like ChatGPT and Claude understand your site structure and content offerings.
Fix It With AI37
Score Breakdown
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