Weak AI visibility with 1 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
automorphic.ai currently shows very low AEO readiness with an overall score of 6/100, driven by 17 of 22 criteria marked MISSING and only one criterion scoring above 2 points. Foundational machine-discovery assets are absent, including llms.txt (404), robots.txt (404), sitemap.xml (404), and ai.txt (missing), which significantly limits AI crawler guidance and content indexing. On-page extractability is also weak: no JSON-LD schema, no H1, no FAQ content, no internal links, and no canonical URL were detected. The site has a valid HTTPS setup and basic meta tags, but it lacks the structural and entity signals needed for strong AI answer inclusion.
Scoreboard
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Top Opportunities
Improve Your Score
Guides for the criteria with the most room for improvement
Tidio has a 251-line llms.txt. Crisp has zero. The score gap: +29 points. This single file tells AI assistants exactly what your site does -and without it, they're guessing.
Tidio runs 4 JSON-LD schema types. Crisp runs zero. That's not a coincidence -it's the difference between a 63 and a 34. Structured data is the machine-readable layer AI trusts most.
AI assistants are question-answering machines. When your content is already shaped as questions and answers, you're handing AI a pre-formatted citation. Sites that do this right get extracted -sites that don't get skipped.
Our site runs 87 FAQ items across 9 categories with FAQPage schema on every one. That's not excessive -it's how we hit 88/100. Each Q&A pair is a citation opportunity AI can extract in seconds.
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We build citation-ready content that AI engines choose as the answer.