Weak AI visibility with 7 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
sf-tensor.com has a solid technical foundation for discoverability, with HTTPS enabled, a valid sitemap (200) containing 12 URLs, and strong recent update velocity (10 pages updated in the last 90 days). However, AEO readiness is currently low because core machine-readable signals are largely missing: `/llms.txt` returns 404, no JSON-LD schema types were detected (schema_block_count: 0), `/faq` returns 404, and no canonical tag is present. Content extractability is also weak for answer engines, with zero question headings, no lists or tables, and no direct Q&A formatting. The site can improve quickly by adding structured data, answer-oriented content blocks, crawler guidance, and citation-friendly factual content.
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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.
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.
AI has a trust hierarchy for sources. At the top: proprietary data and first-hand expert analysis. At the bottom: rewritten Wikipedia articles. We've watched AI preferentially cite sites with original benchmarks -even over bigger competitors.
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