Weak AI visibility with 2 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
tensr.com currently has very low AEO readiness (overall score: 11) because core machine-readable and crawl-governance assets are missing across the stack. The site does serve over HTTPS and has a valid sitemap at HTTP 200, but that sitemap contains only 1 URL and no recent lastmod activity in the last 90 days. Critical discovery and understanding signals are absent, including `/llms.txt` (404), `/robots.txt` (404), all JSON-LD schema (0 blocks, 0 types), and canonical tags. Content is substantial in volume, but structure for AI extraction is weak with 0 internal links, 0 question headings, 0 direct answer pairs, and no list/table formatting patterns.
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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.
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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