Weak AI visibility with 5 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
knowlify.com has a valid technical base for discovery (HTTPS enabled, robots.txt and sitemap accessible, canonical configured), but overall AEO readiness is low at 17 because core machine-readable signals are missing. The site returns HTTP 404 for /llms.txt and /faq, has zero JSON-LD schema blocks, and provides no explicit AI permission artifacts like /ai.txt. Content structure is also weak for answer extraction, with 0 H1 tags, 0 question headings, no list/table formatting, and only 2 internal links. The strongest signal is factual density (89 quantitative data points), but without sources, schema, and answer-first formatting, citation likelihood remains limited.
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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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