Weak AI visibility with 0 of 23 criteria passing. Biggest gap: llms.txt file.
SaaS & ProductivityProject ManagementVerdict
usecandor.ai scores a 6/100 on AEO readiness, placing it in the lowest tier of AI discoverability. Of 23 criteria evaluated, 14 scored zero (MISSING) and none achieved full marks. The site lacks foundational elements — no llms.txt, no structured data, no canonical URLs, no semantic HTML landmarks — meaning AI engines have almost no structured signal to extract or cite. The lone bright spot is an existing FAQ page (score 3), but even that lacks FAQPage schema markup, leaving its value largely invisible to answer engines.
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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.
Most AI crawlers don't run JavaScript. If your content loads after page render -behind accordions, SPAs, or API calls -you're invisible. We've seen entire FAQ sections vanish from AI's perspective because of one accordion widget.
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