Weak AI visibility with 1 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
acrely.ai has a minimal technical foundation for discoverability (HTTPS is enabled, homepage text is accessible, and title/meta description are present), but overall AEO readiness is low. Core machine-readable assets are missing, including `llms.txt` (404), `robots.txt` (404), `sitemap.xml` (404), and JSON-LD blocks (`schema_block_count: 0`). Content is not structured for AI extraction, with no H1, no FAQ page (`/faq` 404), no question headings, no lists/tables, and zero internal links. The current setup can be indexed at a basic level, but it lacks the explicit signals AI engines use for confident citation and entity understanding.
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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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