Weak AI visibility with 0 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
tryegress.com is currently not AEO-ready, with an overall score of 3 and foundational discoverability signals missing across technical, semantic, and content layers. The site does serve over HTTPS and includes a title/meta description, but critical machine-readable assets are absent: `llms.txt` (404), `robots.txt` (404), `sitemap.xml` (404), and any JSON-LD schema (`schema_block_count: 0`). Content is too thin for reliable AI extraction (`homepage_text_length: 431`), with no H1, no direct Q&A structure, and minimal internal linking (`internal_link_count: 1`). Until these baseline signals are implemented, AI engines are less likely to confidently parse, rank, or cite the site.
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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.
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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