Weak AI visibility with 1 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
attimet.com has minimal AEO readiness, with an overall score of 7 and only a few foundational signals in place. The site is served over HTTPS and includes quantitative claims (11 data points), but critical machine-readable discovery assets are missing, including `llms.txt` (404), `sitemap.xml` (404), and any JSON-LD schema (0 blocks, 0 types). Core content extraction signals are also absent, with no H1, no question-answer formatting, no FAQ page (`/faq` returns 404), and zero internal links from the homepage. While `robots.txt` is present (200), it currently blocks key AI crawlers (`gptbot`, `claudebot`), which significantly limits AI visibility.
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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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We build citation-ready content that AI engines choose as the answer.