Weak AI visibility with 5 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
sandra-ai.com has a solid technical baseline for discoverability (HTTPS, valid robots.txt, valid sitemap XML, and a correct self-referencing canonical), but it is not AEO-ready in its current state. The largest blockers are missing machine-readable guidance and structure: `/llms.txt` returns 404, no JSON-LD schema is present, and `/ai.txt` is missing. Content is extensive and data-rich (143,797 text characters and 125 quantitative data points), yet extraction signals are weak due to zero question headings, zero direct Q/A pairs, no H1, no `<main>`, and no freshness metadata. Overall, the site has strong raw content potential but needs foundational AI-facing architecture before it can consistently earn citations in AI answers.
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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.
Sitemaps tell crawlers what exists. RSS feeds tell them what changed. If you don't have one, your new content waits days -or weeks -to be discovered.
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