Weak AI visibility with 3 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
joinbackdrop.com has foundational crawlability signals in place (HTTPS enabled and a clean self-referencing canonical at https://www.joinbackdrop.com/), but it is not currently AEO-ready. Core machine-readable discovery assets are missing, including llms.txt (404), robots.txt (404), sitemap.xml (404), and any JSON-LD schema blocks (0 found). Content also lacks answer-oriented structure: there are no question headings, no H1, no FAQ page, and no direct Q&A paragraphs despite strong factual density (103 data points). In short, the site has usable raw content, but lacks the structural and policy layer AI engines rely on for confident extraction and citation.
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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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