Weak AI visibility with 0 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
forgejobshop.com has a low AEO readiness profile (overall score: 6) with basic HTTPS and an existing FAQ page as the primary positives. Core machine-readable foundations are missing: no llms.txt (404), no robots.txt (404), no JSON-LD schema blocks (0), and no canonical tag. Content extractability is also weak, with 0 H1 tags, 0 internal links, 0 question headings, and only 45 characters of homepage text detected. Until technical discoverability and structured content signals are implemented, AI engines are unlikely to reliably interpret 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.
AI has a trust hierarchy for sources. At the top: proprietary data and first-hand expert analysis. At the bottom: rewritten Wikipedia articles. We've watched AI preferentially cite sites with original benchmarks -even over bigger competitors.
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