Weak AI visibility with 0 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
exla.ai currently shows low AEO readiness, with an overall score of 6 and foundational machine-readable signals largely absent. The site is technically reachable over HTTPS and returns 200 for both robots.txt and sitemap endpoints, and a dedicated FAQ page is present, but core discoverability assets are missing: no valid /llms.txt, no JSON-LD schema, no canonical tag, and no RSS/Atom feed. Content structure is also thin for AI extraction, with 0 H1 tags, 0 internal links, no list/table structures, and no direct Q&A formatting. In its current state, AI systems can crawl parts of the domain but have very limited structured context to confidently interpret, attribute, and cite content.
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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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