Weak AI visibility with 3 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
linkgrep.com is currently at an early AEO maturity level with an overall score of 14/100, driven by broad foundational gaps across discoverability, structured data, and answer formatting. The audit found 13 of 22 criteria at 0, including llms.txt (404), structured data, FAQ coverage, freshness signals, canonical tags, and schema depth. There are a few positives to build on: Clean Crawlable HTML scored 7, robots.txt scored 5 with a sitemap reference, and Definition Patterns scored 5, indicating some extractable framing exists. The immediate path to improvement is to add machine-readable governance files and schema, then expand content architecture for direct-answer retrieval.
Scoreboard
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Improve Your Score
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.
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.
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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