Weak AI visibility with 7 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
aventindustrial.com has a workable technical base for AEO, but it is not yet citation-ready for AI engines. Strengths include HTTPS, crawlable text-heavy pages, a valid sitemap with 11 URLs and lastmod fields, consistent entity signals (phone plus Organization schema), and solid internal linking (17 homepage internal links). The biggest blockers are missing machine-readable control and discovery assets (404 for /llms.txt, 404 for /robots.txt, no RSS/Atom feed, no canonical tags), plus thin answer-oriented content signals (only 2 question headings, 1 Q&A pair, 0 definition patterns, and 0 quantitative data points). Overall readiness is constrained by missing foundational AEO files and low extractable factual depth despite decent core site hygiene.
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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.
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.
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.
Same content, three URLs, zero canonical tags. Congratulations -you just split your authority three ways and gave AI crawlers a headache.
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