Weak AI visibility with 6 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
frigade.com is currently underprepared for AI discovery, with an AEO score of 23/100 and 7 of 22 criteria at zero. Core machine-consumption signals are missing, including llms.txt (404), any JSON-LD schema, direct-answer paragraph structure, and RSS/Atom feeds. The site does show strong canonical hygiene (10/10) and a healthy sitemap footprint (88 URLs, score 7/10), but these strengths are outweighed by missing structured, answer-ready, and freshness signals. Without foundational AEO artifacts, AI systems have limited ability to interpret authority, context, and answer eligibility from the site.
Scoreboard
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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.
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.
Your sitemap says 500 pages exist. Our crawl finds 700. Those 200 missing URLs? AI crawlers will never know they exist.
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