Weak AI visibility with 12 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
coldreach.ai has a moderate AEO foundation with an overall score of 48/100: strong structured data (10/10), canonical strategy (10/10), and fact density (10/10) are already in place. However, critical machine-consumption gaps remain, including missing llms.txt (0/10), missing RSS/Atom feed (0/10), and missing AI permissions/licensing signals (0/10). Content and page architecture also need improvement, with weak direct-answer formatting (3/10), definition patterns (3/10), and table/list extractability (3/10), plus only 2 internal links and 9 H1 tags on the homepage. The fastest path to higher AI visibility is to add crawler guidance and licensing files, then reformat key pages for answer-first extraction and freshness signaling.
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.
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.
AI engines are citation machines -they need specific facts to quote. A page full of general advice with zero data points gives them nothing to work with.
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.
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