Weak AI visibility with 23 of 48 criteria passing. Biggest gap: llms.txt file.
Healthcare & Patient AdvocacyHome Health CareVerdict
Critical AEO gaps at 40/100 - rubitection.com is largely invisible to AI engines. Key strengths include Canonical URL Strategy, Answer-First Placement, and Duplicate Content Blocks. Priority gaps: llms.txt File, Speakable Schema, and Query-Answer Alignment. Topic coherence is 2/10, which caps the overall score at 45. Focusing content on core expertise areas is the single highest-impact improvement.
How to Improve
Top Opportunities10
Fix It With AI44
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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.
Voice assistants need to pick which paragraph to read aloud from your page. Without Speakable markup, they guess -and they frequently guess wrong, reading your cookie notice.
You wrote a 3,000-word guide on "customer support automation." But people ask AI "how do I reduce support ticket volume?" If your content doesn't match the actual queries, AI can't connect the dots.
A statistic without a source is a liability. A claim without attribution is invisible. We track evidence packaging across every audit and the pattern is clear - sites that cite their sources get cited by AI. Sites that state facts without attribution get skipped.
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