Moderate AI visibility with 31 of 48 criteria passing. Biggest gap: speakable schema.
Healthcare & Patient AdvocacyHospital & Health CareVerdict
Below-average AEO readiness at 51/100 - multiple areas need attention. Key strengths include llms.txt File, Schema.org Structured Data, and Internal Linking Structure. Priority gaps: Speakable Schema, Content Cannibalization, and Evidence Packaging.
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Guides for the criteria with the most room for improvement
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 have three pages about "live chat pricing." AI doesn't know which one to cite - so it cites none. Content cannibalization is when your own content competes with itself, splitting the authority signal and confusing AI engines.
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.
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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