Moderate AI visibility with 27 of 48 criteria passing. Biggest gap: speakable schema.
Verdict
Below-average AEO readiness at 51/100 - multiple areas need attention. Key strengths include llms.txt File, Internal Linking Structure, and Fact & Data Density. Priority gaps: Speakable Schema, Query-Answer Alignment, and Evidence Packaging.
How to Improve
Top Opportunities10
Fix It With AI42
Score Breakdown
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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 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.
AI can't see your images. It reads the markup around them. A product photo with alt="image1.jpg" tells AI nothing. A figure with a descriptive figcaption and 8-word alt text tells AI exactly what it's looking at - and that context feeds directly into citation decisions.
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