Moderate AI visibility with 33 of 48 criteria passing. Biggest gap: speakable schema.
Verdict
Below-average AEO readiness at 50/100 - multiple areas need attention. Key strengths include llms.txt File, Schema.org Structured Data, and Clean, Crawlable HTML. Priority gaps: Speakable Schema, Query-Answer Alignment, and Image Context for AI. Topic coherence is 4/10, which caps the overall score at 55. Focusing content on core expertise areas is the single highest-impact improvement.
How to Improve
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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.
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.
AI engines increasingly prioritize content from people who have direct experience with their topic. Generic "top 10 best" listicles written from secondhand research score poorly. Pages with specific actions taken, limitations discovered, and numeric results earned score well. First-Hand Experience Signals measure whether your content shows evidence of real-world involvement.
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