Moderate AI visibility with 36 of 48 criteria passing. Biggest gap: speakable schema.
Verdict
Below-average AEO readiness at 53/100 - 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 moderate at 5/10, capping the score at 60. Tighter topical focus would lift this ceiling.
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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 distrust content that makes claims without explaining how those claims were derived. "Our product is rated #1" means nothing without methodology. "We tested 12 platforms over 6 weeks using 4 criteria" means everything. Methodology Transparency measures whether your content shows the process behind its conclusions.
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