Strong AI visibility with 40 of 48 criteria passing. Biggest gap: owned data density.
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Good AEO fundamentals scoring 79/100 with room for optimization. Key strengths include llms.txt File, Schema.org Structured Data, and Q&A Content Format. Priority gaps: Owned Data Density, Image Context for AI, and Methodology Transparency.
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Guides for the criteria with the most room for improvement
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.
AI engines don't read your article top to bottom. They scan headings, grab the first 1-2 sentences underneath, and move on. If those sentences are throat-clearing preamble instead of a direct answer - you just lost a citation to someone who leads with the point.
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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