Moderate AI visibility with 12 of 22 criteria passing. Biggest gap: content freshness signals.
Verdict
alloy.app shows a mixed AEO profile with a 56/100 overall score: strong technical foundations are in place, but answer-format and authority signals are underdeveloped. Core machine-readable assets perform well, including llms.txt (10/10), Schema.org coverage (10/10), canonical strategy (10/10), and sitemap completeness (9/10 with 129 URLs and lastmod fields). The largest visibility gaps are in crawler governance and freshness, with robots.txt for AI crawlers at 2/10, Content Freshness Signals at 0/10, and RSS/Atom Feed at 0/10. Content quality for AI extraction is also constrained by weak Q&A formatting (2/10), limited fact density (2/10), and minimal expert-backed original analysis (1/10).
Scoreboard
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Improve Your Score
Guides for the criteria with the most room for improvement
Your homepage has perfect JSON-LD. Your other 200 pages? Zero. Here's how we measure the gap -and why AI engines judge your whole domain by it.
Sitemaps tell crawlers what exists. RSS feeds tell them what changed. If you don't have one, your new content waits days -or weeks -to be discovered.
AI has a trust hierarchy for sources. At the top: proprietary data and first-hand expert analysis. At the bottom: rewritten Wikipedia articles. We've watched AI preferentially cite sites with original benchmarks -even over bigger competitors.
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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We build citation-ready content that AI engines choose as the answer.