Strong AI visibility with 21 of 22 criteria passing. Biggest gap: content publishing velocity.
Verdict
aeocontent.ai is highly AEO-ready with a strong technical foundation: HTTPS is enabled, llms.txt and ai.txt are present, robots.txt explicitly allows major AI crawlers, and the homepage contains rich structured data (7 JSON-LD blocks across types like Organization, FAQPage, Service, HowTo, WebSite, WebPage, and BreadcrumbList). Content is also extraction-friendly, with 22 question-format headings, 20 question-answer pairs, and semantic HTML/accessibility signals that are consistently implemented. The main gaps are trust and recency signaling: sitemap lastmod values are uniform across all 941 URLs on 2026-02-22, case studies lack quantified outcomes, and many facts are uncited. Closing those credibility and freshness gaps would materially improve citation likelihood in AI-generated answers.
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Guides for the criteria with the most room for improvement
AI-evaluated measurement of whether your content goes deep enough for engines to treat you as a primary source -not just a page that technically exists.
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.
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.
Same content, three URLs, zero canonical tags. Congratulations -you just split your authority three ways and gave AI crawlers a headache.
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