Moderate AI visibility with 14 of 22 criteria passing. Biggest gap: rss/atom feed.
Verdict
alaan.com has a solid AEO foundation with an overall score of 57/100, led by strong machine-readability signals such as llms.txt (10/10), structured data (9/10), FAQ coverage (9/10), and fact density (10/10). The biggest blockers are freshness and distribution signals: RSS/Atom is missing (0/10), content freshness is weak (2/10), publishing velocity signals are weak (2/10), and canonical strategy is nearly empty (1/10). Content is extensive and crawlable (129 internal links, 1,077 sitemap URLs), but answer formatting is not yet optimized for AI extraction (0 question headings; content format score 1/10). Prioritizing freshness metadata, canonical consistency, and direct-answer formatting should materially improve answer-engine pickup.
Scoreboard
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Improve Your Score
Guides for the criteria with the most room for improvement
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 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.
You published a great blog post in January. It's now February and nothing else has appeared. AI engines notice -and they're crawling less often because of it.
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.
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We build citation-ready content that AI engines choose as the answer.