Weak AI visibility with 11 of 22 criteria passing. Biggest gap: rss/atom feed.
Verdict
superkalam.com shows partial AEO readiness with an overall score of 43/100: foundational crawlability is present, but answer-optimized content and machine-readable trust signals are underdeveloped. The strongest signal is llms.txt at 10/10 (5,667 characters with structured headings and key URLs), supported by sitemap completeness at 8/10 and fact density at 8/10 (64 quantitative data points). However, core discoverability and answer eligibility gaps remain, including Schema.org at 3/10, Q&A content format at 1/10, canonical strategy at 0/10, RSS/Atom at 0/10, and AI permissions at 0/10. With targeted structural and governance fixes, this domain can move from partially indexable to consistently citable in AI answers.
Scoreboard
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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 engines are citation machines -they need specific facts to quote. A page full of general advice with zero data points gives them nothing to work with.
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.
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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