Moderate AI visibility with 15 of 22 criteria passing. Biggest gap: rss/atom feed.
Verdict
Tableflow.com shows solid AEO foundations with an overall score of 67/100, anchored by strong technical discoverability signals like llms.txt (10/10), robots.txt AI crawler access (10/10), schema implementation (10/10), and fact density (10/10). Crawlability and coverage are also healthy, with 69 sitemap URLs, 69 lastmod dates, and 10 pages updated in the last 90 days. The biggest drag is on machine-trust and answer packaging gaps: no canonical tags (0/10), no RSS/Atom feed (0/10), no AI permissions/licensing signals (0/10), and weak extractability formats such as tables/lists and definitions (3/10 each). Closing these gaps should materially improve how reliably LLMs select, cite, and reuse Tableflow content.
Scoreboard
Fix It With AI
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Top Opportunities
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 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.
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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