Moderate AI visibility with 16 of 22 criteria passing. Biggest gap: rss/atom feed.
Verdict
trigger.dev shows solid AEO foundations with an overall score of 67/100, led by strong technical signals like `llms.txt` (10/10), AI-crawler-friendly `robots.txt` (10/10), canonical strategy (10/10), and schema/HTML quality (mostly 8-9/10). The site is already highly crawlable and machine-readable, with 146 internal links and 100% image alt coverage, which supports extraction and citation reliability. The largest readiness gap is content packaging for answer engines: FAQ architecture (2/10), RSS/Atom (0/10), author/person expertise schema (2/10), AI licensing signals (2/10), and publishing velocity signals (2/10) are all underdeveloped. Closing these gaps would materially improve freshness trust, answer eligibility, and recurring LLM discovery without requiring a full content rewrite.
Scoreboard
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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.
Our site runs 87 FAQ items across 9 categories with FAQPage schema on every one. That's not excessive -it's how we hit 88/100. Each Q&A pair is a citation opportunity AI can extract in seconds.
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.
"What is AEO?" -14% of all AI queries start with "What is." If your content doesn't answer with a clean definition sentence, someone else's will.
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