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.