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Server logs are the most direct way to see why AI search visibility underperforms. Peec’s guide (full guide, Jun 2026) sets the check order:
  1. Crawlability first. A bot blocked in robots.txt cannot help you, no matter how good the page is. Rule access out before tuning anything downstream.
  2. All three bot types present — training, search, and user-query bots each map to a different visibility stage; a missing type names the gap. See AI bot types.
  3. Cross crawls against citations. The real insight comes from combining how often bots request a page with whether it shows up as a source.
A page crawled often but rarely cited points to one of three different problems, each with a different fix (Jun 2026 guidance):
  • Technical: bots reach the page but heavy JavaScript blocks clean parsing.
  • Content quality: accessible, but LLMs choose not to include it.
  • Prompt-tracking gap: the page performs well on prompts you are not tracking — broaden coverage using the topics the crawled page covers.
Also check where bots land, not just how often: bots hitting only the homepage and top-level pages signal a crawl-depth or internal-linking issue — a page that never appears in logs cannot be fixed by content tuning. Source: Why server logs are crucial for AI search strategy, Peec (Tomek Rudzki), Jun 2026.