What exactly this criterion covers
This criterion seems “simple”, but it creates many discrepancies in production.
**M5 — llms.txt File** (Chapter 14 - GEO & AEO): Root file to guide AI bots (equivalent to robots.txt for LLMs)
This criterion seems “simple”, but it creates many discrepancies in production.
The **M5 — llms.txt File** criterion is part of our SEO checklist (335 criteria). Here, you have a **practical** method to check and fix it — with a concrete example.
This criterion seems “simple”, but it creates many discrepancies in production.
**M5 — llms.txt File** (Chapter 14 - GEO & AEO): Root file to guide AI bots (equivalent to robots.txt for LLMs)
Why it matters: it is a UX point that eventually translates into SEO. When poorly applied, we often observe: ambiguity (wrong associated query), duplication between pages, or loss of performance on Core Web Vitals.
On volume-generated sites, this criterion also serves as a **safeguard**: a stable rule prevents 1,000 errors at once.
Approach: validation via Search Console (real data). Recommended tool: **Google Trends**.
Tip: first isolate 10 “representative” URLs (top pages + generated pages) before scaling the fix.
Strategy: repair, re-crawl, and monitor in Search Console.
Then: re-crawl 50–200 URLs, then monitor Search Console for 7–14 days (impressions/CTR/indexing).
Example (illustrative):
Applying an automatic pattern that is too generic (same logic on all pages) without adding a differentiating element.
For this type of criterion, a crawl (e.g., Screaming Frog) + targeted verification in Google Trends is usually the fastest combo.
Freeze an auto-generation rule (title/structure/schema/URLs) + add automatic control (crawl or test) before production import.
Validate this criterion with an audit, then deepen the method in the Academy.