Testing llms.txt vs. AI Info Pages: GEO Quick Wins or Waste of Time?

Seer Interactive's test of llms.txt vs. AI info pages found the llms.txt files failed to perform across several parameters, scoring 0 / 2 in formal client tests and delivering almost no citation PR benefit. For website owners, this result signals that simply adding an llms.txt file is not a guaranteed geo‑targeting shortcut. The study showed that search engines and AI crawlers still prioritize substantive on‑page AI information—such as dedicated AI info pages—over a bare llms.txt declaration when evaluating relevance and authority. Consequently, sites that rely on llms.txt alone may see negligible improvements in organic traffic, local visibility, or AI‑related citation metrics, especially in competitive niches. **Actionable tips:** 1. **Audit your llms.txt** – ensure it contains accurate, up‑to‑date model identifiers and usage policies; otherwise, remove it to avoid a false sense of SEO gain. 2. **Create dedicated AI info pages** – outline the AI models you use, their purposes, and compliance details; link these pages from your main navigation and include schema.org AI‑Model markup. 3. **Monitor AI bot traffic** – use llmscentral.com’s bot‑tracking dashboard to compare visits from AI crawlers to those from human users, adjusting your AI content strategy based on real engagement data.