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GEO Best Practices, Ranked by Evidence

Generative engine optimization best practices for getting cited by ChatGPT, Perplexity, and AI Overviews — evidence-scored, community-ranked.

  1. 85% of brand mentions in AI answers come from external sites (AirOps); McKinsey: own site in only 5-10% of citations; $30K-marketing r/DigitalMarketing case: client with forum/Zillow mentions beat agency with owned channels

    How to implement →
    GEOLarge study
  2. Perplexity: 46.7% Reddit; ChatGPT: 47.9% Wikipedia; AI Overviews: Reddit 21%/YouTube 18.8%/Quora 14.3%/LinkedIn 13% (Profound 10M); ChatGPT cut Reddit ~60%->10% in one month (Semrush 100M)

    How to implement →
    GEOLarge study
  3. Run a fixed 20-40 query set weekly across engines, repeat runs and average (LLM nondeterminism); tools (Semrush, Profound, Ahrefs) are directional only - '17% mention share with no error bars is astrology' (r/AEO SWE)

    How to implement →
    GEOCommunity-tested
  4. 1,885 treated vs 4,000 control pages: AIO -4.6%, AI Mode +2.4% (ns), ChatGPT +2.2% (ns); Google: no special schema needed. Keep schema for rich results/entity disambiguation only; note one practitioner claims HowTo 1.7x - unreplicated

    How to implement →
    GEOLarge study
  5. Ahrefs 137K domains: 97% of llms.txt files got ZERO traffic in May 2026, 96% of remaining fetches were bots; no AI bot ever requests a missing one; Google lists it as a myth. Only real use: docs for AI coding tools (Claude-Code = #2 fetcher)

    How to implement →
    GEOOfficial guidance
  6. Viral 'a16z declared SEO dead + here's my mega prompt' posts (200K+ views) sell prompts/files that do nothing; every serious study shows SEO fundamentals drive AI visibility; AI tools are ~2% of referral traffic vs search 24% (SimilarWeb Jan 2026)

    How to implement →
    GEOX/TwitterPractitioner claim

Browse all disciplines on the full best-practices ranking.