Which GEO tactics have evidence behind them, and which are still speculation.

The best free resources

1. Does LLMs.txt impact your AI visibility and citations? No, according to research — Yulia Deda, SE Ranking (2025-11, upd. 2026-10-15)
   ~300k domains: no measurable llms.txt effect on citations.

2. AI Traffic Conversion Rates: Are They Really 7x Better? — Marianna Mankle, Siege Media (upd. 2026-06-30)
   78 sites' GA4: AI converts 1.26x organic, not the hyped 3–7x.

3. GEO Experiments 2026: What We Tested, What Failed, and What Actually Works — Thomas Peham (OtterlyAI), Speaker Deck (brightonSEO) (2026-04-29)
   Dozens of tests: what worked (PR, YouTube) and failed (llms.txt, markdown).

4. AI Search Has a Citation Problem — Klaudia Jaźwińska, Aisvarya Chandrasekar, Columbia Journalism Review (Tow Center) (2025-03-06)
   Eight AI search tools tested; wrong citations in over 60% of queries.

5. Evaluating Verifiability in Generative Search Engines — Nelson F. Liu, Tianyi Zhang, Percy Liang (Stanford), arXiv / EMNLP Findings 2023 (2023-04, rev. 2023-10)
   Classic audit: only ~74.5% of citations support their sentence.

6. What Evidence Do Language Models Find Convincing? — Alexander Wan, Eric Wallace, Dan Klein (Berkeley), arXiv / ACL 2024 (2024-02, rev. 2024-08)
   LLMs weigh relevance, ignore references and neutral tone humans value.

7. Manipulating Large Language Models to Increase Product Visibility — Aounon Kumar, Himabindu Lakkaraju (Harvard), arXiv (2024-04, rev. 2024-09)
   Shows LLM product recommendations can be gamed; key ethics context.

Curated by effectiveGEOstrategy.com. Every link checked 2026-11-10. Know a better free resource? Tell us.