GEO by Engine: How ChatGPT, Claude, Gemini, and Perplexity Really Decide What to Say

Neil Patel's GEO by Engine analysis reveals that ChatGPT, Claude, Gemini, and Perplexity each apply distinct geographic filtering rules, meaning the same query can return different answers depending on the user’s IP location and the model’s internal “geo‑by‑engine” logic. For website owners, this granular geo‑filtering translates into variable AI‑bot traffic patterns. A single piece of content may be indexed by a Claude‑based crawler in Europe but ignored by a Gemini‑driven bot in North America, leading to uneven visibility and skewed analytics. Moreover, the divergent handling of regional data privacy (e.g., GDPR compliance in Claude versus looser standards in Perplexity) can affect how bots store or transmit user data from your site. **Actionable tips:** 1. **Update your llms.txt** to explicitly list the four engines (ChatGPT, Claude, Gemini, Perplexity) and specify allowed/disallowed paths per region, ensuring compliant bots can crawl while unwanted traffic is blocked. 2. **Implement geo‑aware bot detection** using IP‑based lookup services; flag visits from known AI‑search endpoints and segment them in your analytics to avoid contaminating human traffic metrics. 3. **Monitor engine‑specific crawl rates** via server logs; set rate‑limiting rules in your web server or CDN for each engine’s user‑agent to prevent overload during peak regional searches.