How GPT Results Differ from Google Search

The Complete LLM-SERP Overlap Study

Download our groundbreaking research analyzing 18,377 queries to reveal how LLM citations fundamentally differ from traditional search rankings. Essential insights for modern SEO strategy.

Domain vs. URL-level overlap analysis

Model-by-model comparison (GPT, Perplexity, Gemini)

Strategic recommendations for LLM optimization

Real data from a 2-month study period

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What’s Inside

The Research

Comprehensive analysis of 18,377 semantically matched query pairs across Perplexity, GPT-4, and Gemini.

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The Proof

Hard data revealing why URL-level overlap remains consistently low across all models.

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Your Action Plan

Actionable recommendations for optimizing content for both traditional search and LLM systems.

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Three out of four pages that LLMs cite don't even rank in Google's top results. Your competitors are getting cited while you're invisible to ChatGPT. This study shows exactly why—and how to fix it.

Manick Bhan CEO & Founder, Search Atlas

Manick Bhan

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