AI Search Insights
Analysis of how generative engines pick sources, written by Hitesh Lamba for brands that want to be cited.
These AI search insights explain how ChatGPT, Perplexity, Gemini, and Google AI Overviews choose the brands they cite, and what that means for SaaS founders, D2C brands, and growing companies. Start with SEO vs GEO for the big picture, then read the shorter guides on generative engine optimization, answer engine optimization, Google AI Overviews, AI SEO, and ranking in ChatGPT. When you want the work done, the 45-day AI Search Sprint and the AI Search Readiness Kit are the two ways to start.
Insight articles
- SEO vs GEO vs AEO: How Traditional Search and AI Search DifferHow ranking in Google differs from being cited by ChatGPT, Perplexity, and Google AI Overviews, and what to fix first.
- How AI Search Engines Verify Brand Trust and AuthorityThe schema, community signals, and entity data AI engines check before they cite a brand.
- Why Search Results Shift Across Devices and AI QueriesWhy one brand ranks differently by device, location, and phrasing, and why share of voice replaces rank checks.
- GEO Timelines: When AI Search Results Start to ShowThe two-phase curve from day 1 to month 4, and what to measure at each stage.
AI search guides
What do these AI search insights cover?
AI search insights cover how generative engines such as ChatGPT, Perplexity, and Google AI Overviews decide which brands to cite, how that differs from ranking in classic Google results, and how long it takes for changes to show. The articles here explain trust signals, result shifts across devices, and realistic timelines. To act on them, compare the AI Search Sprint and the Organic Revenue Engine or read who writes these insights.