Google Keywords for AI Apps 2026

There has never been a faster time to build something — and there has rarely been a worse time to build something nobody asked for. A founder skilled at shipping an AI app over a weekend and a founder who has never once confirmed whether a real person was searching for the problem it solves are not the same founder. Most builders are the second kind, and most have never set up the infrastructure that would tell them the difference. This book is built around a real evidence base, not theory. A book targeting an extremely high-volume, high-intent search phrase in its category produced essentially no meaningful sales. A second, much quieter book on a modest, specific keyword reached 45 copies in one measured month, then 100 the following month, and over 300 copies in a later 30-day period — after little to no activity in its earliest months. Search volume predicts approximate demand. It does not predict whether the format being offered matches what the searcher actually wants, or how performance changes over real time. The chapters cover: the history of search and keyword tools, why search volume is not a sales forecast, how to match keyword intent to the right format (instant-answer vs. ongoing-process queries), Google Search Console setup and actual use, Keyword Planner and real research process, Bing Webmaster Tools (now relevant because Bing's index underpins Microsoft Copilot and AI-assisted tools), and Answer Engine Optimization — getting cited rather than just ranked. Thirty-nine pages. Every platform mechanic and case figure checked against current documentation. Written by Pop Buchanan. Verified through July 2026.