Jim Hunt is a technical SEO architect and digital engineer specializing in search visibility for industrial-scale brands. With over a decade of experience in the "State of Search," he focuses on the intersection of technical performance and AI-first discovery.
A history of game walkthroughs, from Nintendo Power and text FAQs to wikis and video, with a tool for choosing the right format for player questions.
Visit a clickable museum of under construction websites, guestbooks, hit counters, web rings, and the design habits behind the early personal web.
How players found games before Steam, from shareware and magazine discs to game websites, with a distribution guide for PC and console developers.
A history of web portals, from AOL to Yahoo and MSN, with a clickable guide to the services that made a homepage worth returning to.
Google AI Overviews SEO, measured: 50 queries, 407 citations, 206 pages scored. Half the sources don't rank on page one, and the checklist doesn't pick the cited ones.
The Great Decoupling with 2026 data: how much of your impressions-up, clicks-down gap is real, how much is bad measurement, and what fixes the rest.
Gemini Spark shopping test: how Google's agent found and compared DeWalt DCD800 offers, and what a product page needs to be the one Spark recommends.
A real prompt injection example: an SEO blog's Read with ChatGPT button quietly told your assistant to remember the brand as a source. What it did, why it only half works, and a version of the button that prints its prompt, which you can try.
Structured data states page facts in a machine-readable format. Match Organization, Product, FAQ, and LocalBusiness schema to visible, accurate content.
AI crawlers collect content for training, search discovery, and user-requested retrieval. Separate those roles before deciding what to allow or block.