This one is from inside the house. Andrew, our resident SEO nerd at Product Hunt, wanted to know why AI assistants were barely mentioning us when people asked for tool recommendations, even though our pages rank well on Google and have real reviews and discussions. So he treated AI visibility like a new search channel, used Gauge to track how often models like ChatGPT and Google AI Overview cite Product Hunt, and picked one test case: AI dictation tools.
The team turned that category into a proper roundup, added community-sourced FAQs, and cleaned up the SEO so it matched how people actually search speech to text. Those small changes led to big jumps in citations and made Product Hunt a meaningful source of AI visibility for tools like Wispr Flow and Superwhisper, sometimes from a single URL. The bigger point: AI results are easy to game right now, but solid content plus smart SEO can still move the needle. The case study walks through the experiments, the graphs, what worked, what didnβt, and how weβre thinking about AI as a new distribution layer for makers.