𝗪𝗵𝘆 𝗜'𝗺 𝗕𝗲𝘁𝘁𝗶𝗻𝗴 𝗼𝗻 𝗗𝗶𝗿𝗲𝗰𝘁𝗼𝗿𝗶𝗲𝘀 𝗮𝗴𝗮𝗶𝗻𝘀𝘁 𝗚𝗼𝗼𝗴𝗹𝗲 𝗔𝗜
Google AI Overviews answer many questions without a click. People type a query and get a list right in the search box. This makes my project look risky.
I run three sites: Top AI Tools, Find Games Like, and Open Alternative To. I launched them in April 2026. My goal is to see if people will click through to my sites instead of just reading the AI summary.
I have a clear bet. By October 2026, at least one site must get 200 organic clicks per month for two months straight. If this fails, I will post my data and admit I was wrong.
AI Overviews are good at summarizing what exists. They are bad at three specific things:
• Attribute filtering: AI gives prose answers. My sites use structured data. You can filter for tools that work offline or have a mobile app. • Negative space: AI usually stays positive. My sites use AI to find reasons to avoid a tool. This helps you skip what you do not need. • Freshness: AI relies on old web mentions. My sites pull GitHub data weekly to show if a project is still active.
I am also targeting the second stage of research. People find a tool via AI, then search for a specific comparison like "Appflowy vs Anytype." That second search needs a verdict and structured data. AI prose often hedges. Structured data wins on specific attributes.
My setup costs only $25 per month. This low cost lets me run this experiment for a year without pressure.
I am watching for three signs of failure:
- High impressions but zero clicks on comparison pages.
- Google AdSense continues to reject my content.
- People stop using search engines for comparisons and move entirely to LLM chats.
I will publish my results in October 2026 with raw screenshots.