𝗪𝗵𝘆 𝗜 𝗮𝗺 𝗯𝗲𝘁𝘁𝗶𝗻𝗴 𝗼𝗻 𝗱𝗶𝗿𝗲𝗰𝘁𝗼𝗿𝗶𝗲𝘀 𝗼𝘃𝗲𝗿 𝗚𝗼𝗼𝗴𝗹𝗲 𝗔𝗜
Google AI Overviews answer most questions without a click.
If you search for "best AI tools for video editing," Google gives you a list right on the search page. This makes many people think directories are dead.
I disagree.
I launched three sites: Top AI Tools, Find Games Like, and Open Alternative To. I run them for $25 a month. I am testing a specific bet.
My bet: By October 2026, at least one site will get 200 organic clicks per month from specific comparison or filtered searches.
If this fails, I will publish my data and admit I was wrong.
Why do directories still work? AI Overviews are good at summarizing, but they fail in three areas:
• Attribute filtering: If you need a tool that works offline and has a mobile app, a directory lets you click a box to find it. AI gives you a long paragraph instead.
• Negative space: My sites tell you who to avoid. AI tends to stay positive and helpful, which misses people looking for reasons to skip a tool.
• Freshness: My system checks GitHub every week. I can see if a tool is actually maintained. AI relies on old web mentions and often misses when a project dies.
I am also targeting the "second step" of research.
People use AI to find a list. Then, they search for a specific comparison, like "Appflowy vs Anytype." That second search has high intent. They want a verdict, not a summary.
Here is how the two compare:
• Discovery: AI wins. Directories lose. • Comparison: Directories win. AI hedges. • Filtered browsing: Directories win. AI uses prose. • Freshness: Directories win. AI lags.
I am running this as a low-cost experiment. If the data shows high impressions but zero clicks, I will pivot.
I am not looking for easy wins. I am looking for where structured data beats generative text.
Optional learning community: https://t.me/GyaanSetuAi