With the rise of AI assistants handling search requests, we’re more aware than ever that something is broken with traditional search results. Beyond authoritative results like Wikipedia, most top links are now long articles seemingly written just to attract search engine bots.

You scroll reluctantly through these results, which are often poorly written by generic AI prompts. Not only do they lack clarity for human readers, but you also waste valuable time trying to filter out what might actually solve your problem.

After several disappointments, you start adding trusted website names to the end of your query — perhaps Stack Overflow for technical questions, or Reddit for benchmarks. However, this habit ends up limiting your results, since traditional search engines aren’t helping you discover truly relevant content anymore.

The problem is just as clear when looking for tutorials about new software tools. Increasingly, marketing teams flood the web with AI-generated articles that are keyword-optimized but often unhelpful for real users.

Even AI assistants themselves aren’t immune. When they access the internet to retrieve information, their answers often become less relevant — not more — than if they simply reasoned without retrieving current web results.

Sadly, this has reduced the number of "eureka" moments people once had while searching the web. Still, with patience and persistence, it’s possible to find hidden gems beyond the closed ecosystems of social media and AI. True enlightenment is out there — sometimes, it just takes a bit more digging.