This is why I use SearXNG; locally hosted on a container. It collates and sorts out the crap from all the engines at once. I get a useful list of results normally. My personal instance is configured to shotgun several engines at once and uses Wolfram Alpha or Wikipedia for informational boxes over other engines; if those services present a result.
My experience:
Infobox (if applicable), Source is reliable; usually Wolfram Alpha or Wikipedia. May not always be immediately relevant but it’s usually a close enough match.
Most relevant results (3 to 7 of them)
Relevant results containing any terms (Many)
Less relevant results (Usually on page 2 or 3 by this time)
Nonsensical results; may be slightly relevant (Usually you’re 7 to 10 pages deep by then)
Ad
Ad
Ad
Series of AI generated answers
Ad
Article from site you’ve never heard of that is filled with ads
Article from a local city you’ve never heard of
Article written by AI that contains 3 sentences and then ads
Ad
Actual good source article for different topic
Reddit post about topic
Wikipedia
Ad
Next page?
Because the font was so similar with “Ad” I was instinctively rolling my eyes and scrolling past your comment before I realized it was a comment LOL.
Effective!
This is why I use SearXNG; locally hosted on a container. It collates and sorts out the crap from all the engines at once. I get a useful list of results normally. My personal instance is configured to shotgun several engines at once and uses Wolfram Alpha or Wikipedia for informational boxes over other engines; if those services present a result.
My experience:
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