> I'm curious how people evaluate them quickly.
To paint with a broad brush, I look at three criteria:
1. Infoboxes ("instant answers") should focus on site previews rather than trying to intelligently answer my question. Most DuckDuckGo infoboxes are good examples of this; Bing and Google ones are too "clever".
2. Organic results should be unique; most engines are powered by a commercial Bing API or use Google Custom Search. Compare results with a Bing or Google proxy (duckduckgo, startpage, etc) to avoid personalized results. Monitor queries over time to see if SERPs change in ways that diverge from Google/Bing/Yandex.
3. "other" stuff. Common features I find appealing include area-specific search (Kagi has a "non-commercial lens" mostly powered by its Teclis index; Brave is rolling out "goggles"), displaying additional info about each result (Marginalia and Kagi highlight results with heavy JS or tracking), user-driven SERP personalization (Neeva and Kagi allow promoting/demoting domains), etc.
And always check privacy policies, TOS, GDPR/CCPA compliance, etc.
> Google is now almost a convenience. If I have a coding question, I search for "turn list of tensors into tensor" or whatever but I'm really looking for SO or the pytorch documentation, and I'll ignore the geeksforgeeks and other seo spam that finds it's way it. It's almost like google is a statistical "portal" page,
I like engines like Neeva and Kagi that allow customizing SERPs by demoting irrelevant results; I demote crap like GFG, w3schools, tutorialspoint, dev(.)to, etc. and promote official documentation. Alternatively, you can use an adblocker to block results matching a pattern: https://reddit.com/hgqi5o