Earlier quoted context omitted.
A counter example to this is that I asked it about NovaMin® 5 minutes ago and it essentially told me to not bother and buy whatever toothpaste has >1450 ppm fluoride.
Such is the nature of probabilistic systems. Generally speaking, LLMs read the top N search results on the topic in question and uncritically summarize them in their answer. Emphasis on uncritically , therefore the quality of LLM answers is strongly correlated with the quality of top search results. Relevant blog post: https://housefresh.com/beware-of-the-google-ai-salesman/
GPT-4o and most other AI-assisted search systems in the past worked how you describe: they took the top 10 search results and answered uncritically based on those. If the results were junk the answer was too.
GPT-5 Thinking doesn't do that. Take a look at the thinking trace examples I linked to - in many of them it runs a few searches, evaluates the results, finds that they're not credible enough to generate an answer and so continues browsing and searching.
That's why many of the answers take 1-2 minutes to return!
I frequently see it dismiss information from social media and prefer to go to a source with a good reputation for fact-checking (like a credible newspaper) instead.