Google Search algorithms look for

[hasan018542]

I can nitpick this answer, but all in all, it’s pretty good, and it’s a much more complete answer than an excerpt from a website. The GPT-3 engine has essentially summarized multiple sources. It’s easy to see how this could start to make Google nervous. Trust and the attribution problem On the surface, GPT-3 (and especially ChatGPT) can return some pretty human-looking responses. Putting aside ethical questions (including plagiarism and bias, which I’ll cover briefly later), there are some serious practical problems.


The Google “answer” has one major advantage: attribution. We mobile phone number database can easily go to the source page. This not only provides us more information, but it provides more context, including details about the source itself. Those details can help us trust (or, in some cases, distrust) the answer. Consider, for example, another answer GPT-3 returned for the question above: How does Google search work? Google Search works by using a combination of algorithms and programs to analyze the content of web pages and other online content to determine its relevance to a user's search query.

a variety of factors, including keyword density, freshness, and the number of other sites that link to the page. Google also uses artificial intelligence and machine learning to improve its search results. This answer also sounds plausible, except that most SEOs would cringe at the mention of keyword density (underlining added by me), widely considered a myth. It’s entirely possible that this piece of information came from an entirely different source, but without attribution, we can’t validate it.