Google Integrates Core Search Signals Into AI Overviews & AI Mode

"And I think one thing we try to do is we've integrated all of the core search kind of signals into these AI experiences. And so when it's kind of recommending or giving you Overviews, it's using information and linking to information that others have found very helpful for that question in the past. And it's possible that there's all kinds of reasons why it can make small mistakes."

"This helps Google provide more useful and helpful responses to users in the AI experiences. But it doesn't always get it right, as many of you know. When the AI answer confuses or mixes up information, Google calls that a "loss," Stein said."

"I mean, this is not new, Google said this when they announced SGE, the Search Generative Experience, now known as AI Overviews back in May 2023 - where I wrote: Yes, it uses Google Search's core ranking systems for this purpose. Google said this helps them "significantly mitigate" some of the known limitations of LLMs, like hallucination or inaccuracies."

Google integrates core search signals into AI Mode and AI Overviews to improve the usefulness and helpfulness of AI-generated responses. The integration leverages Google Search's core ranking systems to mitigate known LLM limitations such as hallucinations and inaccuracies. Despite these signals, AI answers can still confuse or mix information; such instances are classified by Google as 'losses.' AI Overviews recommend and link to pages that others have found helpful for similar queries. Mistakes can arise for various reasons, so providing clickthrough access to source pages allows users to verify and explore underlying information.

Read at Search Engine Roundtable