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AI Overviews don\u2019t show up consistently across Google Search because the system learns where they\u2019re useful and pulls them back when people don\u2019t engage.<\/p>
Robby Stein, Vice President of Product at Google Search, described in a CNN interview how Google tests the summaries, measures interaction, and reduces their appearance for certain kinds of searches where they don\u2019t help.<\/p>
Stein explained that AI Overviews appear based on learned usefulness rather than showing up by default.<\/p>
\u201cThe system actually learns where they\u2019re helpful and will only show them if users have engaged with that and find them useful,\u201d Stein said. \u201cFor many questions, people just ask like a short question or they\u2019re looking for very specific website, they won\u2019t show up because they\u2019re not actually helpful in many many cases.\u201d<\/p>
He gave a concrete example. When someone searches for an athlete\u2019s name, they typically want photos, biographical details, and social media links. The system learned people didn\u2019t engage with an AI Overview for those queries.<\/p>
\u201cThe system will learn that if it tried to do an AI overview, no one really clicked on it or engaged with it or valued it,\u201d Stein said. \u201cWe have lots of metrics we look at that and then it won\u2019t show up.\u201d<\/p>
Stein described the system as sometimes expanding a search beyond what you type. Google \u201cin many cases actually issues additional Google queries under the hood to expand your search and then brings you the most relevant information for a given question,\u201d he said.<\/p>
That may help explain why pages sometimes show up in AI Overview citations even when they don\u2019t match your exact query wording. The system pulls in content answering related sub-questions or providing context.<\/p>
For image-focused queries, AI Overviews integrate with image results. For shopping queries, they connect to product information. The system adapts based on what serves the question.<\/p>
Stein described AI Mode as the next step for complicated questions that need follow-up conversation. The design assumes you start in traditional Search, get an Overview if it helps, then go deeper into AI Mode when you need more.<\/p>
\u201cWe really designed AI Mode to really help you go deeper with a pretty complicated question,\u201d Stein said, citing examples like comparing cars or researching backup power options.<\/p>
During AI Mode testing, Google saw \u201clike a two to three \u2026 full increase in the query length\u201d compared to typical Search queries. Users also started asking follow-up questions in a conversational pattern.<\/p>
The longer AI Mode queries included more specificity. Stein\u2019s example: instead of \u201cthings to do in Nashville,\u201d users asked \u201crestaurants to go to in Nashville if one friend has an allergy and we have dogs and we want to sit outside.\u201d<\/p>
Some personalization in AI Mode already exists. Users who regularly click video results might see videos ranked higher, for example.<\/p>
\u201cWe are personalizing some of these experiences,\u201d Stein said. \u201cBut right now that\u2019s a smaller adjustment probably to the experience because we want to keep it as consistent as possible overall.\u201d<\/p>
Google\u2019s focus is on maintaining consistency across users while allowing for individual preferences where it makes sense.<\/p>
In July 2024, research showed Google had dialed back AIO presence by 52%, from widespread appearance to showing for just 8% of queries. Stein\u2019s description offers one possible explanation for that pattern.<\/p>
If you\u2019re tracking AIO presence week to week, the fluctuations may reflect user behavior patterns for different question types rather than algorithm changes.<\/p>
The \u201cunder the hood\u201d query expansion means content can appear in citations even without matching your exact phrasing. That matters when you\u2019re explaining CTR drops internally or planning content for complex queries where Overviews are more likely to surface.<\/p>
Google\u2019s AI Overviews earn placement based on usefulness rather than appearing by default.<\/p>
Personalization is limited today, but the direction is moving toward more tailored experiences that maintain overall consistency.<\/p>
See the full interview with Stein below:<\/p>