Google AI Overviews Visibility Drops to 15% of Queries

Autor
Ben Dietrich

Google's AI Overviews, which were previously known as Search Generative Experience in Labs, have seen a significant reduction in their visibility. Once appearing in 84% of queries, these overviews now show up in less than 15% of searches, according to a recent analysis.

A Sharp Decline in Visibility

The reduction in the presence of AI Overviews began around mid-April and continued into May. This decline was noted just before Google I/O, where the official launch of AI Overviews in the U.S. was announced. The rollout, however, faced some challenges, with several instances of incorrect and potentially dangerous AI-generated answers, such as suggesting people drink urine or eat rocks, highlighting the need for refinement.

Changes in Search Features

Google's AI Overviews are now more selective in their appearance. They are 195% more likely to show up when a query includes a featured snippet and are also more prevalent in question-based queries. However, the presence of sitelinks and local queries tends to reduce the likelihood of these overviews appearing.

In terms of industry-specific visibility, AI Overviews continue to appear most frequently in the Healthcare sector, although the percentage has dropped to 63% from 76% in January. For industries like Restaurants and Travel, the drop is even more significant, with visibility now less than 1%, down from 36% and 30% respectively in January.

Enhancements in Query Handling

One notable improvement in Google’s approach is the reduction of overlap between AI citations and classic search results. This means users are less likely to see the same answers presented in different formats. For queries driven by "what," "where," and "how" intents, Google has become more proactive. The search engine now performs subsequent searches for users, effectively doing the second, third, and fourth searches on their behalf. Additionally, Google anticipates follow-up questions and presents potential answers before users even ask them.

The Future of AI in Search

Despite the reduction in the visibility of AI Overviews, the integration of AI into search is seen as an inevitable progression. Continuous testing and improvements are expected to enhance search quality, traffic flow, and monetization strategies. While acknowledging current imperfections, the sentiment is optimistic about the future.

“It is inevitable that the relationship between AI and search will accelerate. We must acknowledge that it is getting some things wrong at the moment but be aware that it is fine-tuning several things – search quality, the flow of traffic in its ecosystem, and monetization (ads). It will get exponentially better over time.”

The dynamic nature of AI in search means users can look forward to ongoing enhancements as Google continues to fine-tune its systems, making search experiences more efficient and user-friendly.

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