The AI-Driven Shift in Search Engine Traffic
The rise of AI Overviews has sparked concerns about the impact on web traffic, with some speculating that AI is “killing” web traffic. While the concern is valid, the reality is more nuanced. As of December 2025, AI Overviews have reduced organic click-through rates (CTR) for position-one content by an average of 58%, but this doesn’t necessarily mean a decline in web traffic. Instead, it’s a redistribution of traffic, with AI Overviews answering queries directly on the results page and intercepting searches that previously drove clicks to websites.
This shift is part of a larger trend, with Google’s AI-powered features, such as AI Overviews, expected to reach 75% of search results by 2028. Marketers and content teams need to adapt to this new landscape, where AI Overviews are becoming increasingly prominent. The key is to understand how AI Overviews work and how to optimize content for this new format.
AI Overviews are generated summaries that appear at the top of Google’s search results, above both paid ads and organic listings. When an AI Overview appears for a brand’s target query, it answers the user’s question, pushing all the blue links farther down the page. This can lead to a decline in clicks, even if the brand’s website ranks well. However, if the brand is the site cited in the overview, impressions stay up, and clicks may still occur.
Unpacking the Decision-Making Logic Behind AI Overviews
While AI Overviews may seem like a straightforward feature, there’s a complex decision-making logic behind them. Google’s algorithm determines when to display an AI Overview, based on factors such as the query type, search intent, and content quality. Marketers need to understand these factors to optimize their content for AI Overviews.
One key aspect is the type of query. AI Overviews tend to appear more frequently for informational queries, such as definitions or explanations. In contrast, transactional queries, such as “buy” or “compare,” are less likely to trigger AI Overviews. This means that marketers should focus on creating content that answers specific, detailed questions, rather than just providing general information.
Another important factor is content quality. Google’s algorithm favors high-quality content that is relevant, informative, and engaging. Marketers should focus on creating content that meets these criteria, using techniques such as answer engine optimization (AEO) to improve their chances of being cited in AI Overviews.
Who Wins, Who Loses, and Who Gets Disrupted
The rise of AI Overviews has significant implications for various industries and companies. Those who win are likely to be marketers and content teams that adapt quickly to the new landscape, optimizing their content for AI Overviews and focusing on creating high-quality, relevant content.
Those who lose may be companies that rely heavily on non-branded organic search traffic, which is more likely to be impacted by AI Overviews. Publishers with high branded and direct traffic, such as the Daily Mail, have proven more resilient to AI Overview disruption.
The disruption caused by AI Overviews will also impact the way marketers measure success. Instead of focusing solely on click volume, they should shift their metrics to include share of voice, citation frequency, and branded search growth. This will help them understand the true impact of AI Overviews on their web traffic and adjust their strategies accordingly.
Steel-Manning the Skeptical Case
Some may argue that AI Overviews are not a significant threat to web traffic, and that the impact is exaggerated. However, the data suggests otherwise. AI Overviews are already having a significant impact on organic CTR, and this trend is likely to continue.
Moreover, the rise of AI Overviews is part of a broader shift in how search engines surface information. Marketers need to adapt to this new landscape, rather than trying to fight it. By focusing on creating high-quality content and optimizing for AI Overviews, marketers can stay ahead of the curve and maintain their web traffic.
What’s Next and How to Prepare
The next verifiable event or milestone to watch is the continued growth of AI-powered features in search engines. Marketers should prepare by investing in AEO, creating high-quality content, and shifting their metrics to include share of voice, citation frequency, and branded search growth.
Marketers should also keep an eye on the development of new tools and technologies that can help them optimize for AI Overviews. For example, HubSpot’s AEO capabilities can help teams track AI citation performance and optimize content for visibility across answer engines.
Pick one tactic from this post and apply it today. Which one will you start with?
By Daniel Cross, Digital Growth Strategist at TrendFlashy
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