AI Search Links Are Expanding Without Better Measurement

Introduction

When I first started working with search engines, the primary metric for SEO success was click through rate (CTR). Publishers and content creators relied on CTR data to gauge the effectiveness of their content and optimize for search visibility. But over the past few years, Google has shifted its focus toward AI driven search experiences, introducing features like AI Overviews and expanding link surfaces without providing concrete data on how these changes affect click behavior. This lack of transparency has left SEO professionals and publishers in a difficult position: we’re trying to adapt to a system where the key performance indicators are still unclear. The recent updates to AI search features, which add more link surfaces but no new click data, are part of a broader pattern that has sparked debate about the future of search traffic and publisher revenue.

"No Data To Share"

Google’s initial response to the controversy around AI Overviews was vague. When the feature launched in the U.S. in May 2024, publishers immediately raised concerns about declining traffic. By May 2025, data from Pew Research Center confirmed these fears: users clicked on search results 8% of the time when AI Overviews appeared, compared to 15% without them. Even more alarming was the 1% click through rate for links within the AI Overview itself. Google’s first public response came at Google Marketing Live in May 2025, where executives claimed that clicks from AI enhanced search were "more highly qualified." When asked for supporting data, a representative simply said, "no data to share." This gap between Google’s claims and the evidence behind them set the tone for the next two years. The absence of data has been a recurring theme. In late 2025, DMG Media reported to the UK Competition and Markets Authority that click through rates dropped up to 89% for certain queries with AI Overviews. Digital Content Next, a publisher consortium, found a median 10% year over year decline in traffic among its 19 member publishers. These numbers suggest a significant shift in user behavior, but without concrete data from Google, it’s hard to know whether the changes are intentional or a byproduct of algorithmic evolution. The lack of transparency has left SEO professionals scrambling to interpret the data they do have, often relying on third party studies and anecdotal evidence.

"The Clicks That Remain Are Higher Quality"

By late 2025, Google’s messaging evolved. Instead of denying the impact of AI Overviews, the company began arguing that the remaining clicks were "higher quality." This narrative suggested that users who clicked through from AI responses were more engaged and more likely to convert. The idea was that AI Overviews were filtering out low value traffic, such as bounce clicks, users who visited a page and quickly returned to search without engaging with the content. This argument gained traction, but it was never backed by data. Google’s executives repeated the claim in interviews with the Wall Street Journal and Bloomberg, but without providing any supporting evidence. The problem with this narrative is that it assumes a binary between low value and high value clicks, which isn’t always the case. A user might click on a link, read the content, and then return to search for more information, which is still valuable. The lack of data makes it impossible to determine whether the remaining clicks are truly higher quality or simply a smaller subset of the total traffic. This ambiguity has led to frustration among publishers, who are trying to balance the need to adapt to Google’s changes with the risk of losing visibility in search results.

"Bounce Clicks"

Google VP of Search Liz Reid gave the argument a name in an October 2025 Wall Street Journal interview: "bounce clicks." According to Reid, some of the clicks AI Overviews replaced were users who visited a page and quickly returned to search without engaging. Removing these visits from the count, the argument went, made the remaining traffic look healthier. Reid repeated this explanation on Bloomberg, but again, without providing any supporting data. While Google refined its language, the independent data kept arriving. Penske Media Corporation filed a federal court memorandum in February 2026 opposing Google’s motion to dismiss its antitrust lawsuit, arguing that Google had "shattered the longstanding bargain" between publishers and the search engine. Chartbeat data shared by Axios in March showed that search referral traffic fell by 60% for small publishers, 47% for medium publishers, and 22% for large publishers over two years. An Ahrefs analysis of 300,000 keywords measured a 58% lower click through rate for top ranking pages when AI Overviews appeared. Then a randomized field experiment tested the bounce clicks premise directly. When researchers removed AI Overviews from a subset of queries, organic clicks rose 38% while user satisfaction didn’t change. This finding complicates Google’s bounce click argument. If AI Overviews were mainly removing low value visits, you’d expect a measurable increase in traffic when they’re removed, which the experiment confirmed.

"Here Are More Links"

This week, Google shifted its focus from click data to link visibility. Hema Budaraju, VP of Product Management for Search, announced five updates to how links appear across Google’s generative AI Search features. Two of the five features address the click surface directly. Inline links now sit next to the text they support instead of clustering at the bottom of the response. This change may increase click intent, though it doesn’t change the zero click rate for queries the AI response fully satisfies. A new "Explore new angles" section suggests related articles at the end of many AI responses, creating a click surface for pages that aren’t cited in the response body. Two features expand the content inside the AI response itself. Perspectives from discussions surface quotes from Reddit, forums, social media, and what Google calls "other firsthand sources," with creator names and community links alongside them. Desktop hover previews show the site name or page title when a user hovers over an inline link, though desktop represents a smaller share of search behavior than mobile, which may limit the impact. Amanda Silberling at TechCrunch pointed out that an AI Overview serving curated forum quotes with links starts to look like the results page Google has offered since 1998. Whether the perspectives section expands the click surface or expands the zero click experience remains unclear, but the changes suggest Google is trying to balance user engagement with the need to provide more context.

What Hasn't Changed

Across each phase of Google’s public messaging, one thing hasn’t changed: the financial performance of its search business. Alphabet reported Search revenue of $60.4 billion in Q1 2026, up 19% from the previous year, and query volume at an all time high per CEO Sundar Pichai. Neither metric tells publishers whether their pages are receiving more or fewer clicks from AI influenced queries. Network revenue, which includes AdSense, fell 4% to $6.97 billion in the same quarter, dropping below $7 billion in the period reviewed. This financial performance highlights a critical issue: while Google’s search business is thriving, publishers are struggling to adapt. The lack of click data means that SEO professionals are left to guess how AI features are affecting traffic and revenue. Without concrete metrics, it’s impossible to determine whether the changes are beneficial or detrimental to the publishing ecosystem. This uncertainty has led to a growing demand for transparency, as publishers and SEOs seek ways to navigate the evolving landscape.

Looking Ahead

Google I/O is scheduled for May 19 to 20, and Pichai pointed to it during Alphabet’s Q1 earnings remarks, making it a likely venue for more AI product updates. Whether that includes click or traffic data for AI features is an open question. The PMC antitrust case continues, the EU is investigating under the DMA, and the UK CMA consultation is ongoing. Regulators will review these features and traffic data publishers track in dashboards to assess if Google has made sufficient concessions for the web ecosystem. As the debate over AI search continues, one thing is clear: the data needed to evaluate whether those clicks are arriving hasn’t changed once. SEO professionals and publishers must continue to adapt, relying on third party tools and data to make informed decisions. The future of search is uncertain, but one thing remains constant: the need for transparency and accountability in how search engines influence user behavior and content visibility.

Conclusion

Google’s expansion of AI search links without providing click data has left SEOs and publishers in a difficult position. While the company continues to refine its approach to AI driven search, the lack of transparency remains a significant challenge. As the industry moves forward, the demand for clear metrics and accountability will only grow. For now, the focus remains on adapting to the changes while waiting for the data that will finally clarify the impact of AI on search traffic and publisher success.

Practical next steps

The useful part is not only the idea itself, but the operating habit behind it. Use it as a checklist for decisions: what deserves attention now, what should be monitored, what needs a stronger evidence base, and what can wait until the system has more scale.