We Ranked #1 on Google. Our Client Traffic Dropped 59%.

A developer reports that a client ranking #1 on Google saw a 59% traffic drop after AI Overviews launched, with CTR falling from 27% to 11%. Analysis across clients shows CTR drops of 40-75% for queries with AI Overviews, especially informational ones. The developer recommends separating query types in reporting and shifting focus to content requiring user action.

We Ranked 1 on Google. Our Client's Traffic Dropped 59%. This is not a hypothetical. This is data from a real client, in a real market, in 2026. The site held position 1 for a target keyword. It had been there for 11 months. Ranking was stable. We had done everything right: technical SEO, content depth, backlinks, Core Web Vitals. Then Google rolled out AI Overviews broadly in the US. The ranking did not change. The traffic dropped by 59% on that query. Most SEO teams still measure success with rankings. Position tracking is the default metric in every tool on the market. But rankings and clicks are no longer the same thing. A ranking tool will tell you that you are in position 1. Google Search Console will tell you that your CTR on that query dropped from 27% to 11%. Those two facts can exist simultaneously. The ranking tool shows green. The business loses more than half its organic traffic on a specific keyword. We ran this analysis across a set of clients in the US market. The pattern was consistent. Queries where Google introduced an AI Overview above the organic results showed CTR drops of 40% to 75% depending on query type and the quality of the AI Overview generated. The overall average for position 1 results in affected queries: from 27% CTR to 11% CTR. A 59% drop. The impact is not uniform across all search queries. There is a clear pattern: Queries where AI Overview appears AND extracts a complete answer: CTR drop of 60-80%. These are definitional queries, simple how-to questions, basic fact lookups. The user gets what they need inside the search result. There is no reason to click. Queries where AI Overview appears BUT requires task completion: CTR drop of 10-25%. These are commercial queries, service lookups, product research where the user ultimately needs to do something a search result cannot do for them. Queries with NO AI Overview: No meaningful change. The practical implication: content built around answering questions directly - which was the dominant SEO strategy for the last five years - is now the content most at risk. The better your content answers the question, the more likely Google uses it in an AI Overview, and the less likely the user clicks through to your site. The immediate fix was separating query types in reporting. We pulled all queries from Google Search Console and segmented them by whether they were likely to trigger AI Overviews based on intent: informational, definitional, procedural versus unlikely transactional, local, navigational, branded . For the informational/AI Overview category: we tracked citation appearances rather than clicks. Being cited in an AI Overview generates brand impressions even when it does not generate clicks. That has value, even if it does not match the old traffic model. For the non-AI-Overview category: standard CTR and traffic tracking continued normally. For the client where the 59% drop occurred: once we separated these two buckets, it became clear that non-AI-Overview traffic had actually increased 12% over the same period. The site was performing well. The specific traffic source that declined was queries where the user's question was fully answered before the click. Three changes we have implemented across affected accounts: One: Moving editorial focus away from pure informational content toward content that requires user action. Tools, calculators, configuration flows, comparison tables that need interaction. These create a reason to click that an AI Overview cannot replace. Two: Optimizing specifically for AI Overview citation. There is brand value in being cited even without the click. Content that cites primary data, takes a clear position, and uses Q&A structure is more likely to be cited. We have seen citation rates increase with structured content. Three: Tracking branded search volume as a secondary metric. If AI Overviews increase brand awareness for cited sites, branded search should reflect that. Early data is inconclusive but we are watching it. Ranking is a leading indicator. Traffic is a lagging indicator. Both are now less reliable as direct revenue predictors because a ranking can coexist with a traffic drop. The question worth asking about every piece of existing content: if Google puts this answer in an AI Overview, does the user still have a reason to visit our site? If yes: the content is well-positioned for the current environment. If no: the content needs to evolve into something that creates a reason to click, or you need to accept that its job is now brand awareness through citation rather than direct traffic. Neither answer is wrong. But you need to know which one applies to each piece of your content strategy before your next planning cycle. YoSiteUp is an SEO agency working across the US, Polish, and Ukrainian markets. Data referenced in this article comes from client accounts in the US market, January-June 2026. Full analysis: yositeup.com/en-us/blog/google-ai-overviews-ctr-drop-2026