How AI Overviews Are Crushing Click-Through Rates

The CTR Problem Nobody Wants to Talk About

For the past two years, SEOs have watched rankings hold steady while traffic quietly bleeds out. Pages sitting in position one are pulling click-through rates that would have been considered mediocre for position four in 2023. The culprit isn't a core update or a penalty. It's the answer box that now sits above everything else.

Google's AI Overviews - rolled out to all U.S. users in May 2024 and expanded globally through 2025 - answer the question before users ever see your blue link. That changes the entire economics of organic search.

That's not a small dip. That's a structural shift in how search delivers value - and it affects different query types, different industries, and different intent categories in wildly different ways.

Which Query Types Are Hit Hardest

Not every keyword suffers equally. The damage is concentrated in specific categories, and understanding the pattern is the first step toward adapting.

Informational and Definitional Queries

"What is" questions, how-to guides, and factual lookups were always the easiest wins for content marketers. They're also exactly the type of query AI Overviews handle best. When someone searches "how does compound interest work," Google now delivers a clean, structured explanation directly in the SERP. The user gets their answer and moves on.

Ahrefs tracked a set of 10,000 informational keywords through H2 2025 and found that AI Overviews appeared on 78% of them. Average CTR across the top three organic positions for those queries dropped 34% year-over-year.

Health and Medical Queries

Medical search took an early hit. Queries like "symptoms of strep throat" or "what causes high blood pressure" now almost universally trigger AI Overviews, pulling from authoritative sources. The organic listings below them see CTRs in the 1% to 3% range even for established health publishers.

Publishers like Healthline and WebMD - which built empires on informational health content - have publicly reported year-over-year organic traffic declines exceeding 20% in categories dominated by AI Overviews.

Finance and Definition Queries

Personal finance content follows the same pattern. "What is an index fund," "how to file taxes," "difference between Roth and traditional IRA" - these are all resolved in the AI Overview. The user rarely needs to click.

Where CTR Has Held or Even Improved

Commercial and transactional intent queries tell a different story. When someone searches "best project management software for remote teams" or "buy standing desk under $500," they're not satisfied by a summary. They want to compare, verify, and choose. AI Overviews appear less frequently on these queries, and even when they do, click-through rates for the organic listings below remain relatively strong.

Local queries, navigational searches, and queries with strong brand intent also show resilience. Users searching for a specific brand or wanting to complete a task - booking a restaurant, checking a store's hours - click through because the Overview can't complete the action for them.

The Citation Opportunity Hidden Inside AI Overviews

There's a counterintuitive angle here that most coverage misses. AI Overviews don't just suppress clicks - they also create a new type of visibility. The sources cited inside the Overview box get prominent placement that didn't exist before. If your content is cited, users see your brand name, your URL, and a snippet before they even reach the organic results.

The traffic from these citations tends to be lower volume but higher intent. Users who actively click through from an AI Overview have already consumed the summary and still want more - they're genuinely interested, not just scanning.

Getting cited by AI Overviews follows similar principles to broader generative engine optimization. Google's system favors content that is authoritative, structured, and directly answers specific sub-questions within a topic. Content that hedges, buries the answer, or relies on narrative flow over clarity tends to get skipped.

How to Audit Your Exposure to AI Overview CTR Drops

Before you can fix the problem, you need to quantify it. Here's a systematic approach.

Step 1 - Segment Your Keyword Portfolio by Intent

Pull your top 100 to 200 keywords by impressions from Google Search Console. Manually categorize each into informational, commercial, transactional, or navigational. This takes time but can't be automated accurately. You're looking for the proportion of your portfolio sitting in the highest-risk categories.

Step 2 - Track AI Overview Presence

Search each of your top keywords in an incognito window and note whether an AI Overview appears. Third-party tools including Semrush, Ahrefs, and MeasureBoard's AI rank tracker can automate this at scale, flagging which of your target queries now show AI Overviews.

Build a simple spreadsheet: keyword, intent category, AI Overview present (yes/no), current CTR from Search Console. Sort by impressions. The rows with high impressions, informational intent, and AI Overview presence are your problem keywords.

Step 3 - Compare CTR Trends Over Time

In Google Search Console, set a date comparison of the last 90 days against the same period in 2024. Filter by your highest-impression pages. A meaningful drop in CTR with stable or improved ranking position is a clear signal that AI Overviews are intercepting your clicks. The full Search Console guide covers how to pull these comparisons cleanly.

Five Strategies to Adapt Your SEO to the AI Overview Era

1. Shift Content Investment Toward Commercial Intent

Informational content that attracted traffic primarily through top-of-funnel "what is" queries now has a weak traffic ROI. That doesn't mean abandoning it entirely - it still builds topical authority and earns links - but it means pulling resources away from pure informational coverage and toward comparison pages, product roundups, and solution-oriented content where users need to click to complete their goal.

The SEO ROI calculation for informational pages looks very different now. Factor the AI Overview CTR suppression into your projections before commissioning new content in these categories.

2. Structure Content to Win Citations

If you can't beat the Overview, get inside it. Google's AI pulls from pages that answer questions clearly, use structured formatting, and include factual specifics. Write with direct answers at the top of each section rather than building toward a conclusion. Use numbered lists for processes and bullet points for comparisons. Add specific data points - percentages, timelines, dollar figures - rather than general claims.

Schema markup accelerates this. FAQ schema, HowTo schema, and Article schema all help Google's systems understand what type of content you're offering and where the authoritative answers sit. The connection between schema markup and AI search visibility is well established at this point.

3. Build Content That Requires a Click

Some content formats are structurally resistant to AI summarization. Interactive tools, calculators, original datasets, proprietary research, and community content can't be distilled into an Overview because the value lives in the interaction or the underlying source. Investing in these formats creates durable click-through incentives.

Original research is particularly effective. If your page contains data that doesn't exist anywhere else, the AI Overview has to cite you or omit the fact. Either outcome is better than being replaced entirely.

4. Optimize Titles and Meta Descriptions for Post-Overview Clicks

Users who scan past the AI Overview to look at organic listings are doing so deliberately. They want something the Overview didn't provide - more depth, a different perspective, a tool, or a trusted source. Your title tag and meta description need to communicate clearly what they get by clicking through that they can't get from the summary box above.

Avoid titles that mirror what the Overview already answered. Instead, signal what's additional: "The Complete Data Set," "Updated for July 2026," "Including Case Studies," "With Free Template." These specifics tell a post-Overview scanner that there's more value waiting.

5. Diversify Traffic Sources Beyond Organic Search

This is uncomfortable advice for SEO-focused teams, but the data is clear. Concentrating traffic acquisition entirely in organic search was already risky. With AI Overviews structurally suppressing clicks on a significant share of informational queries, that concentration becomes a genuine business risk.

Building an email list, growing social distribution, investing in referral traffic from authoritative partners, and optimizing for AI search platforms like Perplexity and ChatGPT all reduce dependency on Google click-through rates. The traffic patterns across AI platforms show that Perplexity in particular sends meaningful referral clicks in a way that Google's AI Overviews often don't.

Measuring Your Recovery

Adapting to AI Overviews isn't a one-time fix. It requires ongoing measurement to understand what's working and where new suppression is appearing as Google expands the feature.

Set up monthly CTR monitoring segmented by query intent category. Track AI Overview presence on your top 50 keywords quarterly - the feature is still expanding to new query types, and what's safe today may be suppressed in six months. Watch for the emerging pattern in Google's AI Mode rollout, which goes further than AI Overviews by replacing the traditional SERP entirely for some query types.

The AI traffic intelligence tools in MeasureBoard give you a combined view of your organic CTR trends alongside AI citation tracking - showing you whether you're losing ground in traditional search, gaining ground in AI-driven results, or both simultaneously.

Position one isn't what it used to be. But the sites that adapt their content strategy to the new SERP reality - rather than pretending it's still 2022 - are the ones that will protect their traffic and find the new opportunities that AI Overviews create.