How AI Overviews Affect Google Ads Click-Through Rate (and What to Do About It)

AI Overviews can change how many people click on any result, paid ads included, but the effect on your ad CTR depends on the query type, where your ad shows, and how you measure it. Nobody has published a single reliable number for paid click-through rate yet. This article covers what AI Overviews are, how ads appear around them, what the evidence says, how to test your own account, and how to adjust without overreacting to a noisy metric.

What AI Overviews Are and Where Google Ads Show Up Around Them

AI Overviews are AI-generated summaries that Google places at the top of some search results pages. They answer a query directly, with links to sources underneath. AI Mode is a separate, more conversational search experience where users ask follow-up questions and get longer AI-generated responses. They are related but not the same surface, and Google's naming, rollout, and availability have shifted often. Check Google's own Search and Ads announcement pages for the current picture as of October 2026 before you make decisions based on either.

Google has announced that ads can appear in and around AI Overviews. The scope, supported markets, and eligibility rules have been changing, so confirm specifics in Google Ads Help and Google Marketing announcements rather than relying on a blog post (this one included). Do not assume every account or country has access to the same placements.

What matters for reporting:

• Metrics stay in the usual place. Search ads that show in these placements are reported under your normal Search campaign metrics: impressions, clicks, CTR, conversions.
• Isolation may not be possible. As of October 2026, do not assume you can filter a report down to AI Overview impressions only. Check the segmentation options in your account and Google's documentation. If a clean segment does not exist, you are inferring effects from patterns, not reading them directly.
• Keywords and search terms are different things. A keyword is what you bid on. A search term is what the person actually typed. AI Overviews tend to show up on longer, question-style searches, so the search terms report is where changes in query mix become visible.

That last point drives the rest of this article. If you cannot see the placement directly, the query is your best window into what changed.

Why AI Overviews Could Move Your CTR Up or Down

CTR is clicks divided by impressions. Either side can move, and the rate changes with it. Here is an illustrative example, not real account data. Suppose a campaign gets 10,000 impressions and 500 clicks: a 5% CTR. If impressions rise to 14,000 because the ads now appear on more question-style queries, and clicks rise only to 560, CTR falls to 4%. Clicks went up, yet the rate dropped. Now flip it: impressions hold at 10,000 but clicks fall to 400, and CTR is 4% again, but for a very different reason.

Three mechanisms can be at work at once.

Fewer clicks on anything

When users get an answer on the results page, some never click anything. This is most plausible on informational queries, where a summary can satisfy the need. If your ads appear on those searches, CTR can fall.

Impressions change

If ads show in new positions or on queries that previously showed no ads, impressions can rise or fall independently of user behavior. CTR then moves even if clicks stay flat. This is why you should always look at impressions and clicks separately, not the ratio alone.

Remaining clickers may be more qualified

People who read a summary and still click an ad may have a more specific need: they want pricing, availability, or a provider, not an explanation. That could lift conversion rate even while CTR slips. It is a plausible mechanism, not a proven one, so test it in your own data.

The misconception to drop: a lower CTR does not automatically mean worse performance. If you pay for fewer, better clicks, conversion rate and cost per conversion improve while CTR declines. Judge the campaign on conversions, conversion value, and cost per conversion, then use CTR as a diagnostic clue. If you are unsure what a healthy number looks like, see what a good conversion rate for Google Ads looks like.

What the Evidence Says So Far (and Where It Falls Short)

Most published research measures organic behavior, not paid ad CTR. That is the single most important caveat, and it makes everything below directional only.

The best-known independent study is from Pew Research Center, published in 2025. It analyzed the browsing activity of a panel of U.S. adults and compared how often users clicked links on results pages that showed an AI summary versus those that did not. Pew reported that users clicked traditional results less often when a summary appeared. Verify the exact percentages on Pew's site before quoting them, since I am not stating figures from memory. The study tracked all link clicks, not ad performance specifically.

SEO research firms such as Seer Interactive, Semrush, and Ahrefs have also published analyses of click-through rates on queries that trigger AI Overviews, mostly using Search Console data for organic listings. Their methods, sample sizes, and dates differ, and some reported steep organic CTR declines on affected queries. If you cite any of them, check the publication date, the query set, and whether the figures cover organic or paid.

Google has made its own statements about how ads perform alongside AI Overviews, and about the quality of clicks from these experiences. Treat those as Google's claims. Read them in first-party sources, note the date, and remember that aggregated platform statements may not match your vertical or account.

A fair way to sort the picture:

• Known: AI summaries exist, appear on a subset of queries, and organic click behavior differs when they show, per independent panel research.
• Claimed: Google's statements about ad performance and click quality in these placements, plus vendor studies whose methods vary.
• Unknown: How much paid CTR specifically changes across industries, query types, and ad positions. No public dataset settles this.

Given that gap, your own account is the most relevant evidence you have.

How to Check Whether AI Overviews Are Changing Your Own CTR

You are looking for a pattern that matches the mechanisms above, while ruling out your own changes. A practical sequence:

1. Pick matching periods. Compare a recent window to an equal-length earlier one, ideally the same days of the week. Avoid windows with seasonality, promotions, or holidays. Where possible, compare to the same period last year as a second check.
2. Compare by campaign. Line up impressions, clicks, CTR, conversions, and cost per conversion. Note which moved first. Rising impressions with flat clicks points to a query-mix or placement change. Flat impressions with falling clicks points to user behavior. Knowing how to read Google Ads reports properly makes this comparison much cleaner.
3. Split by intent. In the Search Terms Report, group search terms into informational (how, what, why, best way to), commercial (price, near me, buy, hire), and branded. If CTR fell mainly on informational terms while commercial and branded held steady, that fits the AI Overview theory.
4. Segment further. Check device, ad position data, and ad format segments. A drop confined to one device or one position tells a different story than a drop everywhere.
5. Annotate your own edits. Log bid strategy changes, budget shifts, new keywords, match type changes, and ad copy swaps. Many CTR shifts blamed on AI trace back to an account edit made a week earlier.

The Search Terms Report is where most of this work happens, and it gets tedious with a lot of data. If you use Keywordme, it runs inside that report in Google Ads, so you can scan query mix and act on junk terms without exporting to a spreadsheet. It speeds up the review; the judgment about what counts as junk is still yours. For a faster routine, see how to review the Google Ads search terms report faster.

If nothing in the data separates by intent, device, or timing, the cause is probably not AI Overviews. Look at competition, ad copy, and landing pages first, and consider a full step-by-step Google Ads audit to catch account-level causes.

Practical Ways to Protect Click-Through Rate and Lead Quality

None of these steps depend on proving AI Overviews are the cause. They improve query quality and ad relevance, which helps whatever is happening on the page.

Tighten the query mix

Add negative keywords, which block your ads from matching specific search terms, for low-intent informational queries that collect impressions without conversions. Use the right negative match type so you do not block good traffic: a phrase or exact negative is safer than a broad one. If you need a refresher, here is how to use negative keywords in Google Ads. Keep positive keywords in tightly themed ad groups so each search term lands on a relevant ad, as outlined in this guide to structuring ad groups for maximum relevancy.

Review match types

Broad match can pull in question-style searches you never intended to bid on. Check which search terms each match type is actually triggering. If broad keywords are driving informational impressions with weak conversion, move proven terms to phrase or exact match, or add negatives. This also helps reduce Google Ads wasted spend on clicks that were never going to convert.

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