AI Overview Traffic Loss: How to Measure Which Queries Actually Bleed

The short answer: both narratives are true, just not for the same query

If you want one rule to take away: AI Overviews crush click-through rate on informational queries where the answer fits in a paragraph, and barely dent (sometimes help) commercial and transactional queries where the user still has to leave Google to act.

The “AIO destroys traffic” camp is measuring the first kind. The “get cited and you win more clicks” camp is measuring the second. Neither is lying. Both are over-generalising from their own slice of the SERP. Your job is to stop arguing about the average and measure your own queries, one segment at a time, inside Google Search Console.

The numbers people throw around are real but they describe populations, not your site. Ahrefs, analysing 300,000 keywords, found the top organic result takes a 58% lower CTR when an AI Overview is present.¹ Seer Interactive, across 5.47 million tracked queries, measured organic CTR on AIO queries falling from 1.76% to 0.61%, a 61% drop, while non-AIO queries actually rose.²

AI Overviews now appear on roughly 48% of queries as of March 2026, up from 34.5% in December 2025.¹ And the zero-click rate sits near 65% overall, climbing to ~83% when an AIO is on the page.³ All true. All useless for deciding what to do with a specific URL until you segment.

Why the two narratives can both be right

A search engine result page is not one market. It is many. The mistake in nearly every “AIO is killing SEO” post and every “just get cited” rebuttal is treating the SERP as homogeneous and reporting a blended average. Blended averages hide the only thing that matters operationally: distribution.

Three mechanics drive the split. First, answer completeness. When the AIO fully satisfies intent (“how many ounces in a cup”, “what is a 301 redirect”), there is no reason to click anything. The informational page underneath bleeds. When the AIO can only orient (“best CRM for a 12-person agency”), the user still clicks through to compare, sign up, or buy. Second, citation position. Seer found brands cited inside the AIO earn about 35% more organic clicks than non-cited brands on the same query, while uncited competitors absorb the full decline.² Being in the box is a different game from sitting in the blue links below it. Third, recovery is uneven. CTR on AIO queries rebounded from 1.3% in December 2025 to 2.4% in February 2026, an 85% jump in two months, but that floor lifting back up is concentrated where users have a downstream action to take, not on the encyclopedia-style queries that were gutted first.⁴

So “AIO destroyed my traffic” and “AIO sends me more clicks” are not contradictory claims about reality. They are accurate reports from two different neighbourhoods of the same SERP. The contrarian move is to refuse the average and go measure your own.

How to measure AI Overview traffic loss in Google Search Console

Google does not hand you an “AIO present: yes/no” column. You build the segmentation yourself. Here is the method, in the order that actually works.

Step 1: Establish a clean before/after window

Pull GSC Performance data by query for two comparable periods. Do not compare last month to this month if a core update or seasonality sits between them. The defensible comparison is year-over-year on the same calendar weeks, which controls for both seasonality and the staggered AIO rollout. Export clicks, impressions, and position per query for both windows.

Step 2: Flag which of your queries trigger an AIO

This is the step everyone skips, then wonders why their analysis is noise. GSC will not tell you AIO presence, so you tag it externally. For a small set, check manually in an incognito window. For anything at scale, pull AIO presence per keyword from a rank tracker that records SERP features (Semrush, Ahrefs, SE Ranking all expose an “AI Overview” feature flag). Join that flag back to your GSC export on the query string. You now have every query labelled AIO or non-AIO.

Step 3: Segment by intent, not just by AIO presence

AIO presence alone will mislead you, because intent is the real driver. Split your AIO queries into informational (how, what, why, definitions, comparisons-for-learning) and commercial/transactional (buy, price, near me, best X for Y, brand + product). The fastest honest proxy: bucket by the landing page type. Blog and glossary URLs skew informational; product, category, pricing, and service pages skew transactional. Now you have a 2×2: AIO/non-AIO crossed with informational/commercial.

Step 4: Compute true citation lift versus cannibalisation

For the AIO-present queries, you need to know whether the AIO is feeding you or eating you. The signal is the relationship between impressions and clicks. If impressions held or grew while clicks fell, that is cannibalisation: Google is showing you (often inside or beside the AIO) but users are not clicking because the answer is already on screen. If clicks held or grew on a query where you are cited in the AIO, that is genuine citation lift. The trap is reading a CTR drop as a ranking loss. As the Seer data shows, much of the “collapse” is a math artefact: impressions doubled while clicks stayed flat, so CTR fell without a single position lost.² Check position before you panic. If position is stable and CTR fell, the AIO is the cause, not a demotion. This is the same “fake ranking drop” misread we have dismantled before in the context of Google’s ranking-volatility signals.

What the segments will show you

When you run this, the pattern is consistent enough to predict. The table below is the shape almost every site produces; your magnitudes will differ, but the direction will not.

Query segment	AIO behaviour	Typical CTR impact	What to do
Informational, AIO present, not cited	Full answer in the box, no reason to click	Severe loss (-50% to -85%)	Stop investing in thin-answer versions; consolidate or repurpose
Informational, AIO present, cited	Brand visible, some click-through for depth	Moderate loss, partial recovery	Defend the citation; add depth the AIO cannot summarise
Commercial/transactional, AIO present	AIO orients, user still must act off-Google	Flat to slightly down; can lift if cited	Keep investing; this is where money still clicks
Any intent, no AIO	Classic SERP, CTR often rising	Stable to up	Protect these; they are quietly subsidising the losses

The chart below shows the Seer organic CTR figures that anchor this: the drop from no-AIO to AIO-present, the partial lift for cited brands, and the early 2026 rebound on AIO queries. Note that the rebound (2.4%) still sits well below the non-AIO baseline, so “recovery” does not mean restoration.

The decision rule for where to keep investing

Once segmented, the allocation rule writes itself. Pour budget into commercial and transactional clusters where AIO presence does not stop the user needing to leave Google, and where being cited compounds into a CTR advantage over uncited rivals. Defend the informational pages that still earn citations by making them the source the AIO has to quote: original data, first-hand testing, numbers and structure a generative summary cannot fully compress without losing fidelity. And stop pouring fresh effort into thin informational pages that an AIO answers in two sentences; those clicks are not coming back, and pretending otherwise is how agencies keep billing for traffic that structurally no longer exists. Some of that demand is better captured off-page entirely, which is the broader argument for treating off-site SEO and brand mentions as first-class, not as link-building leftovers. Structuring survivors into proper topic clusters also concentrates the depth signals that earn citations rather than scattering thin pages an AIO eats whole.

What most analyses get wrong

Three failures recur. People report blended site-wide CTR and conclude “AIO is/ is not hurting us”, when the only honest unit of analysis is the query segment. People read CTR decline as ranking loss and chase phantom algorithmic penalties, when impressions-up-clicks-flat is the actual mechanic. And people treat “get cited” as a strategy rather than an outcome; you do not optimise for citation directly, you earn it by being the most quotable, most original source on a query the AIO cannot fully answer alone. Measure first. The average is a story; the segment is the truth.

References

1. Ahrefs, “AI Overviews Reduce Clicks by 58%” (2026 update), 300,000-keyword study; AIO query coverage ~48% as of March 2026. ahrefs.com/blog/ai-overviews-reduce-clicks-update
2. Seer Interactive, “AIO Impact on Google CTR: 2026 Update”, 5.47M queries / 2.43B impressions; organic CTR 1.76% to 0.61% on AIO queries; cited brands ~+35% organic clicks. seerinteractive.com
3. SparkToro / Datos clickstream, 2026: ~65% of Google searches end without a click, ~83% when an AI Overview is present. sparktoro.com
4. Seer Interactive, AIO query CTR rebound from 1.3% (Dec 2025) to 2.4% (Feb 2026); non-AIO CTR rose 2.8% to 3.8% over the same window. Search Engine Land coverage