AI Overviews took a big bite out of B2B organic traffic. Most of what they took was never producing pipeline, so the job for paid search is to replace the buyers you lost, not the sessions.
If AI Overviews cut your organic traffic, do not fund paid search to buy the lost sessions back. Most of the missing clicks came from question-style searches that rarely turned into qualified leads. Use paid search to replace only the commercial queries where organic clicks fell and qualified leads fell with them.
This is written for marketing leaders at mid-market and enterprise B2B companies whose content-driven inbound is shrinking and who are now being asked whether paid ads can fill the gap. The short answer is yes, partly, and for much less money than the traffic chart suggests.
What AI Overviews actually took from your organic traffic
AI Overviews mostly absorb clicks on answer-seeking searches, the definitions and how-to questions that make up the top of a B2B content program. Google describes the queries that trigger them as generally "no one right answer" queries in its own ads and AI Overviews documentation.
The best independent data on the click loss comes from Pew Research Center, which tracked the real browsing of 900 U.S. adults across 68,879 Google searches in March 2025. When an AI summary appeared, people clicked a traditional result in 8% of visits. Without one, they clicked in 15%. Links inside the summary itself got clicked in just 1% of visits.
The same study found that 60% of searches starting with "who," "what," "when" or "why" produced an AI summary, against 18% of all searches. That is a consumer panel, not a B2B buyer sample, and AI answers have expanded since. But the direction is clear, and it lines up with what we see in B2B accounts.
Google makes a related claim on its AI features page for site owners: clicks from results pages with AI Overviews are "higher quality," meaning people spend more time on the site. Read that the other way around and it says the clicks that disappeared were the shallow ones.
→ The searches losing the most clicks are questions.
→ Questions are where most B2B blogs earned most of their traffic.
→ Those same visits were usually the weakest source of demo requests on the whole site.
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A version of this comes up on a lot of our discovery calls right now. Inbound from organic and content has been sliding for a few quarters, AI search is the obvious suspect, and leadership wants to know if paid ads can pick up the slack.
My first question is always the same. Did qualified leads from organic fall as much as organic sessions did?
The answer is usually no. Sessions are down sharply, and organic-sourced qualified leads are down a little. That gap is the whole story. The company lost a lot of readers and a handful of buyers, and the plan to "replace the traffic" would spend real money buying back the readers.
Step one: check whether pipeline fell or only sessions
Before you spend a dollar on replacement, compare organic sessions against organic-sourced qualified leads for the same two periods. Use the CRM for the lead side, filtered to whatever stage your sales team accepts as real, not raw form fills.
Here is an illustrative composite of the pattern. Organic sessions fall 35% year over year. Organic-sourced qualified leads fall 8%. In that account, AI answers took a large slice of attention and a small slice of demand.
If both numbers fell by roughly the same amount, you have a different problem. Either demand for your category is shrinking or you lost rankings on commercial pages. Buying more keywords will not fix a shrinking category, which we cover in our post on declining search volume in B2B.
Sort the lost clicks into two buckets
Open the Search Console Performance report, export queries for a pre-decline period and a recent period, and sort every query into one of two buckets. Google confirms that clicks and impressions from AI Overviews and AI Mode are counted inside the normal "Web" search type, so there is no separate AI line to pull. You have to read the shape of the change yourself.
Answer-seeking queries
→ Question words, definitions, "how to," frameworks, explainers of a concept.
→ Typical pattern after AI Overviews: impressions steady, average position steady, clicks and CTR down.
→ Leave these to your content team. Do not buy them back with text ads.
Commercial queries
→ Your category plus words like software, platform, agency, pricing, alternatives, "vs" a named competitor, or "for" a specific industry.
→ If clicks fell here and these queries historically produced qualified leads, that is real pipeline at risk, and it becomes your backfill list.
One more read while you are in there. If impressions on commercial queries dropped, demand is falling, not clicks. If average position dropped, you have an SEO ranking problem, and paid search is a patch on it rather than a fix.
What paid search should replace, and what it should not
Paid search should buy back the commercial queries where organic clicks dropped and those queries used to produce qualified leads. Nothing else. That list is usually short, which is the good news.
1.) Link Search Console to Google Ads today. The paid and organic report shows paid and organic performance side by side for each query, and Google suggests using it to find "queries where you only appear in organic search with no associated text ads." The catch is that organic data only starts from the date you link the accounts, so every week you wait is a week of history you will not have.
2.) Put the backfill keywords in their own campaign with their own budget. If they share a campaign with your existing non-brand terms, you will never be able to tell what the replacement program bought.
3.) Do not buy informational queries just because the clicks are cheap. Someone asking what a category term means is learning, not shopping, and a demo request is the wrong ask. We made the same argument about reading the result page in our guide to B2B paid channel selection.
4.) Write ads that say something your organic listing does not. Your organic title was written to rank. Your ad can name the buyer, the price signal or the outcome, and it should repel the people who were only there to learn.
5.) Expect some overlap. Where you still rank near the top, a share of the paid clicks would have come through organic for free. Run a holdout on the backfill keywords after the first full conversion cycle. Our guide to incrementality testing walks through the geo and pause versions.
One myth worth killing while you are here. Google's own paid and organic documentation says "Investment in paid search has no impact on your organic search ranking." Paid search will not help your SEO recover. It only covers the gap while you decide what to do about it.
Should you chase ads inside AI Overviews?
For most B2B advertisers, no. Do not restructure an account to win a placement you cannot target, cannot exclude and cannot measure separately.
Google's own ads and AI Overviews page is blunt about all three. Ads can appear above, below or within AI Overviews, and ads inside them are live in English in a list of countries that includes the US and Canada. But on that same page Google says "you can't directly target ad placements in the AI Overviews," "you can't opt out of serving ads in AI Overviews," and that Google Ads "currently doesn't offer segmented reporting when ads show within Search AI Overviews." Ads that show inside are simply reported as top ads.
To get there, Google says you need broad match or keywordless targeting, and it recommends pairing them with Smart Bidding. That means paying to show up on long, answer-seeking queries, which is exactly the traffic that converts worst in B2B. Where we have seen B2B teams test broader AI-surface placements, lead quality has been the weak spot.
If you want to test it anyway, do it on a qualified-pipeline conversion with fences in place first. Our post on Google AI Max for B2B covers the guardrails.
Size the budget from lost pipeline, not lost sessions
The right replacement budget is the number of qualified leads you lost multiplied by what paid search pays for a qualified lead on those same terms. It is not lost sessions multiplied by cost per click.
An illustrative composite shows how far apart those two numbers land. Say organic used to drive 20,000 sessions a month and now drives 13,000. At an $8 cost per click, someone will calculate that replacing 7,000 sessions costs $56,000 a month.
Now do it the other way. The commercial queries in that account used to produce 30 qualified leads a month and now produce 24. Six lost qualified leads at a $450 cost per qualified lead is $2,700 a month.
That is the difference between a budget conversation that gets laughed out of the room and one that gets approved in a week. Start at the smaller number, prove it with a holdout, and scale only if the paid leads close like the organic ones did.
Keep the content program, change what it is judged on
Answer-seeking content still matters, but judge it on brand demand and citations, not on sessions. AI answers still pull from somewhere, and being the cited source builds the familiarity that shows up later as branded search.
Watch branded search impressions and clicks, direct traffic and assisted conversions next to organic sessions. If branded demand is holding while blog sessions fall, the content program is doing its job in a different form. Your brand campaign is where that demand gets captured.
What to do in the next 30 days
1.) Link Search Console to Google Ads so the paid and organic report starts collecting history.
2.) Pull organic sessions and organic-sourced qualified leads for the same two periods and compare the declines.
3.) Export Search Console queries and tag each one as answer-seeking or commercial.
4.) Match commercial queries to the landing pages that produced qualified leads, and build the backfill list from the ones that lost clicks.
5.) Launch that list in its own campaign, budgeted from lost qualified leads, and set the holdout date before the first click.
If you want a second set of eyes on that list, this is the exact audit we run before scoping any B2B Google Ads program. Most teams come out of it spending less than they expected to.
