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AI search is eating clicks – how are CMOs proving ROI now?
Posted by on March 18, 2026 at 6:26 amAccording to Conduct State of AEO/GEO Report of Jan 2026, about 94% of CMOs plan to increase their ai SEO investment in 2026. This is because a significant number of users have shifted into ai models for recs.
In our case, we are seeing organic traffic drop bc AI answers questions directly without sending users to our sites. On the other hand, the management still wants to see marketing ROI but traditional click-through metrics don't tell the full story anymore. We are scratching our heads, wondering how we can measure ai search to conversion.
What are you doing to prove revenue in this ai search era?
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I would argue that clicks and traffic were NEVER a good way to prove ROI. If it takes you 1000 visits to get one sale or closable lead, that’s something. But then if I lose half of that (and it’s the garbage stuff) the 500 visits/clicks I get now convert 3 or 4 times – meaning every 1000 now generates 6-8 sales.
And since AI works to get specific answers for specific questions being asked and will lower traffic from everything that isn’t going to actually be able to convert, you can’t get away with just reporting traffic and clicks as a win. It’s always been true, it’s just more obvious that if there is an actual correlation, it’s a spurious one.
G.
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We stopped being obsessed over clicks and started tracking assisted conversions and branded search lift. If ai mentions us, we usually see downstream demand. The attribution is still messy, but better than pretending CTR still matters.
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I think the bigger shift is that “traffic = value” was always a flawed proxy, AI is just exposing it faster.
If AI answers filter out low-intent users, what’s left is actually higher quality traffic. So instead of proving ROI with clicks, it probably shifts toward:
– assisted conversions
– branded search lift
– pipeline influenced by content
Feels less like losing traffic and more like losing noise, but yeah measuring it is the messy part right now.
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If they were using “clicks” as the measure for ROI they weren’t proving it to begin with.
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It is hard to prove roi when clicks disappear. Also, this AI search thing feels like hype at the moment.
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In a previous gig I used to use unique ID tags on every CTA, given SEO, PPC and ECRM all had bespoke landing pages. So we knew the channel and URL every lead came from and could then track sales and revenue, which our targets were based on. It was really rudimentary, but it was the best we could do.
AI search was more of a ‘make sure we’re on top of this’ and AhRefs and SEMRush have AI tracking that you can use.
You can also track actual referrals from AI on GA4 (and conversions etc), but not AI Overviews (you can get an idea of how much comes from AIOverviews using text highlights that Google uses, otherwise GSC position 1.0 will be AIO).
Current gig, we can’t go as granular with conversions, so SEMrush AI tracking + GA4 for visibility changes.
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Honestly, we’ve shifted to ‘visibility in answers’ as a KPI. If we’re showing up in AI summaries, we treat it like top-of-funnel awareness. Then we map spikes in direct traffic and conversions after. It still early, but limy helps us to see where we’re being surfaced in ai engines.
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With years in this field, I would say more traffic does not mean more business. If you are in the news and media business, that is different.
But traffic through which you can convert is the real metric here.
Many of the YouTube SEO guys who have learned the scheme “SEO + blog = millionaire” are getting busted.
A real marketer would know that focusing on key commercial keywords and optimisation is the key.
I am working on a website where our informational clicks have declined YoY but our commerical traffic are gaining track because now we make decision based purely on the intent of the searchers.
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i see the same issue everywhere, ai search is basically zeroing out clicks while still influencing decisions behind the scenes. the biggest advantage now is shifting to visibility metrics over traffic, like how often your brand shows up in ai summaries or chat responses. compare that to traditional seo where ctr ruled, but here you gotta track indirect signals such as branded searches spiking after ai exposure. we’re using attribution models that tie ai mentions to downstream revenue, like monitoring uTM params on direct visits post-ai query. a tool i found for ai search optimized content has been key, it helps create stuff that gets featured in models and we measure the lift in conversions from there. honestly, it’s more about proving influence than raw visits these days.
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The ROI question is the right one to be asking, and most CMOs are stuck on it because the measurement stack doesn’t exist yet in most orgs.
Traffic drop from AI overviews is real and accelerating, especially for informational queries. Proving ROI on AI visibility investment requires tracking something different than what GA4 shows you.
The teams I’ve seen handle this well are doing a few things: (1) tracking brand mention rate in AI responses as a leading indicator, separate from traffic – so running 30-40 relevant queries in ChatGPT, Perplexity, and Claude weekly and logging where they appear, (2) correlating those mention rates with direct traffic and branded search volume, since AI visibility tends to drive brand recall rather than immediate clicks, (3) treating AI citations as a conversion signal in their attribution model – when someone finds you via AI and visits directly, GA4 records it as direct traffic, not AI referral, so you need a separate tracking layer.
The Conductor stat sounds right directionally. The question is whether that investment is going toward AI content generation (most of it) or AI visibility measurement (almost nobody yet). The former doesn’t move the needle much if you’re already producing content. The latter is where the actual gap is.
SEOforGPT sits on the measurement side – tracks visibility across AI engines so you can show before/after numbers when you make content or distribution changes. Still an emerging space but the CMO ROI pressure is exactly what’s pushing adoption.
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We’re building a blended model where we are combining AI visibility and CRM revenue. Basically, if we show up in tools like ChatGPT or Perplexity, we tag that as influence, then track pipeline velocity and deal close rates. It’s less about last-click now and more about ‘did ai touch this journey’. Not perfect, but leadership cares more about pipeline than traffic anyway.
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