Clicks are Disappearing — and the Data Reveals It
“I think world is currently at a stage where agents are doing research on behalf of the user – which is why there are fewer clicks. Eventually we might see a world where even the final purchase is done by the AI”
— Abhishek Iyer, founder of ACME.BOT
#1 rank? Ripe for click? Not so fast.
Your traffic model Is based on clicks. But with AI Overviews answering B2B questions before they even land on your site, look at what data shows:
- An AI Overview is triggered for 82% of B2B keywords today
- In 2024 and 2025, B2B tech searches increased from 32% to 57%
Agents are conducting research and combining answers for the user. B2B buyers are getting what they need without clicking through to your pages. Even when your rankings stay constant, your pipeline (which took years to optimize for organic traffic) is quietly bleeding. The wipeout is real and it’s spreading fast – yet most teams haven’t noticed it yet. You will soon see how bad the click damage really is.
How Bad Is the CTR Damage, Really?
Want to think that ranking at the No. 1 spot means a win? The numbers say otherwise.
The moment AI Overviews dropped, we saw a 58% drop in position one CTR. That’s not just 1 percent or 2 percent. It’s your pipeline bleeding out. Here’s what data tells us:
| Metric | Impact |
|---|---|
| Organic CTR collapse (AIO queries) | 1.76% → 0.61% (61% drop) |
| User clicks on traditional results | 8% with AIO vs. 15% without |
| B2B software CTR decline | Up to 30% |
Rank #1, earn nothing. New economics.
Here’s the kicker: the clicks that do come through are higher quality. Users who click past the AI Overview are more intentful — they’re spending more time on-site, engaging deeper. Volume is a vanity metric now. Intention is what you’re actually buying.
Here’s where it stings. You built your entire funnel on traffic volume, and now, your agents are doing all of the initial research that buyers once did themselves. This flattens the very top of your funnel.
Why Agents Are Replacing Your Buyers at the Top of the Funnel
So CTR is cratering. And the industry’s busy A/B testing title tags. Meanwhile, the research phase itself is disappearing.
AI Overviews synthesize multiple sources into one answer, and buyers get exactly what they need without clicking anywhere. For B2B? This is especially brutal. Those complex, multi-stakeholder queries that used to send prospects hunting through five different sites — that’s precisely what AI Overviews were built to absorb in one shot.
“Right now, I believe we’re at a point where agents do research on behalf of the user — hence fewer clicks. At some point, I think we’ll enter a world where even the final purchase is done by the AI.”
— Abhishek Iyer, founder of ACME.BOT
Buyers don’t have to do as much as they used to, because the agent is doing the work for them. Less clicking isn’t a bug — it’s the impact of a structural change.
Here’s your new reality: the top-of-funnel used to be a hallway of open doors where organic discovery meant every vendor had a shot. Now? AI Overviews collapsed that into a single lobby summary board. One overview, multiple sources cited, zero incentive to wander.
Your content isn’t failing. The buyer simply stopped showing up — because an agent already handed them the answer before they even thought to click.
The Wrong Fix: Why Fully Automated Content Loses the AI Sourcing Game
Scale up AI content to combat fast agent content generation. That should fix it. Except it won’t.
“I think most tooling in agentic SEO are primarily seeing it as end-to-end automation. I think end-to-end automation adds zero value – since a purely synthesised article could be arrived at by the AI doing the search itself.”
— Abhishek Iyer, founder of ACME.BOT
Your generic “7 tips” posts? AI Overviews can synthesize those themselves. Why cite you when the AI can just remix what’s already there?
Citations typically go to:
- Non-commodity content with original viewpoints and first-hand experience
- Unique takes informed by actual expertise instead of a templated approach
Google’s guidance is clear: content that’s unique, specific, and authentic surfaces in AI features. Things the AI algorithm wouldn’t be able to make itself.
You’ll want to provide insights that AI can’t just whip up.
What Makes Content AI-Citable: The Human-in-the-Loop Advantage
That’s the starting point, not the whole story.
“I think the real value comes from human experience and expertise. Not many tools take this thought seriously and provide a way where human just provide the sharp key insights based on experience and expertise and the agent does all the other 95% of work required to create a publish worthy article.”
— Abhishek Iyer, founder of ACME.BOT
When AI Overviews pull and cite content, they’re looking for originality or citeability — ie. expert takes that go against the grain, proprietary data, and first-hand experience.
- Proprietary data and first-hand experience. Methodology you’ve run, data you’ve collected, case studies. Generic listicles get skipped.
- Expert takes that contradict consensus. You stake a position backed by real experience, LLMs flag it as signal. Bland agreeableness gets buried.
- Answers up front. LLMs often extract the opening (or first few) sentences of a paragraph to answer questions. If you start off with your direct answer, you’ve already won half the battle.
RAG rewards perspective — not effort. Google’s retrieval system can filter out commodity content and surface unique perspectives.
At ACME.BOT, the irreplaceable 5% from a human can make a study or article citable. The other 95% — publishing, structuring, research — can be handled completely by automation.
Build topical authority as your structural foundation.
Human-in-the-loop isn’t overhead. It’s your edge.
What B2B Marketers Should Be Doing Now
If you’re still thinking about page 1 rank position, you’re playing the wrong game. Here’s a few things that genuinely impact your case:
- Audit your query mix by performance. For example, while How-to queries saw a 63% CTR with AI Overviews, Definitional queries only saw a 31%. That’s a huge gap! Stop treating all traffic the same.
- Build original content AI can’t synthesize. Case studies from practitioners, proprietary research, first-hand experience. These are just a few examples of content AI can inherently cite. Generic takes are skipped over, while unique takes are clicked on and cited.
- Shift to human-in-the-loop production. Subject matter experts provide the right insights. Agents handle the remaining 95%. It’s leverage, not laziness.
- Measure citations, not just rankings. Google’s 2026 updates saw more inline citations and “explore new angles” links. What happens when your content is cited in an AI Overview? Even if it’s not the #1 result, it gets a click. If you aren’t a cited source when it comes to Google’s AI Overview, you’re already losing.
The only metric that matters now is whether or not someone trusts you enough to cite your source.