#Stop Trying to Rank for Everything

The top of your funnel is gone. Not declining. Not underperforming. It was taken by the same AI technology you've been reading about for the past two years.

I'm not saying SEO is dead. The argument is more precise than that, and it matters. What I am saying is that the content strategy most of us have been running, publish broadly, capture every informational query, build topical authority through volume, is solving a problem that no longer exists. And if you've been watching your organic traffic quietly erode over the last 12 months, you already feel this.

Here's what the data shows, why the old playbook became obsolete, and what I'm doing about it.

#The Numbers Are Not a Dip

I want to start here because it's easy to explain away a bad month. This is not a bad month.

Research from Ryan Law and Xibeijia Guan using aggregated Google Search Console data found that the #1 ranking result on AI Overview keywords dropped from a 7.3% click-through rate to 2.6% between March 2024 and March 2025. That's a 34.5% collapse for the top position. Not page two. Position one.

Seer Interactive's November 2025 analysis of data through September 2025 across 3,119 informational queries found organic CTRs fell from 1.76% to 0.61% for AI Overview queries, a 61% decline. And here's the part that stopped me: even queries without AI Overviews showed a 41% CTR decline. The behavioral shift is broader than just the queries where AI Overviews appear.

The collapse is concentrated in informational queries — the "what is X" and "how does Y work" territory that top-of-funnel SEO was built to capture. Google's AI now handles those queries before the reader ever reaches a result to click. Your page might still rank. The traffic isn't coming because the AI Overview answered the question before the search results loaded.

This is not a ranking problem you can optimize your way out of.

#The Strategy Wasn't Wrong. The Problem It Solved Disappeared

I want to be clear about something: the top-of-funnel volume playbook was the right call for years. It was built for a specific world, one where Google served links, more content meant more coverage, and publishing consistently on a topic built the kind of authority that compounded over time. That world was real. The strategy worked.

What changed is that AI Overviews collapsed the entry point of the funnel. The queries that used to drive discovery traffic are now being answered in a box before the reader ever sees a result. The traffic didn't follow your rankings down. It was rerouted upstream, before it ever reached you.

There's a second problem I'm observing, though I'll be direct about what this is: it's a pattern I'm seeing, not a documented Google policy I can point to. Sites producing massive quantities of general informational content appear to be losing ground in ways that go beyond the AI Overview effect. My read is that this content is structurally identical to what AI generates at scale, and Google's quality signals are increasingly unable to distinguish between a thoughtful human-written overview and a generated one. If that's true, the "cover everything" approach doesn't just face an AI Overview problem, it faces a quality signal problem on top of it.

The conclusion isn't that the strategy failed. It's that the problem it solved has been automated away.

#10,000 Visitors Who Aren't Ready to Buy

Intent was always the variable that mattered. The difference now is that you can see it clearly because the top-of-funnel noise is being filtered out, whether you wanted it filtered or not.

10,000 visitors who found you through "what is content marketing" and aren't ready to buy are worth less than 300 visitors who arrived through "best AI content calendar that's best for a solo founder" and are comparing options right now. That was always true. It just used to be harder to argue because the 10,000 visitors made the dashboard look healthy.

The people ready to buy are still searching. They're just searching differently. "Email marketing for small business" gets answered by AI. "Which email tool has the best automation for a product launch sequence" does not, or at least not yet. That's where the opportunity is: the surgical query, the specific context, the problem-within-a-problem that AI Overviews don't cover because they're still general.

Intent-based content also has a shorter distance to conversion. Someone searching for a specific solution to a specific problem has already moved past the education phase. They're not asking "what is this category", they're asking "which one." Your content meeting them at that moment doesn't need to explain the space. It just needs to show why yours is the right choice.

#What I'm Changing With CopyJump

I've been publishing top-of-funnel content for CopyJump for months. Informational posts. Category explanations. Content designed to capture people at the start of their research. Traffic was growing. Rankings were moving. And none of it was turning into users.

The diagnosis wasn't hard once I stopped looking at the traffic number and started looking at who the traffic was. People at the beginning of a research journey, trying to understand a category, not ready to sign up for anything. I was publishing content that AI Overviews were increasingly built to replace, and attracting the exact audience that wasn't going to convert.

So I'm changing the approach. CopyJump's content calendar is shifting toward the questions someone asks when they're already evaluating options, when they know what they want and are deciding between specific solutions. The intent is different. The content is different. The traffic will be smaller. That's the point.

This lines up with something I wrote about when I first shared the thinking behind CopyJump: "Volume is not a strategy." Bulk AI content can hurt SEO performance and customer relevance. The "I should be posting more" problem that CopyJump was built to solve is real, but posting more of the wrong content isn't the answer. Posting content that's actually useful to someone ready to act is.

CopyJump was built to generate brand-specific content calibrated for fit, not volume. The pivot I'm making with CopyJump's own strategy is the same one the product was designed to enable: fewer, more intentional pieces aimed at people who are already deep enough into a problem to ask the specific question.

I'm also working on a full post that covers why Google is making these shifts, the forces driving AI Overview expansion and what it means for how we think about content strategy going forward. If you want the deeper technical picture of what's changing in search and why Google is prioritizing generative engine optimization now, it's there for the deeper dive.

#The Job Has Changed

You don't need to publish more content. You need to publish content that AI can't answer, content that only makes sense to someone who's already deep enough into a problem to ask the specific question.

That's where the real traffic is now. That's where your competitors are still publishing broad informational posts that AI Overviews are already replacing. And that's the job: stop trying to rank for everything, and start trying to rank for the things that actually convert.

If you want a tool that generates brand-specific content ideas built for fit rather than volume, CopyJump is built for exactly this. Three-day free trial. The link is there if it fits where you're going.