Why bottom-of-funnel content is winning in AI search

Google search traffic is dropping. If you’ve spent years building organic strategies, watching it happen in real time is uncomfortable. But it’s also clarifying.

I started seeing the shift across SaaS clients. Pages that had driven steady traffic for years — educational, top-of-funnel (TOFU) content — were losing ground. Not because the content got worse, but because users no longer needed to click. AI Overviews were doing the job for them.

That forced a decision: keep defending the old model or adjust the strategy. I chose to adjust.

What became clear pretty quickly is that while informational content is losing clicks, bottom-of-funnel (BOFU) content is holding up — and in many cases, driving more qualified leads.

This isn’t just a trend. It’s a shift in how value is created through search.

The pivot: Making BOFU the priority

My approach now is straightforward: 60% to 80% of output goes toward bottom- and mid-funnel content, with the remainder covering supporting TOFU topics that fill content cluster gaps or address timely industry conversations.

When I pitched this shift to clients, the conversation was easier than I expected. I put it simply: 

• “You have a choice between traffic and leads. If you want leads, here’s how we get there, even if it means less traffic.” 

I was upfront that overall traffic might dip. But whoever shows up is more likely to convert. That framing landed. Nobody argued for traffic when the alternative was a qualified pipeline.

The most effective bottom-of-funnel pieces are comprehensive comparison and listicle-style guides targeting high-intent queries.

One of the best examples is a guide to the best time-tracking software for construction. Before writing it, I built a reusable review methodology for the client. The guide called out pros and cons honestly, including the client’s own product, because that’s what builds credibility with readers evaluating their options.

It was factual, specific, and written for someone in the middle of a purchase decision, not someone casually browsing.

Within weeks, it became our most cited article in LLM responses. It’s now a cornerstone piece, regularly appearing in conversion paths and driving qualified leads. 

That single piece delivered more pipeline impact than a dozen informational posts from the previous quarter because it answers the question a buyer is actually asking, not the one that gets the most search volume.

Dig deeper: How to align your SEO strategy with the stages of buyer intent

TOFU isn’t dead. It just has a different job now.

I see many SEOs treating this as an either-or conversation. To be clear, I haven’t eliminated TOFU content. I’ve repositioned it.

TOFU’s job now is to build topical authority that helps BOFU pages rank. It’s the supporting structure, not the primary event. Guides and educational content:

• Support the content cluster.
• Establish expertise in Google’s eyes.
• Pass internal link equity to BOFU pages.

For my clients’ content, we’ve revisited the best-performing TOFU pieces and made them work harder.

We added sections that connect the information directly to the client’s product, supported by screenshots and subject matter expert quotes. 

We also redesigned calls to action to match the context and placed them throughout the content, rather than just at the end. 

For several clients, this led to a measurable increase in visitors navigating to demo request pages, without changing the informational intent.

The key distinction: You should still produce a meaningful volume of TOFU content, but make sure it has a unique angle — something not widely known or discussed from your perspective. 

In a sea of AI-generated content, that specificity is what drives performance.

Why this works in AI-driven search

People arriving from AI platforms show up with context. They’ve already explored the problem. They’re evaluating options. This aligns with how AI Overviews are applied in search results.

AI Overviews still appear far more often for informational queries than commercial ones. Ecommerce searches trigger them far less frequently, which helps protect bottom-of-funnel content — at least for now, though coverage for commercial and transactional queries is rising quickly.

That shift in behavior changes what content performs. Informational content loses value when answers are summarized upfront, while decision-stage content becomes more useful because it helps users compare options, validate choices, and move forward.

That’s why bottom-of-funnel content holds up. It aligns with where the user is in the process, not just what they searched for.

The time tracking software comparison piece I mentioned is a clear example. It’s consistently cited when users ask about construction time tracking tools. That visibility doesn’t always show up as a click, but it appears later — in branded search, direct visits, and ultimately, leads.

The attribution problem you need to accept

Here’s the challenge: bottom-of-funnel content’s value is systematically underreported in traditional analytics.

Someone sees your solution mentioned in a ChatGPT response, researches your brand, and converts later through a direct visit or branded search. In GA4, that journey often shows up as direct traffic. It looks like SEO didn’t contribute — but it did.

That’s why I’ve shifted clients away from traffic as the primary success metric and toward a broader set of signals, including:

• Brand search volume trends.
• Citation frequency in LLM platforms.
• Direct traffic movement after content publication.
• Conversion rate changes, even when traffic stays flat.

The ROI of BOFU and LLM-optimized content is higher than what dashboards show. If you’re evaluating performance based only on immediate click attribution, you’re missing where SEO is actually creating value.

Your practical playbook for shifting to BOFU

Here’s how to turn this shift into a practical content strategy:

• Audit your existing content for BOFU gaps: Before creating anything new, identify which high-intent, purchase-stage queries you have zero coverage on. These are often the easiest wins.
• Build comparison content with real methodology: Create a review framework you can reuse. Be honest about pros and cons, including your client’s product. Credibility is what makes these pieces rank and get cited.
• Retrofit your best TOFU pieces: Add product-connected sections, contextual CTAs, and subject matter expert input. Make the informational content do conversion work, too.
• Build LLM tracking into GA4 now: A regex-based segment capturing ChatGPT, Perplexity, Claude, and other AI referrers gives you visibility into a channel most clients have zero data on.
• Reset the success metrics conversation with clients: Traffic volume is increasingly a vanity metric. Lead quality, branded search growth, and conversion rate are what actually matter in this environment.

AI Overviews have fundamentally changed the economics of informational content.

But that disruption creates a strategic opening. Bottom-of-funnel content has always converted better. AI is simply removing the incentive to keep over-investing in content that drives traffic without driving revenue.

The window to shift strategy is still open. It won’t stay that way.