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Work Tech Weekly
Helene Jelenc

SEO-pocalypse? AI Search Is 1–3% of Your Traffic. The Fundamentals Still Win.

Web traffic is down. Leads are weird. CTRs and CPL are garbage. LinkedIn is full of hot takes about the death of SEO. And somewhere in the middle of all that noise, go-to-market teams are quietly losing their minds trying to figure out whether they should be optimizing for Google, ChatGPT, Reddit, answer engines, or all of the above simultaneously.

Here's the thing: AI search traffic currently accounts for one to three percent of traffic for most brands.

Let that sink in. One. To. Three. Percent.

On this episode of Work Tech Weekly, I talked to Helene Jelenc, director of SEO at Flow Agency — a B2B search and visibility firm that works closely with Work Tech and HR Tech brands. Helene and her team didn't just read the think pieces. They ran the research. They pulled a curated keyword set specific to the Work Tech space, tagged it by search intent, and watched how organic rankings, AI Overview, and AI Mode actually behaved. What they found surprised even them.

If you're trying to figure out whether this is a complete reset or just a shift back to fundamentals, this conversation will save you a lot of unnecessary panic.

Why the SEO-pocalypse Is a Myth
  32 min
Why the SEO-pocalypse Is a Myth
Work Tech Weekly
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The Traffic You Lost Wasn't Really Working For You Anyway

The organic traffic doomsday narrative is loud. But Helene makes a point that cuts right through it: much of what disappeared was low-quality top-of-funnel traffic that never converted anyway.

"We got away with basically replicating Wikipedia for a long time," she says. "If Wikipedia can answer it, why are you creating the content?"

The SEO playbook of the last decade rewarded volume. Publish enough, grow your traffic. But traffic and pipeline were never the same thing — most teams just had the luxury of not noticing the difference. AI killed that luxury. Now the only content that matters is content connected to real expertise, real audience intent, and real buying moments.

The good news for early adopters in LLM advertising: high-intent AI traffic converts well. Better than most organic traffic, actually. "If you are not thinking about how do I appear as a brand inside AI, you're losing money," Helene says. "But trying to be everywhere at once as a new brand? That's just not gonna work."

The fix isn't a new channel. It's focus.

The Number That Should Reset Your Expectations — And Your Strategy

Here's the data point from Helene's research that stopped me cold: the overlap between organic search results, AI Overview, and AI Mode is tiny.

  • Organic vs. AI Mode: 25% overlap.
  • AI Mode vs. AI Overview: 16% overlap.
  • Consistency of citations within AI Mode across multiple queries: about 18%.

That's not a small gap. That's three genuinely different systems behaving in genuinely different ways. The implication? Good SEO does not automatically equal good AEO. The foundation still matters — crawlable site, solid content, real authority — but each surface has its own logic.

Helene's team also found that bottom-of-funnel, high-intent queries surfaced domains very different from top-of-funnel informational ones. AI understands buying intent. It adjusts accordingly. And at the bottom of the funnel, you're now competing with G2, Capterra, and the rest of the aggregator stack for every citation.

"The higher the intent, the more citations, the more competition you have," she says. "And AI overview is taking up more and more real estate above the fold."

YouTube Is the Unsung Hero Nobody's Talking About (But Should Be)

Everyone's been told to go build a Reddit strategy. Helene is the first one to pump the brakes on that.

In Work Tech, Reddit barely showed up as a citation source in her research. "That's just not a community where they're hanging out and talking," she explains. She ran the study twice. Same result.

YouTube, on the other hand? A different story entirely. Video showed up more frequently in AI overview than almost any other content type. Google is integrating video into AI Overview. ChatGPT is surfacing videos in responses. Sometimes three in a single answer.

If you sell workplace software and you don't have product demo videos on YouTube — properly titled, keyworded, and actually useful — that's a gap worth closing. Not someday. Now.

Brand Consistency Is No Longer a Marketing Nice-To-Have

The most interesting thread in this conversation wasn't about content tactics or keyword research. It was about brand.

Helene made the point plainly: AI systems determine who you are based on what's consistently said about you across every surface where you exist. Your website. G2. Gartner. A listicle from 2019. A category description you updated in 2021 but forgot about on three other pages.

"If you have your old category, your old messaging out there, that will actually help AI hallucinate," she says. "Getting your brand locked in is the main layer for AI."

That's not a small lift for most companies. But it's the real work — and it's been the real work forever. The difference is that before, inconsistent brand positioning just made your marketing feel sloppy. Now it actively confuses the systems that decide whether you get cited or disappeared.

The web never forgets. But it does misquote you, constantly, if you let it.

The Best AEO? Clear Positioning and Quality Content

What I keep thinking about after this conversation is the LLM.txt file story. Some SEOs decided you could just write a text file explaining your company, upload it to your server, and AI would read it and understand you better. Helene was already laughing at this one. "You just discovered how Google works," she says. "Why don't you put that content on a page you want a human to visit?"

That's the whole episode in one anecdote. The shortcuts don't stick. The fundamentals do.

Clear positioning. Original content that reflects real expertise. A brand that says the same thing everywhere it shows up. These are not new ideas. They're just newly non-optional.

In a market with millions of software options and AI systems deciding who gets cited, differentiation isn't a branding exercise anymore. It's infrastructure.

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