Your Customers Are Becoming Your Search Strategy

Dan Lievens on capturing real customer experiences for AI search, why keyword-based SEO still matters, and what early citation tracking can and cannot tell us.

By Dan Lievens, co-owner of Share One. Originally published on LinkedIn on September 11, 2026.

Short answer: Customers describe their problems, doubts, and experiences in the language future buyers use when asking AI tools for advice. Capturing those stories and making them discoverable can complement traditional SEO. Dan’s early observations are encouraging, but a few leads and one citation do not establish a pattern or guarantee AI visibility.

For most of marketing history, search strategy has meant one thing. Figure out what people are typing into Google, and build content that ranks for those words. Keyword research, meta descriptions, backlinks, all of it built around the idea that a search engine reads text and decides what deserves to be found.

That approach still works, at least for now. But the longer I watch how people actually use AI to research things, the more I think it's becoming incomplete in a way most businesses haven't caught up to yet.

AI doesn't search the way Google does

A traditional search engine matches words. You type a phrase, it finds pages containing similar phrases, and it ranks them by a mix of relevance and authority. A lot of modern SEO exists because that system rewards specific, predictable patterns.

AI tools work differently, and I've been watching this up close since we started tracking real buyer questions across ChatGPT and Perplexity a couple months ago. People don't phrase these questions like keywords. They phrase them like something they'd ask a friend who's already been through it, worded exactly the way they'd actually say it out loud.

That shift matters more than it sounds like it does. The raw material AI tools draw from isn't optimized page titles and header tags. It's whatever language actually exists describing real experiences with real problems.

Your customers already speak the language your future customers are searching in

Here's the part I find genuinely interesting. When a customer describes their own experience, in their own words, they naturally use the vocabulary of the problem itself. What they were worried about before buying. What almost stopped them. What they compared you against. What surprised them once they actually started using whatever you sell.

That's almost word for word the kind of language someone else would type into an AI tool when trying to figure out whether to trust you. A marketing team writing website copy is optimizing for clarity and persuasion. A customer describing their actual experience is, without even trying to, optimizing for exactly the specific, human, first-person language that answers a very specific question.

We actually saw a version of this early on. Back in August, within a month of launching, one of our clients picked up a new lead who found them through a GPT search, and two others heard from existing customers who said they'd started noticing them more online. Three data points aren't a pattern, and I said so at the time. But looking back, what all three had in common wasn't a change in marketing. It was that real customer language, already sitting in a story someone told us, had become findable somewhere it hadn't been before.

This changes what "search strategy" should mean

Most businesses have this raw material somewhere. It's sitting in support tickets, sales call transcripts, casual conversations that never get written down at all. Very little of it ever gets captured in a form that's actually discoverable. If AI tools are increasingly answering buying questions by synthesizing real experience rather than matching keywords, the businesses with the strongest search strategy going forward may not be the ones with the best-optimized website. They may be the ones with the deepest, most honest library of real customer experience, captured and made discoverable in a way a language model can actually find and use.

I don't think keyword-based search disappears anytime soon. But the businesses paying closest attention to AI search right now are starting to realize the raw material worth optimizing isn't just their own website copy anymore. It's the accumulated, honest experience of the people who've already done business with them. If that's true, the customer story you didn't bother to capture last month wasn't just a missed testimonial. It may have been a missed piece of your search strategy.

That's the whole premise behind Share One Reviews, capturing that experience directly from the person who lived it, on camera, before it gets lost in a support ticket or forgotten entirely. We're still watching to see how much of it actually gets found, last week's first citation among the 3,006 questions we track being the clearest sign yet that some of it already is.

Explore related customer evidence strategies

Read Google Ranked Pages. AI Will Rank Evidence. and Why Every Business Needs a Public Library of Customer Experiences, or explore Share One Reviews.