Why Nissan's AMIEO region decided early that AI search mattered and how the shift from a click economy to a reputation economy changed the way the brand thinks about visibility, customer language, and measurement.
Customer Story — Nissan × Qwairy Ask any AI model today which car to buy, and it will happily give you an answer — naming brands, weighing trade-offs, recommending models. For a global carmaker, that raises a simple, high-stakes question: when the model talks, is your brand in the conversation, and is it spoken of well? Nissan decided early that it needed to know. "We are shifting from a click economy (being visible in the top three, top ten results) to a reputation economy, or an influence economy. It's not only about being in the top results. It's about being visible and positively mentioned. That's a big shift." — Pierre Machoel, Digital Content & Performance Manager, Nissan AMIEO
Pierre Machoel is Digital Content & Performance Manager for Nissan 's AMIEO region (Africa, Middle East, India, Europe & Oceania), where he leads digital performance and content including strategic topics like search and GEO. With more than 20 years in the industry across sales, marketing, after-sales and product marketing, his mandate is straightforward: make sure Nissan's online experience actually drives performance, and turn insights into action. Buying a car is one of the most considered purchases a person makes. Customers spend weeks researching, comparing and seeking advice on a genuinely complex product — and electric vehicles have only raised the difficulty.
"It's such a complex process to understand the line-up, the differences between the vehicles. With electric vehicles coming, it's even more complex to understand for people who are not comfortable with that. Our mission as customer experience is to facilitate all that for the customer." That's precisely the kind of research AI assistants now absorb. If a prospective buyer spends twenty minutes with an AI assistant narrowing down a shortlist, the brand that gets named and recommended at the end has a decisive advantage and the one that's absent, or described inaccurately, quietly loses. Which is why, for Pierre, the decision to invest in GEO wasn't a difficult one. "Looking at the figures, at customer behaviours, at how AI search influences every stage of the purchase funnel from consideration to purchase — for us it was a no-brainer. If we're not ready right now, we'll lose the search battle. There was no doubt it was a critical success factor." And unlike classic SEO, this new layer isn't only about ranking. "In SEO, reputation wasn't really a big deal — you worked on rank and traffic, and that was 90% of the job. Now people ask AI for opinions. So: what does the AI know about me? Is it talking positively? That's a new layer on top of SEO."
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Before Qwairy, Nissan's teams did what everyone did: opened the AI assistants and checked by hand. It taught them something but it didn't scale, and it produced as many opinions as there were people.
"What did we have before Qwairy? Practically nothing. Everyone was doing manual checks. It helped us learn, but it wasn't scalable, and it was based on personal impressions — which is the worst thing, because everyone in the company has a different impression and you cannot learn from that." What Qwairy introduced was, above all, a source of truth: consistency, a way to track and measure over time, and a shared rationale a large organisation can actually build on. "From the moment you bring figures, you can show evolution and impact. It's not about perception anymore, it's about facts. And then you have a common ground you can build on to prioritise and define actions." Starting early mattered too. Nearly a year of continuous tracking gives the team something a one-off audit never can: context. When your baseline is a single snapshot, tomorrow's answer might contradict today's. With history behind you, a change actually means something. This was never a solo effort, either. GEO at Nissan is a collaboration between the AMIEO team, Qwairy, and Nissan's agency partners at Publicis and Razorfish a point Pierre was keen to make himself: "It's a teamwork in the end."
One of Nissan's founding GEO principles is disarmingly simple and surprisingly hard: use the same words as the customer.
"People going to AI use their own words. They're not going to use marketing jargon or the words we use internally as marketers. So making sure we use the same words as the customer and that everyone in the company uses them consistently is a big change. It seems super easy, but it's more difficult than it sounds." The benefit runs well beyond GEO: clearer, more consistent brand language everywhere. And it's a quiet correction to a habit SEO drifted into — chasing volumes and building content for the tool rather than the person. "Starting with the customer, no one can argue against that. Bringing structure and rationale, and starting with the customer, is always a good thing to do." What also makes it work is that GEO isn't treated as a channel sitting in one team's corner. Visibility in AI answers is shaped by everything a brand says publicly (web, PR, social, media) which makes it a cross-functional subject by nature. "It needs to be a cross-functional approach to make it work. It's not only about your website, not only about PR."
Nissan is deliberately measured about numbers, as a global brand should be. But the direction of travel is clear, and the most important outcome wasn't a metric at all.
"The biggest improvement was to prove this was something we could measure and something we could act on to improve our performance. That's good news. Because the alternative is: 'AI is too complex, we don't know how it works, let's drop it.' Instead, there are ways to monitor and influence it, and we've seen meaningful results." The deepest shift, though, isn't a tactic, it's a mindset. GEO adds a new layer on top of everything SEO has built: not just being present, but being positively present. "All the work we've done for years in SEO is still valid we're continuing it. But we need to add this new layer on top: to surface, and to hopefully influence, the results." For a brand where trust drives one of the biggest purchases a customer makes, that layer isn't optional. It's the game.
Qwairy is the Generative Engine Optimization platform that helps brands measure and improve their visibility across AI answer engines ChatGPT, Claude, Perplexity, Gemini, Copilot, Grok, and more. From brand mentions and source citations to sentiment, share of voice, and competitor benchmarking, Qwairy turns the opaque world of AI search into something you can monitor, act on, and prove at the scale of a single site or a global, multi-market brand. Want to see how your brand shows up in AI search? Get a demo or start free .
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