What does AI search say your product is for?
A company makes claims for its product — to investors, to the market, to itself. What counts is the experience people actually have of it: what it let them do, what they learned, what they now trust themselves to manage. The two rarely match. The outcome a person is after, in their own life, is often not the one the product was built to claim — and the work is to make people good at the first, not the second.
Engineer and builder, twenty years freelance. Products built for AB InBev, Sony PlayStation, Renault and Thales; an agile, product and automation transformation of customer service at Booking.com. I work inside a team on product, on building with AI, and on AI search — for makers of connected products, products for movement and bodywork, and hospitality and travel.
Three practices
Product work inside the team
Not strategy from above. I look at what people use, what they get done, and where they get sent back — then work on what is real.
An engagement looks like: A seat in the team, a product to own, decisions made from use.
Building with AI inside the team
Forward-deployed. Agents, harnesses and working code, built in your codebase and rituals — not handed over.
An engagement looks like: I build it, instrument it, and leave it running with the team.
AI search — what the engines say you are for
I read what ChatGPT, Perplexity and Google AI Overview tell buyers a product is for. I name the representation it has, the one it wants, and the path between them.
An engagement looks like: A measured representation, an intended one, the work between.
- Connected products: Connected products from zero for Renault, Vantiva, Baracoda and Thales; at AB InBev, the PerfectDraft programme to global launch — app, recommendation model and firmware as one product.
- Hospitality and travel: Travel and hospitality at Swisscom, Avis Budget and Wizz Air, and customer-service product at Booking.com.
- In my own practice: Gyrotonic, Airofit, PowerDot — the products I use, read and check against what they claim.
Since July 2026: more than 160 questions monitored, more than 4,600 AI answers read, more than 42,000 cited sources logged, across 8 brands and 5 markets, on ChatGPT, Perplexity and Google AI Overview.
Twenty minutes
No prep. AI search: three questions your buyers ask. Product work: the part that isn't working yet.
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Patrice Gorin is an engineer and builder, twenty years freelance.
He works inside a team on product, on building with AI, and on AI search — what ChatGPT, Perplexity and Google AI Overview say a product is for — for makers of connected products, products for movement and bodywork, and hospitality and travel.
Looking for something specific
- Work
- How I work
- agilebodyandmind.ai — AI search in wellness and sport
- agilebodyandmind.com — the guide