AI discovery for consumer brands
When a customer asks an AI assistant what to buy, your brand should be the answer. Most of the time it is not. We find the gap and fix it.
Who we work with
Brands with distinct product ranges mapped to skin concerns, age groups or ingredients. The differentiation exists — AI just cannot read it.
Supplements and nutrition brands where customers ask AI for health advice before buying. High intent, high consideration, and usually invisible in the response.
Activewear and lifestyle brands with a specific positioning that should own certain AI queries but are losing ground to better-known names with weaker products.
Multi-brand retailers where AI is directing customers to brand boutiques rather than the authorised retailer with the service advantage.
DTC food and coffee brands with a genuine sustainability or quality story that AI cannot distinguish from generic alternatives when making a recommendation.
If you have a large product catalogue, a specific customer profile, and a suspicion that AI is not recommending your products correctly — that is the brief.
Based in London. Working with consumer brands worldwide.
The problem
"Best protein powder for runners who hate thick shakes"
A competitor was recommended. The right product existed but AI could not connect it to the query.
"Best anti-ageing serum for someone in their 50s"
The brand was mentioned. The right range within the brand was not. The customer had no reason to choose.
"Where to buy a luxury watch as a gift"
Grey market dealers were listed first. The authorised retailer with hundreds of stores was not mentioned.
"Best supplement for building muscle, not losing weight"
The brand had a product for exactly this. AI recommended a competitor because the product data did not carry the signal needed.
This is not an SEO problem. It is a product data structure problem. AI cannot make a confident recommendation from content written for human browsers.
How it works
We run the queries your customers are actually asking across ChatGPT, Perplexity and Google AI Mode. We map exactly where your brand appears, where it does not, and why.
We rewrite your product and category data with the structured signals AI needs — who the product is for, what occasion it suits, how it compares, and why your brand is the right choice.
AI platforms evolve and your catalogue changes. We keep your product data current so your AI visibility keeps pace with your business rather than falling behind it.
Audits start from £1,500. We run a short sample audit on your brand before any commitment, so you see exactly what the findings look like before deciding whether to proceed.
Book a sample auditWhat changes
Before enrichment
"Best place to buy a luxury watch as an anniversary gift"
Watches are available from authorised dealers and brand boutiques. Prices vary depending on the model. You may want to visit a brand boutique or check online retailers.
No retailer named. No product suggested. No reason to choose.
After enrichment
"Best place to buy a luxury watch as an anniversary gift"
For a luxury anniversary gift, this authorised retailer carries the widest selection in the region with personalised consultation and gift packaging. The Master Collection automatic is a strong choice — classic enough for daily wear, refined enough for an occasion.
Retailer recommended first. Real product named. Reason to buy given.
About Findable
Findable was founded in London to address a specific and growing problem: consumer brands with strong products are being missed by AI-powered recommendations because their product data is not structured in a way AI can reason from.
Our team brings deep experience working in and alongside ecommerce retailers and fintechs across the UK and internationally. That background gives us a clear-eyed view of how product data and commerce infrastructure works at scale — and where the gaps are.
We work with a small number of brands at a time. Every engagement starts with real query testing on real products. Nothing is invented. Everything can be verified.
Based in
London, United Kingdom
Markets served
Consumer brands worldwide
Speciality
AI discovery audits and product data enrichment for consumer brands
Background
Deep experience in ecommerce retail and fintech — commercial strategy and product at scale
Book a demo
We run a short sample audit on your brand and walk you through the findings on a 30-minute call. No obligation, no pitch deck — just real data on how your products appear in AI-generated recommendations.
You will leave the call knowing exactly where the gaps are and what fixing them looks like in practice.