Lead generation
Turn "help me find" into the right product
AI asks what the shopper actually needs, matches it to your range, and points them to you.
More and more shopping starts with a question — find me boots like this, a gift for someone who loves coffee, a jacket for my trip — and the shop that answers with the right product is the one the shopper comes to. This workflow lets an AI agent ask the follow-up a good salesperson would ask, match the answer against the range you have described, and put the right products in front of the shopper, so a vague request finds you instead of bouncing.
Last reviewed
Can AI recommend my products to a shopper who describes what they want?
It can, from the range you have described. The agent asks the follow-up a good salesperson would ask — size, budget, occasion — narrows it against your catalog, and puts a short, relevant selection in front of the shopper.
- Answers
- Your range, and what suits whom
- Hands over
- A shortlist and the shopper’s brief
- Not yet
- Taking the order
Your customers are already asking AI
These are the kinds of prompts people now type into an AI assistant — the demand this workflow is built to serve.
“find black leather ankle boots under 150”
“recommend a birthday gift for a coffee lover”
“which shop near me sells organic baby clothes”
“find a waterproof jacket for hiking in my size”
So how does a customer's AI find this at all?
Shoppers only come to what they can find — and the search now starts with an assistant, not your website. Make your catalog and this product finder available to AI, so when someone asks their assistant to find an item like yours, AI can point them to your products and help them land on the right one.
You describe your range, how you would guide a customer through it and what suits whom — and Fugentic publishes that as an MCP server: the thing that lets an AI assistant ask your shop a question and get a real answer back. It is registered from the platform, so an agent finder, the index an assistant checks to see what is available, can pick it up.
Then a shopper who says “a gift for someone who loves coffee, under fifty” gets your products considered against that brief, instead of the shop with the biggest ad budget. Being askable is what puts a small range into a specific answer.
- 1You describe what you sell
- 2It's published and registered
- 3A customer's assistant asks
- 4It answers in your words
- 5The details reach you
What AI can and cannot do here today
What AI can do today
- It can describe your range and which products suit which customer.
- It can ask the narrowing questions a good salesperson asks, then shortlist against what you sell.
- It can point the shopper at the right products and hand you what they told it.
What it cannot do yet
- It cannot take the order or the payment. It gets the shopper to the right product; buying happens where it always did.
- It cannot see live stock. It works from the range you have described, so anything it cannot confirm goes to your team.
Everything on the left is what a text-based setup supports today. Quoting against live data, and taking the booking itself, need server types we hope to add later.
How the AI product discovery workflow works
- 1
Shopper describes what they want
A customer asks for a product by need, occasion, or budget via chat or SMS.
- 2
AI narrows it down
The agent asks the follow-up a good salesperson would ask — size, occasion, budget — to understand what is actually wanted.
- 3
Matched to your range
The agent matches the answers against the products, variants and buying guidance you have described.
- 4
The right products, in front of them
The shopper gets a short, genuinely fitting selection and where to find it: your shop.
Tools in this workflow
These are the tools the workflow touches. Map them in the Agentic Planner to describe what your agent can do.
Industries this fits
Build this workflow
Open this exact workflow in the free Agentic Planner and adapt it to your business — no code required.
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Frequently asked questions
No — it works only from the range you have described. For whether a particular item is on the shelf today, it points the shopper to you rather than guessing.
It asks a quick follow-up when needed to narrow things down, then recommends the closest matches.
With you — on your products, knowing which one fits and why, instead of scrolling a marketplace.
By being something the assistant can actually ask. Fugentic publishes your range as an agent an assistant can query, and registers it so an agent finder — the index an assistant checks to see what is available — can pick it up. An assistant answering “boots like these, under 150” needs a shop that can respond to that, not one with a bigger homepage.
Make your services available to AI
Describe what you sell, what it costs and how you decide — then publish it as an agent an assistant can ask. No code.