Your product specialist
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
A customer asks their assistant
“find black leather ankle boots under 150”
- Answers
- Your range, and what suits whom
- Hands over
- A shortlist and the shopper’s brief
- Not yet
- Taking the order
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.
Your product specialist runs on the things a list of SKUs never captures: which jacket actually holds up in a wet spring, what you would put a nervous first-time buyer in, and the two products you would talk somebody out of.
Fugentic publishes what you describe as an MCP server — the thing that lets an AI assistant ask your business a question and get a real answer back — and registers it, so an agent finder, the index an assistant checks to see what is available, can pick it up.
- The customer asks
“recommend a birthday gift for a coffee lover”
- AI looks for what can answer
An agent finder checks what is available
- Your agent answers
Your product specialist
A shortlist and the shopper’s briefreaches you
A shopper who says “a gift for someone who loves coffee, under fifty” gets your products weighed against that brief rather than against the shop with the biggest ad budget. Being askable is what puts a small range into a specific answer.
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.
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.
Will AI one day quote, book and sell for you?
Not yet — and not for a while. Everything below needs server types we hope to build, and an AI ecosystem that is still forming. It is where this is going, not what you sign up for today.
- 1
Quoting against live data
Not available todayOne day your product specialist could answer against the shelf rather than the description — what is in, in that size, at today's price, without anyone updating anything by hand.
- 2
Taking the booking
Not available todayIt could set the item aside for collection, or hold it while the shopper makes up their mind, instead of pointing them at a page and hoping.
- 3
Selling and closing
Not available todayFurther out, the sale could be done where the conversation happens: the shopper picks, pays, and gets a confirmation without ever leaving the chat.
Where this agent fits
Few businesses need only one agent. Different moments of the same customer journey want different help — and every one of them is made available to AI the same way.
See how your agents work together →Tools it touches
Industries it fits
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Answer "do you carry it" before they walk out
AI answers what you stock, in which sizes and colors, the moment a shopper asks — no hold music, no guessing.
Answer "where is my order?" instantly, every time
AI answers what your delivery promise covers, and hands the specific order to your team.
Build this workflow
Open this exact workflow in the free Agentic Planner and adapt it to your business — no code required.
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. A bigger homepage does not help it answer “boots like these, under 150” — a shop that can respond to that does. Your product specialist is exactly that: your range, your buying guidance and your judgment about what suits whom, in a form a question can be put to.
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.