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The retail operating system

One engine for every retail decision.

Most retailers run four or five separate tools.

Search in one tool, pricing in another, ads bolted on top — nobody owns the order shoppers see, and margin leaks between them. The Unified Decision Engine governs relevance, inventory, margin and sponsored demand in one pass, on every surface, including the AI assistants now doing the shopping.

Start with one surface. Leave the rest of your stack untouched.

Need one thing first? Start with our AI product recommendation engine or AI site search.

How to monetise an AI shopping assistant | Particular Audience

To monetise an AI shopping assistant, connect it to a product search that returns relevant sponsored products, label them in answers, cap how many appear,.

How to monetise an AI shopping assistant

To monetise an AI shopping assistant, connect it to a product search that returns relevant sponsored products, label them in answers, cap how many appear, choose a price model, and measure with holdout tests.

1. Connect search

Use the ATS MCP server so the assistant receives organic and sponsored products in one call.

2. Turn on campaigns

Extend existing Sponsored Products campaigns to the assistant through Sponsored Prompts.

3. Set rules

Relevance floor, sponsored cap per answer, labelling and category rules.

4. Price and measure

Choose CPM, CPC, cost per sale or sponsorship. Hold out a random share of conversations to measure true effect.

Run it with Particular Audience

Sponsored Prompts runs on Adaptive Transformer Search and the open-source ATS MCP server. Advertisers pick products or a collection; each item surfaces automatically, labelled, in chats, prompts and AI searches where it scores highly.

Sources

How Particular Audience does it

Frequently asked questions

How long does setup take?

It depends on the assistant and catalogue; confirm with PA for your stack.

Who handles pacing?

PA notifies AdOps and the advertiser; the retailer decides the response.

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