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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 do ads work in LLM shopping assistants? | Particular Audience

In a retailer's LLM shopping assistant, the language model does not choose ads. It calls the retailer's product search, which returns relevant organic and.

How do ads work in LLM shopping assistants?

In a retailer's LLM shopping assistant, the language model does not choose ads. It calls the retailer's product search, which returns relevant organic and sponsored products with sponsored ones marked. The model then writes the answer and labels them.

Why the model should not pick ads

Language models are good at conversation, not at auctions, pacing or reporting. Keep ranking and ad decisions in a decisioning layer the retailer controls.

The flow

Request, product search with meaning scoring, relevance check, auction among relevant products, blended answer, label. See how sponsored products get into an answer.

What the retailer sees

Impressions, clicks and sales for each sponsored product in conversation, reported separately from site inventory.

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

Can the LLM invent a sponsored product?

It should only present products the search returned. Instruct it never to describe an unreturned product as sponsored or available.

Does this need fine-tuning the model?

No. The ads come from search results, not from the model.

Related guides

  • Sponsored products in agentic and conversational AI: How retailers run sponsored products inside their own AI assistant, ChatGPT app or Claude connector: relevance-first ranking, labelling, CPM and CPC pricing, pacing and holdout measurement.
  • Retail MCP product search with Adaptive Transformer Search: Connect Adaptive Transformer Search to ChatGPT, Claude and onsite assistants through PA's open-source MCP server, with retailer-controlled ranking and checkout.
  • What are sponsored prompts?: Sponsored prompts are a retail media format for AI conversations. When a shopper asks a retailer's assistant, voice service or AI search for something,.
  • What is agentic retail media?: Agentic retail media is advertising that runs inside AI agents and assistants which act for shoppers: finding, comparing, reordering or swapping products..

Buyer questions · All guides