Use these answers to define a requirement before you choose a platform or commission an implementation. Each guide explains the decision in practical terms and points to the next evaluation step, with product information and evidence kept within their documented scope.

• What is a retail media network?: Understand what a retail media network sells, how media and product revenue differ, and the data, operations and measurement a retailer needs to launch.
• Onsite vs offsite retail media: Compare onsite and offsite retail media by inventory, data, control and measurement. Separate non-endemic advertising from channel choice and check access.
• How do sponsored products work?: Follow a sponsored product from campaign setup to eligibility, ranking, billing and reporting. See why a bid ceiling, charged click and attributed sale differ.
• Vector search vs keyword search for ecommerce: Compare vector, keyword and hybrid ecommerce search. Understand exact matches, semantic recall, filters and ranking, then evaluate them on your own catalogue.
• How to choose a retail media platform: Evaluate retail media platforms with tested requirements for relevance, operations, reporting and finance. Compare build, buy and augmentation on your scope.
• How many sponsored products should search results show?: Find the right sponsored-product density with a controlled test. Measure media income, commerce contribution, relevance and displacement on the same scorecard.
• Similar products vs frequently bought together: which belongs where?: Choose recommendation logic for comparison, accessories, baskets and repeat purchase. See where similar products and frequently bought together each belong.
• One app for Shopify search, recommendations and bundles: what can you consolidate?: Review your Shopify app stack by task, not app count. Compare search, recommendations and bundles while preserving specialist checkout and cart needs.
• What is agentic commerce?: Understand agentic commerce across discovery, comparison and authorised action. Map product data, permissions, checkout boundaries and useful retail measures.
• ACP, UCP and MCP: what retailers should compare: Compare ACP, UCP and MCP by the job each performs. Separate commerce capabilities, tool connections, platform access and retailer implementation requirements.
• ChatGPT ads, organic shopping and retailer sponsored products: Separate ChatGPT advertising, organic shopping results and retailer sponsored products. Understand buying routes, control boundaries and channel measurement.
• Relevance and click prediction in ecommerce search: Understand relevance, predicted clicks and commercial objectives in ecommerce search. Compare ranking choices with clear constraints and testable outcomes.
• What is tROAS in retail media?: Understand target ROAS for sponsored-product campaigns, how it differs from actual ROAS and profit, and the reporting checks needed before setting a goal.
• 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..
• What is conversational commerce advertising?: Conversational commerce advertising places sponsored products inside chat and voice shopping conversations. The ad is a product in the answer, chosen.
• Can retailers run ads in an AI chatbot?: Yes. A retailer can show sponsored products inside its own AI chatbot, as long as they are relevant to the request and labelled. The products come through.
• 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.
• Are sponsored results allowed in AI chat?: Sponsored results are generally allowed in a retailer's own AI chat if they are clearly disclosed as advertising and follow the platform and local.
• How do retailers monetise AI shopping assistants?: Retailers monetise AI shopping assistants by selling relevant, labelled sponsored product placements inside the assistant's answers, priced on CPM, CPC,.
• How is AI chat ad inventory priced?: AI chat ad inventory can be sold on CPM, CPC, cost per sale or a flat sponsorship, options PA supports with a defined billing contract. Because an answer shows only a few products, each slot is scarcer.
• Can brands advertise inside AI assistants?: Yes. Brands can fund labelled sponsored placements inside AI shopping answers, shown only when a request is a strong match by meaning for the brand's.
• How do brands get into AI shopping answers?: Brands get into AI shopping answers through relevant product content, live retailer availability and, where a retailer or app offers it, labelled.
• Do brands need retailer data to run AI ads?: A brand needs authorised, timestamped price and stock feeds from participating retailers so an AI answer can say where a product is available. It does not need shopper data.
• Who pays for sponsored prompts — the brand or the retailer?: The advertiser pays. In a retailer's assistant that is usually the brand buying through the retailer's media network; in a brand's own discovery app.
• How do appliance brands sell in AI assistants without their own online store?: An appliance brand without its own online store can run an AI discovery app that answers buying questions and sends each shopper to a participating.
• Why does store-level stock matter in AI shopping answers?: An AI answer that says a product is available when the local store is out of stock loses the sale and the shopper's trust. Store-level stock lets the.

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