Two linked layers

AGENTIC SHOPPINGbuyer room · privateManage buyer room

Two linked layers. The measurement layer records when large language models surface a brand in response to buying-intent prompts across ChatGPT, Perplexity and Google AI and Gemini, then attributes those conversations through to actual revenue — producing prompt-to-purchase pairs, which competitor wins a given prompt, and a share-of-revenue-influenced-by-AI measure broken down by channel, model and product. The second layer is the byproduct of a real deployed shopping agent: Amy operates as an active buyer who researches options, compares prices, applies discounts and completes purchases, while simultaneously auditing the brands she shops from, identifying discovery, parsing and checkout blockers and issuing prioritised fixes. Delivery of the services layer also implies operational artefacts — machine-parseable structured product feeds with full variant data syndicated to agents, ACP endpoints issuing delegated vault tokens under explicit allowance constraints, Shared Payment Token integration with tokens described as scoped, bounded and observable, and agent-aware fraud-stack retuning data separating legitimate agent traffic from agent-specific attack patterns