Agentic Commerce Optimization (ACO): How Shops Make Products Visible and Orderable in AI Answers and for Agents
For over two decades, the path to an online purchase followed the same route: search on Google, click through blue links, compare offers across tabs, decide. Shops have optimized this path down to the last detail with SEO, ads, and conversion optimization.
That path is changing fundamentally. With ChatGPT Instant Checkout, Google AI Mode, Perplexity Shopping, Amazon Rufus, and Microsoft Copilot, AI agents increasingly take over the role humans used to play: they search offers, compare prices, check availability and return conditions – and sometimes make the purchase decision directly, without a human ever seeing a product detail page (PDP).
The consequence: visibility in a results list is no longer enough. A product can be beautifully presented and SEO-optimized – but if the underlying data can’t be unambiguously parsed by a machine, the agent simply won’t consider it. Visibility is the prerequisite, but machine selectability and orderability are the actual goal.
This is exactly where Agentic Commerce Optimization (ACO) comes in – the sub-discipline of Generative Engine Optimization (GEO) focused on the individual product: it optimizes product data so an autonomous agent can understand it, trust it, and, ideally, build a transaction on top of it. ACO is closer to data management than classic marketing – the PDP and product feed become the interface between shop and machine.
Agentic Commerce Optimization (ACO) as Part of GEO
There are now many definitions of Generative Engine Optimization. But much of it strikes me as undifferentiated and based on outdated SEO thinking. I’ve always viewed GEO as more than just SEO, since SEO is only one aspect of GEO. Over the past few months, I’ve been studying Agent-Based Commerce Optimization (ACO) very intensively and have identified it as a new, third area of GEO—one that most online stores should focus on in the future to achieve greater product visibility in AI responses and the emerging agent-based world.
Here’s my approach to integrating it with GEO.
To properly place ACO, it’s worth looking at the overarching discipline: Generative Engine Optimization (GEO) can be divided into three sub-areas that differ clearly in objective, ownership, and target audience.
Agentic Commerce Optimization (ACO) aims to make individual products visible in digital assistants’ answers and – ideally – directly orderable by agents. Two levers are central: optimizing trust signals for agents, and optimizing context at the individual product level. ACO is part of product communication in e-commerce – but unlike classic brand communication, it’s primarily data-driven, playing out mainly through shopping feeds and PDPs, the two levels this article focuses on. For shops without their own brand, mostly selling third-party brands, this is the clear priority, since brand building is barely available as a lever.
Brand Context Optimization pursues a different goal: positioning product, organization, or personal brands contextually to raise the probability of being mentioned or recommended in AI answers. It’s part of brand and corporate communication, primarily relevant for manufacturers, service providers, and utilities.
LLM Readability Optimization, finally, aims to make content easier for AI systems to process, increasing the probability of being cited as a source. It’s part of SEO/content marketing, especially relevant for companies monetizing website traffic – publishers, for example.
Central to this article: unlike the other two GEO areas, ACO doesn’t target the brand or editorial content as a whole, but consistently targets the level of the individual product – with all its data, attributes, and contextual information.
How Do AI Systems and Agents Discover Products?
Before an AI system can evaluate products, it first has to find them. This discovery process runs sequentially – understanding this logic reveals where a shop needs to intervene to become visible.
Step 1 – Matching against product entities already known to the foundation model.
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- Agentic Commerce Optimization (ACO): How Shops Make Products Visible and Orderable in AI Answers and for Agents - 30. July 2026
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- Guide to Brand Context Optimization for Generative Engine Optimization (GEO) - 4. February 2026
- Ultimate guide for llm readability optimization and better chunk relevance - 27. January 2026
