Get your products into ChatGPT shopping

What "ChatGPT shopping" actually means

ChatGPT increasingly recommends products directly inside a conversation. Ask it for "a quiet under-desk treadmill under $400" or "the best mirrorless camera for travel," and instead of ten links you get named products with reasons. That shift — from a page of results to a single recommended answer — is the whole game for merchants. There is one slot, and either your product is in it or it isn't.

Those recommendations are built from product data the model can actually read and trust: structured attributes, evidence behind the claims, and pages or feeds that are machine-readable. As assistants move toward agentic commerce, discovery is running more and more on that structured layer rather than on keyword-stuffed marketing copy.

Why your products may not be showing up

• Missing structured attributes. If the specs a shopper filters on (size, capacity, compatibility, material) aren't present and machine-readable, the assistant can't confirm you're a match — so it skips you.
• No evidence to cite. "Best-in-class" means nothing to an answer engine. Claims without a source it can ground don't get repeated.
• Pages and feeds AI can't parse. Content buried in images, scripts, or thin marketing pages is invisible to the systems that assemble the answer.

Related: AEO vs SEO comparison · Get cited by ChatGPT · AEO FAQ.

How to make your catalog ChatGPT-ready

1. Paste a product URL into Hasmord's free check to get an AEO score for how answer-ready it is.
2. Review the exact gaps — missing attributes, unsupported claims, structure problems — instead of guessing.
3. Fix the product's structure and add real, citable evidence for its key claims.
4. Publish an answer-ready public page (and keep your product feed accurate) so AI can read and cite it.
5. Track whether AI assistants actually surface and cite your product over time, and keep improving the weak spots.

Start with one product, free

You don't need a project to find out where you stand. Score a single product URL for free, see what's holding it back from being recommended, and fix it. Then scale across your catalog as it pays off.

Frequently asked questions

What is ChatGPT shopping?

ChatGPT shopping is when ChatGPT recommends specific products inside a conversation — for example, when a shopper asks for the best option in a category or for something that fits certain constraints. Instead of a list of links, the assistant names products and explains why, drawing on structured product data and web pages it can read.

How do products get recommended in ChatGPT?

Recommendations are driven by product data the model can access and trust: structured attributes (specs, price, availability), evidence a claim can be grounded in, and answer-ready public pages or product feeds. Pages that are hard to parse, missing key attributes, or lacking evidence are far less likely to be cited.

How do I get my products to show up in ChatGPT?

Make each product answer-ready: complete the attributes shoppers filter on, add evidence for your claims, and publish a page (and feed) an AI can read and cite. Hasmord scores a product URL for free, shows the exact gaps, and helps you fix and publish.

Is optimizing for ChatGPT different from SEO?

It overlaps but is not the same. Traditional SEO optimizes to rank a page in a list of blue links. Answer Engine Optimization (AEO) optimizes so an assistant can retrieve, trust, and cite your product when it answers a shopper directly. Structure and evidence matter more than keywords.