On 29 April, OpenAI quietly introduced a new shopping feature to ChatGPT. Now, users can ask for things like:

• “I need a thoughtful gift for a cyclist friend who has everything”
• “What are some decent running shoes for someone just getting started?”

And ChatGPT responds with product cards — complete with images, pricing, reviews, and links — pulled directly from across the web.

No ads.
No bidding.
No marketplace.

Just structured content and conversational prompts.

It’s early days, but this update signals a new chapter in how people discover products online — and it’s one that brands should pay attention to.

How is ChatGPT sourcing product data?

At the moment, there’s no direct way for brands to upload their product feeds to ChatGPT. Instead, the platform draws on third-party sources — such as Shopify, Instacart, and other commerce platforms — as well as whatever it can crawl from the open web.

In short: you’re not submitting data — you’re being surfaced.

That means your visibility depends on:

• How well your product data is structured (JSON-LD, schema.org, metadata)
• How easily large language model bots — like OpenAI’s OAI-SearchBot — can crawl your content
• How well your copy reflects natural, intent-driven queries

If your site is blocking LLM crawlers or lacking clear, accessible structure, you may not appear — even if you’re ranking well on Google.

Why this caught our attention

As a digital marketing agency focused on SEO and performance content, this is one of those quiet shifts that can quickly become a major force.

• It changes how discovery happens: from keyword lists to conversation
• It bypasses paid visibility entirely
• It rewards clarity, relevance, and structure over budget

Right now, it’s ChatGPT. But it’s safe to assume others are already working on their own versions. AI-led product discovery may soon become a standard part of the search landscape.

What we’re doing (and suggesting)

We’re not calling this urgent — yet. But we are helping clients prepare by:

• Auditing structured data for accuracy and completeness
• Reviewing product and category copy for conversational tone and natural language
• Ensuring OAI-SearchBot (and similar crawlers) are allowed in robots.txt
• Monitoring AI-driven traffic sources for early trends

Brands that act early — focusing on clean data, useful content, and crawlability — will likely get surfaced first as these AI tools mature.

Final takeaway

This isn’t about abandoning Google. It’s about recognising that discovery is diversifying — and that AI platforms are starting to shape buyer journeys in new, conversational ways.

Your brand’s ability to show up in LLM platform conversations won’t depend on bidding strategy. It’ll depend on structure, clarity, and usefulness.
We’re watching closely, and helping clients get ahead of what’s next.