UPDATE
Azoma Maps the Sources Feeding ChatGPT's Product Recommendations
A new Azoma analysis of millions of ChatGPT citations examines which sources the chatbot relies on when generating product recommendations — another data point on how AI answer engines are reshaping product discovery.
AI visibility firm Azoma has published an analysis of millions of source citations that ChatGPT draws on when generating shopping and product-recommendation answers, according to MarTech Cube. The premise: ChatGPT's shopping answers are synthesized from cited sources across the web rather than pulled directly from a single retailer's own catalog or feed.
For brands and retailers, this reinforces a shift already underway in product discovery. Visibility in AI answer engines depends heavily on which third-party sources get cited by the model — not solely on-site SEO or paid placement — which puts renewed emphasis on the quality, structure, and distribution of product data across the sources large language models actually reference.
- What's new: Azoma's citation analysis identifies which sources most often surface in ChatGPT's product recommendations.
- Why it matters: As zero-click, AI-mediated shopping grows, the sources an LLM cites — and the completeness of the product data those sources carry — increasingly determine which brands get recommended.
Source: https://www.martechcube.com/azoma-reveals-which-sources-chatgpt-uses-for-product-recommendations/