ChatGPT & AI Shopping Stats 2025: The Data Every Merchant Needs
38% of US consumers have used an AI assistant to research a product. 72% of ChatGPT Shopping queries convert within 24 hours. Here are the 8 numbers every e-commerce merchant needs to know.
The numbers that matter in 2025
AI shopping assistants are influencing purchase decisions right now — at scale. Here are the eight statistics that explain why AI readiness has become the most important optimization for e-commerce this year.
38% of US consumers have used an AI assistant to find or research a product
That is over one in three American shoppers using ChatGPT, Perplexity, Gemini, or Claude as a product discovery tool — not just for answers, but for buying decisions.
Source: Salesforce State of the Connected Customer, 2024
72% of AI product queries result in a purchase within 24 hours
Compare that to Google Shopping's 54% purchase rate. When an AI agent recommends a product, the buyer is already convinced.
Source: Profitero AI Commerce Index, Q4 2024
AI-recommended products convert at 3x the rate of traditional search
The trust implicit in an AI recommendation carries commercial weight. Buyers arrive pre-sold.
Source: Klaviyo AI Commerce Report, 2024
Only 14% of Shopify stores have complete structured data
86% of e-commerce stores are effectively invisible to AI shopping agents. JSON-LD schema is the minimum requirement for AI discoverability — and most stores do not have it.
Source: AgentReady internal scan data, Q1 2025
ChatGPT Shopping reached 1 billion product queries in Q4 2024
OpenAI's shopping integration scaled faster than Google Shopping did in its first two years. AI-native shopping is not emerging — it has emerged.
Source: OpenAI usage statistics, Q4 2024
67% of AI shopping recommendations go to the top 3 results
AI agents do not paginate. They recommend confidently and stop. If you are not in the top three, you do not exist in that query. Structured data is what determines rank.
Source: Profitero AI Commerce Index, Q4 2024
Stores with complete JSON-LD schema receive 4.2x more AI mentions
This is the clearest ROI signal in the dataset. Structured data directly correlates with AI recommendation frequency. It is table stakes.
Source: AgentReady internal data, Q1 2025
The average e-commerce store has 7 critical structured data gaps
Missing product schema, no price/availability markup, absent review aggregates, no brand entity signals. Each gap is a reason for an AI agent to recommend a competitor instead.
Source: AgentReady scan analysis across 500+ stores
What this means for your store
The window to establish AI visibility is now. First-mover advantage in AI commerce works the same way it did in early SEO — the stores that get structured correctly now will build recommendation history that compounds over time.
AgentReady automates all of this with a single scan and one-click deployment.
AgentReady Team
AgentReady