AI Commerce Visibility

AI commerce visibility: get your products recommended by AI assistants

Buyers increasingly ask ChatGPT, Gemini, Claude and Perplexity what to buy, and those assistants can only recommend products they can read and understand. A store with thin schema, vague product copy and no structured answers to buyer questions is invisible in that conversation, however good the products are. Becoming visible means giving AI a clear, structured account of what you sell, who it is for, and why.

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Why It Happens

Why AI assistants skip a store.

Thin structured data

Product schema limited to name and price, missing the attributes and use cases assistants match against questions.

Copy that describes but does not answer

Product pages written for browsing, not for the questions buyers actually ask an assistant.

No source of truth

Shipping, returns, sizing and compatibility scattered across pages, apps and PDFs, so assistants cannot cite them reliably.

Inconsistent catalogue signals

The same product described differently across the store, marketplaces and feeds.

What We Fix

What we prepare.

Schema depth

Structured data tuned for how AI crawlers parse commerce, well beyond what a theme ships with.

A Knowledge Base

One readable source of truth for policies, sizing, compatibility and buyer questions, that assistants can read and cite.

Product context

The attributes and use cases that match real buyer questions, written into the catalogue itself.

AI-referred traffic, measured

Visits and orders arriving from AI assistants tracked as their own channel, so the work is judged like any other.

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Operator Questions

What store owners ask us.

Can ChatGPT recommend my Shopify products?

Yes, if it can find and understand them. Assistants draw on what they can read about your products, so deeper structured data, clear product context and a readable source of truth for policies and specs are what make a store recommendable.

Is AI commerce visibility the same as SEO?

They overlap. Good technical SEO and structured data help both. The difference is that assistants answer questions rather than rank pages, so product content has to answer what buyers ask, not only match the keywords they type.

How do we know if AI assistants are sending us customers?

Track AI-referred visits and orders as their own channel in analytics. In most categories the volume is still smaller than search, but those visitors tend to arrive with their intent already formed.

Does this matter for every category?

It matters most where buyers ask comparison and suitability questions: skincare for a skin type, shoes for a kind of running, electronics by spec. Those are the questions assistants are already answering, with or without your products in the answer.

Where Else Stores Leak