AI Visibility for Commerce

AI visibility for commerce is whether your products and brand show up when shoppers use AI assistants (ChatGPT, Google AI Mode and AI Overviews, Perplexity, Claude, Amazon Rufus) to decide what to buy. It is the equivalent of search visibility for a world where the shopper reads an answer instead of a list of links.

It is harder to measure than a Google ranking. Each assistant builds its answer differently, and the same product can appear in one conversation and not in another depending on how the question is asked. That is why visibility is tracked across a set of real shopper questions over time rather than checked once.

The channel is growing quickly. Adobe Analytics reported AI-driven traffic to US retail sites up 805 percent year over year over Black Friday 2025. For a longer treatment see Paz.ai's AI Visibility: The New SEO and the branded vs nonbranded AI visibility breakdown.

Five things decide most of it:

• Product information that answers the question. An assistant filtering for waterproof boots for wide feet needs those facts in the data. Complete attributes and plain, specific descriptions are the biggest lever.
• Reachability. The assistant has to be able to read your products: a crawlable site, a product feed where the platform accepts one, product schema, and merchant enrollment where required.
• Freshness. Prices, availability and specs that are current. Seer Interactive found 85 percent of AI Overview citations came from content published in the previous two years (as cited by Onely, December 2025).
• Third-party presence. Reviews, press and comparison guides corroborate what your own pages say. SE Ranking found brands with review-platform profiles were cited about three times as often by ChatGPT (November 2025).
• Consistency. The same product described the same way on your site, in your feed and on marketplaces. Disagreement between sources lowers confidence.

• A fixed question set. Fifteen to fifty questions your buyers actually ask, from "best running shoes for flat feet" to brand and product comparisons. The set should reflect your commercial priorities, not generic category terms.
• Scheduled runs. Ask the same questions in ChatGPT, Google AI Mode, Perplexity and AI Overviews on a schedule and record whether your products appear, where, and what the assistant says about them.
• Referral analytics. Track visits from chatgpt.com, perplexity.ai and Google AI surfaces in your analytics as a second signal.
• A baseline. The first run is the baseline. Everything after is measured against it.

Paz runs this as a service for ecommerce teams. A Paz expert agrees the questions that matter for your business, the platform tracks how your products appear across ChatGPT, Google AI Mode, Perplexity and Google AI Overviews, and the expert works through the gaps: completing attributes, rewriting descriptions, answering shopper questions on the page and clearing feed issues, using your own sources.

Our experts publish within agreed guidelines and bring exceptions to you. We use supported store or Merchant Center fields and hand PIM corrections to your PIM owner, and you see appearances over time against the baseline. See how the AI visibility service works, or check one product page to see what an assistant can and cannot read today.