AI Commerce Visibility

What AI Commerce Visibility measures

AI Commerce Visibility is Perform.AI's monitoring product for how retailers and their products appear in AI-generated shopping answers. It helps e-commerce marketing teams examine product recommendations, mentions and sentiment across selected answer platforms. Its organizing unit is a product category and market, which suits retailers whose competitors differ between departments.

The vendor's launch announcement frames the product around brand visibility, product presence, sales-channel attribution and trust signals. The useful output is an evidence trail for a team's next investigation: what an assistant said, which product it named and what source it cited.

Product, channel and citation analysis

The product page documents SKU-level comparisons, direct-store versus marketplace recommendations, access to the full answers behind charts, and the ability to add newly detected competitors. Citation analysis identifies referenced pages and their frequency. A content workflow produces a brief for approval, followed by a draft that the team can edit.

The public visibility index illustrates the measurement approach. It has industry, country and platform selectors and distinguishes mention visibility from position in recommendation lists. Its displayed categories and prompts define the scope of the comparison. These scores should be read alongside the underlying questions rather than treated as a universal ranking of retailers.

Users and setup workflow

The agency information describes setup from a website URL, with generated categories, markets, competitors and prompts. It also documents separate client sub-accounts and branded dashboards and reports. This suits an agency comparing several retail clients, or an in-house team coordinating category managers and content editors.

For example, a footwear retailer could start with running shoes in one country. Check that the generated competitor set includes relevant retailers, not just manufacturers, and inspect prompts for the intended buyer and language. Run the selected set, then open answers where the retailer is absent or a marketplace is recommended instead of its own store.

Review cited pages for inaccurate product specifications, outdated delivery promises or missing returns information. Give the responsible content or operations owner a concrete correction to assess. Keep the prompt set stable for the next comparison so a change in the score is not confused with a change in the questions.

Measurement and product limits

AI responses can differ by platform, prompt wording, language, location and time. A monitored sample does not establish what every shopper sees or how much revenue the answers create. Inspect full responses and citations before interpreting sentiment or position.

Perform.AI emphasizes delivery and returns as trust signals, but that vendor positioning does not prove that a particular operational change causes higher AI visibility. AI Commerce Visibility is one product within a wider commerce suite; shipping, returns execution and shipment-data integrations should be evaluated under their own product scope.

Credit pricing and access

The product advertises usage-based credits for prompt runs, with top-ups and the option to pause tracking without a monthly commitment. Its calculator varies categories, markets, personas, models and languages. Introductory access is advertised; confirm the applicable trial terms, model coverage, refresh schedule and expected prompt cost before configuring a large international comparison.