AI visibility audits for ecommerce brands

Shoppers ask AI which product to buy and often take the first answer. If your brand is missing from that answer, or the engine gets your price or return policy wrong, you lose the sale before the shopper reaches your store. A HiBot audit shows you where that happens.

The problem

Shopping answers lean on review roundups, marketplaces, and retailer pages. An engine can rank you first for the category and then hand the specific recommendation to a rival, or repeat a promo code, price, or warranty term that is not true.

Questions your audit would test

Every audit is built from the questions your own customers ask, which you review and approve. These are typical examples, grouped by ANSWER category:

• Nomination: “What are the best running shoes for flat feet under $150?”
• Showdown: “Is [your brand] or [competitor] better quality?”
• Worth: “Does [your brand] offer free returns?”
• Reputation: “Are [your brand] products worth the price?”

What we have found in real audits

In our audit of Nike, the engines led with Nike on open category questions, then picked Adidas or New Balance once a rival was named. They also invented prices and a promo code. Read the full report.

Which plan fits

Panorama runs each question twice on five engines. Shopping answers vary from run to run, so the averaging gives a steadier read. HiBot Panorama is $499 per audit. Compare plans.

Also see: AI visibility audits for SaaS companies · Fix what AI assistants say about your startup · Make sure AI describes your healthcare services accurately · AI visibility audits for marketing agencies