AI assistants promote online shopping brands rarely

Some of retail’s best-known brands are absent from two out of three AI shopping answers.

To see how often your brand is recommended, try asking ChatGPT, Gemini, and Perplexity to suggest brands in your category and market.

A recent analysis by Parcel Perform found that the median brand appears in roughly 1 in 3 relevant AI answers.

Over a quarter of brands are mentioned in 1 in 5 or fewer answers.

Adobe Analytics reports that AI-driven traffic to US retail sites has climbed more than 1,300% since October 2024.

This traffic converts 54% better than non-AI sources.

Shoppers arriving from AI assistants are pre-qualified and pre-convinced, but they may not be visiting your site if your brand is not mentioned in the AI answer.

In May 2026, Parcel Perform examined AI Commerce Visibility data for 152 brands in six retail categories across the US, UK, and Germany.

The results show that even top brands are often missing from AI answers.

For example, H&M is mentioned in fewer than 7% of fashion recommendations on one major AI engine.

Ranking and recall are two different problems.

While SEO programs optimize for ranking, AI assistants introduce the problem of recall: does the model bring up your brand when asked for a recommendation?

A brand can own the search rankings but barely exist in the sources AI actually reads.

The blind spot has a measurable shape.

Among the brands tracked on all three AI engines, more than half are effectively invisible on at least one engine.

Few brands have any idea which one.

Every answer that skips one brand names another, and the winners rarely follow category logic.

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In UK fashion, Next features in 65% of answers, while H&M sits under 7% on the same engine.

Retail leaders should measure their AI visibility before taking action.

Establish a baseline by learning how often each AI engine mentions your brand in every market.

Locate the gap, not just the score, to understand why an engine passes you over.

Treat your website as an AI source, not just a destination.

Machine-readable content on your own domain is the fastest lever to pull.

Structured product data, explicit delivery and returns information, and content that answers shoppers’ questions can help improve AI visibility.

For two decades, digital shelf strategy meant winning a ranked list.

The AI shelf plays by different rules: it is short, it speaks with confidence, and it is built from sources most brands have never audited.

Acting on this doesn’t demand a leap of faith.

It demands a willingness to look.

The measurement now exists, and checking takes less effort than a single SEO audit.

Brands that have never checked are the ones truly at risk.

According to the report, a brand can check its AI visibility by asking each engine to recommend brands in its category and market, and counting how often it comes up.

As AI-driven shopping continues to grow, brands must prioritize machine-readable content and structured data to remain competitive, adapting to the changing business environment.

When an assistant names three brands and yours isn’t one of them, you haven’t lost an impression – you’ve lost a decision.