Creator Reviews Are Becoming Part of AI Shopping Advice

A creator review used to have one obvious job: help a person decide whether a product was worth buying.

That same review now has another potential role. It can be part of the evidence a shopper expects when an AI assistant summarizes the choice for them.

On September 9, IAB published research from 2,200 people who had used AI for shopping research in the prior three months. 56% said they prefer AI recommendations that incorporate creator or influencer perspectives.

For marketers, that is a useful signal about the content that has to hold up once discovery moves from a feed or search result into an AI-generated recommendation. Product pages carry the factual load. Creator work can supply experience, comparisons and the language a buyer recognizes.

IAB CEO David Cohen put the trust issue plainly: “AI is reshaping how consumers discover and evaluate products, but as these tools become a more influential part of the shopping journey, trust will be a critical differentiator.”

The research doesn’t show that ChatGPT, Gemini or any other assistant automatically ranks creator posts above other sources. It measures what shoppers say they want from the recommendation. That distinction matters. The practical conclusion is about the evidence marketers put into the market, not a shortcut for gaming retrieval.

The creator asset is moving upstream

The most useful creator work answers a buying question with enough specificity for someone else to assess it.

That might be a video showing how a product performs after a month, a comparison with the alternative buyers keep naming, an expert explaining a setup tradeoff or a customer explaining the moment a switch became necessary. Those are more durable than a generic endorsement because they leave behind claims, constraints and context.

That is increasingly important when an AI answer stands between a buyer and the brand. A person may see the original post in a feed. Someone else may encounter a short synthesis that brings together product documentation, reviews and other sources. AI shopping agents already make product information part of the research process.

Jack Koch, IAB’s SVP of Research & Insights, said consumers “don’t just want the recommendation. They want real-world experience and expertise behind the guidance.” The finding helps explain why a polished brand claim can feel incomplete inside a shopping answer. It tells the buyer what the company says. It doesn’t always show how the product behaves in a decision someone recognizes.

The preference is particularly strong among younger shoppers. Marketing Dive’s coverage reports IAB found that 65% of Gen Z and millennials prefer creator perspectives in AI recommendations, compared with 53% of Gen X and 34% of boomers. That is a meaningful audience difference, although it is still a survey result rather than observed conversion behavior.

Build content that can survive a summary

The research offers a practical checklist for marketers planning creator programs.

Shoppers said they expect recommendations to draw from everyday consumers, professional reviewers and subject-matter experts. IAB reported 52% named everyday consumers, 43% professional reviewers and 37% subject-matter experts. The qualities they valued were credibility, consistency, expertise and clear disclosure of sponsorship or independence.

Those are content requirements, not just influencer-selection criteria.

A creator brief should make room for the decision details that get stripped out when the work is reduced to a summary: who the product is for, what it does poorly, what it replaces, what it costs over time and which result can be verified. The goal is a useful point of view with evidence behind it.

For a 5–30 person B2B company, this can start with the questions that surface in sales calls. Find the category comparison buyers repeat. Ask a respected operator or customer to explain how they approached that decision. Then give the piece a home on a page that retains the proof, source links and product constraints.

That approach also supports AI-search work already underway. Brands can appear differently across AI-search personas, so a generic “best for everyone” claim rarely gives a system or buyer enough to work with.

The caveat is as important as the opportunity

IAB commissioned the study with Attest and surveyed people in the United States, United Kingdom, Australia, Mexico and India in May 2026. The full IAB report explains the study. Every respondent had already used AI shopping research recently. The study captures preference, not a lift in sales, traffic or answer-engine citations. IAB is also a trade body with a clear interest in demonstrating the value of creator advertising.

That doesn’t make the finding unhelpful. It sets the right level of confidence.

Marketers shouldn’t turn every creator partnership into a retrieval project. They should make sure the strongest work leaves behind information that helps a buyer evaluate a choice. The post may reach one audience today. Its evidence can keep doing useful work wherever that choice gets summarized next.