AI shopping is moving from answer generation to decision support—and the evidence consumers want is increasingly human. The Interactive Advertising Bureau’s new Creator Signal research, based on 2,200 recent AI-shopping users across the United States, United Kingdom, Australia, Mexico and India, shows that 56% prefer recommendations that incorporate creator or influencer reviews. More importantly, 65% say credible creator reviews make them more confident in an AI recommendation.
That is the marketing signal leaders should act on. AI search and shopping systems are not replacing trust; they are deciding which trust signals to assemble. Brands that treat creator content as a social-media add-on will miss a new discovery layer: the review, demonstration or comparison that an AI assistant may use to justify a recommendation.
AI is becoming a shopping companion, not just a search box
The IAB study found that 80% of consumers are somewhat or very comfortable relying on AI to recommend products or services, while 72% use general-purpose AI assistants for shopping-related decisions. In other words, the question is no longer whether consumers will ask AI what to buy. It is what information AI will use when it answers.
The strongest use cases are practical and high-intent: finding the best value (38%), discovering products or brands (32%), comparing options (31%), and summarizing product information (31%). Creator input is less important as a final checkout mechanism than as evidence during research. That distinction matters: a creator review can influence the shortlist even when the transaction happens somewhere else.
Reach is not the same as a recommendation signal
The research challenges the instinct to optimize creator partnerships for audience size alone. More than half of respondents said AI should prioritize everyday consumers sharing real experiences; 43% preferred professional product reviewers. The leading trust factors were a proven record of credibility, consistency over time (40%), subject-matter expertise (36%), and independence or sponsorship transparency (roughly one-third).
Jack Koch, IAB’s senior vice president of research and insights, summarized the shift in Marketing Dive’s coverage: “You can build your creative strategy around reach, but you also have to build around real demonstrated expertise, real product experience and that credibility.” For younger buyers, this is already a competitive signal: 65% of Gen Z and Millennials prefer creator sources in AI recommendations, compared with 53% of Gen X and 34% of Boomers.
What this changes for GEO and content strategy
Generative Engine Optimization is often framed as getting a brand cited in an AI answer. The Creator Signal suggests a broader objective: make the brand easy for an AI system to understand, verify and recommend. That requires more than polished brand copy. It requires a distributed evidence base that includes specific product experiences, use-case language, comparison points, original demonstrations and transparent disclosures.
This is also why creator content should not be trapped inside short-lived social posts. A review that lives only in a feed is difficult for a brand to organize, measure or connect to product facts. Marketers should secure permission to reuse high-value creator material in indexable product pages, buying guides, transcripts, FAQs and structured comparison content—without laundering opinions into fake “objective” claims. The goal is not to manufacture consensus; it is to make authentic experience legible to both people and machines.
A 90-day playbook for AI-ready creator visibility
1. Map the proof gaps. Select 10 high-value products or services and list the questions an AI shopper must answer: who it is for, tradeoffs, price or value, setup, limitations and alternatives. Identify where independent evidence is missing.
2. Commission evidence, not slogans. Brief a small group of credible creators around real tasks, side-by-side comparisons and measurable outcomes. Prioritize expertise and product experience over follower count. Require clear sponsorship disclosure and preserve negative findings where they are fair and accurate.
3. Build an evidence hub. Turn the strongest material into crawlable pages with named authors, dates, product identifiers, transcripts, specifications and links to primary documentation. Connect creator reviews to the products and questions they actually address.
4. Measure recommendation quality. Track AI visibility by query, engine, cited source and claim—not just rankings or traffic. Compare whether creator-backed pages appear for discovery, comparison and value questions, then monitor assisted conversions and branded search lift.
The strategic takeaway is straightforward: AI recommendations will reward brands that can prove their claims through credible, accessible experience. If you need help turning creator content, SEO and GEO into a measurable growth system, contact Real Internet Sales at 803-708-5514.
Sources: IAB research release; IAB Creator Signal; Marketing Dive analysis; IAB Australia Creator Connect findings.