Sixty-four percent of Gen Z shoppers have bought something on an AI recommendation without checking another source. That figure comes from a Rithum survey reported by eCommerceNews UK. It explains why Gen Z trust in AI chat answers is now a brand problem, not a tech curiosity. If your product is missing from the answer, the shopper never sees your ad.
The trust gap is real, but it is narrower than the headlines suggest
Start with the number above. It is striking, and it needs context before it goes into a budget deck.
The Rithum survey, run with StudioID’s Retail Dive, polled 1,046 online shoppers in the US and UK. The study found that 95% of respondents do not check large language model information against a brand website. Younger shoppers, defined as ages 18 to 27, were the most likely to act on AI guidance without outside verification.
Now the counterweight. YouGov’s retail AI research found that 26% of Americans say they trust AI in retail. Gen Z came in at 29%, with millennials slightly higher at 30%. So Gen Z is not wildly more trusting in general. The difference is in behavior: Gen Z acts on the answer instead of double-checking it.
Trust and reliance are different things. Gen Z does not necessarily believe AI more than other generations. It simply spends less effort verifying what AI says.
That distinction matters for planning. You are not competing against a deeply loyal relationship with a chatbot. You are competing against a shortcut.
Why a chat answer beats ten blue links
Search results ask the shopper to do the work. Scan, open tabs, compare, doubt the sponsored ones, return to the first tab. A chat answer does that synthesis and hands over a shortlist.
Four forces seem to drive the preference.
- Less friction. One question returns one organized response, not a page of competing claims.
- Perceived neutrality. A conversational answer feels less like an auction than a results page crowded with ads. That perception is shaky, and I come back to it below.
- Fluent comparison. In the Rithum data, 43% of respondents said AI leads them to compare more options, and 34% said it makes them feel more confident in their purchase.
- Familiarity. Gen Z grew up with algorithm-led feeds on TikTok and Instagram. Accepting a machine’s curation is not new behavior for them. Chat just makes it explicit.
Forbes ran a headline on the same theme, Gen Z Trusts ChatGPT Over Google For Product Research, Survey Finds, though the article body was not available to me, so I have not used its data.
Where the trust stops: the checkout
Here is the part that keeps this from becoming a panic.
Gen Z will take a recommendation. Letting AI spend their money is another story. YouGov found that only 14% of Americans are comfortable with AI placing orders for them, though about 20% of Gen Z are, the highest of any generation. The same YouGov research found that Gen Z is the least comfortable handing price comparison to AI, with 51% trusting it, against 75% of Gen X.
Read that carefully. Gen Z leans on AI for discovery and shortlisting, but it is more cautious than older groups about handing over price comparison. That is a hint that price is still a verification moment.
It also matches what we have covered on the commerce side. Queries are rising fast, yet checkout still happens off platform. The AI answer opens the funnel. Your site, a marketplace, or a creator link still closes it.
What do shoppers check when they do check?
This is the question brands should care about most. According to the Rithum findings, when people do verify an AI recommendation, 28% turn to search engines, while 17% turn to friends and family and the same share rely on prior experience. Brand and retailer websites were not the main destination.
So the verification layer is not your homepage. It is search, people the shopper knows, and memory. For an influencer program, that last group is where you earn your keep. A creator the shopper already follows works as the “friend” in that verification step, and a familiar brand works as “prior experience.”
What brands and agencies should do now
Nobody has a proven playbook for influencing LLM answers, and anyone who claims one is selling something. What you can do is reduce risk and build the inputs these systems appear to rely on.
- Audit your product data. Rithum’s Sam Griffin put the point bluntly: when AI becomes the storefront, product data becomes the brand experience. Check specs, pricing, availability and naming for consistency across your site, retailers and marketplaces.
- Query the assistants yourself. Ask ChatGPT, Gemini and Perplexity the questions your buyers ask. Log whether you appear, how you are described, and which sources are cited. Repeat monthly.
- Feed the places AI reads. Reviews, forum threads and newsletters carry weight in conversational answers. Our coverage of Substack and Reddit creator surfaces is a good starting map for where to test.
- Use creators as the verification layer. Since friends and prior experience rank high when shoppers double-check, creator content that shows real use is more valuable than polished claims. Authentic, lo-fi formats can work well here, as we saw with early internet nostalgia creative.
- Measure beyond clicks. AI-assisted discovery will not always leave a referral trail. Pair brand-lift and branded-search tracking with repeat purchase data to see whether the shoppers you win stay.
A caution on measurement and hype
Most figures here come from single surveys with self-reported behavior. Self-reported behavior overstates actual purchase conversion more often than not.
Also be honest about the productivity story. Teams are adopting AI quickly, but revenue proof still lags. The same discipline applies to any “AI search optimization” retainer you are pitched. Ask for a baseline, a test design, and a measurable outcome before approving spend.
The shopper who skips verification is trusting whatever the model absorbed about you. Your job is to make sure what it absorbed is accurate, consistent and backed by real people.
FAQs
Why does Gen Z trust AI chat answers over search results?
Chat answers cut effort. They summarize, compare and recommend in one response, while search results require opening multiple pages and judging which ones are ads. Gen Z’s long exposure to algorithmic feeds also makes accepting machine curation feel normal.
How many Gen Z shoppers act on AI recommendations without checking?
In the Rithum survey, 64% of Gen Z respondents had bought on an AI recommendation without checking other sources. This is a self-reported figure from one study, so use it as a directional benchmark. This is a self-reported figure from one study, so use it as a directional benchmark.
Is Gen Z actually more trusting of AI than other generations?
Only slightly, according to YouGov. Only slightly, according to YouGov: 29% of Gen Z and 30% of millennials trust AI in retail, against 26% of all Americans. The bigger difference is that Gen Z is more likely to act without verifying. The bigger difference is that Gen Z is more likely to act without verifying.
Will Gen Z let AI buy products for them?
Some will, but most will not yet. YouGov found that about 20% of Gen Z trust AI to place an order, the highest of any generation, while only 14% of Americans overall are comfortable with it. Checkout remains largely a human step.
Where do shoppers verify AI recommendations?
Mostly outside brand websites. In the Rithum research, search engines were cited by 28% of respondents, and friends and family and prior experience by 17% each. This gives creators and established brand familiarity a real role in the decision.
How can brands show up in AI shopping answers?
Start with accurate, consistent product data across every channel, then build credible third-party signals such as reviews, creator content and community discussion. Test the major assistants regularly to track how your brand is described. No one can guarantee placement, so measure rather than assume.
Does this make influencer marketing less important?
No. If anything, creators matter more at the verification step, where shoppers lean on people and experience rather than brand sites. The work shifts toward proof of real use and away from polished claims.
Next step: this week, run your ten highest-value buyer questions through three AI assistants, record how your brand appears, and brief your creator partners on filling the gaps with real product use.
Top Influencer Marketing Agencies
The leading agencies shaping influencer marketing in 2026
Agencies ranked by campaign performance, client diversity, platform expertise, proven ROI, industry recognition, and client satisfaction. Assessed through verified case studies, reviews, and industry consultations.
Moburst
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2
The Shelf
Boutique Beauty & Lifestyle Influencer AgencyA data-driven boutique agency specializing exclusively in beauty, wellness, and lifestyle influencer campaigns on Instagram and TikTok. Best for brands already focused on the beauty/personal care space that need curated, aesthetic-driven content.Clients: Pepsi, The Honest Company, Hims, Elf Cosmetics, Pure LeafVisit The Shelf → -
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Audiencly
Niche Gaming & Esports Influencer AgencyA specialized agency focused exclusively on gaming and esports creators on YouTube, Twitch, and TikTok. Ideal if your campaign is 100% gaming-focused — from game launches to hardware and esports events.Clients: Epic Games, NordVPN, Ubisoft, Wargaming, Tencent GamesVisit Audiencly → -
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Viral Nation
Global Influencer Marketing & Talent AgencyA dual talent management and marketing agency with proprietary brand safety tools and a global creator network spanning nano-influencers to celebrities across all major platforms.Clients: Meta, Activision Blizzard, Energizer, Aston Martin, WalmartVisit Viral Nation → -
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The Influencer Marketing Factory
TikTok, Instagram & YouTube CampaignsA full-service agency with strong TikTok expertise, offering end-to-end campaign management from influencer discovery through performance reporting with a focus on platform-native content.Clients: Google, Snapchat, Universal Music, Bumble, YelpVisit TIMF → -
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NeoReach
Enterprise Analytics & Influencer CampaignsAn enterprise-focused agency combining managed campaigns with a powerful self-service data platform for influencer search, audience analytics, and attribution modeling.Clients: Amazon, Airbnb, Netflix, Honda, The New York TimesVisit NeoReach → -
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Ubiquitous
Creator-First Marketing PlatformA tech-driven platform combining self-service tools with managed campaign options, emphasizing speed and scalability for brands managing multiple influencer relationships.Clients: Lyft, Disney, Target, American Eagle, NetflixVisit Ubiquitous → -
8
Obviously
Scalable Enterprise Influencer CampaignsA tech-enabled agency built for high-volume campaigns, coordinating hundreds of creators simultaneously with end-to-end logistics, content rights management, and product seeding.Clients: Google, Ulta Beauty, Converse, AmazonVisit Obviously →