About the Idea Grove 2026 Study: How Consumers Verify AI-Recommended Brands. Conducted via Pollfish among 1,000 U.S. adults in April 2026. The survey measured how consumers research brands using AI tools, how much they trust AI-generated brand recommendations, and what traditional trust signals – reviews, press coverage, search presence, website quality – they rely on before making a purchase.
Brands are investing heavily in getting recommended by AI. A growing industry of consultants, agencies, and optimization specialists now exists for one purpose: making sure that when someone asks ChatGPT or Google Gemini for a product recommendation, their client's name shows up.
But what happens after the recommendation?
According to new research from Idea Grove, a recommendation is just the beginning. In a survey of 1,000 U.S. consumers, we found that only 2% will buy from a brand they've never heard of based on an AI recommendation alone. The other 98% go looking for something more: reviews, search rankings, press coverage, a website that holds up. The AI recommendation opens the door. What's on the other side of it determines whether anyone walks through.
The Idea Grove 2026 Study: How Consumers Verify AI-Recommended Brands examines what consumers actually do after an AI tool recommends an unknown brand, which trust signals move them from consideration to purchase, and what the findings mean for brands trying to build genuine visibility in an AI-driven world. The research is analyzed through the Trust Signals® Framework, a system for building brand authority with both human buyers and AI systems, developed by Idea Grove founder Scott Baradell.
In the age of AI recommendations, earned authority matters more than ever. AI gets you discovered. Trust signals get you chosen.
"AI is changing where people start their brand research, but it hasn't changed what convinces them to buy," said Scott Baradell, founder and CEO of Idea Grove. "Consumers aren't taking AI recommendations at face value. Consumers treat AI recommendations as a starting point, then fall back on the same signals that have always built trust – reviews, press coverage, search visibility, a credible website. For brands, building genuine authority is becoming more important, not less, in the AI era."
AI has rapidly become one of the most common ways Americans research what to buy. In the Idea Grove 2026 Study: How Consumers Verify AI-Recommended Brands, 42% of respondents said they'd used ChatGPT to research a product, service, or brand in the past six months. Google Gemini wasn't far behind at 38%. Microsoft Copilot came in at 18%, with Claude (6%) and Perplexity (6%) rounding out the field.
Google Search still dominates at 82%, and Amazon holds strong at 67%. But the speed of AI adoption is the story. Two years ago, none of these AI tools were part of the brand research conversation. Now nearly half the population uses at least one of them.
The generational divide is the largest in the entire survey. 67% of Gen Z use ChatGPT for brand research compared to 30% of Baby Boomers, a 37-percentage-point gap. Education matters too: 52% of college-educated respondents use ChatGPT vs. 37% of those without a degree. And parents (50%) are significantly more likely to turn to ChatGPT than non-parents (36%), possibly reflecting the volume of purchase decisions families face.
What makes this interesting from a trust perspective is adoption is running well ahead of confidence. 42% of Americans use ChatGPT for brand research, yet only 15% say they trust AI recommendations to surface the genuinely best options. People are using AI to discover brands. They aren't using it to decide.
Almost nobody just buys.
When an AI tool recommends an unknown brand, 45% of consumers say their next step is to Google the brand. Another 18% go straight to review sites like Google Reviews, Yelp, or G2. 16% visit the brand's website directly. 9% ask someone they know. 10% ignore the recommendation entirely.
And 2% buy without doing any further research.
That means 98% of consumers either verify the brand or ignore the recommendation entirely – only 2% buy without any further research. 63% turn specifically to Google, either searching the brand name or reading reviews. For brands, this transforms the meaning of an AI recommendation. Getting mentioned by ChatGPT or Gemini is just the starting gun for a trust evaluation that plays out across Google, review sites, and the brand's own website.
Gen Z, despite being the most AI-friendly generation by every measure in this survey, doesn't skip verification either. 43% of Gen Z respondents Google the brand, and 25% go straight to reviews, a higher rate of review-checking than any other age group. Zero percent of Gen Z respondents said they buy without further research. The generation most comfortable with AI is also the most rigorous about fact-checking its recommendations.
So consumers verify. But what, specifically, are they looking for?
The survey asked two complementary questions about this: one about what consumers check after an AI recommendation, and one about what increases their trust enough to make a purchase. Both point to the same hierarchy.
When asked what they actually check, customer reviews on Google, Yelp, and similar platforms came in at #1, at 68%. The brand's website and its professionalism came second at 41%. How long the brand has been in business ranked third at 35%. Whether the brand appears prominently in Google search results came in at 27%.
When asked what increases their trust enough to buy, the order is similar but the numbers are higher. Verified customer reviews with a high average rating top the list at 78%. Google search rankings follow at 71%. Business longevity hits 69%. A polished, professional website reaches 64%. Press coverage in publications like Forbes, the Wall Street Journal, or industry trade press comes in at 58%.
What's notable about this hierarchy is how directly it maps to the five disciplines of the Trust Signals® Framework: third-party validation (reviews, press), reputation management (longevity), user experience (website), search presence (Google rankings), and thought leadership (visible leadership). The framework was built on two decades of observing what makes brands credible to human buyers. The survey data says those same signals are what consumers reach for when AI puts an unfamiliar brand in front of them.
One finding that stands out: a visible founder or CEO profile increases trust for 47% of consumers. That's lower than reviews or search rankings, but it's still nearly half of all respondents, and it's highest among Gen Z (57%) and Millennials (50%). For B2B brands and startups especially, executive visibility is a legitimate trust signal.
The survey included a direct head-to-head test. Respondents were told to imagine an AI tool that recommended two brands: one that had been covered in trusted news publications, and one they'd never seen mentioned anywhere. Everything else was equal.
69% chose the brand with press coverage. 33% said they'd be "significantly" more likely to buy it; 36% said "somewhat" more likely. Only 6% said they'd be more intrigued by the brand they'd never heard of. The remaining 26% said it wouldn't matter.
Among college-educated consumers, the preference is even stronger: 75% favor the brand with press coverage, and only 3% would lean toward the unknown one. Parents show a similar pattern at 72%.
An AI recommendation puts a brand on the radar. Press coverage in recognized publications is what tips the balance toward purchase. The two work in sequence, not in competition.
Press coverage didn't just win the head-to-head test. In the trust signal hierarchy , press coverage also ranked fifth among all trust signals tested, ahead of social media presence, founder visibility, industry certifications, and Wikipedia presence. For a signal that many marketers treat as "nice to have," it punches well above its weight.
Two questions in the survey tested consumer awareness of how AI brand recommendations actually work. The results suggest most people don't know what's happening behind the curtain.
40% of Americans had no idea that AI tools like ChatGPT may recommend completely different brands in response to the same question asked twice. Another 17% suspected it but weren't sure. Only 43% were fully aware of the inconsistency.
The knowledge gap around commercial influence is even wider. 48% of consumers had no idea that companies hire consultants and agencies specifically to get their brands recommended by AI tools like ChatGPT and Google Gemini. Another 20% suspected it but weren't sure. Only 32% were fully aware.
The demographic patterns here are consistent. Younger, college-educated, and male respondents were more aware on both questions. 57% of Gen Z knew AI recommendations vary, compared to 38% of Baby Boomers. On the agency question, the gap runs from 41% awareness among Gen Z to 18% among Boomers.
The consumers least likely to understand that AI recommendations can be influenced are the ones most likely to accept them without question. Gen X and Boomers, who make up 45% of this sample, show the lowest awareness rates and the lowest rates of AI tool adoption, but they also show the highest rates of general trust in the brands that AI surfaces. They're less likely to use AI, but when they encounter an AI recommendation, they're less equipped to evaluate it critically.
32% of consumers say they trust AI brand recommendations more now than they did a year ago. Only 16% trust them less. The majority (52%) say nothing has changed.
That 2-to-1 ratio of growing trust to declining trust sounds like a win for AI. But the trajectory is uneven. Among Gen Z, 43% report growing trust. Among Millennials, it's 39%. Among Gen X, it drops to 23%. And among Baby Boomers, only 18% trust AI recommendations more than they did a year ago, nearly matched by the 17% who trust them less.
The overall trust picture remains cautious. Only 15% of consumers believe AI recommendations are generally the best options available. 40% are pragmatic skeptics who use AI but don't fully trust it. 27% are actively skeptical, believing AI may favor brands that have figured out how to game the system. And 19% don't trust AI recommendations at all.
Combined, 85% of consumers carry some degree of skepticism about AI brand recommendations. Even among Gen Z, the most AI-positive generation, 31% express skepticism or distrust. The trust gap between AI adoption and AI confidence isn't closing fast. For brands, that gap is the entire argument for building trust signals that exist independent of the AI recommendation itself.
When asked whether they'd trust an AI brand recommendation more or less than a recommendation from a friend, 51% of consumers said less (28% "much less," 23% "somewhat less"). Only 16% said more. And 33% called it about the same. Friend-and-family word-of-mouth isn't going away. AI is supplementing it, not replacing it.
"AI is changing where people start their brand research, but it hasn't changed what convinces them to buy," said Scott Baradell, founder and CEO of Idea Grove. "Consumers treat an AI recommendation as a starting point, then fall back on the same signals that have always built trust — reviews, press coverage, search rankings, a credible web presence. What's striking is that AI systems themselves were trained on those same signals. The evidence that makes a brand credible to a careful human buyer is the same evidence that makes it credible to the machines. A recommendation opens the door. What brands have built before that moment determines whether anyone walks through it."
The Idea Grove 2026 Study: How Consumers Verify AI-Recommended Brands was conducted in April 2026 via Pollfish among 1,000 U.S. adults. The survey assessed how consumers use AI tools for brand research, how much they trust AI-generated brand recommendations, and which traditional trust signals – including customer reviews, press coverage, search visibility, and website quality – influence their purchase decisions after receiving an AI recommendation. The sample includes respondents across all four U.S. Census regions, a range of income and education levels, and balanced gender representation (55% female, 45% male). All percentages are based on unweighted response counts rounded to the nearest whole number. The research was framed through the Trust Signals® Framework, developed by Idea Grove founder Scott Baradell.