Do People Trust AI Recommendations More Than Search Results, Ads, or Their Own Research?

What do surveys say about trust in AI recommendations?

The figures look contradictory until you notice who was asked. Surveys of AI users find high trust; surveys of all consumers find much more caution.

Does trust differ by group and topic?

• Users versus non-users. Trust rises sharply with use. People who have found AI helpful keep using it; people who have not, distrust it.
• Age. Younger adults use AI far more. Pew's 2026 survey found 61% of US adults aged 18–29 had used ChatGPT, against 19% of those 65 and older. Pew also found overall views of AI tilting negative, even among younger adults.
• Topic. People are more comfortable accepting AI suggestions for low-risk choices, such as restaurants or gadgets, than for medical, legal or financial decisions, where they check more.
• Stage of decision. Trust is highest for learning and shortlisting, lower for the final choice.

Why do people trust AI recommendations?

• Ads are absent or kept apart from the answer. An AI recommendation feels like advice rather than promotion; OpenAI says ads in ChatGPT are labelled, kept separate and do not influence answers.
• Personal fit. People can describe their exact situation and get an answer that seems tailored, which search results rarely offer.
• Synthesis. One answer summarising many sources feels more complete than ten links.
• Confident tone. Fluent, direct answers sound authoritative, sometimes more than they deserve.
• Review summaries. BrightLocal found 50% of consumers trust AI platforms to summarise online reviews accurately.

Why do people distrust them?

• Errors. In a 2025 test by the Tow Center for Digital Journalism, eight AI search tools were collectively wrong on more than 60% of queries about the source of news excerpts. A test of London businesses reported by Search Engine Journal found 93% had at least one basic fact wrong or missing in AI answers.
• Changing answers. SparkToro found AI tools almost never gave the same list of recommendations twice for the same prompt.
• Fear of manipulation. Tests have shown hidden text on web pages can sway AI summaries, and people worry that advertising will creep into answers.
• Outdated information. Closed businesses, old prices and discontinued products appear in answers.

Is the trust justified?

Partly. AI assistants are good at orientation. They explain options, list factors to consider and name candidates worth checking. They are less reliable on specific facts such as prices, opening hours, availability and whether a business is still operating. The way most people use them matches this: they take the shortlist and check the facts. BrightLocal found 59% of AI users check review profiles for more information after reading an AI summary, and only 23% rely on the summary alone.

How do people combine AI, search, ads and their own research?

A typical journey now runs:

1. Ask an assistant to explain the need and suggest options.
2. Narrow the list through follow-up questions.
3. Verify on Google, review sites and brand websites. Semrush found 47% of AI-using shoppers narrowed options with AI and then turned to Google for reviews or pricing.
4. Decide, often after seeing ads or retargeting along the way, which people notice but discount as advertising.

AI has not replaced people's own research. It has become the first step of it. How the journey is changing is covered in how AI is changing the research and buying journey.

What does this mean for businesses?

• Being named matters. Since AI builds the shortlist that people trust enough to check, absence from the answer means absence from consideration for many buyers.
• Being verifiable matters as much. The checking step goes to reviews, Google and your website. If those contradict the AI answer, trust in you drops, not only in the AI.
• Accuracy is your responsibility too. Wrong prices or hours in AI answers lead to disappointed customers. Keeping facts consistent across the web reduces them.
• Reputation feeds both. Reviews shape what AI says and what people find when they check. How reputation management connects to AI recommendations is covered in how online reputation management affects AI search recommendations.

How can you learn how your own customers feel?

Ask them. Add AI assistants to "How did you hear about us?" and ask new customers what they checked before choosing. Listen for "ChatGPT said..." in sales and support calls. Track whether customers arrive with correct or incorrect beliefs about your prices and services, which shows how much they relied on AI without checking. Industry surveys describe averages; your customers may trust AI more or less.

What might an illustrative case look like?

Consider an illustrative independent optician. Several new customers say they found it through ChatGPT, and some arrive expecting a free eye test that the practice stopped offering two years ago. The owner finds the old offer on a directory listing and an old blog post, both cited in AI answers. They correct both, update the Business Profile and add a clear pricing page. They also ask customers who mentioned AI what else they checked. Most had read Google reviews and looked at the website before booking. The owner starts replying to every review and keeps prices current on the site, knowing that customers who trusted the AI answer will check there next.

What do people ask about trust in AI recommendations?

Do people trust AI more than Google search?

AI users often trust AI answers highly, but most still confirm on Google before acting, especially for local businesses and larger purchases.

Do people trust AI recommendations more than ads?

Generally yes. Ads are recognised as paid, while AI answers are seen as advice, which is why labelled, separate ads matter.

Will trust in AI keep rising?

Trust tends to rise with use, and use is rising. High-profile errors could slow it, so accuracy matters for everyone involved.

Should businesses rely on AI to bring customers?

Treat AI as one important route to the shortlist. Reviews, search visibility and a clear website are still what close the decision.