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Your Customer Already Made Up Their Mind Before They Got to Your Website (Digital Reset Episode 506)

Young woman browsing website on phone to illustrate the idea that your customer already made up their mind before visiting your site

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Most marketing leaders are optimizing for AI recommendations. That’s the wrong problem to solve first.

The more urgent question, the one hiding inside the data, is what happens after the recommendation. Yext found that only 5% of consumers move directly from an AI answer to purchase. The other 95% verify. They search Google. They visit your website directly. They click through to reviews. And they do this regardless of how much they trust the AI; high-trust users and neutral-trust users verify at nearly identical rates.

Your customer may have already made up their mind before they got to your website. But they haven’t committed. They came to confirm what the AI told them. What they find during that verification step — your pages, your reviews, your branded search results — is where the decision actually forms.

In Episode 506 of Digital Reset, Tim Peter breaks down what the verification gap actually costs, why reviews are the signal customers trust most, and four specific actions you can take this week to own the verification experience, not just the AI recommendation.

What You’ll Learn in This Episode

  • The eMarketer AI usage ladder.. Six modes of AI adoption, what they reveal about your customers, and why 83% of people still aren’t using AI for shopping
  • Why AI-referred traffic engages more but converts less. Also see what that pattern actually means for your funnel (it’s not always what your analytics dashboards suggest)
  • Travel vs. retail vs. B2B. Why the same AI traffic behaves differently depends on whether the purchase is high-consideration or less so
  • The verification loop. Why customers check even when they trust the answer and why that level of trust doesn’t predict their verification behavior
  • The Amazon and eBay origin story. Reviews built e-commerce; here’s why history is repeating with AI
  • You’re not building on borrowed land once. You’re doing it twice. Why building on borrowed land twice makes gatekeepers even more powerful
  • Four specific actions to own the verification experience. Here’s how you can start fixing this right now

The Verification Gap in Numbers

  • Only 5% of consumers move directly from an AI answer to purchase (Yext)
  • 62% immediately search Google after an AI recommendation (Yext)
  • 58% visit the business website directly after an AI recommendation (Yext)
  • The 62% vs. 63% verification rates for high-trust vs. neutral-trust AI users. Trust level doesn’t predict whether someone verifies. It only predicts how.
  • AI-referred travel visitors convert 28% less often than other visitors while spending significantly more time on site (Adobe Q3 2026)
  • Trust in AI search answers has fallen from 82% to 54% in one year (Fractl)
  • 51% of people don’t ever use AI (Pew Research, June 2026)
  • Review signals occupy five of the top six purchase influencers when customers verify (Yext)

The Four-Step Verification Audit

Step 1: Assess what AI says about your brand
Ask the questions in an incognito tab, without being logged in, in a different browser, and ideally through a VPN. You want to see what AI knows about your brand without it tailoring the response to you. Is it accurate? Is it up to date? Does it build confidence in your offerings?

Step 2: Audit the pages verifying customers actually land on
Not your homepage. The specific pages someone reaches after an AI recommendation. Do your room pages, product pages, or service pages answer "is this place actually as good as I heard?" — not just "what is this place?" Those are different questions. Most pages are built to answer the second one.

Step 3: Audit your review presence
Volume matters — but so does recency, accuracy, and specificity. An AI recommendation that leads to a review profile that hasn’t been updated in six months doesn’t build trust. It increases doubt.

Step 4: Check your branded search results
Search your brand name after asking an AI about your category. Click through to wherever those tools send someone who wants to learn more. Is it your website? An OTA listing? A review aggregator? Whatever site captures that click is capturing your verification traffic. If it’s not you, that’s the gap to close first.

The Problem with Building on Borrowed Land Twice

Owning the AI recommendation isn’t enough. A customer who learns about your brand from an AI and then lands on a thin website, finds inconsistent reviews, or gets routed through an intermediary during their verification search will never enter a direct relationship with you.

You’re not just building on borrowed land once. You’re building on it twice. First the AI platform introduces the customer. Then an intermediary captures the verification click. That’s the gatekeeper problem from episode 498 — and from the last 15 years — extended another step into the customer journey.

Resources Mentioned

Related Episodes

Buy the Book — Digital Reset: Driving Marketing and Customer Acquisition Beyond Big Tech

Tim Peter has written a new book called Digital Reset: Driving Marketing Beyond Big Tech. You can learn more about it here on the site. Or buy your copy on Amazon.com today.

See Tim Peter in Action

Watch Tim Peter break down why owning the AI recommendation isn’t enough — and what you need to own the verification experience that determines whether the customer actually converts.

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Contact information for the podcast: podcast@timpeter.com

Technical Details for Digital Reset

Recorded using a Shure SM7B Vocal Dynamic Microphone and a Focusrite Scarlett 4i4 (3rd Gen) USB Audio Interface.

Running time: 17:49

Transcript: Your Customer Already Made Up Their Mind Before They Got to Your Website (Episode 506)

Most people use AI passively. eMarketer has new research that breaks usage into different kinds of AI adoption: asking, doing, playing, working, shopping, and connecting. And for each level that your customers pass through, the numbers decrease.

Just over half of internet users ask a question using AI every week. Some of those are what I refer to as passive AI users. They’re interacting with Google AI Overviews and AI Mode or ChatGPT or Meta AI or any of the rest the same way as they’ve always done a Google search.

Roughly a third are more active users of AI, using it about weekly to, quote, "manage their lives… help with personal tasks, advice, and guidance." That’s from Nate Elliott at eMarketer. Roughly a quarter use it for work. Seventeen percent use it for shopping, again, quoting Nate Elliott, "whether researching and comparing products or finding the best prices." And maybe ten percent, quote, "turn to AI each week looking for a connection, chatting with it as a friend or as a therapist."

As Nate concludes in his post, "Problem-solving and personal utility drive the vast majority of AI usage. Shiny technology might create trial, but human motivation drives lasting habits. Marketers and retailers targeting people on AI platforms need to focus less on frontier models and platform share and more on what people are trying to accomplish when they use AI. That’s where they’ll find the marketing opportunities they’re looking for." I completely agree.

What’s also true is that a larger share of people don’t trust AI compared to where we once were. That’s fairly aligned with what I talked about a couple months back — research that shows fifty-five percent of people hate AI. Pew Research now reports fifty-one percent of people don’t ever use AI, with most of that concentrated among people aged fifty and older. But even among younger people, "do not ever use" was chosen by thirty-four percent of eighteen to twenty-nine-year-olds and thirty-nine percent of thirty to forty-nine-year-olds.

Now those numbers measure different attitudes. It’s clear that they start from the same place. Fifty-four percent of people who do not ever use AI shared "concerns about how their personal information will be used" as a major reason they don’t use it. Forty-five percent said that they don’t trust AI to give them accurate information. And similar research from Fractl says that trust in AI answers has fallen from eighty-two percent to fifty-four percent in the last year. I suspect the difference in those numbers is, A, due to when the surveys were in market, and B, the specific types of use cases they asked about. Pew was speaking about AI generally. Fractl was focused on AI search specifically.

The point is that there’s a trust factor here. Again, looking at eMarketer’s data, seventeen percent are using it for shopping. Another way of saying that is that 83% of people aren’t using it for shopping.

We’re facing a scenario where customers need to trust. They need to learn about products. They need to learn about whether or not your brand, your business, and your products are right for them.

I’m Tim Peter. This is episode 506 of the Digital Reset Podcast. Today, we’re talking about how your customer already made up their mind before they got to your website and the role trust plays in making that happen. Let’s dive in.

So as I mentioned before the break, eMarketer is reporting that 17% of customers are using AI for shopping, which means that 83% of customers aren’t. Research from Adobe shows travel visitors that AI sends convert 28% less often than other visitors. In retail, people convert at a higher rate when coming from AI. What’s true about both categories, though, is that the folks they’re sending engage at much higher rates. They spend more time on site. They’re less likely to bounce. They’re really diving into the content on the sites that they’re visiting after looking at you on AI.

I think there’s a connection between folks not trusting AI, the data we talked about before the break, and the fact that people are engaging at much higher rates. When customers come to your site from AI, they’re not sure if they should trust you. They’re certainly not sure they should trust the AI. Pew and Fractl’s research shows that pretty handily.

Think about the two categories Adobe’s data talks about. Travel is almost always a high-consideration product. If I’m a traveler booking my family vacation or a honeymoon or a girls’ weekend, I need to make sure that the places I’m looking at meet my needs, that I and anyone I’m traveling with have a great time, have the experience we expect. It’s almost always a high-consideration purchase. Even for a business trip, I want to make sure that the property meets my expectations for quality and price, is near to the clients or prospects I’m visiting, and is convenient to restaurants, the airport, or anything else I need to get done while I’m in town, right? That’s pretty typical, isn’t it?

Retail also has plenty of high-consideration products, but many are not terribly complicated. Lots of times I know what I want to buy. I just need to know where I can get it quickly and at the best price. The same principle applies in B2B. Software purchases and professional services behave a lot like travel. They’re high consideration and heavy verification. Office supplies or commodity tools — they behave like retail. You just need to know where to get it.

So I might be using AI to help me shop around for price comparison or specific details of places that sell the products or services that I’m looking for. But I don’t need to do as much research when my chosen AI recommends a site.

Yext found that after receiving an AI recommendation, sixty-two percent of users immediately search Google for more information. Fifty-eight percent visit the business website directly, and fifty-two percent click through to sources cited within the AI’s response. What makes this remarkable is that verification rates are nearly flat across all trust levels. High trust users — people who rated five out of five — verify via Google at sixty-two percent. Neutral users verify at sixty-three percent. The level of trust people have doesn’t predict whether somebody verifies. It only predicts how. And either way, they check.

Also from Yext, only five percent of consumers move directly from an AI answer to purchase. Now, sure, Yext sells products to help you improve your ratings and reviews. Fine. But their findings line up pretty well with Adobe’s and eMarketer’s.

Keep in mind what all of these studies have in common. None of this is about discovery. It’s about trust. Customers verify. Nearly all of them do. I feel pretty confident that’s what accounts for the higher engagement rates. They’re not engaged in the sense that they love every piece of content you create. They can’t wait to consume more of it. They’re engaged in the sense that they want to confirm the information they were looking at before they came to your site.

We’ve actually seen this for years in loads of e-commerce and B2B contexts. Customers have questions they want the answers to. That’s the point of content at its core. As I wrote in my book when defining what content is, "simply, content answers your customer’s questions." Content is your company’s twenty-four by seven by three sixty-five salesperson and your twenty-four by seven by three sixty-five customer service rep. Your customers might ask AI, do things, play, work, shop, and connect with AI, but at least for now, they want to verify what they’ve learned from AI someplace else.

Another reason I’m pretty confident about this: reviews. Reviews are the thing that customers trust most. In Yext’s data, review signals dominate the purchase decision across the board. It occupies five of the top six purchase influencers.

We’ve actually seen this behavior before. This is not new. When e-commerce first emerged, people liked the fact that they could browse and compare products and services online. They did that all the time. But purchases took a little bit longer to connect. It took a minute before people took that for granted. One of the reasons Amazon emerged as the dominant e-commerce company was that they sold a lower consideration product — books. They later added CDs and DVDs and eventually everything else. But at the start, they were just an online bookstore, something that was easier for customers to trust. The second reason for their emergence, as well as that of eBay, was the addition of reviews.

Which brings us back to trust. And as the saying goes, trust but verify. AI today doesn’t have a verification system. Amazon and eBay did. Customers know that it sometimes gets things wrong, that AI sometimes gets things wrong, or that it outright lies to them. So customers have taken verification into their own hands. You show up in AI, they’re gonna look for reviews. They’re going to search on Google, and they’re going to check out your website content to verify what the AI told them. They may be ready to choose you, but you’ve got to verify what they think they know.

To do that, there are a few things that you need to do. First, you need to assess what AI says about your brand, your products, and your services. Is it accurate? Is it up to date? Does it build confidence in your offerings? Be sure to ask these questions. And when you’re doing it, do it in an incognito tab without being logged in, maybe in a different browser, and probably through a VPN, so that way the AI won’t personalize its answers to you specifically. You want to see what AI knows about your brand without it tailoring the response to you.

Then take a look at your website itself. Don’t just look at your homepage. Look at the specific pages verifying customers land on. Do your room pages or product pages or service pages answer the questions someone asks after finding an AI recommendation?

Next, audit your review presence. You want to look at volume, but you also want to look at recency, accuracy, and the specificity of the reviews. An AI recommendation that leads customers to a review profile that hasn’t been updated in six months does not build trust. It doesn’t build confidence or conversion.

Finally, check out your branded search results. What shows up when someone searches your name after hearing about you from an AI? If some third-party listing shows up first versus your own site, the verification step happens someplace you don’t control. That’s… not great, and it’s a clear opportunity for improvement.

Over the last seven or eight episodes, I’ve been talking a ton about why and how you must own the customer relationship. To deliver on that, you also have to own your customer’s verification experience. A customer who learns about your brand or business from an AI and finds that something isn’t quite right, or lands on a thin website, or finds inconsistent reviews, or gets routed through some intermediary during their verification search will never be convinced to enter a direct relationship with you.

In these situations, you’re not just building your brand on borrowed land once. You’re building on it twice. First, the AI platform is where the customer first learns about you, and then some intermediary captures the verification click. That’s not great. You really need to move away from that.

Here’s what I would do next if I were you. First, pull your traffic source report for the last ninety days or so. Look specifically at time on site and conversion rate by source. If AI-referred or organic traffic shows high engagement and lower conversion than other key channels, the verification gap is real and measurable for your business right now.

Then check out your brand name in ChatGPT, Gemini, Claude, Perplexity. But this time, take it one step further. Click through to wherever those tools send someone who wants to learn more. Is it your website? Is it an OTA listing? A review aggregator? Some other third party? Whatever site captures that click is capturing your customer’s verification traffic… and potentially owning that relationship. If it’s not you who shows up, that’s the gap you want to close first.

Finally, audit your top three or five landing pages specifically from those links, from folks verifying your products and services. Does this page answer "is this place or product or service actually as good as I just learned?" Or does it answer "what is this place, product, or service?" Those are different questions that you’re going to have to answer if you’re going to build trust. In my experience, most pages are built to answer the second question. They need to do more to answer the first one, too.

I’m convinced that over time, your customers will start to use AI more and more actively. That seventeen percent who buy will undoubtedly go up. Either AI will add its own verification system or its answers will get better, more trustworthy. That’s the only way it can grow. Your goal is to make sure you’ve taken the necessary steps to ensure you grow right along with it, or even better, ahead of that curve. Make sure your site helps your customers verify what the AI tells them, and I’m confident that your traffic won’t just check you out… it will convert.

If you know someone else who needs to hear this information, do me a favor and send it their way. It might save them a whole world of trouble and help their business grow too.

You can find the show notes for this episode, as well as a full archive of past episodes, at timpeter.com/podcasts.

And if you’re ready to go deeper on making your brand the answer that AI reaches for, my book, Digital Reset: Driving Marketing and Customer Acquisition Beyond Big Tech, is the roadmap you’re looking for. You’ll find the link in the show notes.

Thank you so much for listening. I genuinely appreciate you doing so. It means the world to me. Until next time, please be well, be safe, and be excellent to each other. I’ll see you soon.

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