AI Is Reading Your Reviews

Written By Alex Sarovich
What a Chicago Dinner Check Taught Me About Winery AEO

It starts in the vineyard

I paid for dinner in Chicago recently by scanning a QR code at the table. No waiting for the check, no card disappearing to the back. Before the receipt reached my inbox, the screen asked me to rate the meal. It took four seconds.

It also changed how I think about visibility for every winery and restaurant I work with. That little rating prompt is quietly doing one of the most important marketing jobs in hospitality right now: feeding the machines that decide who gets recommended.

How many people are using AI to decide where to eat, drink and travel?

More than most of our industry assumes, and the number is climbing quickly.

  • Search is shifting. In 2024, Gartner predicted traditional search engine volume would drop 25% by 2026 as people moved to AI chatbots. A July 2026 study from Fractl and Search Engine Land, covering more than a million high-volume keywords, found 29% of tracked search volume in decline. The same study is clear that search is being redistributed, not disappearing. People still search. They just ask different questions in different places.

  • Travel planning. In an April 2026 study from Mindtrip, Sabre, Sojern and MMGY Travel Intelligence, 54% of travelers said they had already used AI to plan travel and 75% intend to. 40% had discovered a destination through AI, and 29% had changed plans based on an AI recommendation.

  • Restaurants. DoorDash's 2026 Restaurant Industry Trends Report, a survey of more than 3,000 U.S. consumers, found 22% have used a tool like ChatGPT or Gemini to help choose a restaurant.

  • Local businesses in general. BrightLocal's 2026 consumer survey is widely cited as showing 45% of consumers now use AI tools for local business recommendations, up from 6% a year earlier.

  • Wine and food travel. The Italian Food and Wine Tourism Report found 60% of food and wine travelers use AI to find ideas and inspiration. Among younger travelers the figure is 75%.

Nobody has published a clean number yet for how many Americans ask AI to plan a day of wine tasting. But look at who is in those surveys. Travelers, diners and people choosing local businesses are exactly who walks into a tasting room.

What is AEO?

AEO stands for Answer Engine Optimization. It is the practice of making your business easy for AI tools to find, understand and recommend.

Adam Bird of Highway 29 Creative wrote one of the clearest explainers I have read for our industry: What Is AEO and Why Every Winery Should Care About It Right Now. His framing is the one I keep repeating to clients. Traditional SEO gets you onto a search results page, but "AEO gets your winery cited as the answer."

His article focuses on the website: FAQ content, blog posts built around real guest questions, and schema markup so AI crawlers can read your pages. All of that matters and most wineries have not done it. I audited my own site this year and found plenty to fix.

But your website is only one of the places AI looks.

Why do reviews matter so much to AI?

Because an AI recommending a place needs evidence that the place is real, open and liked. Reviews are the largest pile of that evidence.

In 2026, Insites studied 10,000 U.S. local businesses across ChatGPT and Perplexity and compared more than 200 marketing signals with what the AI tools recommended. The strongest signals were Google review volume, a complete Google Business Profile and presence in the local map results. Technical SEO polish barely registered.

The gap is hard to ignore. Businesses that both tools surfaced averaged 133 Google reviews. Businesses invisible to AI averaged 11.

Two other findings are worth sitting with:

  • Volume beats perfection. The study found AI cares far more that a business has been reviewed a lot than that it has been reviewed flawlessly. A 4.6 with 400 reviews is a stronger signal than a 5.0 with 12.

  • Recency counts. In a Reputation survey of U.S. diners, 41% said they ignore reviews more than a month old, and 55% trust AI-generated review summaries when deciding where to go. A burst of reviews from 2023 will not carry you.

One caution. This research shows correlation. Busy, well-loved places collect more reviews naturally. But when AI assembles a recommendation, it draws on reviews, press, mentions, listings and your own site together. Reviews are the piece you can influence every single day you are open.

How can QR checkout get you more reviews?

By making the ask automatic, and by making it at the right moment.

Think about how reviews usually happen. A guest has a great tasting, means to write something, drives home and forgets. The people who do follow through tend to be the delighted few or the upset few.

QR payment changes the math in two ways:

  1. It removes a step for your team. Your server or tasting room host is not running cards back and forth, which means more time with guests.

  2. It puts a rating prompt in front of every guest. They are already on their phone, already in the checkout flow, and the experience is fresh. Even a modest share of guests completing it adds up to far more reviews than you collect today.

More guests rating you means more reviews. More reviews means more evidence for the AI tools deciding who to name.

How do you do this without breaking Google's rules?

Keep it simple and keep it fair.

  • Ask everyone the same way. Sending only happy guests to Google while steering unhappy ones to a private form is called review gating, and Google prohibits it.

  • Never reward a review. No discounts, no free pours, no contest entries.

  • Check where the rating goes. Many pay-at-table tools collect a private star rating that stays inside their own dashboard. That is useful feedback, but AI cannot see it. Ask your provider whether the prompt can hand guests off to your public Google profile.

  • Reply to what comes in. Responding shows an active business, and it gives you a second chance with anyone who had a rough visit.

Where should a winery or restaurant start?

  1. Ask ChatGPT, Gemini and Perplexity the question your ideal guest would ask, like "where should I taste in Dry Creek Valley on a Saturday with friends?" Note who gets named.

  2. Ask your AI tool to act as an AEO specialist, review how your brand ranks, and give you recommendations. Turn web search on first so it is looking at your live site, reviews and listings instead of guessing.

  3. Make sure your Google Business Profile is claimed and complete: hours, photos, tasting options, booking link.

  4. Ask your POS or reservations provider what checkout prompts they support.

  5. Read Adam Bird's AEO article and pick one website fix to start with. An FAQ page is the easiest.

Frequently asked questions

What is winery AEO? Winery AEO, or Answer Engine Optimization, is the work of making a winery easy for AI tools like ChatGPT, Gemini and Google's AI Overviews to find, understand and recommend when someone asks where to taste or what to buy.

Do Google reviews affect AI recommendations? The evidence says yes. In a 2026 Insites study of 10,000 local businesses, Google review count was the strongest signal tied to being recommended by ChatGPT and Perplexity.

How many reviews does a winery need to show up in AI answers? There is no official threshold. In the Insites study, businesses surfaced by AI averaged 133 Google reviews and invisible ones averaged 11. A useful target is to match or beat the wineries AI already names in your area.

Is it okay to ask guests for reviews at checkout? Yes, as long as you ask every guest the same way and offer nothing in exchange.

Want help with this?

Own Rooted Hospitality helps wineries and restaurants get found by the buyers, guests and now the AI tools that matter. If you want to know how your brand shows up, get in touch.

Sources

Alex Sarovich
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