# Can ChatGPT recommend wine? Where AI gets it wrong > Can ChatGPT recommend wine? Sometimes, and it's handy. But it gets facts wrong and doesn't know your taste. Here's what to use instead. Article · October 28, 2026 · 6 min read Written by Marcus Henningsson (Head Sommelier) · Reviewed by Marcus Henningsson (Head Sommelier) You're standing in front of a wall of bottles, or staring at a restaurant list with forty reds and no sommelier in sight. So you do what everyone does now: you open a chatbot and type, "What wine should I get?" It's a sensible instinct. So can ChatGPT recommend wine? Sometimes, yes, and usefully. But it gets facts wrong more often than its confident tone suggests, and there's one thing it can never know: what you actually enjoy. Here's where AI helps, where it falls over, and what to use for the part it can't do. ## Can ChatGPT recommend wine? Yes, in a general sense. Ask a chatbot for a wine to go with roast chicken, or the difference between Rioja and Ribera del Duero, and you'll usually get a reasonable, readable answer. People already use it this way: one New York diner told [Vinetur](https://www.vinetur.com/en/2026031997835/new-york-city-diners-turn-to-ai-chatbots-for-wine-recommendations.html) he photographs wine menus and asks a chatbot for pairings that suit his meal and budget, mainly when no sommelier is around. That's the honest case for AI: it's fast, free and always available. For broad questions with well-documented answers, it's a decent starting point. ## Where does AI get wine wrong? The trouble is that it sounds equally sure when it's right and when it's wrong. In 2023, wine writer Sean P. Sullivan [put ChatGPT through a graded test on Washington State wine](https://www.northwestwinereport.com/2023/04/what-chatgpt-gets-right-and-wrong-about-washington-wine.html) for the Northwest Wine Report. Some answers earned an A, such as which Washington wine is made in the greatest volume and why the state's wines are less known nationally. Others did not. It gave an outdated count of the state's wine regions, said a winery was founded in the wrong year, got the Washington Wine Commission's origin wrong, and described Walla Walla as known for white wines. Its claims about wine awards were graded F because they were simply made up. Models improve, and that test is from 2023, so don't read it as a verdict on today's chatbots. Read it as a pattern: an AI can produce a fluent, plausible paragraph that is quietly wrong about a vintage, a region or a score. And when the answer is a bottle to buy, you rarely have a way to spot the error before you've paid for it. If you want to know how reliable wine apps are in general, we've looked at that too in [Are wine apps accurate?](/articles/are-wine-apps-accurate) ## Why can't a chatbot know what you'll like? This is the bigger problem, and better models won't fix it. A chatbot can tell you what wine is usually enjoyed with a dish or what a grape typically tastes like. It cannot tell you that you found last month's Sancerre too sharp, that you keep reaching for fuller reds, or that the "elegant" Burgundy everyone raved about left you cold. It has never met your palate. You can type those preferences into the chat yourself, and some people do. But you have to remember them, retype them every time, and hope the model weighs them properly. Close the window and the context is gone. What you drink and what you thought of it is the most valuable information in the whole process, and a general chatbot has no steady place to keep it. There's a quieter issue too. A wine question needs facts about a specific bottle: the grape, the region, the style. A general-purpose model answers from patterns in its training, not from a record of that producer's wine. For a recommendation, that's shaky ground. ## How is Swirl different from asking a chatbot? Swirl is not an AI chatbot, and we want to be clear about that. We built our own recommendation system around one idea: your taste should drive the suggestion, not an average and not a guess. It started differently. Our team first built a version that leaned on AI end to end. We found the data and the recommendations poor, so we rebuilt the recommendation engine from scratch around personal taste. That's the version in the app today. Here is what that means in practice: - **It learns from you.** Swirl's recommendations draw on the wines you rate and the tasting notes you write. The more you log, the better it knows what you like, which is the one thing a chatbot can't know. - **The wine data comes from producers.** Swirl's wine database is built from producers' own spreadsheets rather than public contributions, so the grape, region and style behind a recommendation come from the winery itself rather than from a guess. - **Your history stays put.** Ratings and notes live in your account, so you never have to re-explain your palate. Our guide to the [taste profile](/articles/why-a-wine-taste-profile-app-matters) explains how that builds up, and [why tasting notes matter](/articles/why-a-wine-tasting-notes-app-actually-helps) shows how to make them useful. - **Scanning makes it effortless.** Point your phone at a label and see the wine's details without typing a thing. Our piece on [how a label scanner helps](/articles/how-a-wine-label-scanner-app-helps) covers it. A general chatbot gives you an answer for anyone. Swirl gives you one for you. If you'd like the longer version of how personal recommendations are built, we cover it in [AI wine recommendations that fit your taste](/articles/ai-wine-recommendations-that-fit-your-taste). ## When is a chatbot still the right tool? We'd rather be straight about this: there are jobs where a chatbot is perfectly good. - Explaining a wine term you've never met. - Brainstorming a pairing idea for a dinner you're planning. - Getting a rough idea of a region before you read more. Treat those answers as a starting point, and double-check anything specific, like a vintage, a price or an award, before you act on it. For choosing a bottle you'll actually enjoy, personal history beats general knowledge. ## What can't Swirl do? Swirl won't suggest anything useful on day one, because it needs your input first. Recommendations get sharper as you rate wines and write notes, so the first few weeks matter. It also can't taste the wine for you, and if you rate a bottle on a bad night, that's what it learns from. We think that honesty is a fair trade for recommendations that are actually yours. ## How do you get the best of both? Use a chatbot to learn and brainstorm. Use Swirl to decide what to buy. Scan the bottle, check the details from the producer, and see how it fits what you already love. ## Ready to stop guessing? Ready to drink what you actually love? Download Swirl, scan a label and start rating the wines you try. Every rating and note teaches Swirl your palate, so your recommendations come from your taste, not a stranger's average or a chatbot's best guess. **With Swirl you can:** - Scan any wine label to see its details - Rate wines and add tasting notes to build your taste profile - Get recommendations based on your own palate - Save your favourites and keep track of what you've tried [Download Swirl for free](https://link.swirlyourwines.com/XKNhvD) ## Frequently asked questions ### Is ChatGPT accurate about wine? Partly. It handles broad questions well, like classic pairings or how two regions differ, but it can state wrong facts with full confidence. In a 2023 test on Washington wine it got founding dates and region counts wrong and made up award claims. Double-check vintages, prices and awards before you act on them. ### Can ChatGPT pair wine with food? Yes, as a starting point. Ask for a wine to go with a dish and you'll usually get a reasonable, readable answer, and some diners photograph wine lists and ask a chatbot for pairings when no sommelier is around. It can't tell you whether you'll enjoy the bottle, because it doesn't know your taste. ### Is Swirl an AI chatbot? No. Swirl is not a chatbot. Its recommendation engine was rebuilt from scratch around personal taste: it learns from the wines you rate and the tasting notes you write, and its wine data comes from producers' own spreadsheets rather than public contributions or a model's guess. ### How long does Swirl take to learn my taste? A few weeks of regular use. Swirl won't suggest anything useful on day one, because it needs your input first. Recommendations get sharper as you rate wines and write tasting notes, so the more bottles you log early on, the sooner its suggestions reflect what you actually enjoy. ## Sources - [New York City diners turn to AI chatbots for wine recommendations — Vinetur](https://www.vinetur.com/en/2026031997835/new-york-city-diners-turn-to-ai-chatbots-for-wine-recommendations.html) - [What ChatGPT gets right and wrong about Washington wine (Sean P. Sullivan, April 2023) — Northwest Wine Report](https://www.northwestwinereport.com/2023/04/what-chatgpt-gets-right-and-wrong-about-washington-wine.html) ## Keep reading - [Are Wine Apps Accurate? What They Get Right, and Where They Fall Down](https://www.swirlyourwines.com/articles/are-wine-apps-accurate) - [AI wine recommendations that fit your taste](https://www.swirlyourwines.com/articles/ai-wine-recommendations-that-fit-your-taste) - [Why real personalised wine recommendations work](https://www.swirlyourwines.com/articles/why-real-personalised-wine-recommendations-work) - [Why a wine taste profile app matters](https://www.swirlyourwines.com/articles/why-a-wine-taste-profile-app-matters) - [How a wine label scanner app helps you find good wine](https://www.swirlyourwines.com/articles/how-a-wine-label-scanner-app-helps)