For decades, the way customers discovered a craft gin or small-batch rum looked something like this: a friend's recommendation, a magazine feature, a stockist on the high street, or — at best — a Google search that returned ten blue links and a few sponsored ads. The big distilleries had the marketing budgets to dominate that landscape. The small ones built loyal local followings and hoped word of mouth would do the rest.
That world is changing fast. A growing share of people now plan their evenings, gifts, and tasting nights by asking ChatGPT, Perplexity, or Google's AI Overviews directly: "What's a good Yorkshire-made gin under £40?" or "Recommend a craft distillery I can visit near York." The AI engine doesn't return a list of links. It returns a recommendation — sometimes mentioning a single producer by name, sometimes a shortlist of three or four. If your distillery isn't on that list, you're invisible in a way you've never been before.
The good news: this shift is one of the biggest opportunities small craft producers have ever had. AI search engines don't reward marketing budgets the way Google's blue links did. They reward clarity, structure, and trust — three things small artisan producers can outperform big brands at, if they know how to play the game.
Why Small Distilleries Have an Edge in AI Search
There's a counter-intuitive truth about how large language models recommend businesses: they prefer specifics. When someone asks ChatGPT for "the best gin distilleries in Yorkshire," the model doesn't want to recommend a faceless mass-market brand with no story. It wants to recommend a place — a real distillery with a real founder, a specific location, a specific botanical, a specific story.
That's exactly what a craft producer has and a global brand often doesn't. A distillery with a hand-numbered bottle, a single distillation room, a founder's name on the label, and a quirky local botanical is — in machine-readable terms — a much more "complete entity" than a multinational producing 10 million bottles a year.
The catch is that the AI engine has to be able to read all of that. It has to find the founder's name, the location, the bottle's ABV, the flavour notes, the tasting room hours, and the awards — without having to wade through a Flash-era homepage. That's where structured data comes in.
A Real-World Example: Wicstun Distillery
Take Wicstun Distillery, an independent family-run distillery based in Market Weighton, East Yorkshire. It was founded by Jago, the head distiller — a man who, according to the distillery's own story, brings "a lifelong passion for science and flavour" to the operation, and who opened the first licensed craft distillery in his hometown after starting out making moonshine in boarding school.
That's a story worth telling. A real founder. A real town. A real craft. And a portfolio that includes a Scarborough Dry Gin made with kelp and heather, a Pink Dry Gin built around strawberries, raspberries and blueberries, an Aromatic Dry Gin balanced on cardamom and coriander, and a Toffee Vodka Liqueur with salted caramel notes. There's also a Caribbean Dark Rum, a Sloe Gin Liqueur, and a series of brand collaborations with the likes of Sophie Ellis-Bextor and The Feeling.
From an AI-search point of view, every one of those facts is a hook — a piece of evidence the engine can use to recommend Wicstun in response to "best Yorkshire gin," "small distillery East Yorkshire," "gin with unusual botanicals," or "craft distillery tour Yorkshire." The question for any small producer is: are those facts on your website in a format an AI can actually read?
Structured Data: The Language AI Speaks
Schema markup — also called JSON-LD or structured data — is a small block of code on each page that translates your business into a format AI engines and search engines understand at a glance. For a distillery, the schemas that matter most are:
- Organization or LocalBusiness — Tells the AI who you are, where you're based, your hours, your contact details, and your social profiles. For a distillery, you'll usually want FoodEstablishment or LocalBusiness with a precise address and geo-coordinates.
- Product — One per spirit. Includes the product name, ABV, volume, flavour notes, ingredients, price, and availability. This is what allows AI engines to answer "what's a 40% ABV craft gin under £40 made in Yorkshire?" with a specific bottle.
- Review and AggregateRating — Trust signals. If your distillery has 92+ reviews averaging 5 stars, that data should be readable on every product page in structured form, not buried in a screenshot.
- Event — For tasting evenings, distillery tours, and seasonal experiences. AI engines treat these as distinct, time-bound recommendations that can drive direct bookings.
- FAQPage — For common questions like "are your spirits vegan?", "do you ship outside the UK?", "do you offer gift sets?". These are gold for AI because they map directly to the questions users ask.
None of this is visible to a human visitor — it sits in the page source as a small JSON block. But it's the first thing an AI crawler looks for. A page with no structured data is a page the AI has to guess at. A page with rich structured data is a page the AI can quote with confidence.
Trust Signals Win Recommendations
One of the strongest factors in whether an AI engine will recommend a business is the volume and quality of third-party trust signals. For a small craft distillery, that means three things in particular.
Reviews on platforms the AI can see. A 5.0-star average across 92 reviews — the kind of social proof Wicstun has built — is a powerful signal, but only if it's published in places AI engines can verify: Trustpilot, Google Business Profile, Reviews.io, Feefo. Reviews trapped in a Shopify widget that doesn't expose them as structured data don't carry the same weight.
Awards, press, and accreditations. If you've won a Great Taste award, been featured in The Times, or supplied a Michelin restaurant, those are citations the AI can use to justify a recommendation. Make sure each one has a dedicated page, with the publication name, date, and a quote — and use Article or NewsArticle schema where appropriate.
Provenance markers. Where the distillery is, who made it, what's in it. AI engines lean heavily on entity establishment — they want to know that the business is a real, trackable, verifiable thing in the world. A distillery that lists its AWS number, company number, and physical address is more "real" to an LLM than one that hides behind a stock photo.
Don't Block the AI Crawlers
This sounds obvious, but it's the single most common reason small businesses are invisible to AI. Many e-commerce platforms — particularly older Shopify and WordPress installations — ship with default robots.txt files that block bots they don't recognise. The result: GPTBot, ClaudeBot, PerplexityBot, GoogleOther and Bytespider can't crawl your site, and your business never enters the index that ChatGPT and friends draw from.
Check your robots.txt at yourdomain.com/robots.txt. Make sure these crawlers are explicitly allowed. If you're not sure how, an AI visibility audit will flag it for you in seconds.
Once they can crawl, give them something to find. A well-structured llms.txt file at the root of your domain — listing your business name, your products, your services, your contact info in clean markdown — is becoming a standard signal that AI engines respect. It's the equivalent of leaving a tidy business card on the doormat.
Tell the Story That Only You Can Tell
Big brands have budgets. Small distilleries have stories. AI engines are unusually good at picking up the second one if it's written down clearly.
That means writing — and publishing — pages that go beyond the product card. The history of why you started. The story of where the kelp in your Scarborough Dry Gin comes from. The science behind your distillation method. The reason your Pink Dry Gin is built around blueberries instead of the usual raspberry-only blend. The fact that your spirits are vegan-friendly and hand-bottled, and what that actually means.
This is where the storytelling-meets-structure approach pays off. A blog post about "the science of botanical extraction in small-batch gin" is interesting to a human reader. With the right schema (Article, with the distillery as the publisher, and the founder as the author), it's also a piece of content the AI can confidently quote when someone asks "how is craft gin made?". You become the cited source.
Local AI Search Is Its Own Game
For a craft distillery — particularly one running tours, tastings, or contract distilling — local AI search is enormous. People asking ChatGPT "things to do near York this weekend" or "distillery tours in East Yorkshire" are looking for an experience, not just a bottle.
To win those queries, three pieces need to be in place:
- A complete Google Business Profile, fully verified, with current opening hours, recent photos, and a steady flow of reviews.
- LocalBusiness schema on the website, with geo-coordinates, address, hours, and contact details that match the Business Profile exactly. Mismatches confuse AI engines.
- Event schema on every tour and tasting page, with the date, time, location, ticket price, and booking URL. AI engines use this to recommend specific upcoming experiences, not just generic "places to visit".
A Practical Playbook for Small Producers
If you're running a small distillery, brewery, or artisan food business, here's the short version of what to do this quarter:
- Audit what's there. Run an AI visibility audit on your domain. You want to see your score across schema markup, trust signals, AI crawler access, content depth, and reviews. The free version of most audit tools — including ours — covers all of this.
- Implement Product schema on every spirit. Don't rely on the platform's defaults. Make sure ABV, volume, ingredients, flavour notes, and price are all in the structured data, not just on the page.
- Add LocalBusiness schema and an Event schema for tours. If you offer experiences, make them findable.
- Build out your FAQ page with the questions you actually get from customers. Wrap it in FAQPage schema.
- Open up your robots.txt to the major AI crawlers. Add an llms.txt file at the root of your domain.
- Push for reviews on Trustpilot or Google. A 4.8+ average over 50+ reviews is the floor for being treated as trustworthy by an LLM.
- Write the long-form pages. Your founder's story. Your distillation process. Your local botanical. The pieces a big brand can't fake.
Distilleries like Wicstun already have the harder ingredients — a real story, a real product, a real place, and a real founder. The work that's left is making sure the AI engines can see it. With the structured data layer in place, a small Yorkshire producer can sit alongside Sipsmith and Hendrick's in a ChatGPT recommendation, on the strength of being the more interesting — and more findable — answer.
The Window Is Open
Most small craft producers haven't done any of this yet. The few that have are already pulling ahead. AI search is still early enough that a thoughtful three-month implementation can put a tiny distillery in front of customers it would have taken five years to reach through traditional channels.
If you want to see how a real-world example does it, take a look at Wicstun Distillery's website — and then run a free AI visibility audit on your own domain to see exactly where you stand and what to fix first.