Key takeaways
- Assistants with web access draw on your site, listings, cannabis menu platforms and reviews; none documents how it ranks local stores.
- An age gate that hides your pages from crawlers hides your hours and menu from assistants too.
- Make your name, address and hours identical on Google, Apple, Bing and every cannabis menu platform.
- Test monthly with the questions first-timers, movers and deal shoppers actually ask, and log who gets named.
To get recommended by ChatGPT, a dispensary has to be easy to find and easy to trust across the web: a readable site, a complete Google profile, matching listings on cannabis menu platforms, and reviews that describe real visits. ChatGPT search draws on web sources (OpenAI's announcement), but no assistant publishes how it ranks local stores.
How AI assistants choose businesses
Assistants with web access pick businesses by reading what the web says about them and repeating what looks consistent and well supported. Nobody outside these companies knows the exact ranking, and anyone who sells a guaranteed way in is guessing.
What they can read about a dispensary usually comes from a handful of places:
- Your own site: store pages, hours, the first-visit page and a menu, if crawlers can reach them.
- Your Google Business Profile and other listings: Apple Business Connect, Bing Places and the like.
- Cannabis menu and directory platforms, where many stores have their most detailed public listing.
- Reviews, on Google and on those platforms.
- Mentions you didn't write: local news, event listings, and the "where to buy" store locators of brands you carry.
Google's own AI Overviews and AI Mode work from the same kind of material. Google documents no special markup for appearing in them; normal SEO, accurate details and helpful pages apply (Google's guidance). Traffic from those features isn't reported separately in Search Console, so you can't measure it cleanly there.
One thing is different for cannabis. Some assistants answer cannabis questions more cautiously than other shopping questions. Your testing will show how each one treats your category in your area.
What an AI assistant draws on
An assistant's answer Which local businesses it names
- Web results Pages that answer the question
- Listings Your profile and directory entries
- Reviews What customers say, and where
- Your website Clear facts about what you do
Fixes that help
- Let crawlers past the age gate. Build the age check as an overlay on pages that still carry their text, not as a redirect to a blank screen. If a crawler can't read the page behind the gate, no assistant can quote your hours.
- Put the basics in plain text on your own site. Address, hours, adult-use or medical, pre-order and pickup, delivery where allowed, payment and parking. Not only inside a menu widget or an image.
- Make every listing match. The same store name, address, phone and hours on Google, Apple, Bing and every menu platform. Update all of them together before holidays and 4/20.
- Answer first-visit questions on one page. What to bring, how the counter works, how long pre-orders are held. These are the questions newcomers type into assistants.
- Mark up the store. Add local business structured data with your address and opening hours (Google's markup guide), so machines read the facts the same way people do.
- Earn mentions you don't control. Ask the brands you carry to list your store in their store locators, list your events where your community looks for them, and keep a short press page with accurate facts.
Testing your visibility
Test the way customers ask: in full sentences, in their own words, about their own situation. Replace the brackets with your town, neighborhood and the brands you stock.
- "Where should I go for my first time at a dispensary near [your town]?"
- "Which dispensaries near [your neighborhood] are open late tonight?"
- "Good dispensary near [your town] with online pre-order"
- "I just moved to [your town]. Where do people buy weed?"
- "Dispensary near [your town] that takes medical cards"
- "Who carries [a brand you stock] near [your town]?"
- "Best dispensary deals near [your town] for 4/20"
- "Is [your store name] a good dispensary?"
Run the list once a month in each major assistant, in a fresh chat, with the same wording each time. For each question, log which stores are named, what reasons are given, and any wrong facts about you, such as old hours or a menu you no longer carry. Wrong facts point to the listing or page to fix first.
Reviews and AI
Reviews feed the descriptions assistants give, so the words customers use matter as much as the star rating. A store whose reviews mention patient budtenders, short lines with pre-order and clear first-visit help gets described that way.
Ask every customer for a review the same way, after the purchase. Never trade points, discounts or product for a review, and never ask only the customers you expect to be happy; Google's policy bans both (Google's review policy). Reply to reviews by naming what the customer mentioned, without confirming anyone is a medical patient. If reviews keep mentioning a problem, such as Friday lines, fix the problem: assistants repeat it until new reviews say otherwise.
The Google reviews guide for dispensaries covers the asking routine, and the AI Overviews guide covers Google's side of AI search.
How VETS Growth Marketing helps
We test how assistants describe your dispensary today, then fix what they read: the age gate, store pages, listings across Google, Apple, Bing and menu platforms, and your review routine. The work runs as a project with a date, every account stays in your name, and we report first-time customers by source alongside a monthly assistant test. Book a growth consultation and we will run the first test with you.
Sources
- Introducing ChatGPT search, OpenAI
- AI features and your website, Google Search Central
- Local business structured data, Google Search Central
- Prohibited & restricted content (Maps user-generated content policy), Google Maps Help