What does a marijuana SEO expert do?
Marijuana, cannabis, weed, pot shop, dispensary, delivery. Customers type all of them, and the mix changes from one state to the next. A marijuana SEO expert makes sure a store shows up whichever word a customer reaches for.
Guillermo Bravo founded Foottraffik in 2017, the first SEO agency built only for cannabis dispensaries, and has worked on dispensary search ever since, through the MediaJel acquisition in 2021 and now at Nearfront. Matching a store to the language its customers use is part of every account.
Why the words matter
State law usually says marijuana. The industry says cannabis. Customers say whatever they grew up saying. A store whose website only uses one of those words can miss the searches that use the others, including the ones people say out loud to their phones.
The fix is plain writing. Pages, Google Business Profile categories and product listings should use the words a customer would use to ask for the thing, in normal sentences. Repeating a phrase until it stops reading like English helps nobody, and it makes the page worse for the person who lands on it.
What this looks like for a store
Guillermo maps the words customers use in each market, then works them into location pages, profile categories, product listings and the questions the site answers. Nearfront tracks each variation on a local ranking grid, so a store can see whether marijuana searches and cannabis searches put it in different places on the map.
AI assistants add another layer. When someone asks ChatGPT or Gemini for a dispensary nearby, the answer is assembled from whatever those systems can read about the business, so the site has to state plainly what it sells, where it is and who it serves. Nearfront checks those answers for brand mentions the same way it checks Google.
The words customers already wrote down
Customers leave their vocabulary behind in reviews, in questions on the Google Business Profile and in searches on the store's own menu. That is free research. When reviews keep calling a product something different from the menu, the site and the profile should use the customers' word as well.
Search language also moves with the law. When a state goes from medical to adult use, the words people search with change, and pages written for the old market can fall out of step with how customers now ask.
Where a dispensary's menu lives on its own website, the product categories can rank too. Category names that match how customers search, short plain descriptions and clear store details on each page give those pages a chance at product searches near the store. Each page should use the words that fit its purpose, and the ranking grid then shows whether that choice worked for each variation.
Where marijuana SEO fits
This is the same discipline as cannabis SEO, pointed at the language half of the problem. For the retail mechanics, profiles, reviews and ranking grids, read the dispensary page. For the background on why the category ranks the way it does, start with the cannabis page.
Marijuana SEO questions
Is marijuana SEO different from cannabis SEO?
The methods are the same, but the searches are not. Google does not return identical results for marijuana and cannabis searches, so a store can rank well for one and be invisible for the other. Covering both is a matter of using each word where it belongs and tracking them separately.
Should my website say marijuana or cannabis?
Both, in the places each one fits. Legal and licensing pages tend to follow the language in state law, which is usually marijuana, while customer-facing pages should read the way customers talk. Choose the word page by page, and keep every sentence readable.
Do Google Business Profile categories affect marijuana searches?
The primary category is one of the strongest signals for which searches a profile appears in, so it has to match what the store actually is. Secondary categories cover the extras, like delivery. Getting the category wrong keeps a store out of results it should be winning, no matter what the website says.
Can AI assistants recommend a marijuana dispensary?
They already do. Assistants answer local questions from what they can read about a business, which means the website, the Google Business Profile and what other sites say about the store. Nearfront tracks whether Google AI Overviews, Gemini and ChatGPT mention a brand, so the gaps are visible.
How do you find the words customers actually use?
Keyword research sets the baseline, then the real language shows up in Search Console queries, in reviews and in the questions people ask on the Google Business Profile. Those sources say what customers call the store and the products in that specific market. The pages get written from that local language.
