Vancouver businesses the models can actually describe.
Ask a chatbot for a business in Vancouver and it will answer with two or three names and a sentence about each. If the models hold no clear facts about you, or the wrong ones, you are not in that answer. Fixing it is entity work, crawl rules, and writing pages a model can quote without mangling.
Get named when someone asks a chatbot. Baseline read, entity and crawl setup, then a re-test four to six weeks later.
Vancouver AI search
Region confusion works against you.
Metro Vancouver's municipal patchwork creates a specific problem for models. A business in Burnaby with listings that sometimes say Vancouver, sometimes Burnaby, and sometimes Lower Mainland gives a model conflicting signals about where it even is. Conflicting signals produce a model that declines to name you rather than one that guesses.
The fix is unglamorous and effective: one consistent name, address, and service description everywhere the business appears, with schema on the site that links the profiles together explicitly. That is the entity layer, and most local businesses have never had anyone look at it.
The second Vancouver angle is language. Models answer prompts in the language they were asked, drawing on sources in that language. A business with real Chinese or Punjabi content is a candidate for those answers. One without is not, and almost nobody here has thought about it.
Five steps from baseline to re-test.
Full scope on the ai visibility page.
Ask the chats about you.
We run a fixed set of prompts about your business across ChatGPT, Claude, Perplexity, and Gemini, then save the answers. That is the baseline. Most small businesses do not appear at all, or appear with the wrong facts. Either way we know the starting point.
Set the crawl rules.
robots.txt rules for each major AI crawler, plus an llms.txt and llms-full.txt written for your business. You decide which models are allowed to read the site. Most owners say yes to all of them.
Build the entity layer.
Schema markup that names the business properly: full Organization or LocalBusiness, sameAs links to the Google Business Profile, social profiles, and directory listings. The point is unambiguous proof that the business on the site is the business the model has seen elsewhere.
Shape the content for citation.
Rewrite the about and service pages so a model can lift a clean two-sentence answer out of them. Q and A sections where they fit. Plain, sourced facts. Models cite what they can quote without paraphrasing it into nonsense.
Re-ask the chats.
Same prompts, same models, four to six weeks later. The before and after lands in a short PDF you keep. Anything still wrong gets a second pass.
How we run this for a Vancouver business.
A Vancouver AI visibility pass fixes the entity layer first, because in this region that is usually where the confusion is: one consistent name, one address, one clear service description, linked explicitly across the site, the Google Business Profile, and the directories. Crawl rules get set the way you choose, key pages get rewritten to be quotable, and the same prompts get re-run four to six weeks later so you can see what moved.
Every engagement starts with a free written audit, including the Vancouver ones. If we think the budget is better spent somewhere else, we will say so before you commit to anything. See everything we do in Vancouver.
What Vancouver owners ask before they hire us.
Don’t see yours? Ask us directly.
Our listings say different things across different sites. Does that matter?
It matters more here than almost anywhere, because Metro Vancouver's municipalities make location signals ambiguous already. A model faced with conflicting facts about your name, address, or category tends to leave you out rather than guess. Cleaning that up is often the single highest-return part of this work.
Does this help with prompts in Chinese or Punjabi?
Only if you have real content in those languages, which is exactly the point. Models answer in the language of the question and draw on sources in that language. A business with genuine multilingual content becomes a candidate for answers almost nobody else in the market is competing for. Without it, those prompts go to somebody else.
Is this different from SEO?
Related but not the same. Search ranking is about which page appears in a list. This is about whether a model names your business when somebody asks it a question and never sees a list at all. The technical groundwork overlaps. What you are optimising for does not.
Can you guarantee ChatGPT will recommend us?
No, and be careful with anyone who says otherwise. What is controllable is whether the models can find you, whether the facts they hold about you are correct, and whether your pages are written in a form they can quote. We measure the before and after and show you both.
Is it too early to bother with this?
That is a fair question and the honest answer is that it depends on your market. Where competitors have not touched it, the groundwork is cheap and the position is uncontested. Where nobody is asking chatbots about your kind of business yet, we will tell you to spend the money on the website instead.
Short answers
Reading for Vancouver business owners.
Will ChatGPT recommend your business?
More customers are asking AI assistants who to call instead of scrolling Google. Whether your business gets named comes down to a short list of things you can control.
Should a Canadian business use a .ca domain?
Whether a .ca domain helps you rank, what it signals to Canadian customers, when .com still makes sense, and how to own both without splitting your search authority in two.
Hiring a web designer in Calgary
What a Calgary small business should actually look for in a web studio, what local-versus-remote changes, and the five questions that separate a studio worth hiring from one that bills its time.
Start with the free audit.
Get a free auditSend the link. We read the site by hand and write back inside five business days.
No call, no commitment