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Montréal AI visibility for prompts asked in French.

When a Québec customer asks a chatbot a question in French, the model answers from French sources. A Montréal business whose site exists mainly in English is not in that answer, and almost no local business has noticed yet. This is the least contested visibility work available in this market.

Get named when someone asks a chatbot. Baseline read, entity and crawl setup, then a re-test four to six weeks later.

Montréal AI search

French prompts, French sources.

Models answer in the language they are asked and lean on sources in that language. A Québec customer typing a question in French is being answered from a French corpus, which means an English-only Montréal business is invisible in exactly the conversation it most needs to be part of.

Almost nothing has been done about this locally. Businesses that have thought about AI visibility at all have thought about it in English, so the French side of the market is wide open in a way the English side already is not.

The work also compounds with everything else. Real French pages with correct hreflang, a clean entity layer, and plainly written quotable sentences improve French search rankings at the same time as they make the business citable. It is the same groundwork serving two purposes.

Five steps from baseline to re-test.

Full scope on the ai visibility page.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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 Montréal business.

A Montréal AI visibility pass runs the baseline prompts in French as well as English, because those produce different answers and the French one is usually emptier. The entity layer gets built with consistent facts across both language versions, crawl rules get set the way you choose, and the key French pages get written so a model can lift a clean sentence from them. Same prompts re-run six weeks later, before and after in writing.

Every engagement starts with a free written audit, including the Montréal 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 Montréal.

What Montréal owners ask before they hire us.

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Do the models really answer differently in French?

Yes, noticeably, and it is the first thing we show you at the baseline. The same question asked in French and in English about the same category often returns a different set of businesses entirely, because the model is drawing on different sources. For a Québec business, the French answer is the one that matters and it is usually the one nobody has looked at.

Does our site have to be fully bilingual for this to work?

It has to have real French content at real URLs, which is the same thing French search ranking requires, so most businesses are solving both problems with one piece of work. A translation widget does not count, because models and search engines see the same thing there, which is one page in one language.

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.

We also do ai visibility in Toronto, Vancouver, and Calgary.

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