SEO, AEO and GEO in Canada: what French and English change

Short answer: Canada is not one search market. It is two language markets with different vocabulary, different competitors and different rules, so a single national plan built from Toronto data underperforms almost everywhere. Our plan is simple: build where your demand is, keep one clean page per language, publish facts worth quoting, and test the French queries yourself rather than assume how Google or the AI assistants will treat them.

Most guidance on ranking and AI citation is written for a single-language market and quietly assumes yours is one too. Applied to Canada, it produces a plan that works in Toronto, underperforms in Vancouver and Calgary, and leaves the French-language market unmeasured and unserved.

This guide skips the general explainer. If you want the plain definitions of the three disciplines, SEO, AEO and GEO explained covers them. What follows is the part that is specific to competing here.

Canada is two search markets, not one

In the 2021 Census, French was the first official language spoken by 21.4% of Canadians, more than 7.8 million people. In Quebec the figure was 82.2% French and 13.0% English (Statistics Canada, The Daily, 17 August 2022). Those are not two segments of one market. They are two groups of buyers who type different words, meet different competitors and answer to different rules.

The position of an English-only site in French search is more nuanced than “absent”. Google says relevancy can include the user’s language, and that it collects the language of a page during indexing (Google, how Search works). Language is a relevancy factor, not a wall. Google may also show an English page to a French searcher: it can translate the title link and snippet of results that are not in the language of the query, French is one of the 21 languages covered, and clicking opens a machine-translated page that Google does not host (Google, translated results).

Our view is that this is a weak way to win a Quebec customer. The buyer reads a machine-translated page of a business that has not bothered to write to them in their own language, and, as the Charter section below explains, it is no answer to the legal question either. It is a fallback that happens to exist, not a plan.

This is also why national keyword lists mislead here. A list built from English search data describes English demand. It does not measure French demand, and a business that concludes Quebec is weak for them on that basis has measured their own absence rather than the market.

On the engine side, Statcounter’s October 2026 figures for Canada, all devices, put Google at 85.03% of search and Bing at 10.46% (Statcounter). That measures search engines, not AI assistants, so it tells you where to start rather than how the assistants behave.

What changes when the answer is generated in French

Generative engines add a question we cannot fully answer, and it is better to say so than to guess.

We found no vendor document saying how the assistants weigh languages when they choose sources. Anyone who tells you that English sources are heavily penalised in French answers, or that they are treated the same, is working from a hunch. The most useful thing Google has published is narrower. Its Canada blog said on 28 October 2024 that AI Overviews had reached Canada, and that “French is not currently supported” at that date. Google’s current help pages for AI Overviews and AI Mode list Canada as a country and French as a language, but they list them separately and do not say how they combine for a given country.

So we cannot confirm from Google’s pages that French AI Overviews show for every Canadian French query. The practical answer is to test. Write a list of the French questions your buyers would really ask, run them, and record which answers appear, whether you are named and who is named instead. Do the same in English. The difference between the two lists is your real position, and it will be more useful than any general claim.

The reliable approach to the content itself is, in our view, a parallel edition. Translate the facts, then rewrite the framing, the examples and the questions for how the French-language market actually asks. Our guide to getting cited by ChatGPT and Perplexity in Canada covers the citation mechanics that apply in both languages.

There is a trap in the obvious shortcut. Pushing English pages through machine translation and publishing the output at scale is a policy risk, not just a quality problem. Google’s spam policies describe scaled content abuse as including the use of generative AI or similar tools to produce many pages without adding value for users (Google, spam policies). Even where it does not reach that line, a French reader can tell when a page was translated by a machine and not written for them. An awkward French page costs budget and gives your buyer a reason to leave.

Provincial fragmentation breaks national plans

Language is the biggest split. It is not the only one.

Vocabulary shifts by region. The same service is described differently in Halifax and Calgary, and a keyword set that assumes Ontario phrasing will miss the way buyers elsewhere actually type.

Competitive sets are local. The businesses you compete with for a Vancouver query are frequently not the ones you compete with in Winnipeg, which means the bar for what content is good enough moves province to province.

Regulation varies. Some professional services face province-specific advertising rules that constrain claims and comparisons. What you may say about your results in one province is not always what you may say in another. Our healthcare marketing rules guide is the example to read if you work in a regulated profession, because it shows how a provincial professional rule changes what a page can say.

Seasonality is not uniform. A national campaign timed for a single spring does not fit a country where the practical start of the season differs by weeks across regions.

The workable structure is a national core supported by genuine provincial or metro pages, where each one earns its place with local substance rather than a swapped city name. Google’s spam policies describe doorway abuse as including pages targeted at specific regions or cities that funnel users to one page. Thin location pages that differ only by place name sit close to that pattern, and in our view there is nothing in them specific enough to be worth quoting either. Local SEO for Canadian small business goes into the location-page structure in detail.

Big Canadian publishers are asking AI crawlers to stay out

Getting cited starts with knowing what the engines are allowed to reach. Two of the country’s best-known publishers make a useful case study, because their robots files say something plain.

What the two files say. We read both on 1 November 2026. The Globe and Mail’s robots.txt disallows the whole site to GPTBot, OAI-SearchBot, ChatGPT-User, PerplexityBot, ClaudeBot, Google-Extended and CCBot. La Presse’s robots.txt disallows the whole site to the same named crawlers, apart from one /xtra/ path.

What that does and does not prove. A robots file is a request, not a technical lock. Reading one shows what a publisher asks for, not what any AI system has actually used. It does not tell us whether any assistant has ever drawn on either site, and we are not claiming that it has or has not. What it does show is that these publishers have decided, in writing, that they do not want those crawlers on their pages.

The crawler names matter because each does a different job. OpenAI documents that OAI-SearchBot is used to surface websites in ChatGPT’s search features. Sites that opt out will not be shown in ChatGPT search answers, though they can still appear as navigational links. GPTBot is a separate crawler, and each setting is independent (OpenAI, bots).

The lawsuit. The same sector is in court. The Canadian Press, Torstar, The Globe and Mail, Postmedia and CBC/Radio-Canada are suing OpenAI, alleging it uses their news content to train ChatGPT. The Ontario Superior Court ruled that it has jurisdiction, so the case proceeds in Ontario (BNN Bloomberg, 27 November 2025). Nothing has been proven, and we found no later ruling on the merits as of 1 November 2026.

Google is a different case. Google says blocking Google-Extended does not affect inclusion in Google Search and is not a ranking signal (Google, common crawlers). It also says there are no additional requirements to appear in AI Overviews or AI Mode: a page must be indexed and eligible to be shown in Search with a snippet (Google, AI features and your website). So ChatGPT and Google can behave differently for the same publisher. A site can ask OpenAI’s search crawler to stay out and still be eligible in Google’s AI features. That is why you test each assistant separately and never treat one result as a verdict on the others.

What follows for a business. This part is our view, not a finding.

• A mention in a national paper may still help with people and with Google. Do not assume it is a route into ChatGPT.
• Before you chase a mention for citation reasons, check the robots.txt of the trade body, regulator or directory you are targeting. If it blocks the crawler you care about, the effort may buy you reputation and a link, but not that citation.
• Keep your own pages crawlable to OAI-SearchBot, and state your facts plainly on them: your service area, your pricing structure, your qualifications, your process, in sentences that survive being lifted out of context.

Reviews deserve a short note. They help local ranking, and Local SEO for Canadian small business covers how to build and use them properly.

Law 25, CASL and PIPEDA: constraints on capture, not on content

Canadian rules shape this programme in a way that trips people up, so it is worth being precise about where they apply.

None of them restrict what you publish. Privacy and anti-spam law does not limit SEO, AEO or GEO content, and treating compliance as a reason to publish less is a misreading.

Where they bite is what happens after the click. CASL governs commercial electronic messages and requires consent, identification and a working unsubscribe, which shapes every follow-up sequence attached to the content. PIPEDA sets the federal baseline for handling the personal information those enquiries produce. Quebec’s Law 25 tightened consent and transparency further, with practical effects on tracking, forms and stored data for anyone dealing with Quebec residents.

The penalties attached to getting this wrong are not symbolic. Innovation, Science and Economic Development Canada states that penalties for the most serious CASL violations can reach $1 million for individuals and $10 million for businesses, which is worth knowing before treating consent as a formality rather than a control built into the system from the start. (ISED guidance on CASL penalties)

The connection to visibility is indirect but real: a form that over-collects, or a tracking setup that ignores consent, creates liability on exactly the traffic this work is designed to produce. Our guide to CASL compliance for Canadian email marketing covers the follow-up side properly.

Quebec adds one further consideration that is a publishing question rather than a capture one. Under the Charter of the French Language, websites and social media count as commercial publications. Another language is allowed provided the French version is accessible on terms at least as favourable. The rule reaches businesses with an establishment in Quebec and also businesses carrying on commercial activities in Quebec, so an Ontario company selling into Quebec is not automatically outside it. Company fines run from CA$3,000 to CA$30,000 per offence. Our Montreal digital marketing cost guide has the detail. This is general information, not legal advice, and your circumstances deserve proper advice rather than assumption.

Building an entity the engines can verify in both languages

Consistency is sensible hygiene, for people and for machines, and bilingual operations tend to let it slip.

The failure is mundane. The English site says one legal name, the French site says a slightly different one. The address is formatted one way on the site and another in the business profile. The English page lists a toll-free number and the French page a local one. Each inconsistency is trivial. Together they make it harder for a customer, and in our view for a machine, to be sure that these two pages describe the same organisation.

What resolves it is dull and effective: one legal name used identically everywhere, one address format, matching contact details, and clear language markup so each page points at its counterpart. Schema can describe the organisation, its service area and its languages of service, and that is a fair use of it.

It is not a key to AI answers. Google says there are no additional requirements to appear in AI Overviews or AI Mode, that no special schema.org structured data is needed, and that no new machine-readable files or AI text files are needed (Google, AI features and your website). Treat anyone selling schema or an AI file as the fix with caution. Keep the schema accurate, keep it consistent between the two languages, and spend the real effort on pages that say something worth quoting.

Hreflang and the language markup Google actually checks

Consistent identity establishes who your business is. Hreflang tells Google which language version of a page exists, and it is where bilingual Canadian sites often go wrong on a purely technical level.

Google’s documentation on localized versions says you can specify a language code by itself, and that a country code by itself is not allowed. So plain fr and en are valid. fr-ca and en-ca are the better fit if you target Canada specifically, or if you also run a European French edition and need to keep the two apart (Google Search Central: telling Google about localized versions).

Hreflang does not tell Google what language a page is. Google says it does not use hreflang or the HTML lang attribute to detect page language, and uses the visible content instead (Google Search Central: managing multi-regional sites). A French page that is half English will be read as the mixture it is, whatever its tag says.

The pairing has to work in both directions. Each language version must list itself as well as all other language versions, and if two pages do not both point to each other, the tags will be ignored. That failure is invisible from looking at either page on its own, so build a check for matched hreflang pairs into whatever technical audit cadence you already run, rather than assuming it is still correct once it has been set up once.

The same multi-regional guidance adds several points that fit a bilingual Canadian site:

• Keep one language per page and avoid side-by-side translations.
• Use a different URL for each language.
• Avoid automatically redirecting users by assumed language or location.
• Do not use IP analysis to adapt content.
• Add links from each page to the other language versions.

Sequencing the work when you have two languages

Doing everything twice at once is how bilingual programmes stall. A workable order, in our view:

Start in the language of your largest current demand. Get one language producing enquiries before opening the second. Two half-built language editions perform worse than one complete one.

Fix identity before content. Name, address, contact details, schema and the links between language versions. It is sensible hygiene and costs mostly attention.

Publish answers before publishing volume. The questions you already answer on the phone, written once and plainly, are a better first investment than a content calendar. We will not promise a timeline for what that earns. The AEO checklist for Canadian small business is the practical version.

Then open the second language properly. Parallel edition, not translation. Start with the pages that already earn in the first language, since you know the demand is real.

Add provincial depth last. Location pages are worth building only once you have something substantive to localise. Built first, they are thin by definition.

Budgeting for a bilingual programme

Two languages does not double the cost, but by our estimate it roughly doubles the content work, which is the largest line.

The technical foundation, schema, identity and measurement are largely shared and done once. Content is where the second language is felt, and where cutting corners with unreviewed translation is most tempting and least effective. Reviews and citations accumulate separately in each market, which is a time cost rather than a cash one.

The honest planning position is that a serious bilingual programme costs meaningfully more than a single-language one and should therefore be justified by the size of the Quebec opportunity for your specific business. For some, that opportunity is large and the answer is obvious. For others, the right decision is to win the English market thoroughly first and treat French as a later phase rather than a permanent aspiration. What SEO costs in Canada sets out the underlying numbers in CAD.

Measuring visibility you cannot see in Search Console

Search Console reports clicks and impressions, and it will not separate out the AI answers. Google says traffic from AI Overviews and AI Mode is included in the Performance report under the Web search type, so it is counted but not reported separately (Google, AI features and your website). You cannot read an AI-specific number off that report.

Track the ordinary things by language rather than in aggregate, because a blended national figure hides the market you are absent from. Rankings, impressions and enquiries should each be segmented English and French, and by province where volume allows.

The Performance report also has a Search Appearance filter for translated results (Google, translated results). If it shows impressions, French searchers are already reaching you through machine translation, which tells you the demand exists and that a proper French page has an audience waiting.

Then test the AI answers directly. Build the list of prompts a real Canadian buyer would use, in both languages, run them against the major engines on a schedule, and record whether you are named, how you are described, and who is named instead. That last part is the most useful, because it tells you which competitor the model currently trusts and what they did to earn it.

What a GEO or AEO agency in Canada should be able to show you

Hiring criteria for marketing agencies in general are covered elsewhere. What to look for in an AI marketing agency in Canada sets out the ownership, pricing and warning-sign questions that apply to any agency hire, and AI marketing agency vs in-house vs freelancer covers the build-versus-buy decision. Read those first if you have not settled the general question. What follows is narrower: once you have decided you want GEO or AEO work done specifically, how do you tell a practitioner who actually does it from an SEO firm that has relabelled its existing service.

Start by asking for evidence of citations, not rankings. Ranking on page one of Google and being named inside a ChatGPT or Perplexity answer, or a Google AI Overview, are different achievements, and an agency doing real GEO work should be able to point to a specific instance of the second for a past client rather than describe it in general terms. Ask them to show you the actual generated answer and explain what changed on the client’s pages before that citation appeared. An agency that can only speak in principles, with nothing concrete to point to, likely has not measured this for anyone yet.

Next, ask how they measure bilingual citation performance. Given that Canada is two language markets rather than one, as this guide has argued throughout, a competent practitioner working here should be able to show English and French citation rates separately for an existing client, not as one blended figure. An agency that has never looked at this split has not tested whether its French work earns citations at all.

Ask, too, whether they check entity and crawler access consistency between the English and French versions of a site. If their process stops at the English site, their work is incomplete by definition in a bilingual market.

Ask which AI crawlers each source they are targeting allows. A mention on a site that blocks the crawler you care about is a different thing from a mention on one that allows it, and an agency that has not looked at robots files before recommending where to place a story is guessing.

Finally, ask the plainest question directly: what do you do differently for citation work than for ranking work. A real answer names distinct activities, such as structuring passages as directly quotable answers, checking crawler access, and monitoring citations on a schedule. If the answer is a list of ordinary SEO tasks with “AI” added to the description, that is the tell that the methodology is not actually different.

Where Canadian businesses get this wrong

• Treating Quebec as a region rather than a market. It has its own language, competitive set and rules, and a plan that folds it into a national average will underperform in it indefinitely.
• Publishing translated pages without review. Cheap, fast, and the reason many bilingual sites have a French edition that neither ranks nor earns trust.
• Building location pages before there is anything local to say. Thin city pages sit close to what Google’s spam policies call doorway abuse.
• Chasing mentions in publications that block the crawler you want. Check the robots file before you spend a month on a pitch.
• Assuming a large international profile will carry Canadian queries. In our view, local relevance and plainly stated Canadian facts are the safer bet, and we would test it rather than assume.
• Measuring nationally. A blended number will look acceptable while one of your two markets contributes almost nothing.

Frequently asked questions

Do I need a French version of my website to rank in Quebec? To compete seriously in Quebec, our view is yes. Google treats language as a relevancy factor, and it may show an English page to a French searcher with a translated title and snippet. Clicking that result opens a machine translation, which Google does not host. That is a weak way to win a Quebec customer. Separately, the Charter of the French Language treats websites and social media as commercial publications. Another language is allowed provided the French version is accessible on terms at least as favourable, and the rule reaches businesses with an establishment in Quebec and businesses carrying on commercial activities in Quebec, so an Ontario company selling into Quebec is not automatically outside it. Company fines run from CA$3,000 to CA$30,000 per offence. This is general information, not legal advice, so take advice on your own situation.

Will an AI engine cite my English page when someone asks in French? Possibly, but we cannot confirm it from the vendors’ own documents. We found no vendor document saying how the assistants weigh languages. Google’s October 2024 Canada announcement said French was not currently supported for AI Overviews, and its current help pages list Canada as a country and French as a language without saying how they combine. Test your own French queries and record which answers appear and who is named. Our view is that a French page on your own domain is the reliable route. Unedited machine translation at scale is a policy risk, because Google’s spam policies list scaled content abuse, which includes using generative AI to produce many pages without adding value for users, and a French reader can tell.

Should I use a .ca domain or a .com? Either can work. Google calls country-code domains a strong signal to both users and search engines, so a .ca helps. Our view is that an established .com should not migrate to a .ca for SEO reasons alone, because a migration carries risk of its own. A .com with clear Canadian details, meaning a Canadian address, Canadian pricing in CAD, local phone numbers and Canadian citations, can still compete. Some countries restrict who can use their country-code domain, so check the .ca eligibility rules before you buy or move.

How do provincial differences change keyword research? They change the vocabulary and the regulation, not just the city name. Search volumes and phrasing differ between Ontario, Quebec, British Columbia and the Prairies, and some services are described differently province to province. A single national keyword list built from Toronto data will misjudge demand everywhere else, and will miss French phrasing entirely.

Is Google still dominant enough in Canada to plan around? Yes. Statcounter’s October 2026 figures for Canada, all devices, put Google at 85.03% of search and Bing at 10.46%. Statcounter measures search engines, not AI assistants. Bing’s roughly one tenth share is not nothing, and we have no Canadian figure comparing Google’s AI features with the assistants. Our view is to plan around Google first and check Bing second.

Does Law 25 affect how I do SEO and GEO? Indirectly but genuinely. Quebec’s Law 25 tightened consent and transparency requirements, and the practical effect on marketing sites is stricter handling of tracking, forms and stored personal information. It does not restrict what you publish, so it does not limit SEO or GEO content. It does shape how you collect and process the enquiries that content produces.

How long does a bilingual programme take to show results? We will not give a date, and nothing here can be promised. What moves first is what you control: fixing pages, stating answers plainly and making sure crawlers can reach them. Ranking depends on authority and competition, which differ by language and province. Two languages roughly doubles the content work, by our estimate, and that is the real constraint.

Can I just translate my English content into French? In our view, translation alone is not enough. French-language searchers phrase questions differently, care about different local references, and are served by a different competitive set. The efficient approach is to translate the factual scaffolding, then rewrite the framing, examples and questions for the French market. Treat it as a parallel edition rather than a copy. Many unreviewed machine-translated pages are also a policy risk under Google’s scaled content abuse rules, and a French reader can tell.

How do I tell whether an agency’s GEO or AEO work is genuine and not relabelled SEO? Ask for a specific instance where a past client was cited in an AI answer, not just ranked in Google, and ask what changed on the client’s pages to earn it. For a bilingual client, ask whether they measure English and French citation performance separately rather than as one blended figure, and whether they check crawler access and entity consistency across both language versions. Ask which AI crawlers each source they are targeting allows. If the honest answer is a list of ordinary SEO tasks with ‘AI’ added to the description, the methodology is very likely not different at all.

Do fr-ca and en-ca tags actually matter, or is fr and en close enough? Often fr and en are close enough. Google lets you specify a language code by itself, but a country code by itself is not allowed. fr-ca and en-ca are the better fit if you target Canada specifically or also run a European French edition. Hreflang does not tell Google what language a page is, because Google uses the visible content for that. Each version must list itself and every other version, and if two pages do not point to each other the tags are ignored. Keep one language per page, use separate URLs for each language, avoid automatic redirects based on assumed language or location, and do not use IP analysis to adapt content.

How serious are the penalties for getting CASL wrong? Serious enough to budget for as a real risk rather than a formality. Innovation, Science and Economic Development Canada states that penalties for the most serious violations can reach $1 million for individuals and $10 million for businesses. In our view, consent handling belongs in the build of any follow-up sequence rather than bolted on afterward.

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