LLMO PROMPT INTELLIGENCE · AI VISIBILITY · IGNITED NEPAL

The Prompts Driving AI Recommendations in Your Canadian Market — Mapped, Scored, and Ready to Act On

Canadian buyers are conducting research in two languages. They are asking ChatGPT, Perplexity, and Google Gemini questions in English in Toronto and Vancouver, and questions in French in Montréal, Québec City, and communities across the country. The brands that appear as AI citations in both linguistic environments are earning awareness, credibility, and commercial consideration that never shows up in your analytics. Ignited Nepal's LLMO Prompt Intelligence service mines 100 or more category queries across English-language and French-language prompt environments, tests every prompt across five major LLMs, scores each one by citation opportunity, and delivers a ranked prompt library with a tier-by-tier implementation brief that gives your team a clear, prioritised roadmap for earning AI citations across Canada.

This is for you if

WHO THIS IS FOR

The first is the pan-Canadian brand that serves customers in both English and French Canada and whose marketing function has historically had to manage two distinct content environments. These organisations understand the operational complexity of bilingual marketing better than anyone. What they now face is a third layer of complexity: the AI prompt landscape in French Canada is not simply a translation of the English-language landscape. French-speaking buyers phrase questions differently, reference different local competitors, and use AI systems in ways that produce citation patterns with only partial overlap with English-language results. A prompt intelligence engagement that covers only English is not a pan-Canadian strategy.

The second is the US-headquartered brand that has expanded into Canada and whose Canadian digital presence is largely an extension of its US website. These organisations typically have strong English-language AI citation performance in US LLM queries but limited understanding of their citation position in Canadian English-language queries (which can differ in competitive context) and almost no visibility into French-language citations. LLMO Prompt Intelligence provides the Canadian-specific picture that their global AI visibility programme does not produce.

The third is the Canadian B2B technology, professional services, or financial services brand competing for enterprise clients across the country. These organisations are well aware that their buyers conduct online research, but they have not yet mapped the extent to which AI systems are now part of that research process — or which of their competitors are being recommended by those systems before an RFP is even issued.

The fourth is the growth-stage Canadian brand that has invested significantly in SEO and content marketing and is now being asked by investors or the board to demonstrate that its digital programme covers AI search, not just traditional search. The ranked prompt library is exactly the kind of structured, evidence-based deliverable that answers that question credibly.

What's broken

WHAT'S BROKEN

The French-language blind spot

The vast majority of LLMO tools and methodologies were designed for English-language markets, and the Canadian agencies and consultants that have begun offering LLMO services typically build their prompt libraries from English-language sources. This means that French-language prompt mining is either absent or is conducted by translating English-language prompts into French — a process that consistently underestimates the distinctiveness of French-Canadian AI search behaviour, misses local terminology, and produces a prompt library that does not reflect how Québécois buyers actually pose questions to AI systems.

A misreading of what Canadian AI citation data actually shows

A brand may be cited consistently in English-language ChatGPT responses for prompts originating in Ontario but receive no citations in Québec French-language responses for equivalent prompts. This divergence is commercially significant — it represents a systematic absence from the consideration set of French-speaking buyers. Without prompt-level testing in both languages, this divergence is invisible.

The assumption that strong Canadian SEO translates into AI citation strength

Canadian organisations that rank well in Canadian Google results for their target keywords often assume that this performance carries over into AI-generated recommendations. The evidence does not support this assumption. LLMs draw on a different mix of signals than Google's ranking algorithm, and citation patterns frequently diverge from organic search positions — particularly in markets like Canada where there is a local dimension (Canadian sources, Canadian pricing, provincial regulatory context) that AI systems weight differently than global search.

The absence of a prioritised Canadian prompt list

Even organisations that are aware of the LLMO opportunity have not produced a ranked list of the specific prompts they should target. Without that list, marketing and content teams distribute their effort across too many potential topics, create content that earns no citations on any LLM, and conclude — incorrectly — that LLMO investment does not produce returns. The return requires concentration, and concentration requires a ranked prompt library.

What we engineer

WHAT WE DO

Bilingual Canadian Prompt Inventory

A structured library of 100 or more prompts drawn from English-language and French-language query environments in your Canadian market category. French-language prompts reflect actual Canadian French usage, incorporating Québécois phrasing conventions and market-specific terminology rather than European French translations of English queries.

Intent Classification with Canadian Market Context

Each prompt is classified by intent stage — awareness, comparison, buying-intent, and brand-specific — with annotations that reflect the specific Canadian market context where relevant. This includes provincial regulatory differences that affect category-level questions (financial services, insurance, healthcare, real estate) and the bilingual brand references that appear in French-language prompts.

Cross-LLM Citation Testing — English and French

Every prompt is tested in its primary language across ChatGPT, Perplexity, Google Gemini, Claude, and Bing Copilot. English and French results are documented separately, producing a complete picture of the citation landscape in both Canadian linguistic markets.

Citation Opportunity Score — Bilingual Index

A numerical Citation Opportunity Index score for each prompt, reflecting citation frequency, achievability, and commercial value assessed separately in the English-language and French-language LLM environments.

Competitor Citation Analysis — Canadian Market

For the top-tier prompts, a structured analysis of the competitors currently receiving citations in each language environment, with analysis of the probable citation signals and identification of the specific gaps your brand needs to close.

Ranked Prompt Library with Bilingual Implementation Brief

The complete ranked library, tiered by opportunity score, with an implementation brief that addresses both English-language and French-language content strategies — including the distinct publication channels, authority signals, and content formats most effective in each Canadian linguistic market.

What changes

WHAT CHANGES

Before
After
Before The French-language blind spot
After The first change is the resolution of the French-language blind spot. For the first time, the organisation has a documented, tested picture of its citation position in French-language AI responses — not an estimate based on English-language data, not a translated proxy, but actual tested results from French-language prompts run across five LLMs. For brands serving French Canada, this is a strategic intelligence gap that has been open since AI search began and that LLMO Prompt Intelligence closes.
Before No bilingual content brief
After The second change is the creation of a bilingual content brief that marketing teams in both English and French markets can work from simultaneously. The implementation brief specifies, for each tier of prompts, what content types, formats, and authority signals are most likely to produce citations in each language environment. This gives bilingual content teams a common reference point without forcing them to work from a single English-language strategy that they then adapt imperfectly for French.
Before A blurry view of the Canadian competitive landscape in AI
After The third change is a sharper picture of the Canadian competitive landscape in AI. Canadian brands frequently underestimate the AI citation strength of US competitors who have built content libraries at scale and are being cited by LLMs for Canadian market queries — even when those US competitors have limited actual Canadian market presence. Knowing which competitors are being cited, in which language environment, for which prompts, gives the strategy team a more accurate competitive map than any traditional competitive analysis tool provides.
Before No credible answer to investor and board scrutiny
After The fourth change is a credible, structured AI visibility programme that satisfies both investor and board scrutiny. The ranked prompt library, with its Citation Opportunity Index scores and per-tier implementation brief, is a document that answers the board-level question — "what is our AI search strategy?" — with evidence rather than aspiration.
Common questions

FAQ

What is LLMO Prompt Intelligence?

LLMO Prompt Intelligence is a structured research and analysis methodology that identifies, categorises, and scores the specific conversational questions — prompts — that large language models use when forming recommendations and citations in a given market category. For Canadian organisations, the methodology covers both English-language and French-language prompt environments, producing a bilingual ranked prompt library that reflects the actual AI search landscape across Canada rather than only its English-language dimension.

How is this different from keyword research?

Keyword research identifies terms that users enter into traditional search engines and measures their monthly search volume. LLMO Prompt Intelligence maps the conversational questions that users pose to AI systems — questions that are structurally longer, more intent-laden, and often absent from keyword tools entirely because they do not generate sufficient Google search volume. In Canada, the distinction is compounded by the bilingual dimension: French-language prompts posed to AI systems reflect a distinct vocabulary, intent structure, and competitive landscape that keyword tools cannot capture even in French-language keyword research, because the AI prompt phrasing differs substantially from search query phrasing.

What makes a prompt high-opportunity?

A prompt achieves a high Citation Opportunity Index score when three conditions align: LLMs engage actively with the topic type and produce named brand citations, the current cited competitors are not so entrenched that achieving citation within six to twelve months is unrealistic, and the commercial intent of the prompt — the stage in the buyer's journey it represents — is high enough that a citation is genuinely valuable. For Canadian bilingual prompts, the opportunity score is assessed separately in English and French environments, because a prompt that is highly competitive in English may be largely uncontested in French, or vice versa.

How long does the engagement take?

The standard LLMO Prompt Intelligence engagement for the Canadian bilingual market runs four to five weeks. English and French prompt mining runs in parallel over the first two weeks. Cross-LLM citation testing in both languages and competitor citation mapping are completed in weeks three and four. The ranked prompt library and bilingual implementation brief are delivered in week five. For organisations that need a faster output, a focused engagement covering the top fifty English-language prompts in a single category can be completed in ten to twelve working days, with the French-language component added as a second phase.

What does it cost?

LLMO Prompt Intelligence for the Canadian bilingual market is priced from CAD $6,500 for a single-category engagement covering 100+ prompts across English and French, the full five-step process, and the bilingual implementation brief. Multi-category engagements and ongoing prompt monitoring programmes are scoped based on the number of categories and the depth of competitor mapping required. All pricing is provided in writing before work begins.

How do we use the output?

The Ranked Prompt Library and implementation brief are designed for direct use by content, digital marketing, SEO, and communications teams in both English and French markets. Tier 1 prompts become the immediate content commissioning brief in both languages. The implementation notes specify the content formats, authority signals, and publication channels most effective for citation generation in each language environment. Many Canadian organisations also use the library as the foundation for their AI visibility reporting — tracking citation movement for Tier 1 prompts monthly and presenting bilingual results to leadership as part of their digital performance review.

Our team

The people behind the work

Not a black box. Real specialists you can call, with their names on the work.

Niraj Raut

Niraj Raut

Founder — Ecommerce SEO
Keshab Joshi

Keshab Joshi

PPC Expert
Hawrry Bhattarai

Hawrry Bhattarai

Google Ads Expert
Arogya Rijal

Arogya Rijal

SaaS SEO Expert
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CLOSING CTA

The bilingual prompt landscape in your Canadian market is already producing commercial outcomes for the brands it cites. LLMO Prompt Intelligence from Ignited Nepal gives you the complete picture — English and French, scored and ranked — so your team can act with precision rather than guesswork.

Your Canadian competitors are being cited by AI in two languages. Your buyers are reading those citations in both.