AI VISIBILITY ROADMAP — STRATEGIC PLANNING SERVICE

A 90-Day Sprint Plan and 12-Month Roadmap for Building AI Visibility — in English and French

Canadian businesses face a visibility challenge that is both shared with global markets and distinct to this country. AI systems are reshaping discovery across every sector — but in Canada, the question of language is not secondary. A business that is visible to AI in English and invisible in French is not visible in Quebec, in bilingual federal procurement, or to the growing share of Canadian consumers and decision-makers who search and receive AI responses in French. The AI Visibility Roadmap for Canada addresses both languages as a strategic requirement, not an afterthought, and delivers a structured 90-day sprint and 12-month plan your team can execute to build measurable AI visibility across the full Canadian market.

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This is for you if

Who This Is For

**Canadian enterprises with bilingual market obligations** — federally regulated businesses, Crown corporations, national consumer brands, and companies operating in Quebec and Ontario — that need an AI visibility programme that treats French-language visibility as a first-class strategic objective, not a translation job added at the end.

**Marketing and SEO leaders at mid-market Canadian technology and professional services firms** who have watched AI search erode their organic traffic and understand that the response requires a coordinated plan across content, technical, and authority-building work — not individual tactical fixes deployed without sequencing.

**Business development and communications teams making the internal case for AI visibility investment** within Canadian enterprises where budget approval requires a documented business case with milestones, resource estimates, and measurable success criteria. The roadmap produces exactly that document.

**Canadian companies entering US, UK, or international markets** that need to manage AI entity accuracy across multiple markets and language contexts simultaneously — ensuring that what AI says about the business in Toronto is consistent with what it says in Chicago, London, or Sydney.

What's broken

What's Broken

French-language AI visibility is being treated as a translation task.

This misunderstands how AI systems work. AI visibility in French requires French-language content that answers French-language questions, French-language citations in French-language publications that AI systems have indexed, and entity data that accurately represents the organisation in French. Running an English-language AEO strategy and then translating outputs does not produce French-language AI visibility. It produces translated content with no citation authority and no structured French-language entity presence.

The bilingual content strategy does not extend to structured data.

Many Canadian organisations with strong bilingual web presence have failed to extend that bilingualism to their structured data, their entity descriptions in Knowledge Graph, or their presence in the reference sources that AI systems use to generate factual claims about organisations. The result is an entity record that AI systems treat as primarily English, regardless of how much French-language content exists on the website.

There is a plan for SEO and no plan for AI.

The shift from traditional search to AI-mediated discovery is not simply an SEO update. The mechanisms are different, the content requirements are different, and the authority signals that matter are different. Canadian businesses that have well-developed SEO programmes often assume that existing content and link authority will carry over into AI visibility — and are surprised when audit findings show that organisations with weaker traditional SEO but stronger structured entity data and AI-training source citations outperform them in AI responses.

Federal and provincial procurement is moving toward AI-assisted discovery.

Procurement professionals and policy researchers across Canadian federal and provincial government are increasingly using AI tools to identify qualified suppliers, research industry participants, and develop briefing materials. An organisation that does not appear accurately in AI responses to procurement-relevant queries is at a structural disadvantage in public-sector business development — regardless of its registration in supplier databases.

What we engineer

What We Do

Current-state assessment report

diagnostic covering entity accuracy in English and French across major AI platforms, citation presence in ChatGPT, Perplexity, and Google AI Overviews for both English-language and French-language queries, structured data bilingual coverage, content AEO readiness in both languages, and authority signal analysis across English-language and French-language publication sources

Prioritised opportunity register

ranked list of AEO, GEO, and LLMO opportunities with explicit bilingual sequencing — identifying where French-language gaps represent the highest-priority work and where English-language foundations need to be in place before French-language work can compound

90-day sprint plan

week-by-week execution schedule covering quick wins in both languages (structured data corrections, entity updates, high-impact FAQ content in English and French), bilingual foundation-building in weeks four through eight, and first-phase content and authority work in weeks nine through twelve

12-month strategic roadmap

full-year plan across four tracks: content and AEO (English), content and AEO (French / Plan de contenu en français), authority and GEO, and entity and LLMO; with quarterly milestones, resource requirements, and success metrics defined for each track

Resource scoping document

breakdown of internal resource requirements, external support options, and cost estimates in CAD, with separate scoping for English-language and French-language work streams where resource profiles differ

Reporting framework and dashboard specification

bilingual KPI definitions, measurement methodology for both English-language and French-language AI visibility metrics, and dashboard structure suitable for presenting to English and French-speaking stakeholders

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What changes

What Changes

Before

After

Before French-language AI visibility becomes a measurable, managed programme.

After Rather than an ongoing uncertainty about whether the business appears in French-language AI responses, you have a dedicated track with specific content targets, citation-building activities, and entity management tasks — all with defined milestones and KPIs. French-language AI visibility moves from a gap to a growing asset.

Before The sequencing problem is resolved.

After Your team stops debating whether to prioritise AEO or GEO, whether French or English content should come first, and whether technical work or content production is the higher priority. The roadmap makes those decisions based on your specific current-state position and competitive landscape, documents the reasoning, and gives the team a clear execution order.

Before Bilingual market coverage becomes a competitive advantage.

After Most of your competitors in the Canadian market are running English-only or weakly bilingual AI visibility programmes. An organisation that builds strong French-language entity accuracy, citation presence in major French-language publications, and question-targeted French-language content establishes a structural advantage in Quebec and bilingual markets that will be difficult for competitors to close.

Before Investment is scoped and approved, not debated.

After The resource scoping document gives your finance and leadership teams the specific cost estimates, internal hour requirements, and tooling costs they need to make a budgeting decision. AI visibility investment becomes a line item with a plan, not a vague ask for resources to address a new channel.

Common questions

FAQ

What does the AI Visibility Roadmap include for Canada?

The roadmap includes a current-state assessment covering English and French separately, a prioritised opportunity register with explicit bilingual sequencing decisions, a 90-day sprint plan with English-language and French-language tasks mapped and dependencies identified, a 12-month strategic roadmap with a dedicated French-language content and AEO track, a resource scoping document in CAD, and a bilingual reporting framework. The French-language track is a distinct strategic element of the roadmap, not a translation appendix.

Do I need an audit before starting the roadmap?

Existing audit findings are incorporated into the situation assessment if available. If no prior audit exists, we run the rapid 10-point current-state assessment as the first step of the engagement, covering English and French AI visibility positions separately. The assessment takes approximately one week and produces the baseline document needed for the prioritisation workshop.

How long does the engagement take?

The standard engagement runs over three to four weeks. Organisations with existing audit findings can move faster; those requiring the full current-state assessment typically take four weeks from kick-off to final delivery. We can accommodate organisations with specific internal review timelines or board presentation schedules.

What does the roadmap cost?

Pricing for a Canada-market roadmap starts from CAD $7,200 for a standard bilingual engagement. The bilingual scope — including the dedicated French-language content and AEO track, bilingual structured data assessment, and bilingual reporting framework — is included in the base price rather than added as a separate line item. A fixed-price quote is provided following an initial scoping call.

Does Ignited Nepal execute the roadmap or only produce the plan?

The roadmap is a standalone planning document your internal team can execute. Ignited Nepal also offers retained execution programmes covering sprint management, English-language and French-language content production, authority-building outreach, technical implementation, and LLMO correction management. The planning and execution engagements are scoped separately; you are not required to purchase execution support to receive the roadmap.

How are results measured?

Results are measured against the KPIs in the bilingual reporting framework. AEO citation rate, GEO mention share, LLMO accuracy score, and entity health score are all tracked in English and French separately, because visibility in one language does not imply visibility in the other. Baseline measurements are taken during the situation assessment. Quarterly milestone targets are set for each metric in each language, and leading indicators — content published, citations built, structured data deployed, entity corrections confirmed — are tracked to provide progress visibility before outcome metrics move.

Our team

The people behind the work

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

Niraj Raut

Founder — Ecommerce SEO

Keshab Joshi

PPC Expert

Hawrry Bhattarai

Google Ads Expert

Arogya Rijal

SaaS SEO Expert

About Us →

Start here

AI visibility in Canada means visibility in both official languages — and most of your competitors have only addressed one.

The AI Visibility Roadmap gives your team a structured, sequenced, fully bilingual plan for building AI visibility across the Canadian market. The French-language track is built as a strategic priority from the start, not added as an afterthought. The engagement takes three to four weeks. The roadmap covers twelve months. The gap between where you are and where your bilingual competitors are building is closing every week.

Run an AI Visibility Audit →

Run an AI Visibility Audit