What is the difference between AEO, GEO, and LLMO?
AEO, GEO, and LLMO each address a different layer of AI search visibility. AEO (Answer Engine Optimisation) is about structuring your content so AI engines select it as the direct answer to specific questions — it is the most immediate and query-specific of the three disciplines. GEO (Generative Engine Optimisation) is about building the citation signals and authority patterns that cause AI engines to name your brand when generating broader, synthesised industry answers. LLMO (Large Language Model Optimisation) is about the foundational layer — auditing and correcting how language models internally represent your brand, so that every AI-generated response touching your category is built on accurate, complete brand data. In Canada's bilingual environment, all three disciplines need to be applied to both English and French knowledge domains.
Which discipline should a Canadian business start with?
The starting point is always the AI Search Audit, which establishes where you stand across all three disciplines in both languages. For Canadian businesses, LLMO is frequently the most urgent foundation, particularly for those whose French-language entity data is sparse or inaccurate in major language models. That said, businesses in highly question-driven categories — professional services, SaaS, financial products — often find AEO delivers the fastest measurable return on the English-language side. The audit makes the priority order clear.
Is the bilingual angle standard, or does it cost extra?
Bilingual delivery — English and French — is built into our Canadian programme architecture, not added as an optional extra. This reflects the reality of the Canadian AI search market: a strategy that ignores French-language AI visibility leaves a significant portion of the Canadian addressable market unserved, and for businesses in Quebec or those serving French-speaking buyers nationally, the French-language gap in AI visibility is often their most significant competitive exposure.
How long does it take to see results in Canada?
Timelines for the Canadian market are broadly consistent with other markets: AEO citation rate improvements typically become measurable within six to ten weeks, GEO brand mention share builds over three to six months, and LLMO accuracy improvements surface within eight to twelve weeks as AI platforms update their retrieval systems. French-language results may have a slightly longer lead time because the authority source landscape for French-language AI systems is smaller and more concentrated than for English.
What does this cost?
Programmes are priced in CAD. Single-discipline programmes begin in the range of CAD $3,200 to CAD $5,500 per month. Integrated three-discipline programmes, covering all three disciplines in both official languages, are priced from CAD $7,500 per month. The AI Search Audit is scoped and priced separately. All pricing is confirmed after audit findings are reviewed.
How does this work alongside our existing SEO programme?
AI visibility work and traditional SEO are complementary rather than competing investments. The authority signals built through GEO reinforce the trust and citation factors that traditional SEO depends on. The content architecture built through AEO tends to improve structured snippet performance and "People Also Ask" capture in standard search results. LLMO entity data improvements stabilise the brand representation across both AI and traditional search environments. Canadian businesses running both programmes typically see SEO performance strengthen alongside AI visibility growth, rather than a trade-off between the two.
