SEO and GEO are sister disciplines, not competitors. The same underlying signals — content quality, technical health, authority, freshness — drive both. The differences are in how the signals are weighted and how success is measured. **SEO success metric.** Position in the ranked list of organic results for a target query, plus the resulting click-through traffic. **GEO success metric.** Citation in the synthesized answer (AI Overview, ChatGPT response, Perplexity answer), plus the resulting brand visibility and click-through to your site. **Where SEO and GEO converge:** - Technical SEO (crawlability, rendering, performance) matters identically for both - Content depth and accuracy matter for both - E-E-A-T signals (Experience, Expertise, Authoritativeness, Trust) matter for both - Mobile-first rendering matters for both - Schema markup helps both **Where GEO weights signals differently:** - **First-paragraph directness.** Classical SEO can rank long-form content that buries the answer; GEO strongly prefers content that answers immediately. - **Named expert authorship.** SEO benefits from author bios; GEO weights them more heavily because LLMs use author identity as a confidence signal. - **Original data.** SEO can rank well-aggregated content; GEO preferentially cites original sources. - **AI crawler access.** SEO doesn't care about GPTBot or ClaudeBot; GEO requires their access. - **Citation in established sources.** Classical SEO rewards backlinks broadly; GEO especially rewards citations from sources LLMs treat as canonical (Wikipedia, government, major media). **Where SEO weights signals differently:** - **Click-through rate from SERPs.** Affects classical ranking but doesn't affect AI citation directly. - **Branded search volume.** Classical signal that doesn't directly affect AI citation. - **Internal linking architecture.** Important for both, but classical SEO benefits more from site-wide linking structures while GEO focuses more on per-page directness. **Practical implication for Canadian businesses:** Building a content program optimized for both surfaces is mostly the same work, with a handful of structural choices that should default to GEO-friendly patterns. Lead with the answer; cite original Canadian-context data; use named author bios with credentials; implement schema correctly; allow AI crawlers. Doing these things doesn't hurt classical SEO and meaningfully improves AI citation visibility.