LLM SEO is a near-synonym for GEO (generative engine optimization) — the same discipline of optimizing for inclusion in AI-synthesized answers. The terminology is unsettled in 2026: some practitioners use 'GEO,' others 'LLM SEO,' others 'AIO' (AI Overview optimization), others 'answer engine optimization.' All refer to substantially the same body of work. **Where LLM SEO and classical SEO agree:** - Both reward genuinely high-quality, well-structured content - Both require technical health (renderable HTML, fast load times, mobile-first) - Both benefit from authority signals (citations from established sources) - Both reward freshness for queries where freshness matters - Both penalize obvious manipulation (keyword stuffing, link spam, content farms) **Where LLM SEO and classical SEO diverge:** **Success measurement.** Classical SEO measures position in the ranked list and click-through. LLM SEO measures citation in the synthesized answer and resulting brand visibility (which may not produce a click). **Optimization unit.** Classical SEO optimizes pages and sites. LLM SEO often optimizes specific passages within pages — the 100–300 words that the LLM is most likely to extract for citation. **Authority signals.** Classical SEO weights backlinks heavily. LLM SEO weights backlinks but also weights 'entity authority' (whether the LLM recognizes your site as a canonical source for the topic) and 'co-citation patterns' (whether your site is mentioned alongside other authoritative sources in established corpora). **Crawler access.** Classical SEO requires Googlebot access. LLM SEO requires AI crawler access (GPTBot, ClaudeBot, PerplexityBot, Google-Extended, etc.) — and sites that previously blocked these crawlers must unblock them to be cited. **Schema importance.** Classical SEO benefits from schema. LLM SEO benefits more from schema because the LLM uses schema to parse entities and relationships cleanly. **Content age effects.** Classical SEO has subtle freshness effects. LLM SEO has more pronounced freshness effects because LLMs explicitly check page modification dates and prefer recently-updated content for many query types. **Practical implications for Canadian businesses:** - Don't treat LLM SEO as a separate workstream. Build it into the same content production process as classical SEO. - Adjust default templates to lead with the answer (first-paragraph directness). - Add named author bios with verifiable credentials to all substantive content. - Implement Article, FAQPage, HowTo, Person, and Organization schema consistently. - Audit robots.txt to ensure AI crawler access reflects current strategic intent. - Add LLM citation tracking to monthly reporting alongside classical SEO metrics.