Entity authority is the LLM equivalent of Google's E-E-A-T signal: how confidently the model recognizes your business as a canonical source for a specific topic in a specific market. High entity authority increases citation likelihood across all AI surfaces simultaneously. **The entity recognition graph.** LLMs build their entity understanding from a combination of: their training corpus (which includes Wikipedia, Wikidata, news media, government registries, and broad web crawls); structured data they can parse from the open web (schema.org markup); citation patterns (which sources are mentioned alongside which entities, repeatedly); and live web access (for engines with browsing capability). **Specific actions that build entity authority:** **Wikipedia article (where applicable).** Wikipedia is heavily weighted in LLM training data. Businesses that meet Wikipedia's notability standards (substantial coverage in independent reliable sources) benefit from a Wikipedia article. Businesses below the notability bar should not attempt to create one — Wikipedia editors will delete it and the attempt can damage your reputation in editorial communities. **Wikidata entry.** Easier to qualify for than Wikipedia and structured for machine parsing. Most established Canadian businesses qualify for a Wikidata entry. The entry should include: official name, founding date, founders, location, industry, official website, social media handles. Structured Wikidata properties feed directly into many LLM entity graphs. **Comprehensive schema markup.** Implement Organization schema with sameAs properties linking to all your authoritative external profiles (Wikipedia, Wikidata, LinkedIn, social media, registry pages, professional directories). For named experts, implement Person schema linked from author bylines. **Consistent name and identity.** Use the same business name everywhere — full legal name on legal pages, consistent brand name on marketing pages. Inconsistent naming (Acme Corp on the website, Acme Inc. on LinkedIn, Acme Corporation on Google Business Profile) fragments LLM entity recognition. **Citations in established Canadian media.** Mentions in Globe & Mail, Financial Post, CBC, Maclean's, La Presse, Le Devoir, BetaKit, Canadian industry publications, and government sources (.gc.ca, provincial domains) substantially increase entity weight in LLM training corpora and live citation behaviour. **Publish original Canadian-context analysis.** Original research, surveys, or analysis that other authoritative sources cite back to you compounds entity authority over multi-year horizons. **Speaking engagements and published works.** Conference talks (recorded and indexed), books, peer-reviewed publications, and bylined articles in industry media all build entity authority for the named experts within your business — which transitively builds authority for the business itself. **Industry directories and registries.** Professional society directories (CMA, CIM, Engineers Canada, provincial law societies, provincial colleges of physicians, CPA Canada, etc.) carry significant weight as authoritative sources for the corresponding professional categories. For Canadian businesses, the entity authority game has a meaningful asymmetry: building entity authority within Canadian-context queries is more achievable than building it within global queries because the competitive set is smaller. A Canadian business that ranks as the canonical source for a Canadian-context topic faces less competition than one trying to be the canonical source globally.