Brand Entity Optimisation for AI: Wikipedia, Wikidata and Beyond
What actually earns you a Wikipedia page, why Wikidata is the realistic move for almost everyone else, and the schema work that ties it together.
Position your brand directly inside the LLM answer layer. Beyond traditional rankings, GEO focuses on how generative models retrieve, synthesise, and recommend your brand. These guides unpack entity strength, third-party footprint alignment, and the exact signals that move the needle across LLMs.
What actually earns you a Wikipedia page, why Wikidata is the realistic move for almost everyone else, and the schema work that ties it together.
AI engines don’t crawl the web the way Google does, they retrieve, then decide what’s worth citing. Here’s what actually turns a press mention into a source an AI model reaches for.
D2C buying decisions are moving into chat windows. Here’s what actually earns a mention when a shopper asks an AI which skincare brand to buy instead of typing it into Google.
GEO is the practice of optimising your brand so that AI-generated search answers include you. Here’s what it is, how it differs from AEO and SEO, and what it takes.