GEO:
the long game.
Generative engine optimization (GEO) is the practice of building a brand's presence on the external sources that AI models read when forming knowledge: Wikipedia, Wikidata, Reddit, and authoritative editorial publications. Where AEO targets what a model retrieves in a single query, GEO targets what the model already knows about a brand before any query is asked. It is the slowest of the three search disciplines and the hardest to reverse once established.
AI tools learn from the web. They trust Wikipedia, Wikidata, Reddit, and authoritative editorial sources far more than most brand websites.
Run a free auditMaking sure AI tools know who you are
We correct or create your brand's profile on Wikipedia and Wikidata, the sources AI tools trust most when deciding how to describe a business. Your category, description, and key facts need to match across every source they read. Inconsistencies produce wrong citations or no citations.
Reddit presence
Honest presence in the communities models read. Participation, not spam. The subreddits relevant to your category are a significant source of what models learn about brands like yours.
Consistent facts across every source AI reads
AI tools pull your brand's name, description, and category from dozens of sources. When those sources say different things, AI tools get confused or cite you incorrectly. We make them consistent: Wikipedia, Wikidata, Crunchbase, LinkedIn, industry directories, and editorial publications.
Citation source building
Placements in publications and reference sources that carry weight in model training data. Industry directories, editorial features, authoritative regional and sector press.
GEO compounds over 12 to 24 months. It is the slowest of the three disciplines and the hardest for a competitor to reverse-engineer once it is in place. The brands that start earlier hold the category longer.
The free audit includes your current entity recognition status and which reference sources are missing.
Run a free audit