AVO / GEO
GEO (Generative Engine Optimisation)
Content and structured-data work designed to be cited correctly by AI answer engines.
GEO is the practice of making pages, definitions, evidence, authorship, and structured data clear enough for AI answer engines to cite and summarise accurately.
Why it matters
Buyers increasingly ask AI systems for vendor shortlists, category definitions, and implementation guidance. If the source is not extractable, it is not visible.
How HARNEXA uses it
HARNEXA uses schema, FAQ blocks, definition pages, llms.txt, and primary-source references to make governed agentic commerce and AVO legible to AI engines.
FAQ
Questions this definition answers.
How is GEO different from SEO?
SEO targets search rankings and snippets. GEO targets answer-engine extraction, citation, and summarisation.
Why does HARNEXA need GEO?
Because governed agentic commerce is still an emerging category, and the canonical definitions should be clear, citable, and linked.
Need these definitions mapped to a live commerce workflow, agent estate, or protocol-readiness path?
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