AVO / GEO
Agent Visibility Optimisation (AVO)
Product-data readiness for AI buying agents that need to discover, compare, represent, and recommend products accurately.
AVO is the discipline of preparing product evidence for agentic purchase decisions. It goes beyond SEO rankings and GEO citations by asking whether an AI buying agent can find the product, understand the attributes, verify constraints, compare alternatives, and recommend accurately.
Why it matters
If product data is incomplete, contradictory, or not machine-readable, commerce agents will misrepresent the product or skip it entirely.
How HARNEXA uses it
HARNEXA uses AVO checks across catalogue attributes, feed quality, schema.org, policy facts, product proof, prompt panels, and Protocol + AVO readiness memos.
FAQ
Questions this definition answers.
How is AVO different from GEO?
GEO targets AI answer citations. AVO targets agentic product decisions such as discovery, comparison, substitution, compatibility, and recommendation accuracy.
What evidence improves AVO?
Complete product attributes, identifiers, availability, pricing rules, compatibility, warranty and return facts, schema.org data, and trustworthy product proof.
Need these definitions mapped to a live commerce workflow, agent estate, or protocol-readiness path?
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