Retail assortment
Make product, policy, availability, and substitute evidence legible before an AI shopping assistant recommends or compares the range.
avo-product-dataAgent Visibility Optimisation
HARNEXA turns GEO, AVO, WebMCP, UCP, product evidence, and AgentOps into one governed readiness path for retail, e-commerce, and CPG teams. The first job is not execution. It is making the facts an agent would cite, compare, recommend, and audit visible.
Buyer routes
A commerce owner wants answer quality and assisted conversion. A CPG operator wants SKU and promo evidence. A CTO wants protocol boundaries that do not create shadow execution.
Make product, policy, availability, and substitute evidence legible before an AI shopping assistant recommends or compares the range.
avo-product-dataMake SKU velocity, promo compliance, substitution, and account context usable before PHANTOM proposes a governed order.
cpg-field-salesSeparate answer-engine visibility from private MCP-style pilots and deferred WebMCP, UCP, ACP, AP2, payment, refund, discount, or order execution.
avo-product-dataPick the buyer context, name the product set, then score the evidence needed for answer engines and commerce agents. The result becomes a PRISM, passport, or founder-review handoff with public execution still disabled.
Prompt-panel transcript, citation table, inaccurate answer log, and before/after delta.
Attribute map, schema.org fields, feed gap report, and product knowledge graph inputs.
Owner matrix, freshness windows, escalation rules, and policy source list.
Read-only and approval-required action map, denied-action examples, approval path, and audit sample.
Protocol deferral memo, support and liability owner, auth model, legal-review note, and AgentOps cadence.
What the sprint proves
Prompt-panel transcript, citation table, inaccurate answer log, and before/after delta.
Attribute map, schema.org fields, feed gap report, and product knowledge graph inputs.
Owner matrix, freshness windows, escalation rules, and policy source list.
Read-only and approval-required action map, denied-action examples, approval path, and audit sample.
Protocol deferral memo, support and liability owner, auth model, legal-review note, and AgentOps cadence.
AI buyer questions
Agent Visibility Optimisation prepares product and policy evidence so AI answer engines and commerce agents can discover, compare, represent, and recommend products accurately before any transaction rail is exposed.
GEO focuses on AI answer citations. AVO goes further by testing whether product data, policies, substitutes, compatibility, and freshness are strong enough for agentic buying decisions.
No. Public HARNEXA pages expose readiness evidence only. WebMCP actions, UCP checkout, ACP/AP2 payments, refunds, discounts, orders, and CRM writes remain deferred until private governance gates are reviewed.
The prompt panel produces buyer questions, answer-quality evidence, missing product or policy facts, recommendation risk notes, and a handoff into PRISM, the readiness passport, or founder-reviewed intake.
Start with answer quality and product evidence. Add PRISM and the readiness passport. Only then discuss private MCP-style tools, WebMCP review, UCP readiness, or deployment.