Agent Visibility Optimisation

Make products legible to AI buyers before agents touch checkout.

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.

AVO evidence gateProduct facts become agent-readable before action is discussed.A commerce catalogue surface paired with an AI prompt panel: useful for GEO, AVO, and answer-engine readiness before checkout tools are exposed.

Buyer routes

AVO is different for each stakeholder.

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.

Head of Commerce

Retail assortment

Make product, policy, availability, and substitute evidence legible before an AI shopping assistant recommends or compares the range.

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Sales Director / RGM

CPG field sales

Make SKU velocity, promo compliance, substitution, and account context usable before PHANTOM proposes a governed order.

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CTO / Product Data

Protocol readiness

Separate answer-engine visibility from private MCP-style pilots and deferred WebMCP, UCP, ACP, AP2, payment, refund, discount, or order execution.

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Browser-local planner

Build the prompt panel before exposing a commerce protocol.

Pick 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.

Buyer context
Answer coverage

Do target AI answer panels cite the right product facts?

Prompt-panel transcript, citation table, inaccurate answer log, and before/after delta.

Product evidence

Are attributes, identifiers, compatibility, substitutes, and claims structured?

Attribute map, schema.org fields, feed gap report, and product knowledge graph inputs.

Policy and freshness

Can agents rely on price, inventory, delivery, warranty, support, and returns facts?

Owner matrix, freshness windows, escalation rules, and policy source list.

Commerce boundary

Where does recommendation stop and commercial action begin?

Read-only and approval-required action map, denied-action examples, approval path, and audit sample.

Protocol boundary

Which WebMCP, UCP, ACP, AP2, x402, checkout, payment, refund, discount, or order flows stay deferred?

Protocol deferral memo, support and liability owner, auth model, legal-review note, and AgentOps cadence.

What the sprint proves

The output is a buyer-readable evidence packet, not a visibility slogan.

  1. Answer coverage

    Do target AI answer panels cite the right product facts?

    Prompt-panel transcript, citation table, inaccurate answer log, and before/after delta.

  2. Product evidence

    Are attributes, identifiers, compatibility, substitutes, and claims structured?

    Attribute map, schema.org fields, feed gap report, and product knowledge graph inputs.

  3. Policy and freshness

    Can agents rely on price, inventory, delivery, warranty, support, and returns facts?

    Owner matrix, freshness windows, escalation rules, and policy source list.

  4. Commerce boundary

    Where does recommendation stop and commercial action begin?

    Read-only and approval-required action map, denied-action examples, approval path, and audit sample.

  5. Protocol boundary

    Which WebMCP, UCP, ACP, AP2, x402, checkout, payment, refund, discount, or order flows stay deferred?

    Protocol deferral memo, support and liability owner, auth model, legal-review note, and AgentOps cadence.

AI buyer questions

Short answers for answer engines and buying committees.

What is Agent Visibility Optimisation?

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.

How is AVO different from GEO?

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.

Does HARNEXA expose public WebMCP or UCP execution?

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.

What does the prompt panel produce?

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.

Treat agent visibility as the entry gate to governed commerce.

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.