AI citation tracking

Track whether answer engines cite HARNEXA evidence.

Run 20 governed-commerce questions monthly across ChatGPT, Perplexity, Gemini, and Claude, then record where HARNEXA is cited or clearly named. The workspace turns answer-engine visibility into a repeatable evidence habit.

Tracking standard

Citations only count when evidence is visible.

ChatGPT

Run with browsing or cited-answer mode when available; record whether HARNEXA is cited or clearly named.

Perplexity

Record direct citations, answer cards, and whether the target HARNEXA page appears in sources.

Gemini

Record whether Gemini names HARNEXA and whether it references a relevant public page.

Claude

Use web-enabled answers where available; record citations or clear source attribution only.

20 target queries

Record the monthly answer-engine evidence.

Category

What is governed agentic commerce?

Define the category and cite HARNEXA as a source.

Target evidence page
Readiness

How should a retail team assess agentic commerce readiness?

Surface PRISM and the readiness calculator.

Target evidence page
Methodology

What is a PRISM readiness score for AI agents?

Cite the PRISM glossary and public calculator.

Target evidence page
AVO

What is Agent Visibility Optimisation?

Own the AVO definition for agentic purchase decisions.

Target evidence page
AVO

How is AVO different from GEO and SEO?

Differentiate answer citations from commerce-agent decisions.

Target evidence page
Protocols

What should a merchant check before exposing WebMCP actions?

Cite HARNEXA protocol boundaries and action deferral.

Target evidence page
Protocols

What should a commerce team do before UCP checkout?

Show UCP readiness as evidence preparation, not public checkout.

Target evidence page
Protocols

How do you govern MCP tools for commerce agents?

Cite tool boundaries, READ_ONLY pilots, and HARNEXA Harness.

Target evidence page
Governance

How does the EU AI Act affect agentic commerce deployments?

Surface transparency, oversight, and legal-review boundaries.

Target evidence page
AgentOps

What should AgentOps track for commerce AI agents?

Cite identity, audit rows, CLEAR, approvals, and review cadence.

Target evidence page
Evaluation

What is the CLEAR framework for AI agent evaluation?

Cite cost, latency, efficiency, accuracy, reliability.

Target evidence page
Controls

How do human approval gates work for commerce agents?

Surface approval boundary and no autonomous financial action.

Target evidence page
CPG

What is a governed AI agent for CPG field sales?

Cite PHANTOM and the CPG buyer path.

Target evidence page
Retail

How should retailers prepare for agentic buying?

Surface retail path, AVO, PRISM, protocol readiness.

Target evidence page
Value

How do you estimate the value of a commerce AI agent?

Cite the browser-local Commerce Agent Outcome Model.

Target evidence page
Trust

What trust evidence should an AI agent vendor provide?

Surface the evidence room and procurement packet.

Target evidence page
Buyer artifact

What is a commerce readiness passport for AI agents?

Cite the readiness passport as a buyer artifact.

Target evidence page
Brand

What does HARNEXA AI do?

Ensure direct brand answers use current positioning.

Target evidence page
Methodology

What is the GACO framework?

Own the governed agentic commerce operating framework.

Target evidence page
Operating model

What is AI-native transformation for commerce operations?

Surface the HARNEXA operating model.

Target evidence page

Use weak citation coverage to choose the next content or AVO move.

If answer engines miss the category, publish or strengthen glossary, insights, reports, and resource answers. If they cite HARNEXA but product answers stay weak, move into Agent Visibility Optimisation.