Evidence-based research on AI search visibility, agent infrastructure, governance, and measurement — the depth tier above pillar articles, written for the people who actually have to decide.
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How a credit licensee makes its own surface reachable by AI agents through open agentic-commerce standards while keeping the regulated relationship on its own licence — where control actually sits, how an open licence can hide a certification chokepoint, and the diligence before becoming inventory inside another company's marketplace.
Read whitepaperThe web is splitting into a human surface and a machine surface that is metered, licensed, and paid for per request at the edge. The second axis beyond discoverability — control and monetisation of agent access — as four quadrants (Open Shopfront, Metered Storefront, Members' Library, Vault), the rails it runs on, and the capability it requires: policy-as-control at the access boundary.
Read whitepaperIdentity, policy, audit, revocation — the four-dimension architecture for enterprise agentic AI, plus standards mapping and the Authority Register coinage.
Read whitepaperAcademic foundations, platform mechanics, measurement frameworks, and an evidence-based assessment of what works versus what's hype in ANZ.
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The ANZ regulatory landscape — Privacy Act amendments, AI6, APRA CPS 230/234, ISO 42001 trajectory, AICD board expectations, and Big 4 approaches compared.
Read whitepaperRank-weighted SOV, AI Share of Model, ESOV-to-growth theory, and a unified measurement framework for board-ready competitive intelligence.
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The whitepapers set out the field. The role pages set out what NETEVO does about it — including the engagements we turn down.