Advisory · Sydney, Australia
Most organisations adopted AI faster than they wrote rules for it. Staff are already pasting customer data into chatbots, drafting client-facing copy with models nobody assessed, and acting on outputs nobody checked. This is the work of making those decisions deliberate, before an incident makes them urgent.
AISearch Global is a pure-play answer engine optimisation and generative engine optimisation consultancy. AI search visibility is the entire practice, and that focus is the point of it. Bolting a governance line onto it would make it the thing it was built not to be.
Governance is a different discipline. It shares a root with the visibility work, both are about how AI systems handle information about an organisation, but the client, the deliverable and the risk are not the same. So it is offered separately, under my own name, and the separation is deliberate rather than administrative.
If what you need is to be found, cited and recommended in AI answers, that is AISearch Global and you should start there. If what you need is rules for the AI your own people are already using, that is this page.
The documents are yours. The engagement is designed to end, not to become a retainer.
This is advisory work. It is not certification, and it is not legal advice. Nothing here accredits your organisation against any standard, and where a decision turns on legal exposure you should be taking it to a lawyer rather than to me.
It is also newer than the AI visibility practice and does not yet have a published case study behind it. If that matters to your procurement process, say so early and we will scope accordingly.
I am the founder of AISearch Global and the author of the Two-Clock Model and Trust Transfer, both working papers on how AI systems form and correct beliefs about entities. Roughly 50 completed certifications across AI, generative AI, AI ethics, human-centred AI, psychology and leadership sit behind the practice.
The research and the advisory work feed each other. A framework that only lives in a paper is easy to agree with and hard to use, and a policy written without understanding how these systems actually behave tends to regulate the wrong thing.