There was a time when a number could not get into a decision without first surviving a few questions. An analyst put a figure in front of you, and before it went any further, you asked where it came from, why they believed it, and what they would say if someone challenged it. This was … Read more
In July 2025, Deloitte, one of the world’s largest consulting firms, handed the Australian government an independent assurance report it was paid roughly A$440,000 (about US$290,000) for. It looked impeccable: 237 pages, properly cited, written in the house style of a firm that has audited the world for a century. By every signal an organisation … Read more
By now, the problem is familiar: AI will write your research in minutes, but it cannot tell you which parts to believe. The obvious way to fix unreliable AI research is to build better AI research. However, instead of joining the crowded, well-funded race of building bigger and smarter models, we built on top of … Read more
The people who carry the most accountability for AI-assisted research rarely run the searches themselves. They are the executives, the board members, and the partners who make the decision. When an AI research tool gets a fact wrong, the cost falls on them. AI-assisted research has become genuinely useful, and that is what makes the … Read more
PRISM converts hundreds of simulated buyer queries into five weighted pillar scores and one AEO health score, with every figure traceable to a real AI response. Why one number needs a defensible method A single AEO health score is only useful if the method behind it can be examined. The score in question is the … Read more
The quiet failure no dashboard reports Answer engine optimisation (AEO) is the practice of measuring and improving how AI assistants represent your company in the answers they generate. This piece explains what AEO is, why it matters now, and how to measure it with a framework called PRISM. Key points Buyers now ask AI assistants … Read more