makefield

Week 10 · measuring it

The audit: measuring it without fooling yourself

Seven dimensions are only useful if you can measure them the same way twice. This is what separates an audit from a vibe.

From map to measurement

Seven dimensions, measured — or just opinions

The seven dimensions tell you what to look at. An audit is measuring them — and without rigour, "measuring" collapses into an impression you could have had for free. The whole value of an audit is that it produces a baseline you can stand behind and measure change against later. That only holds if it's done in a way you could repeat and a way that doesn't quietly flatter you.

The machinery · what a company can change

The outcome · what the engines say

What makes it trustworthy

Four things, every time

The traps it has to dodge

Drift, the mirror, and the single sample

Three things sink a careless audit. Drift: engines answer the same question differently on different days, so one reading isn't a measurement. The mirror: checking while logged in shows a flattering phantom. The single sample: one engine, one query, one day tells you almost nothing — the pattern across engines and a real spread of buyer questions is the finding. A good audit is built to dodge all three; a quick check usually walks into them.

What you end with

A baseline, not a verdict

Done properly, an audit hands you a scored, dated, reproducible picture of where you stand across the seven dimensions and the major engines — not a single grand number, but a baseline. That baseline is the thing the rest of the method acts on: you can't correct what you haven't located, and you can't prove a fix worked without a measurement to compare it to.

You can run a rough version yourself — see audit your AI visibility in an afternoon. Next: turning what the audit finds into fixes.