Measure · Clio · In development
Clio
What AI was saying about you — then.
Clio establishes what AI systems were saying about a brand, or a whole sector, at a chosen moment in the past. Named for the muse of history, it gives the present a baseline: not only where you stand today, but where you stood — and the direction you have been travelling.
How it works — said honestly
We do not pretend to interrogate a past machine
We reconstruct the information environment as it was at the target date, then measure the perception it produces.
A brand improving is not the same as a brand that has arrived.
The method
We reconstruct the sources, the coverage and the record as they were at the target date, hold a current model against only that period-correct evidence, and measure the perception it produces. Where a reading is reconstructed rather than directly recorded, we say so, and attach the confidence to it.
Two depths
Index configuration — a periodic, sector-level time series. Audit configuration — deep and brand-specific, triangulating archives and reconstruction with per-finding confidence. Same engine, two depths.
In development
A brand improving is not the same as a brand that has already arrived.
Clio is how you tell them apart. Tell us you would like to be in the first cohort, and we will bring you in as the capability matures.