Pitot Index · ARES-C

How the machines read the brands that define the premium.

A live, evidence-led index of how frontier AI systems interpret, rank and recommend the brands in thirteen premium categories — published between boutique consulting and Bloomberg.

The instrument

One sweep, five dimensions.

ARES-C queries ten frontier AI systems the way a customer would, then scores every reading across five dimensions. The same instrument runs over every brand, every sector — so the numbers compare.

A
Authority
Whether the system treats the brand as a reference point in its category.
R
Reputation
The sentiment and standing the machine attaches to the name.
E
Expertise Visibility
How clearly the brand's specific competence surfaces.
S
Signal Consistency
Whether the reading holds across systems and prompts, or fragments.
C
Context
The frame the brand is placed in — peers, occasions, associations.

See the full ARES-C framework →

Methodology paper

The Pitot Index whitepaper.

The full methodology — universe selection, prompt design, scoring, validation and the limits of the instrument — authored by Andrea Maticevic. In preparation.

Coming soon