AI BRAND INTELLIGENCE
Does AI trust your brand?
You know what your human consumers think of you.
But AI is now your fastest growing audience and you have no idea if machines trust you enough to choose you.
POWERED BY
AI BRAND INTELLIGENCE
You know what your human consumers think of you.
But AI is now your fastest growing audience and you have no idea if machines trust you enough to choose you.
POWERED BY
Across hundreds of consumer brands in dozens of categories, AI's understanding of a brand runs at a median of 16 out of 20. Its willingness to actually put that brand forward runs at 9.5. The distance between those two numbers is the whole problem — and every category we have measured sits the same way round.
Banking has nearly closed it — understood 14, chosen 13.5 — which matters more than any of the wide gaps, because it proves the distance is closable rather than inherent.
Marketing already knows what builds brand trust: a consistent voice, corroboration from people who are not you, evident competence, and transparency about who you are. Those drivers are not superseded by AI. They are what the machine reads. We measure them in the machine population rather than a survey panel.
The last row is the one that has moved. Conventionally the trust judgement is your customer's, and you observe it afterwards through retention, repeat purchase and referral. Increasingly it is made first by a machine, on your customer's behalf, before your brand is ever seen.
Counting how often AI mentions you is not the same as knowing whether it is right about you. Before we score anything we build an independent, dated, sourced record of what your brand actually is. The score is the distance between that and what the machines say. A system with no independent record can only observe that a model said something — it cannot know the thing was false.
Not how much a machine knows about you. How far it will go on your behalf — and whether it is right when it does.
Forty-three brands now have two readings. Twenty-six of them fell between Q2 and Q3, with a median move of −3 points. No budget was cut. No campaign was pulled. The machines simply did not update — and every quarter a brand is left uncorrected, the wrong answer sets a little harder.
This is the number no brand tracker will show you, because your customers did not change their minds. Your machine did.
Live from the ARA Index
5 of 14 categories · 66 brands scored · ranked by Trust Tier, live from the ARA Index
Request your ARA Assessment →The evidence, not just the score
The Shelf is the raw surface underneath every Trust Tier score — the actual question, the actual model, the actual brand it named. Nothing here is inferred. This is Beer Q3: 22 brands, four models, every query.
What ARA measures
What your ARA Assessment delivers
Overall ARA Index score 0–100 plus a per-dimension score across A1–A5, with the tier label that goes with each.
Where you sit relative to your category peers — without the deep competitor decomposition reserved for category-level engagements.
A three-section narrative brief: what your brand is winning at in AI, what's dragging it down, and the highest-leverage move to change the score.
From diagnosis to outcome
Every finding routes to one of three levers — never a recommendation with nowhere to land.
Naming, laddering, hierarchy, sub-brands. When AI can't tell your sub-brand from its parent — or resolves your name to a different company entirely — that's not a visibility problem. It's a structure problem, and it is fixable in weeks, not a rebrand.
Range shape, hero vs. long-tail, gaps, cannibalization. AI recommends what it can confidently name first. A range with no clear hero, or two SKUs competing for the same answer, hands the recommendation to whoever isn't confused.
Every touchpoint a model can read: packaging, retail, guest experience, product design, UX, CX, digital and physical content, advertising. Everywhere a human meets your brand is a signal a machine reads too — and scores.
What a finding looks like
Prime is one of the fastest-growing drinks brands on earth. Ask Claude, GPT, Gemini or Perplexity about it and 33 times out of 64 they answer about a shipping subscription. Celsius returns a temperature scale and a crypto lender that went bankrupt in 2022. Monster answers as a job board. Every unambiguous name in the same study scores a clean 64 out of 64. If your brand shares a name with something bigger, part of every pound you spend on demand is routed to the thing you share it with — and no amount of media spend buys it back.
How it works
Tell us who you are and what brand you'd like scored.
We'll confirm fit, scope, and category context. No pitch deck.
We score your brand across A1–A5 using the ARA methodology and four frontier models.
Scores, narrative, and a prioritized opportunity list — yours to act on.
