Brand equity.
Built inside AI.
Every AI answer is a shortlist. We put you on it more often, and prove it in your own numbers.
Chase Sapphire Travel rewards cardsOpen the read →
Your buyers don’t browse anymore. They ask.
AI doesn’t give them ten blue links.
It gives them a shortlist and a recommendation.
We measure how often that name is yours. Then we move it.
To AI, your brand is a set of beliefs. Together they decide the shortlist.
Ask an AI which card to get. It searches, then answers from what it already believes about each brand. Some beliefs it states as fact. Some it hedges. Some it never mentions.
Whoever’s beliefs win the question makes the shortlist. The rest don’t.
Points go further
StrongTransfer partners and the travel portal make each point worth more.Fair fee
StrongThe annual fee is easy to justify.Covered when you travel
PartialTrip and rental protections come with the card.Big welcome bonus
ThinThe sign-up bonus is one of the largest available.“Which card for travel?”
Points go furtherStrongTransfer partners and the travel portal make each point worth more.Fair feeStrongThe annual fee is easy to justify.Points go further and Fair fee decide it. Both strong. The models state both without being asked.“Which card protects my trip?”
Covered when you travelPartialTrip and rental protections come with the card.Covered when you travel decides it. Partial. The models mention it with a hedge.“Which card has the biggest sign-up bonus?”
Big welcome bonusThinThe sign-up bonus is one of the largest available.Big welcome bonus decides it. Thin. The models rarely attach it to the brand.Map the brand elements. Read what AI believes about each one. Move the beliefs that decide the shortlist.
When a model answers a buyer’s question, it is drawing on a few things it believes about each brand. We measure each of those beliefs, show which ones are solid and which are weak, and fix the weak one that is costing you the recommendation.
Know what AI believes about you.
Every recommendation rests on what the model believes about your brand. We measure how often you are the answer, who is the answer when you are not, and the beliefs deciding it.
- 01How often AI recommends you, across the models your buyers use.
- 02Who gets recommended instead, and how often.
- 03The beliefs behind every answer.
Change what AI believes.
You can move how AI recommends you. We tell you how to move each weak belief, and we test it against the models before it goes live.
- 01The beliefs deciding each answer.
- 02The work that moves them, ranked by impact.
- 03Checked against the models before you publish.
Prove it moved.
When AI recommends you more, it moves your market share. We put our measurement next to your own branded search and sales data on one timeline, so the change is yours to see, in your numbers.
- 01A clear view of how often AI recommends you over time.
- 02How AI beliefs about your brand are evolving over time.
- 03The downstream signals that follow, like branded search or conversions, shown alongside it.
Consistent measurement, auditable results.
No black box. No shifting goalposts. A consistent method, every time. When the answer moves, the model moved.
How does AI interpret a brand?
What AI says, why it says it, and what would change its mind.
None of these brands are clients. Each read is an independent look at how AI systems understand a brand, published as an example of the method.
Win the shortlist.
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