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.

Primary rec % Top five % Mentioned % Belief Measuring

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.

Brand, as AI sees 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.

Trust

StrongA large, stable bank with a long record. Stated as fact.

Rewards

StrongOne of the strongest programs, partners named unprompted.

Fees

PartialDefended for travelers, used against the brand for everyone else.

Service

StrongBranch access and the app come up as reasons to choose it.

Rates

ThinAlmost never attached to the brand. The answer sends buyers elsewhere.

“Which card for travel?”

Trust and Rewards decide it. Both held.

“Which card has no annual fee?”

Fees decides it. Partial. The recommendation hedges, then names someone else.

“Which card has the lowest rate?”

Rates decides it. Thin. Here is a list of competitors.
What we do

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.

01 · Measure

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.

  1. 01How often AI recommends you, across the models your buyers use.
  2. 02Who gets recommended instead, and how often.
  3. 03The beliefs behind every answer.
Brand Monitoring · Briefing and funnel metricsBrand monitoring: where the brand stands with AI, with the briefing and how often it is the answer
02 · Change

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.

  1. 01The beliefs deciding each answer.
  2. 02The work that moves them, ranked by impact.
  3. 03Checked against the models before you publish.
Action Items · Content Recommendation QueueAction items: one action opened, with its impact, effort, and the reasoning behind it
03 · Prove

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.

  1. 01A clear view of how often AI recommends you over time.
  2. 02How AI beliefs about your brand are evolving over time.
  3. 03The downstream signals that follow, like branded search or conversions, shown alongside it.
Performance · Outcomes over timePrimary recommendation share, branded search impressions and conversions on one timeline, with the content wave and model refresh marked
Designed for transparency

Consistent measurement, auditable results.

No black box. No shifting goalposts. A consistent method, every time. When the answer moves, the model moved.

How we handle your data →

Example brand reads

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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