BRAND RADAR The question

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How does AIsee your brand?

Illustrative Brand Radar workflow · no live research or private reasoning

Brand Radar / Investigation

How does AI
see your
brand?

Find out what AI says, which sources shape its answers, and where human experience tells a different story.

See how the evidence comes together
Frame the investigationExpert-led

This prepares an email inquiry. Research and evidence review happen before an audit or score.

Evidence / Understanding

Find the gap.
Know what
to change.

What AI repeats is one perspective. Documented human and cultural experience is another. Brand Radar compares both.

Five dimensions. One evidence record.
Brand Radar / Report structurePreview · Not scored

Evidence before scores

AI Visibility
— / 20
Narrative Clarity
— / 20
Source Strength
— / 20
Cultural Resonance
— / 20
Perception Consistency
— / 20

The perception gap

What AI repeats.
What the evidence supports.

An audit identifies alignment, contradictions, and what remains unproven. Its findings include confidence, limitations, and the sources behind every conclusion.

These are unscored report placeholders, not an audit result. No score is generated from the inquiry form.

Inside Brand Radar

Follow the
investigation.

Investigation / 03

The perception gap

Where AI perception, public evidence, and human experience align, contradict one another, or remain unproven.

Evidence in
Recorded AI narratives compared with public and human evidence.
Intelligence out
The central finding: what aligns, what conflicts, and what cannot yet be established.
Explore the evidence behind the findings
First-party
What the brand publishes.
Independent
What outside sources substantiate.
Cultural / community
What documented human response supports.
Cited
What the tested models reference.
Missing
What remains unproven.

Missing evidence is not negative sentiment. Campaign presence is not proof of cultural resonance.

A repeatable investigation

Ask. Trace.
Compare. Retest.

A person thoughtfully studying abstract charts on a monitor in a warm studio setting.
  1. 01

    Establish the machine view.

    Record what selected AI systems say, where the brand appears spontaneously, and how consistently it is represented.

  2. 02

    Follow the public signals.

    Trace sources and citations. Compare them with documented audience response, trust, representation, and cultural evidence.

  3. 03

    Make the gap useful.

    Identify alignment, contradictions, and uncertainty. Recommend changes to public information and brand signals tied to the findings.

  4. 04

    Test again.

    Repeat the controlled questions to understand how perception changes after the recommended work.

What the five dimensions measure
AI Visibility
Does your brand appear when people ask AI about your category, needs, and competitors?
Narrative Clarity
Does AI understand what makes your brand distinct, and describe it clearly?
Source Strength
How credible, current, and consistent is the public evidence behind your brand’s story?
Cultural Resonance
What independent evidence shows meaningful connection with the audiences you want to reach?
Perception Consistency
Where do AI narratives, public evidence, and human experience align—or diverge?
What an audit delivers

A concise brand snapshot: dimension scores, confidence, the central perception gap, and priority opportunities. A private client audit preserves supporting sources, scoring rationale, contradictions, limitations, and recommended changes.

Frame your investigation Discuss an audit