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BrandWater AI
IntelligenceAvailable at launch

Omissions

Which of our strengths does AI leave out?

What you will see

Example finding

Track your key capabilities

Capabilities you confirm as high importance are checked in relevant answers, and the matrix marks any that are rarely mentioned.

Quick answer: Omissions

Omissions compares the capabilities, use cases and markets you confirmed with how often answers actually mention them, and flags material gaps with evidence.

What you see

Lens three. An omission matrix compares the capabilities, uses and markets you confirmed against how often answers actually mention them.

Expected versus observed

Each confirmed attribute with its expected saliency and observed mention rate.

Status

A gap is flagged when observed saliency is well below expectation.

Evidence

Example runs where the attribute should have appeared.

Next action

A structured hand off to Agent, such as clarifying a page.

How it works

  1. 1

    Expect

    Attributes come from your confirmed Brand Intelligence.

  2. 2

    Observe

    Attribute mentions are extracted from stored answers.

  3. 3

    Flag

    A rule compares observed with expected saliency and marks gaps.

How it is measured

Definitions come first, so numbers stay comparable from one audit to the next.

Observed mention rate
How often an attribute is mentioned in relevant answers.
Expected saliency
High, medium or low, from the importance of the attribute to the business.
Gap status
Flagged when observed saliency is materially below expectation.

Good to know. Omissions are only as good as the confirmed brand record. Unconfirmed facts are not used to call an answer incomplete.

Common questions

Is an omission always a problem?

No. Only omissions on questions relevant to the attribute count, and only when expected saliency is high enough.

Where do the expected attributes come from?

From Brand Intelligence you confirmed, so they reflect your own record.

Is every omission a problem?

No. Only omissions on relevant questions with high expected saliency count.

A short checklist

  • Confirm expected saliency
  • Review flagged gaps
  • Open example runs
  • Assign an owner
  • Plan a re-check

Who uses it

Product marketing
Capabilities AI does not know you have.
Content strategist
Pages to clarify.
Support
Missing facts that cause questions.

Common mistakes

  • Treating every gap equally

    Prioritise by expected saliency.

  • Skipping confirmation

    The matrix relies on your confirmed record.

  • Fixing the symptom

    Correct the source, not just the answer.

See Omissions on your own brand.

Start with a first audit. We show where you appear, who is named instead, and what to fix first.