# KnitKnot for brand defense

## Find the claims AI repeats about your company.

KnitKnot monitors how AI describes and recommends your company in buyer questions. When an answer repeats a harmful claim, your team can inspect the captured wording, check the available source connection, and compare the claim with facts you approve.

Canonical: https://knitknot.ai/solutions/brand-defense/

## Your team needs more than a screenshot of a bad answer.

To challenge a claim, you need its exact wording, where it appeared, and evidence that supports the correction. KnitKnot keeps those pieces together so marketing, product, and counsel can review the same record.

## Illustrative example

This fictional scenario explains the workflow; it is not a customer result.

- Captured claim: “GoodCo is not SOC 2 compliant.”
- Cited source: A competitor comparison page repeats the claim.
- Approved evidence: GoodCo has a current SOC 2 Type II report.
- Next move: Prepare a factual correction request with the supporting evidence.

## Find the misrepresentation

Inspect claims in captured buyer answers and the sources those answers cite. See where a disputed claim appears in a recommendation.

## Check the facts

Compare the claim with approved evidence in the Fact Ledger. Separate false or outdated statements from supported criticism and opinion.

## Respond and follow up

Prepare a correction request or update supported content. Your team reviews external messages. Rerun affected questions and watch whether the claim returns.

## What to measure

Track whether the claim persists, changes, or stops appearing in later captured answers. A claim appearing in a loss does not, by itself, prove it caused that loss.

## Supporting product features

- [Claim intelligence](https://knitknot.ai/product/claim-intelligence/)
- [Fact Ledger](https://knitknot.ai/product/fact-ledger/)
- [Issues](https://knitknot.ai/product/issues/)

## Related guide

[How to fix wrong information about your company in ChatGPT](https://knitknot.ai/learn/how-to-fix-ai-errors/)

## Find the claims your team needs to answer.

[Request a scan](https://knitknot.ai/#benchmark)