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PLATFORM / TRUTH MONITOR

When AI Gets Your Brand Wrong, Be the First to Know

Truth Monitor audits every sentence answer engines produce about your brand at the level of individual facts: a wrong price, an outdated feature list, a confused product name, an incorrect return policy. When a drift is detected it traces the source, opens the correction as a Workflow Agent task and tracks the fix until it lands back in the answer.

PRODUCT VIEWFrom the live product interface
A Live Drift FileFrom detection to confirmation
Claim caught: outdated priceOK
Source traced: campaign pageOK
Correction task openedRUN
Re-test: confirmed in 30 days
Drift TypesA 38-brand sample
Outdated price%34
Wrong feature%27
Brand confusion%22
Wrong policy%17
Confirmed FixesOf sourced corrections
%92in 30 days
SCREENSHOT + MODEL + DATE ARCHIVE
Claims Being CaughtFrom the live stream
Returns in 14 days (really 30)
Pricing from $79 (stale)
No SSO (it shipped)
Model name confused with rival

What Is Truth Monitor?

Truth Monitor audits every sentence answer engines produce about your brand at the level of individual facts: a wrong price, an outdated feature list, a confused product name, an incorrect return policy. When a drift is detected it traces the source, opens the correction as a Workflow Agent task and tracks the fix until it lands back in the answer.

Distribution of drifts detected across enterprise customers in the first 90 days. Sample: 38 brands.

The Four Most Common Drifts and What They Cost
  • Outdated price: %34 — An expired campaign page — Trust lost at the moment of purchase
  • Wrong feature: %27 — Old version docs — Users arriving with wrong expectations
  • Brand confusion: %22 — A similarly named rival — Citations leaking to the rival
  • Wrong policy: %17 — A third-party review site — Support load and refund disputes
A Wrong Answer Costs More Than No Answer
  • The Only Impression in a Zero-click Era: When users decide without visiting your site, the sentence AI produces is your only storefront. If it is wrong, you never get the chance to correct it.
  • Evidence for Legal and Compliance: Every drift is archived with screenshot, model, date and source. In regulated industries it goes straight into the audit file.
  • A Category First: Fact monitoring is a new layer for the category; measurement tools report the drift, Truth Monitor delivers the fix and confirms it.

From Claim to Correction in Four Steps

Swipe to explore.

Extraction

Factual claims are parsed out of every answer that mentions your brand: numbers, dates, policy sentences, product attributes.

Comparison

Claims are checked against your approved source-of-truth set: price lists, policy pages, product data.

Root Cause

When a drift is found, the source the model cited is traced — usually an old blog post, a third-party listing or an expired campaign page.

Fix and Confirm

The correction opens as a Workflow Agent task; after it ships, the same prompts re-run until the claim is confirmed fixed.