AI ANSWER ACCURACY OPERATIONS
When AI gets your brand wrong, prove it—and fix it.
HowAITrust gives brand, communications and legal teams one evidence chain from the exact AI answer to the authoritative fact, correction decision and recheck proof.
Exact answer evidence Human-reviewed facts Before-and-after proof
BRAND ACCURACY / OPEN CASEHUMAN REVIEW REQUIRED
Observed promptDoes Acme Analytics offer HIPAA-compliant hosting?ChatGPT Search · United States · Sep 14
HIGH PRIORITY
“Acme supports HIPAA workloads on every plan.”Potential commercial and legal exposure · no supporting source shown
Illustrative workflow—not a real company finding or factual verdict.
THE BUSINESS RISK
An AI mention can still cost the sale.
Visibility tells you whether your brand appears. Accuracy operations tell you whether the answer is material, what your organization can prove and whether the correction changed the next answer.
Capture the record
Preserve the buyer question, platform, market, answer excerpt, source URLs and observation time.
Establish the fact
Attach one canonical fact and authoritative source before a reviewer can assign a verdict.
Close with evidence
Document the correction decision, run the same question again and retain the after-answer.
WHAT THE TEAM GETS
From a disputed answer to a defensible outcome.
Every artifact has a clear evidence boundary, so teams can move quickly without turning a priority score into a false claim of truth.
Accuracy case file
The exact prompt, observed answer, platform, market, time and visible sources in one reviewable record.
Replaces screenshots scattered across chat and email.Evidence-backed verdict
A named canonical fact, authoritative source, human verdict and documented correction decision.
Separates what AI said from what the company can substantiate.Before-and-after record
The correction note and recheck answer retained with the case and a new audit revision.
Shows progress without claiming causation the evidence cannot prove.2-MINUTE CLAIM TRIAGE
Decide what deserves verification first.
This prioritizes human review. It does not determine whether the AI answer is true or false.
BUILT TO AVOID FALSE CERTAINTY
Observation first. Verdict second.
Every case starts as unverified. HowAITrust requires a canonical fact and authoritative source before a reviewer can label a claim accurate, inaccurate, outdated or ambiguous.
Read the methodology →BUYER QUESTIONS
Clear boundaries before procurement.
No invented coverage, automatic truth claims or hidden activation assumptions.
Does HowAITrust decide whether an AI answer is true?
No. It prioritizes review. A human reviewer must attach a canonical fact and authoritative HTTPS source before assigning a factual verdict.
Is the workspace public?
No. Claim cases, observed answers and correction notes stay inside the authenticated workspace and are excluded from search indexing.
What can we use today?
The private claim workflow, deterministic review priority, evidence-backed verdicts, correction notes, recheck proof and revision history are available today.
Is monitoring fully automated?
Not yet. Automated multi-engine monitoring is not sold as available. Design-partner collection scope is agreed before payment.
START WITH ONE MATERIAL ANSWER
Make the first case decision-ready.
Bring the brand, market and AI answer that matters. We will confirm evidence access, scope and success criteria before payment.