Platform · Governance
Govern what AI says about your brand.
Agent Brand Governance turns inaccurate AI answers into a reviewable queue. Approve evidence-backed corrections, settle head-to-head claims, and keep your brand facts current, with a trail you can defend.
Governed across every major engine
Product surface
Truth governance queue
Flagged outputs, approved ground truth, evidence, and verification status in one queue. Every wrong answer about you, worked to a fix you can prove.
Answer Engine Insights
LiveAwaiting review
9
Approved corrections
21
Truth accuracy
82%
Category ranking
Owning the answer
Cited first in 6 of 8 priority prompts.
What you control
From flagged answer to verified correction, in one workflow.
Built so marketing teams can govern AI output the way they govern brand, with evidence, approval, and an audit trail.
Output-gap queue
Every inaccurate, outdated, or unfavorable AI answer is captured as a reviewable item, sorted by impact, not buried in a report.
Truth accuracy scoring
Each brand fact is scored on how accurately models reproduce it, so you know which truths are landing and which are drifting.
Evidence-backed corrections
Corrections require a source. Attach approved material, set verification status, and create a trail you can stand behind in front of leadership, legal, or a regulator.
Head-to-head adjudication
Review the prompts where models compare you to rivals, mark the winner, and supply the proof that should decide the answer.
Agent perceptions
See how models characterize your brand beyond the facts: the framing, the caveats, and the favorability that shape a recommendation.
Marketer-friendly workflow
Swipe-style review, clear verdicts, and routed tasks mean non-technical marketers can govern AI output without engineering.
The governance loop
Detect. Correct. Reinforce.
Detect
The platform compares live AI outputs against your approved brand facts and flags every gap: a wrong claim, a stale number, an unsupported competitor advantage, a shift in tone. Each becomes a governance task with the model, the prompt, and the offending answer attached.
Correct
A marketer reviews the gap, selects the approved ground truth, and attaches the evidence that backs it. Verification status moves from flagged to sourced to approved, so nothing ships on assertion alone.
Reinforce
Approved corrections update the brand facts registry and feed the execution studio, so the next thing you publish carries the signal models need to answer correctly next cycle. Governance becomes a loop, not a one-time cleanup.
FAQ
Agent Brand Governance, answered.
Anything an AI model gets wrong or frames poorly about your brand: inaccurate facts, outdated figures, missing capabilities, unsupported competitor claims, and unfavorable or out-of-policy tone. Each is captured as a task with the source prompt and model output, then routed through review.
You do not edit the model. You change the evidence it retrieves and reasons over. Governance identifies the gap and the approved truth, the execution studio publishes the citable signal, and observability confirms the answer moved. Corrections are durable because they are grounded in real, sourced content.
Marketing, brand, and communications teams. The review experience is built for non-technical users: a clear queue, plain-language verdicts, evidence uploads, and verification status. No prompt engineering or code required.
Answer Engine Insights surfaces the gaps, the Knowledge Base holds the approved ground truth and editorial rules, and the AEO Execution Studio ships the content that reinforces a correction. Governance is the workflow that ties detection to action.