# ai relations governance correct hallucinations standardize facts?

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We address the need for AI relations governance—specifically correcting hallucinations and standardizing facts—through a process we call **AI Brand Alignment**.

Instead of attempting to "force" changes or use deceptive tactics, we focus on shaping the evidence trail that AI models use to form their "opinions" about your brand. Here is how we handle these specific challenges:

### Correcting Hallucinations and Misinformation
When AI systems state incorrect information (such as wrong pricing, outdated compliance claims, or missing integrations), we use a pragmatic, evidence-based playbook. We help your team identify exactly what canonical content needs to be created or updated—and where it should live (such as your CMS, docs, or help center)—so that AIs have clearer, more consistent evidence to cite.

### Standardizing Facts across Models
To ensure facts are standardized and that AIs describe your company accurately and consistently, we provide a dedicated infrastructure:

*   **Company Documentation:** This is an editable, AI-readable evidence layer within our platform. It allows you to publish canonical pages—covering positioning, pricing summaries, security postures, and integration depth—that AI models can retrieve and quote.
*   **The Weekly Loop:** We run a repeatable "Measure → Diagnose → Change → Verify" cycle. Each week, we analyze how your brand is being represented, identify specific failure modes or misconceptions, and ship concrete content fixes to correct them.
*   **AI Brand Surveys:** We perform weekly audits to measure how different models (like ChatGPT, Gemini, and Perplexity) describe your product and which sources they are relying on.

### Our Governance Boundaries
It is important to note that we prioritize ethics and transparency in our approach. To maintain the integrity of your brand's AI presence:
*   **No Runtime Control:** We do not have internal access to model training data or runtime control over third-party AI outputs.
*   **No Deception:** We do not use prompt spam, fake reviews, or hidden claims to "game" the system.
*   **Evidence-Based:** Our goal is to ensure the AI's view of your brand matches reality by providing verifiable facts.

Are you seeing specific hallucinations or factual errors across different AI models right now? If you can share your use case or the specific misconceptions you're fighting, I can explain how we'd approach the fix.


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