Fix Inaccurate AI Answers About Your Brand
Is ChatGPT giving out outdated prices or hallucinating facts about your products? PallasAI provides enterprise-grade ai brand accuracy management to identify, trace, and correct misinformation in the AI knowledge base.
What wrong answers
actually cost you
Products misdescribed
Capabilities you don’t have get promised; ones you do have get omitted — support pays for both.
Stale numbers persist
Old tiers and retired promotions keep circulating, creating sticker shock at checkout.
Mistaken identity
Similar names get merged — you inherit a stranger’s lawsuits, outages and reviews.
Silent deal-killers
Buyers pre-qualify with AI. A wrong fact removes you from the shortlist — and no one tells you.
One Golden Record, every source aligned
Corrections don’t stick if the sources disagree. PallasAI maintains a verified fact base for your brand and aligns the ecosystem models learn from.
✓
✓
△
✓Accuracy you can
put a number on
Product Fact Checker
Expected vs. answered, per fact.
Contextual Sentiment
Whether errors skew answers against you.
Fixing facts is also a sentiment strategy.
Governance, not guesswork
PallasAI doesn’t edit ChatGPT. It runs a verifiable correction workflow on the sources models learn from — with an owner, evidence and status for every fix.
Brand accuracy, answered
No — and no vendor can. What PallasAI does is correct the sources models learn and retrieve from, then re-verify tracked answers until they match your Golden Record. It is a governance workflow with evidence, not an edit button.
Outdated facts (old prices, retired plans), incorrect claims (wrong specs or capabilities), conflicting information across sources, and entity confusion — your brand merged with a similarly named company or product.
Every fix ends with verification: tracked prompts re-run across LLMs and each fact is compared to the Golden Record. Fixes carry an owner, evidence and a last-verified timestamp, so accuracy is auditable over time.
Stop the Spread of
AI Misinformation
Find every wrong fact AI is telling your customers — and the source behind it.
Leading the Way in AI Brand Accuracy Management
AI brand accuracy management is the discipline of finding, tracing and correcting the wrong facts AI systems repeat about your brand — outdated pricing, incorrect specifications, conflicting claims and entity mix-ups. It is the factual half of AI reputation management: before you can shape how assistants talk about you, you have to make sure what they state is true. Because assistants synthesize answers from many sources, a single stale page can contaminate thousands of conversations. PallasAI starts with an AI search visibility audit, quantifies the problem with an Accuracy Score, classifies every error, and traces each one to the sources that taught it.
From there, entity optimization does the durable work: a verified Golden Record of brand facts, knowledge-graph alignment across your official properties, and a correction roadmap — identify, trace, remediate, verify — with owners, evidence and status for every fix. The outcome is product information accuracy and fact consistency across LLMs that brand, legal and product information teams can audit and defend.