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Solutions — Brand Accuracy

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Is ChatGPT giving out outdated prices or hallucinating facts about your products?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.

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Talk to an Accuracy ExpertIdentify · Trace · Remediate · Verify
“Pro plan pricing” · 4 LLMs, this weekDemo data
3 of 4 facts AI states about you are wrong.
Price AI says $59/month · record $79/month
Outdated
Ownership AI says acquired by Acme Corp · independent
Entity mix-up
Seats AI says 5 seats · record unlimited
Wrong spec
Founded AI says 2019 · record 2019
Correct
Accuracy Score · 82/100↑ from 71 last month
Hallucination audit

What wrong answers
actually cost you

— WRONG SPECS

Products misdescribed

Capabilities you don’t have get promised; ones you do have get omitted — support pays for both.

— OUTDATED PRICING

Stale numbers persist

Old tiers and retired promotions keep circulating, creating sticker shock at checkout.

— ENTITY CONFUSION

Mistaken identity

Similar names get merged — you inherit a stranger’s lawsuits, outages and reviews.

— BUSINESS COST

Silent deal-killers

Buyers pre-qualify with AI. A wrong fact removes you from the shortlist — and no one tells you.

Entity Optimization Engine

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.

01
Knowledge graph alignment
Your entities — brand, products, people — defined once, consistently, everywhere.
02
Source traceability
Every wrong answer is traced to the pages and datasets that taught it.
03
Fact consistency
The same question, the same correct answer — across LLMs and over time.
SOURCE ALIGNMENT MAPDemo data
official site ✓wikipedia △review site ✕product feed ✓
RECONCILE ↓
Golden Record
verified brand facts · single source of truth
SYNCED
VERIFY ACROSS LLMS ↓
ChatGPT✓Perplexity✓Gemini△Grok✓
Specialized toolsets

Accuracy you can
put a number on

Product Fact Checker

Expected vs. answered, per fact.

EXPECTEDAI ANSWER
$79/mo$59/mo ✕
unlimited seatsunlimited ✓
ACCURACY SCORE · DEMO DATA
82/100
↑ vs 71 · previous 30-day window
4 outdated2 conflicting1 entity mix-up

Contextual Sentiment

Whether errors skew answers against you.

accurate answerspositive-leaning
answers with errorsnegative-leaning

Fixing facts is also a sentiment strategy.

Correction roadmap

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.

01 IDENTIFY
Wrong Pro-plan price in pricing answers
evidence · 6 captured answers
owner · Brand✓ DONE
02 TRACE
Source: legacy pricing page + stale review article
evidence · source trace, 2 URLs
owner · SEO✓ DONE
03 REMEDIATE
Redirect legacy page · publish fact sheet · outreach to review site
evidence · change log + outreach thread
owner · Content● IN PROGRESS
04 VERIFY
Re-run tracked prompts until answers match the Golden Record
last verified · pending remediation
owner · PallasAIQUEUED
FAQ

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.

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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.