Fact Tracker
See what AI is saying about your brand and rewrite the narrative. Collect facts LLMs are sending to users, flag incorrect or harmful ones, and follow them back to their source.
Take control of your brand narrative in AI
Waikay surfaces every AI-generated claim about your brand as a checklist you can act on. Mark facts as correct, flag inaccuracies, and stay on top of damaging hallucinations before they spread. Millions of people ask AI models about brands every day. Fact Tracker makes sure what the LLMs say about yours is actually true.
Collect AI Facts
Waikay pulls full statements AI models generate about your brand directly from their output. No summaries, no assumptions.
Organised by Model and Topic
Facts are tagged with model attribution and grouped by topic so you can see exactly where issues are concentrated.
Flag Hallucinations
LLMs can confidently state things that are simply not true. Flag incorrect or harmful narratives before they damage your reputation.
Trace to Source
Waikay asks LLMs to cite potential sources for each fact. Because LLMs have an attribution problem these are starting points for investigation, not confirmed origins.
Track Progress
Progress counters and visual indicators show how many facts you have reviewed and validated across all topics.
4 Models Covered
Waikay tracks facts from ChatGPT, Gemini, Claude, and Sonar (Perplexity), showing which model each claim came from.
From AI output to brand control in three steps
Create Reports
Facts are collected via your Topic Reports. Create a report for each topic area and Waikay will extract all AI-generated claims about your brand in that context.
Let Waikay extract the facts
Waikay isolates full statements from topic-level AI responses across all four models and organises them with source links and model attribution.
Make informed decisions
Review each fact, check what is correct, flag what is wrong, and use the suggested citations to investigate potential sources. If LLMs are misunderstanding you, you need to act fast and accurately.
What does the Fact Tracker include?
Smart Fact Extraction
Pulls full statements or sentiments about your brand directly from LLM responses.
Waikay isolates these facts and tags them with model attribution, turning AI output into clear, usable insights you can act on.
Fact-by-Fact Review
Review and manage each fact in one place with simple actions for every item.
Check what is accurate, flag what is wrong, or delete what is irrelevant. Gives you full control over how your brand is represented in AI.
Source Attribution
Waikay asks LLMs to provide citations for where they may have sourced each fact.
Because LLMs have an attribution problem, these are potential sources rather than confirmed ones, but they give you a strong starting point for investigation and correction.
AI Model Breakdown
Shows which LLM said what with colour-coded display by model and side-by-side comparisons.
Lets you focus on the models that matter most to your audience.
Progress Tracking
Progress counters and visual indicators across topics show how many facts you have reviewed and validated. Helps you stay organised as you improve your AI reputation over time.
Millions of people ask AI models about brands every day. If the answers contain false information about yours, Fact Tracker is how you find out and take action before it damages your reputation or costs you customers.
See it in action
Frequently Asked Questions
A fact is a full statement an AI model generates about your brand, pulled directly from its output. No summaries, no assumptions. Waikay extracts these verbatim so you can see exactly what AI models are telling users about you.
Waikay asks LLMs to provide citations for where they may have sourced each fact. Because LLMs have an attribution problem, these are potential sources rather than confirmed originals. However they give you a strong starting point to investigate where a claim may have come from and take steps to correct it.
It goes into a review list so you can revisit it later, correct the source, or use it in Source Tracking. Flagging is the first step in taking action against inaccurate or harmful AI claims about your brand.
Waikay currently tracks facts from ChatGPT, Gemini, Claude, and Sonar (Perplexity), and shows which model each fact came from. This lets you identify which models are most prone to inaccuracies about your brand and focus your efforts accordingly.
Facts are updated with each new Topic Report analysis, based on your tracking frequency: daily, weekly, or monthly depending on your plan.
Fact Tracker focuses on the claims AI models make about your brand and lets you verify or flag each one. Source Tracking focuses on the web pages LLMs are citing, split into knowledge sources and commercial sources. They work together: flagged facts in Fact Tracker connect to the source data so you can investigate and fix the root cause.
Use the suggested citations to investigate where the inaccuracy may have originated. These are potential sources provided by the LLM rather than confirmed ones, so treat them as a starting point. You can update your own content, reach out to third party sites, or use the GEO Action Plans feature to get a prioritised plan for improving how AI models understand your brand on that topic.
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Find out what AI models are saying about your brand right now and take back control of your narrative.
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