How to Find Contradictory Information Across Your Website
How to Find Contradictory Information Across Your Website
Fact Verification in QueryBurst performs semantic search for any specific fact across all indexed pages, compares every instance, and highlights contradictions — showing surrounding context for each mention. Use it to find conflicting years of experience, inconsistent pricing, outdated statistics updated on some pages but not others, and any discrepancy that AI models might cite without qualification.
How Does QueryBurst Fact Verification Work?
1. Semantic Search
Your query is used to search all indexed content. The AI-powered search finds semantically relevant mentions, not just exact matches.
Example: Searching "years of experience" will find:
- "Over 20 years of experience"
- "Two decades in the industry"
- "Established in 2004"
2. Grouping by Page
Results are grouped by page, showing you exactly where each mention appears. This makes it easy to compare what different pages say.
3. Consistency Analysis
An LLM reviews all found mentions and analyzes:
- Are the facts consistent?
- Are there any contradictions?
- Are there variations that might confuse users?
Understanding Results
Summary Stats
- Mentions Found - Total number of content chunks containing relevant information
- Pages - Number of unique pages with mentions
Analysis Section
The analysis highlights:
- Key findings across all mentions
- Any inconsistencies or contradictions
- Recommendations for fixes
Pages with Mentions
Browse through each page that contains relevant content:
- Page pills - Click to switch between pages (badge shows mention count)
- Mention cards - Each chunk of content that matched your query
- Relevance score - How closely the mention matches your query
Query Tips
Good Queries
| Query | What It Finds |
|---|---|
years of experience |
All mentions of experience/history claims |
pricing |
Price mentions, costs, fees |
phone number |
Contact phone numbers |
money back guarantee |
Guarantee and refund policy mentions |
free shipping |
Shipping cost and policy mentions |
Query Refinement
By default, "Improve query with AI" is enabled. This helps by:
- Expanding your query to catch variations
- Adding semantic context
- Improving recall for fuzzy matches
Disable this for exact phrase matching.
Common Use Cases
1. Contact Information Audit
Search for email, phone, or address to ensure contact details are consistent across your site.
2. Claim Verification
Check that marketing claims ("best in class", "#1 rated") are used consistently and appropriately.
3. Policy Consistency
Verify that terms, conditions, guarantees, and policies match across all relevant pages.
4. Data Freshness
Search for years, dates, or statistics to find outdated information that needs updating.
Best Practices
- Start broad, then narrow - Begin with general terms, then refine based on results
- Check variations - Search for different phrasings of the same fact
- Review low-relevance matches - They might reveal unexpected inconsistencies
- Fix discrepancies promptly - Inconsistent information hurts trust