We organize information about business websites from a variety of sources, including publicly available data and signals submitted during the verification process. This allows us to:
Associate websites with business entities
Understand relationships between domains and official brands
Maintain structured records that can be updated over time
Our systems focus on business context, not just general web content.

Search results are ranked using a combination of:
Relevance to the search query
Consistency of business information
Strength and clarity of verification signals
Ranking is not influenced by advertising or paid placement. No single signal determines ranking - multiple factors are considered together.

We evaluate trust using both automated systems and human review
Trust evaluation may include:
Domain and website ownership signals
Information provided by businesses during verification
Patterns commonly associated with impersonation or misleading behavior
In cases where automated signals are insufficient, manual review may be applied to improve accuracy.

Our systems are designed to identify patterns that may indicate:
Impersonation of a known brand
Unofficial or misleading domain usage
Inconsistent business representation
When such patterns are detected, we may display contextual warnings to help users better understand what they’re seeing.
We do not block access or remove websites.

Search systems are regularly reviewed and updated to:
Improve accuracy and clarity
Reduce false positives
Reflect changes in business information over time
Verification status and trust signals may change as new information becomes available.

Summary
Our search organizes business information, ranks results using relevance and trust signals, and highlights context when legitimacy may be unclear, helping users navigate business search with greater confidence.