Detect drift
Find mismatched name, URL, and description variants before they spread.
Free entity tool
Scan your brand entity signals across schema, profiles, and knowledge graph-style references. Identify inconsistencies that weaken AI citation confidence and prioritize fixes in one pass.
Why this matters
AI models reward clear entity identity. Drift across schema and profiles can suppress mentions even if your content is strong.
The audit combines structured data detection, profile link coverage, directory corroboration, and consistency checks for names, descriptions, logos, contact info, and canonical URLs. The result is a 0-100 entity consistency score showing how reliably AI systems can map your brand to one trusted entity.
Find mismatched name, URL, and description variants before they spread.
Focus on the highest-impact corrections for entity stability.
Strengthen confidence signals that support AI mention coverage.
Texta adds continuous tracking for entity shifts, competitor brand presence, and citation impact so your team can respond before visibility loss compounds.
Build your AI visibility stack step-by-step: score your presence, track model citations, and identify entity inconsistencies before they affect brand demand.