AI Visibility
measured34/100
Emerging · in Real Estate & Property Management
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals2/100
Weak fundamentals
Avg Prompt Score
7
across 345 prompts
AI Share of Voice
7%
across 345 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Real Estate & Property Management
Composite = 50% coverage + 30% engine breadth + 20% position, measured in the brand's strongest category. Position and citation depth join the score once the aggregation pipeline captures them. This is the measured Visibility score — separate from AEO Readiness, which scores fundamentals.
Cited rate · share of voice · engine consensus · sentiment, broken out by buyer-journey stage. Sentiment is the net positive−negative skew across engines that cited the brand at this stage.
Propertybase is a B2B real-estate CRM (Salesforce-powered) and already has strong AI-citation inputs via Salesforce AppExchange presence and a public, specific starting price ($89/user/month) plus a meaningful LinkedIn footprint (4,674 followers). The biggest AI citation risk is evaluation-stage “brand vs competitor” coverage and first-party structured extraction: the domain appears to lack crawlable first-party comparison pages and likely lacks SoftwareApplication/FAQPage structured data for evaluation queries, which reduces likelihood of being cited in shortlist-style answers.
Based on audit of propertybase.com · Aug 30, 2026