AI Visibility
measured34/100
Emerging · in Real Estate & Property Management
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals56/100
Some gaps
Avg Prompt Score
9
across 554 prompts
AI Share of Voice
9%
across 554 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.
Knock.app is likely to be cited by AI engines for evaluation-stage queries because it has a meaningful G2 presence (147 reviews on G2) and publicly documented pricing/plan structure via its docs. The biggest risk is conversion-stage citation for “Knock pricing” and evaluation-stage “Knock vs competitor” queries if first-party comparison pages and B2B structured data (SoftwareApplication/FAQPage) are missing or not crawlable.
Based on audit of knock.app · Aug 30, 2026