AI Visibility
measured22/100
Emerging · in Project Management
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals1/100
Weak fundamentals
Avg Prompt Score
4
across 313 prompts
AI Share of Voice
2%
across 297 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Project 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.
meetcampfire.com is a B2B AI-native ERP for finance/accounting teams, and it has meaningful third-party credibility via G2 (Campfire shows 42 reviews on G2). The biggest AI-citation risk is evaluation-stage queries that require first-party, crawlable comparison/pricing evidence (e.g., "Campfire vs X" and "Campfire pricing"); the highest-ROI fix is to publish SSR-indexable evaluation pages (brand-led comparisons + a public tiered pricing page) and add B2B SoftwareApplication/FAQ structured data so AI engines can cite them.
Based on audit of meetcampfire.com · Aug 30, 2026