AI Visibility
measured18/100
Emerging · in AI Applications
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals60/100
Some gaps
Avg Prompt Score
10
across 172 prompts
AI Share of Voice
10%
across 172 prompts
Critical Issues
2
critical + high
How AI Visibility breaks down
in AI Applications
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.
Per-stage performance
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.
Categories Pablo is visible in
1Executive summary
Buffer is highly likely to be cited by AI engines for evaluation-stage queries because it has strong third-party review authority (G2: 1,088 reviews, 4.3/5) and a crawlable, tiered pricing page with explicit per-channel pricing. The single highest-ROI fix is to add/verify B2B-focused structured data (SoftwareApplication/FAQPage/aggregateRating) and ensure AI-crawler visibility for key evaluation pages, since structured-data signals were not discoverable via search and robots.txt is permissive but does not explicitly mention AI crawler user-agents.
Based on audit of bufferapp.com · Oct 2, 2026