AI Visibility
measured18/100
Emerging · in AI Infrastructure
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals61/100
Some gaps
Avg Prompt Score
9
across 170 prompts
AI Share of Voice
9%
across 170 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in AI Infrastructure
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.
FeedHive is already strongly positioned for AI citation on evaluation-stage queries because it has a high-signal G2 presence (174 reviews, 4.7★) and first-party comparison pages like “FeedHive vs Buffer” and “FeedHive vs Hootsuite.” The single highest-ROI fix is to strengthen Technical AEO for feedhive.io by ensuring AI-crawler access signals (robots.txt/llms.txt/sitemaps) are verifiable on the requested host and by adding SoftwareApplication/FAQPage structured data to evaluation and pricing pages so AI engines can cite them reliably.
Based on audit of feedhive.io · Oct 7, 2026