AI Visibility
measured22/100
Emerging · in Workflow Automation
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals61/100
Some gaps
Avg Prompt Score
5
across 348 prompts
AI Share of Voice
5%
across 348 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in Workflow Automation
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.
Keragon is already highly citable for evaluation-stage and conversion-stage queries because it has strong G2 presence (28 reviews, 4.8★) and publicly crawlable pricing tiers (e.g., $149/mo, $399/mo, $1499/mo, plus custom Enterprise). The biggest AI-citation risk is structured-data eligibility: the site content is strong, but there is no evidence (from live checks) of SoftwareApplication/FAQPage/aggregateRating schema, which can limit Google AI Overviews and other LLM rich-result citations for queries like "How much does Keragon cost?" and "How does Keragon compare to Vim?"
Based on audit of keragon.com · Sep 30, 2026