AI Visibility
measured43/100
Frequently Cited · in Help Desk
measured from this brand's audit prompts
AEO Readiness
fundamentals55/100
Some gaps
Avg Prompt Score
7
across 298 prompts
AI Share of Voice
7%
across 298 prompts
Critical Issues
2
critical + high
How AI Visibility breaks down
in Help Desk
Composite = 50% coverage + 30% engine breadth + 20% position, measured across this brand's own audit prompts (it isn't in a tracked category rollup yet). 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.
EverHelp is already meaningfully cited for evaluation-stage queries via G2 (EverHelp product page exists and shows active reviews), and its site has crawlable, tiered pricing plus multiple case studies with quantified outcomes. The biggest AI-citation risk is conversion-stage and evaluation-stage “pricing/plan” and “SoftwareApplication-style product” extraction: the site shows pricing, but there’s no evidence (from live checks) of SoftwareApplication/FAQPage structured data, and first-party comparison coverage exists but may not be consistently indexed for the exact “EverHelp vs X” evaluation patterns buyers ask.
Based on audit of ever-help.com · Jun 9, 2026