AI Visibility
measured42/100
Frequently Cited · in Marketing Automation
measured from this brand's audit prompts
AEO Readiness
fundamentals47/100
Some gaps
Avg Prompt Score
4
across 319 prompts
AI Share of Voice
4%
across 319 prompts
Critical Issues
6
critical + high
How AI Visibility breaks down
in Marketing Automation
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.
GoodUnited has meaningful AI-citation inputs for evaluation and trust queries via its G2 presence (18 reviews, 4.6/5) and public pricing/results pages. The biggest blocker for AI engines in conversion/evaluation is missing/unclear first-party evaluation surfaces (notably no clearly indexed first-party “[GoodUnited] vs [Competitor]” pages found) and lack of verifiable structured data signals (SoftwareApplication/FAQPage/aggregateRating not found in search). Highest-ROI fix: publish crawlable, brand-led evaluation pages (e.g., “GoodUnited vs [top alternatives]” and “GoodUnited pricing” with explicit tiers) and add SoftwareApplication + FAQPage schema to those pages.
Based on audit of goodunited.io · Jun 4, 2026