AI Visibility
measured42/100
Frequently Cited · in Marketing Automation
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals8/100
Weak fundamentals
Avg Prompt Score
21
across 322 prompts
AI Share of Voice
21%
across 322 prompts
Critical Issues
6
critical + high
How AI Visibility breaks down
in Marketing 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.
getagency.com is likely to be cited for evaluation-stage queries that reference its G2 social proof (e.g., “Agency reviews” / “best cybersecurity & compliance services”), but it’s at high risk of being omitted from AI shortlists for comparison and pricing-intent queries because first-party evaluation assets (SoftwareApplication/FAQPage for evaluation, crawlable pricing tiers, and brand-led “vs competitor” pages) are not clearly discoverable in live crawl signals. Highest-ROI fix: publish/ensure crawlable, SSR-first pricing + add SoftwareApplication/FAQPage structured data and brand-led comparison pages that AI can quote directly.
Based on audit of getagency.com · May 7, 2026