AI Visibility
measured38/100
Emerging · in AI Recruiting
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals2/100
Weak fundamentals
Avg Prompt Score
7
across 373 prompts
AI Share of Voice
7%
across 373 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in AI Recruiting
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.
Fetcher.ai is a B2B recruiting/talent-sourcing SaaS with strong AI-citation inputs from G2 (28 reviews, 4.6/5) and Capterra (33 reviews, 4.6/5), plus Gartner Peer Insights presence (6 ratings). The biggest risk to appearing in evaluation-stage AI answers is missing/unclear first-party evaluation surfaces (notably brand-led comparison pages) and incomplete machine-readable discoverability (SoftwareApplication/FAQPage/llms.txt signals not confirmed). Highest-ROI fix: publish/ensure crawlable, brand-led “[Fetcher] vs [Competitor]” evaluation pages and add/verify B2B structured data (SoftwareApplication + FAQPage) on those pages and pricing.
Based on audit of fetcher.ai · Oct 7, 2026