AI Visibility
measured25/100
Emerging · in Field Service & Workforce
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals46/100
Some gaps
Avg Prompt Score
12
across 439 prompts
AI Share of Voice
12%
across 439 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Field Service & Workforce
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.
Per-stage performance
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.
Categories BinaryNights is visible in
1Executive summary
binarynights.com is moderately likely to be cited by AI engines for evaluation queries because it has a G2 seller profile with 11 reviews and a 4.4/5 rating, plus first-party pricing and an FAQ/support section that can answer “pricing” and “how it works” questions. The biggest citation risk is conversion-stage evaluation queries that require first-party, crawlable comparison/evaluation surfaces (e.g., “[Brand] vs [Competitor]” pages) and machine-readable structured data (SoftwareApplication/FAQPage/ratings), which were not found in live checks.
Based on audit of binarynights.com · Oct 7, 2026