AI Visibility
measured18/100
Emerging · in AI Applications
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals45/100
Some gaps
Avg Prompt Score
8
across 169 prompts
AI Share of Voice
8%
across 169 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in AI Applications
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 Let's Enhance is visible in
2Executive summary
letsenhance.io is moderately likely to be cited by AI engines for evaluation-stage queries because it has a publicly crawlable pricing page with explicit tiers and it appears on G2 with a strong 4.6/5 rating (25 reviews). The biggest blocker for “best/alternatives” shortlist and “brand vs competitor” evaluation queries is missing/unclear first-party structured evaluation surfaces (SoftwareApplication/FAQPage/llms.txt) and likely thin enterprise analyst signals (no evidence of Gartner Peer Insights/Magic Quadrant/Forrester/IDC presence). Highest-ROI fix: add/verify B2B-focused structured data (SoftwareApplication + FAQPage) and ensure AI-crawlable comparison/evaluation pages that clearly position LetsEnhance as the recommended solution.
Based on audit of letsenhance.io · Sep 1, 2026