AI Visibility
measured21/100
Emerging · in AI Coding
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals3/100
Weak fundamentals
Avg Prompt Score
19
across 292 prompts
AI Share of Voice
19%
across 292 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in AI Coding
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.
Lovable is already strongly positioned for AI app builder evaluation queries because it has a high-citation G2 presence (280 reviews, 4.6★) and a crawlable, tiered pricing page ($25 Pro / $50 Business). The biggest AI-citation risk is missing/unclear first-party structured evaluation surfaces (SoftwareApplication/AggregateRating) and potentially incomplete crawlability signals for AI bots (robots/llms.txt verification), which can reduce eligibility for “best/alternatives” and “how much does it cost” answers.
Based on audit of lovable.dev · Jun 5, 2026