AI Visibility
measured28/100
Emerging · in Commerce
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals50/100
Some gaps
Avg Prompt Score
9
across 173 prompts
AI Share of Voice
9%
across 173 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in Commerce
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.
MobiLoud is likely to be cited for evaluation-stage queries because it has a G2 seller profile with 15 reviews and a 4.9/5 rating. The biggest risk is conversion-stage and structured evaluation citation: the site shows first-party pricing and comparison pages, but no evidence was found (in crawlable HTML) of SoftwareApplication/FAQPage/AggregateRating structured data or llms.txt, which reduces AI engines’ ability to confidently answer pricing/integration evaluation prompts from first-party sources.
Based on audit of mobiloud.com · Sep 1, 2026