AI Visibility
measured72/100
Frequently Cited · in E-commerce Platforms
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals40/100
Some gaps
Avg Prompt Score
84
across 605 prompts
AI Share of Voice
84%
across 605 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in E-commerce Platforms
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.
BigCommerce is very likely to be cited by AI engines for evaluation-stage queries because it has strong third-party review authority (notably G2 and TrustRadius) and it publishes first-party comparison pages like “BigCommerce vs Shopify” and “BigCommerce vs WooCommerce.” The single highest-ROI fix is to strengthen Technical AEO for evaluation/cost queries by ensuring pricing + key evaluation pages are fully crawlable/SSR and backed by B2B-specific structured data (SoftwareApplication + FAQPage targeting pricing/integration/evaluation questions).
Based on audit of bigcommerce.com · May 6, 2026