AI Visibility
measured55/100
Frequently Cited · in Business Intelligence
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals68/100
Solid fundamentals
Avg Prompt Score
58
across 286 prompts
AI Share of Voice
58%
across 268 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in Business Intelligence
Composite = 60% coverage + 40% engine breadth, 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.
Sisense is highly likely to be cited for embedded business intelligence evaluation queries because it has strong G2 authority (1042 reviews, 4.2★ per your pre-verified context) and first-party comparison content like “Sisense vs Looker.” The single highest-ROI fix is to strengthen structured data (SoftwareApplication/FAQPage/ratings) and ensure it’s consistently present on evaluation and pricing surfaces so AI engines can confidently answer “How much does Sisense cost?” and “How does Sisense compare to Microsoft Power BI/Tableau/Qlik Sense?” with crawlable, schema-backed evidence.
Based on audit of sisense.com · Apr 2, 2026