AI Visibility
measured48/100
Frequently Cited · in Contact Center
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals63/100
Some gaps
Avg Prompt Score
45
across 628 prompts
AI Share of Voice
45%
across 608 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Contact Center
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 Dialpad is visible in
3Executive summary
Dialpad is highly likely to be cited for evaluation-stage queries because it has strong G2 presence (multiple products with thousands of reviews) and publicly crawlable pricing with clear tiers. The biggest citation risk is structured-data/technical AEO gaps (e.g., SoftwareApplication/FAQPage/AggregateRating not confirmed via search) and the lack of clearly indexed first-party “[Dialpad] vs [Competitor]” pages for the most common competitor pairs (AI engines may rely on third-party comparisons instead). Highest-ROI fix: ensure SoftwareApplication + FAQPage + pricing Product/Offer schema are present and crawlable across product/pricing pages, then expand/standardize first-party comparison pages for top competitor pairs.
Based on audit of dialpad.com · Apr 1, 2026