[unCited]
ProductCitation IndexAI InfluenceBlogBook
[unCited]/Dialpad
ProductCitation IndexAI InfluenceBlogBook
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AEO Score

63

Growing Presence

Avg Prompt Score

45

across 628 prompts

AI Share of Voice

45%

across 608 prompts

Category Visibility

#12

in Contact Center · of 72

Critical Issues

4

critical + high

Per-stage performance

🔍Discovery
381 category
Cited58%222/381
Share of voice54%avg
Engine consensus45%of engines
Competitors4.3avg/cited
Sentiment—no data
⚖️Evaluation
15 brand-level
Cited87%13/15
Share of voice87%avg
Engine consensus100%of engines
Competitors1.3avg/cited
Sentiment—no data
🛡️Trust
4 brand-level
Cited75%3/4
Share of voice75%avg
Engine consensus—
Competitors0.0avg/cited
Sentiment—no data
💰Conversion
6 brand-level
Cited67%4/6
Share of voice67%avg
Engine consensus100%of engines
Competitors2.5avg/cited
Sentiment—no data

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

3
  • Contact Center12 of 72→
  • Video Conferencing21 of 58→
  • Team Messagingnot yet measured→

Executive 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

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