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

78

Strong Presence

Avg Prompt Score

57

across 878 prompts

AI Share of Voice

59%

across 851 prompts

Critical Issues

3

critical + high

Per-stage performance

🔍Discovery
535 category
Cited73%390/535
Share of voice68%avg
Engine consensus56%of engines
Competitors5.7avg/cited
Sentiment—no data
⚖️Evaluation
20 brand-level
Cited0%0/20
Share of voice0%avg
Engine consensus—
Competitors—
Sentiment—no data
🛡️Trust
9 brand-level
Cited22%2/9
Share of voice11%avg
Engine consensus50%of engines
Competitors5.0avg/cited
Sentiment—no data
💰Conversion
10 brand-level
Cited30%3/10
Share of voice17%avg
Engine consensus56%of engines
Competitors5.0avg/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 Adp is visible in

3
  • Benefits Administration5 of 68→
  • HRIS8 of 60→
  • Applicant Trackingnot yet measured→

Executive summary

ADP is highly likely to be cited by AI engines for payroll evaluation queries because it has strong third-party review authority (G2 4.6★ with 4,720 reviews) and first-party comparison pages like “ADP vs. Paychex” and “ADP vs. Gusto.” The single highest-ROI fix is to strengthen AI-citable pricing and structured-data coverage (SoftwareApplication/FAQPage/Organization schema) so prompts like “How much does ADP cost?” and “What is the best payroll software?” can be answered with first-party, crawlable evidence rather than relying on third parties.

Based on audit of adp.com · Apr 2, 2026

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