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ProductCitation IndexAI InfluenceBlogBook
[unCited]/PingIntelligence for APIs
ProductCitation IndexAI InfluenceBlogBook
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AEO Score

68

Strong Presence

Avg Prompt Score

12

across 98 prompts

AI Share of Voice

1%

across 82 prompts

Critical Issues

3

critical + high

Per-stage performance

🔍Discovery
81 brand-level
Cited0%0/81
Share of voice0%avg
Engine consensus—
Competitors—
Sentiment—no data
⚖️Evaluation
8 brand-level
Cited100%8/8
Share of voice100%avg
Engine consensus—
Competitors1.9avg/cited
Sentiment—no data
🛡️Trust
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus—
Competitors1.0avg/cited
Sentiment—no data
💰Conversion
4 brand-level
Cited75%3/4
Share of voice75%avg
Engine consensus—
Competitors1.7avg/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 PingIntelligence for APIs is visible in

1
  • Identity Providernot yet measured→

Executive summary

Ping Identity is highly likely to be cited by AI engines for evaluation-stage IAM/IAM-adjacent queries because it has strong third-party review authority (e.g., 106 G2 reviews with a 4.4/5 rating) and clear analyst/enterprise signals (Gartner Peer Insights profile exists). The single highest-ROI fix is to strengthen first-party evaluation surfaces for AI (especially SoftwareApplication/FAQPage coverage and crawlable comparison/pricing evaluation blocks) so brand-aware queries like “Ping Identity vs Okta” and “Ping Identity pricing” can be answered from pingidentity.com rather than only from third parties.

Based on audit of pingidentity.com · May 5, 2026

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