[unCited]
ProductCitation IndexAI InfluenceBlogBook
[unCited]/Opera PMS (Oracle Hospitality)
ProductCitation IndexAI InfluenceBlogBook
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AEO Score

66

Strong Presence

Avg Prompt Score

6

across 89 prompts

AI Share of Voice

9%

across 89 prompts

Critical Issues

4

critical + high

Per-stage performance

🔍Discovery
76 brand-level
Cited0%0/76
Share of voice0%avg
Engine consensus—
Competitors—
Sentiment—no data
⚖️Evaluation
8 brand-level
Cited75%6/8
Share of voice71%avg
Engine consensus94%of engines
Competitors2.5avg/cited
Sentimentneutral2+ / 15~ / 0−
🛡️Trust
3 brand-level
Cited33%1/3
Share of voice33%avg
Engine consensus100%of engines
Competitors5.0avg/cited
Sentimentpositive1+ / 2~ / 0−
💰Conversion
2 brand-level
Cited50%1/2
Share of voice50%avg
Engine consensus100%of engines
Competitors0.0avg/cited
Sentimentneutral0+ / 3~ / 0−

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 Opera PMS (Oracle Hospitality) is visible in

1
  • Hospitality & Restaurantsnot yet measured→

Executive summary

oracle.com is highly likely to be cited by AI engines for evaluation and conversion queries because it has first-party, crawlable pricing and multiple first-party comparison pages against AWS, Azure, and Google Cloud (e.g., OCI pricing and OCI vs AWS/Azure/GCP). The single highest-ROI fix is to strengthen structured-data coverage for B2B evaluation queries (SoftwareApplication/FAQPage) and ensure those pages are consistently crawlable/SSR so AI engines can reliably extract “how much does Oracle cost?” and “how does Oracle compare…” answers.

Based on audit of oracle.com · May 4, 2026

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