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ProductCitation IndexAI InfluenceBlogBook
[unCited]/Salesforce Sales Cloud
ProductCitation IndexAI InfluenceBlogBook

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AEO Score

78

Strong Presence

Avg Prompt Score

82

across 18 prompts

AI Share of Voice

100%

across 18 prompts

Critical Issues

3

critical + high

Brand Accuracy

1/54

citations with inaccuracies

Per-stage performance

🔍Discovery
no prompts at this stage
—
⚖️Evaluation
8 brand-level
Cited100%8/8
Share of voice100%avg
Engine consensus100%of engines
Competitors1.5avg/cited
Sentimentpositive15+ / 9~ / 0−
🛡️Trust
5 brand-level
Cited100%5/5
Share of voice100%avg
Engine consensus100%of engines
Competitors1.6avg/cited
Sentimentpositive3+ / 9~ / 0−
💰Conversion
5 brand-level
Cited100%5/5
Share of voice100%avg
Engine consensus100%of engines
Competitors1.4avg/cited
Sentimentneutral2+ / 10~ / 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.

Executive summary

Salesforce is highly likely to be cited by AI engines for evaluation and conversion queries because it has very large G2 review volume (e.g., 94,677 reviews on the Salesforce seller page) and strong secondary review/enterprise signals (e.g., Gartner Peer Insights vendor review pages and TrustRadius review pages). The single highest-ROI fix is to strengthen first-party, brand-led evaluation content for specific comparison/pricing intents (e.g., ensure every major “[Brand] vs [Competitor]” and pricing page has complete, crawlable structured data and consistent entity naming so AI can reuse it verbatim).

Based on audit of salesforce.com · May 31, 2026

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