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

58

Growing Presence

Avg Prompt Score

4

across 215 prompts

AI Share of Voice

3%

across 192 prompts

Critical Issues

4

critical + high

Per-stage performance

🔍Discovery
128 category
Cited0%0/128
Share of voice0%avg
Engine consensus—
Competitors—
Sentiment—no data
⚖️Evaluation
16 brand-level
Cited44%7/16
Share of voice44%avg
Engine consensus100%of engines
Competitors3.1avg/cited
Sentiment—no data
🛡️Trust
6 brand-level
Cited33%2/6
Share of voice33%avg
Engine consensus100%of engines
Competitors2.5avg/cited
Sentiment—no data
💰Conversion
7 brand-level
Cited29%2/7
Share of voice29%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 Superoffice is visible in

1
  • CRMnot yet measured→

Executive summary

SuperOffice is strongly positioned for AI citation on evaluation-stage prompts because it has a large G2 presence (154 reviews, 4.4★) and has crawlable, transparent pricing with tiered per-user/month amounts. The biggest citation risk is missing/unclear structured data (SoftwareApplication/FAQPage) and lack of first-party, explicitly indexed “[Brand] vs Salesforce/HubSpot” pages that are clearly designed as evaluation comparison surfaces (the HubSpot comparison exists, but broader competitor-specific coverage and schema support appear thin). Highest-ROI fix: implement SoftwareApplication + FAQPage schema across product/pricing/comparison pages and expand first-party comparison pages that directly target “How does SuperOffice compare to Salesforce?” and “How does SuperOffice compare to HubSpot?” with self-contained answer blocks.

Based on audit of superoffice.com · Apr 1, 2026

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