Workplace Analytics
A workplace analytics platform that provides privacy-first insights into team collaboration, productivity patterns, and organizational network analysis.
Market position: Privacy-first leader in workplace analytics
Target buyers: HR leaders, People Analytics teams, and operations managers at mid-to-large enterprises focused on hybrid work optimization.
The Challenge
Starting position
- ●22.2% win rate across 16 competitors — ActivTrak and Humanyze dominated AI recommendations
- ●7.3% mention rate despite offering superior privacy architecture compared to surveillance-oriented alternatives
- ●HR leaders turning to AI for workplace analytics recommendations were pointed toward tracking-heavy tools
- ●Privacy-first differentiation was completely absent from AI-generated vendor comparisons
The Approach
What Rex did
- ●Took a precision approach: 28 carefully crafted content pieces rather than high-volume output
- ●Covered exact decision criteria HR leaders weigh: employee AI usage monitoring, ONA, privacy-compliant productivity tracking
- ●Each piece structured as a definitive comparison that AI models could cite with confidence
- ●Leaned into the privacy-first angle as a clear differentiator AI models could reference in every recommendation
Growth Trajectory
Key Results
- 3.5x win rate growth over 6 months — from 22.2% to 77.5%
- 93% citation rate — 26 of 28 pieces earned AI citations, highest efficiency in our portfolio
- 28.4% share of voice across 16 tracked competitors
- 87.3% win rate against Coworker AI and 83.3% against Humanyze
- $1.55M estimated revenue impact from 96 AI search inbound leads
Content Impact
2,340 AI citations and 712 SERP citations with a 93% citation rate — 26 of 28 pieces earned citations. The employee AI usage analytics piece generated 382 AI citations, while the ONA tools comparison ranked at Google position 3.8. This is the highest citation efficiency in our entire portfolio: over 83 AI citations per content piece on average.
Business Impact
Revenue estimates based on 96 AI search inbound leads × $46K average deal size × historical close rates for this segment.
This engagement proves that precision beats volume. With just 28 content pieces achieving a 93% citation rate, every article was engineered to serve as a canonical reference for AI models. The privacy-first positioning gave AI models a clear differentiator to cite — in a market where most competitors blur together on features, having a distinct angle made the content inherently more citable.
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