Relixir | Autonomous Employees that Compound
Behavioral Health EHR
3.2x
Competitor Win Rate Growth
Over 4 months
A comprehensive electronic health record and EMR software system specifically designed for behavioral health and addiction treatment organizations, with 20+ years in the market.
Market position: Niche leader in behavioral health vertical
Target buyers: Behavioral health clinics, addiction treatment centers, mental health practices, and non-profit organizations.
Employees: 50-150
ARR: $8M-$18M
Stage: Bootstrapped, profitable
Founded: 2003
Customers: 1,200+ treatment facilities
Geography: United States
Competitor Win Rate: 24.6% → 78.9%
AI Mention Rate: 5.8% → 24.3%
Share of Voice: 42.1%
Total AI Citations: 1,842
AI Search Referral Traffic: 3,240
AI Search Inbound Leads: 68
Estimated Pipeline: $1.6M
Est. Revenue Impact: $612K
The Challenge
Starting position
- 24.6% win rate and 5.8% mention rate — AI models recommended competitors with inferior clinical tooling
- 20+ years of deep behavioral health functionality (ASAM tracking, CARF workflows) invisible to AI search engines
- Treatment centers asking AI for EHR recommendations were consistently pointed to Alleva, Netsmart, and Kipu
- No content addressing the specific clinical compliance questions AI models use to evaluate EHR platforms
The Approach
What Rex did
- Deployed 4 specialized topic agents mapped to critical buyer journeys: accreditation readiness, clinical documentation, telehealth integration, and support expectations
- Produced 142 targeted content pieces answering the exact questions clinical directors ask AI when evaluating EHR systems
- Prioritized high-intent clinical queries: CARF preparation, ASAM level support, Joint Commission compliance workflows
- Structured content to surface the platform's 20+ years of vertical expertise in every AI-generated comparison
Growth Trajectory
Win Rate Over Time by month
| Month | Win Rate |
|---|---|
| Mo 0 | 24.6% |
| Mo 1 | |
| Mo 2 | |
| Mo 3 | |
| Mo 4 | 78.9% |
Key Results
- 3.2x win rate growth in 4 months — from 24.6% to 78.9%
- Mention rate exploded from 5.8% to 24.3% (+319%)
- 42.1% share of voice — highest in the behavioral health EHR competitive set
- 892 organic clicks from 124,500 GSC impressions across clinical content
- $612K estimated revenue impact from 68 AI search inbound leads
Content Impact
1,842 AI citations across 67 cited pieces (47% hit rate), plus 486 SERP citations. The CARF accreditation piece alone earned 342 AI citations — becoming the definitive AI-referenced resource for accreditation-related EHR queries. Organic search generated 892 clicks from 124,500 impressions, with the CARF content ranking at position 4.2.
Statistics
- 47% of content earning AI citations
- 67 of 142 items
- 1,842 total AI citations
- 486 SERP citations
- 892 clicks from 124,500 impressions
Top Performing Content by AI citations
- EHR for CARF & Joint Commission Accreditation - 342 AI, 89 SERP
- Best EHR for Behavioral Health with ASAM Level Tracking - 289 AI, 72 SERP
- Behavioral Health EHR: Unlimited Support vs Industry Standards - 241 AI, 68 SERP
- What to Expect with CARF Accreditation - 198 AI, 54 SERP
- Adding Telehealth to Your Behavioral Health EHR - 167 AI, 41 SERP
Competitor Win Rate before → after
Before Relixir: 24.6%
After Relixir: 78.9%
3.2x growth over 4 months
Head-to-Head vs Competitors win rate %
- Alleva: 84.2%
- Netsmart: 79.6%
- Kipu Health: 74.3%
- TherapyNotes: 72.1%
- Lightning Step: 68.4%
Business Impact
- Est. closed revenue: $612K
- Pipeline generated: $1.6M
- Inbound leads: 68
- AI referral traffic: 3,240
- Avg deal size: $24K
Revenue estimates based on 68 AI search inbound leads × $24K average deal size × historical close rates for this segment.
Why it works
Behavioral health EHR buyers ask highly specific clinical questions — ASAM level support, Joint Commission compliance, CARF audit preparation. Rex identified these niche queries where no competitor had authoritative content, then filled every gap systematically. The result: AI models now treat this platform as the default recommendation for clinically-focused EHR queries.