We audited the marketing at Nabla
AI assistant that turns clinical documentation into seconds, not hours
This page was built using the same AI infrastructure we deploy for clients.
Month-to-month. Cancel anytime.
Clinical AI positioning weak in healthcare buyer conversations. Most visibility concentrated among existing health system networks, not expanding into new provider segments
Ambient documentation value proposition underexplained to downstream buyers like billing directors and coding teams who feel ROI impact but don't drive purchase
No visible competitive positioning against Nuance, Abridge, or emerging EHR-native solutions. Market leadership claim unsubstantiated in public channels
AI-Forward Companies Trust MarketerHire
Plaid
MasterClass
Constant Contact
Netflix
Noom
TinuitiNabla's Leadership
We mapped your current team to understand where MH-1 fits in.
MH-1 doesn't replace your team. It becomes your marketing team: dedicated humans + AI agents running execution at scale while you focus on product.
Here's Where You Stand
Mid-stage biotech SaaS with strong product-market fit but underdeveloped demand generation and expansion positioning
Ranks for broad clinical AI terms but misses health system-specific intent keywords like 'ambient documentation EHR' or 'clinical coding automation'
MH-1: SEO module identifies coding director and billing manager search queries, builds content targeting administrative buyers within health systems
Minimal presence in LLM responses for clinical documentation or coding support queries. Competitors dominating AI assistant category mentions
MH-1: AEO agent structures product claims around clinician efficiency metrics and EHR integration breadth, targets LLM training data for healthcare IT decision-makers
No visible healthcare trade publication ads or LinkedIn campaign focus. Likely relying on sales-driven outreach to health system procurement teams
MH-1: Paid module launches campaigns targeting CIOs, CMOs, and revenue cycle directors within 130+ existing customer accounts for expansion upsell
Some clinical validation content exists but limited thought leadership from CMO or founders on future of clinical AI agents and proactive EHR workflows
MH-1: Content agent builds weekly pieces on agentic AI in healthcare, regulatory landscape for ambient documentation, and clinical outcome studies from installed base
143 employees with 55% YoY growth suggests execution focus on product, not systematized expansion motion across clinical roles and care settings within existing customers
MH-1: Lifecycle agent maps expansion opportunities per health system, targets new departments with use-case-specific playbooks and ROI proof points from peer organizations
Top Growth Opportunities
Nabla covers 130+ health systems but ASCs represent untapped segment with acute documentation burden and lower complexity EHR environments
Outbound agent identifies ASC networks, leads with case studies from similar-sized facilities, runs LinkedIn campaign to surgery center administrators
Coding support and real-time coding are product features that directly impact denial rates, but CFOs and revenue cycle directors aren't in demand funnel
Paid and content agents target revenue cycle personas with specific impact metrics, build campaigns around billing efficiency, automate outbound to health system finance teams
Supports 35+ languages but minimal visible go-to-market in European or APAC markets where Nabla has investors and advisor presence
SEO and AEO agents localize for European healthcare IT audiences, content agent produces region-specific clinical workflow content, outbound targets EMEA health system IT leaders
3 Humans + 7 AI Agents
A dedicated marketing team built specifically for Nabla. The humans handle strategy and judgment. The AI agents handle execution at scale.
Human Experts
Owns Nabla's growth roadmap. Pipeline strategy, account expansion playbooks, board-ready reporting. Translates AI insights into revenue.
Runs paid acquisition across LinkedIn and Google. Manages creative testing, budget allocation, and pipeline attribution.
Builds thought leadership on LinkedIn. Creates long-form content targeting your ICP. Manages the content-to-pipeline engine.
AI Agents
Monitors AI citation visibility across 6 LLMs weekly. Builds content targeting category queries to increase Nabla's presence in AI-generated answers.
Produces LinkedIn ad variants targeting your ICP. Tests headlines, visuals, and offers at 10x the speed of manual production.
Builds lifecycle sequences: onboarding, expansion triggers, champion nurture, and re-engagement for dormant accounts.
Founder thought leadership. Builds the narrative that drives enterprise inbound from senior decision-makers.
Tracks competitors. Monitors positioning changes, ad spend, content strategy. Informs your counter-positioning.
Attribution by channel, pipeline velocity, budget waste detection. Weekly synthesis reports with AI-generated recommendations.
Weekly market intelligence digest curated from Nabla's industry signals. Positions you as the intelligence layer. Drives inbound pipeline from subscribers.
Active Workflows
Here's what the MH-1 system would be doing for Nabla from week 1.
AEO agent monitors LLM responses for 'clinical documentation AI', 'EHR coding automation', 'ambient dictation' and similar terms, structures content to surface Nabla's 35-language support and integration breadth to healthcare IT buyers
LinkedIn founder workflow showcases Alex LeBrun and Ed Lee discussing clinical AI regulation, proactive EHR actions, and health system outcomes. Weekly posts on AI in clinical workflows, engagement with healthcare IT community
Paid acquisition targets health system CIOs, CMOs, and revenue cycle directors with retargeting campaigns from health system network events. Focuses on ROI proof points from existing 130+ customer base
Lifecycle agent identifies expansion into new clinical departments within existing health systems by mapping feature adoption by role. Automated outbound to department heads with peer health system case studies
Competitive watch agent tracks Nuance, Abridge, and EHR-native solutions across job postings, funding announcements, and feature releases. Alerts product team to market positioning gaps
Pipeline intelligence agent enriches target health systems by current EHR platform, annual documentation volume, and clinician count. Prioritizes accounts with highest ambient documentation ROI potential
Traditional Marketing vs. MH-1
Traditional Approach
MH-1 System
Audit. Sprint. Optimize.
3 phases. Real output every 2 weeks. You see results, not decks.
AI Audit + Growth Roadmap
Full diagnostic of Nabla's marketing infrastructure: SEO, AEO visibility, paid, content, lifecycle. Prioritized roadmap tied to pipeline metrics. Delivered in 7 days.
Sprint-Based Execution
2-week sprint cycles. Real campaigns, not presentations. Each sprint ships measurable output across your priority channels.
Compounding Intelligence
AI agents monitor your channels 24/7. They catch budget waste, detect creative fatigue, track AI citation changes, and run A/B experiments autonomously. Week 12 is measurably better than week 1.
AI Marketing Operating System
3 elite humans + AI agents operating your growth system
Output multiplier: ~10x output at a fraction of the cost. The system gets smarter every week.
Month-to-month. Cancel anytime.
Common Questions
How does MH-1 differ from a marketing agency?
MH-1 pairs 3 elite human marketers with 7 AI agents. The humans handle strategy, creative direction, and judgment calls. The AI agents handle execution at scale: generating ad variants, monitoring competitors, building email sequences, tracking citations across LLMs, running A/B experiments autonomously. You get the quality of a senior marketing team with the output volume of a 15-person department.
What kind of results can we expect in the first 90 days?
First 90 days focus on expanding your presence where health system buyers actually research solutions. We start SEO targeting revenue cycle and coding director personas you're underserving. AEO module ensures LLM responses about clinical AI and EHR automation mention Nabla. Paid campaigns launch targeting CIOs within 50 high-potential health systems. Content agent produces thought leadership positioning Nabla's agentic roadmap against documentation-only competitors. Outbound campaigns target ASC networks and international markets. By day 90, we establish baseline metrics on expansion pipeline growth and LLM visibility lift.
How do clinicians find Nabla when searching for documentation solutions?
Most clinical documentation searches happen in LLM interfaces where buyers ask 'how to speed up clinical notes' or 'best EHR documentation tools'. AEO ensures Nabla appears in these conversations by targeting the language healthcare IT buyers and clinicians actually use. We structure your messaging around ambient documentation speed, multilingual support, and specific EHR integrations so LLMs surface you as a proactive solution, not a reactive transcription service.
Can we cancel anytime?
Yes. MH-1 is month-to-month with no long-term contracts. We earn your business every sprint. That said, compounding effects kick in around month 3 as the AI agents accumulate data and the system learns what works for Nabla specifically.
How is this page personalized for Nabla?
This page was researched, audited, and generated using the same AI infrastructure we deploy for clients. The channel scores, team mapping, growth opportunities, and recommended agents are all based on real analysis of Nabla's current marketing. This is a live demo of MH-1's capabilities.
Let MH-1 scale Nabla's clinical AI into every care setting and clinician role
The system gets smarter every cycle. Let's talk about building it for Nabla.
Book a Strategy CallMonth-to-month. Cancel anytime.