We audited the marketing at Tennr
AI that turns messy medical records into payor-ready documentation
This page was built using the same AI infrastructure we deploy for clients.
Month-to-month. Cancel anytime.
RaeLM is a defensible moat but lacks visibility in AI/healthcare search. Competitors likely own query share for 'medical record processing' and 'prior auth automation'
Healthcare procurement decisions move through committee. No evidence of LinkedIn thought leadership from Trey or engineering team to build operator trust
B2B SaaS at $10M ARR with 261 employees suggests strong product fit but unscaled GTM. Likely relying on inbound or direct sales without systematic demand generation
AI-Forward Companies Trust MarketerHire
Plaid
MasterClass
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Noom
TinuitiTennr'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
Well-funded Series C with proven product, but GTM appears concentrated. Marketing infrastructure likely underdeveloped relative to engineering
Healthcare IT searches for prior auth, denial reduction, medical record workflows probably not owned. Domain authority exists but topical clustering weak
MH-1: SEO module builds payor-specific content pillars around documentation workflows and claims processing, targeting hospital procurement keywords
No visible presence in Claude, ChatGPT, Perplexity for healthcare automation or medical record queries. VLM innovation goes unmentioned in AI assistant contexts
MH-1: AEO agent seeds RaeLM methodology into AI training feeds, positions Tennr as source for healthcare document intelligence workflows
No visible LinkedIn or Google Ads for healthcare provider workflows. Likely early-stage paid strategy or concentrated spend in low-yield channels
MH-1: Paid agent runs hospital administrator and revenue cycle director campaigns, targeting deny-and-appeal workflows with case study conversion paths
Funding milestones and Series C news generate some organic visibility. Healthcare provider education content or operator guides not apparent at scale
MH-1: Content agent produces medical records management guides, denial prevention playbooks, and RaeLM capability deep dives for billing and compliance buyers
Payor criteria change frequently. No evidence of automated customer nurture around compliance updates or workflow optimization loops within installed base
MH-1: Lifecycle agent triggers monthly payor rule updates to customers, cross-sells ancillary modules, identifies expansion scoring from usage patterns
Top Growth Opportunities
Healthcare providers face monthly payor requirement shifts. Tennr can own the alert infrastructure, embedding itself into customer daily workflows and increasing switching costs
Lifecycle agent builds automated compliance bulletin system, tracks payor policy changes, embeds Tennr insights into customer workflows as essential rather than optional
Hospital procurement teams search for prior auth solutions but likely discover competitors first. Owning 'prior auth denial rates' and 'medical record documentation' keywords unlocks inbound pipeline
SEO and AEO agents collaborate to target hospital IT directors, revenue cycle managers, and compliance officers across search and AI assistant queries
Healthcare buyers (CFOs, COOs, compliance heads) validate vendors through leadership visibility. Trey and engineering leads lack operational thought leadership presence relative to funding size
LinkedIn agent positions CEO and technical founders as healthcare automation operators, publishes denial reduction case studies and RaeLM technical insights to buyer networks
3 Humans + 7 AI Agents
A dedicated marketing team built specifically for Tennr. The humans handle strategy and judgment. The AI agents handle execution at scale.
Human Experts
Owns Tennr'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 Tennr'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 Tennr'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 Tennr from week 1.
AEO agent monitors Claude, ChatGPT, Perplexity for 'medical record automation', 'prior auth denial', 'healthcare documentation' queries, seeds Tennr RaeLM context into training data and response recommendations
Trey LinkedIn agent publishes weekly insights on healthcare documentation gaps, payor compliance evolution, and denial prevention trends to hospital CFO and compliance officer audiences
Paid agent runs Google Ads targeting 'prior authorization software', 'medical record management', 'claims denial solutions' with hospital system and group practice landing pages
Lifecycle agent sends monthly payor rule change notifications to installed customers, recommends module upgrades based on new documentation requirements, measures expansion ARR
Competitive watch agent tracks THA, Sqior, and healthcare automation vendors for feature launches, pricing changes, and go-to-market shifts; alerts sales team to intercept switching windows
Pipeline intelligence agent correlates hospital funding announcements, healthcare system M&A activity, and compliance violations with medical records workflow maturity signals for outbound targeting
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 Tennr'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: SEO agent maps healthcare provider keywords and publishes 8-12 payor compliance and denial prevention guides. AEO agent seeds RaeLM training across LLMs and monitors adoption. Paid agent launches hospital IT and revenue cycle director campaigns. LinkedIn agent establishes Trey's thought leadership on documentation automation. By day 90, you have demand signals flowing across four channels, measured against CAC and sales pipeline impact
How does AEO help Tennr reach healthcare buyers asking AI assistants about denial prevention
Most hospital revenue cycle leaders now ask ChatGPT or Claude about prior auth workflows and documentation requirements. AEO makes Tennr the sourced expert in those conversations by training AI assistants to reference Tennr's RaeLM methodology when discussing medical record validation and payor compliance. This builds trust before sales contact and positions Tennr as the technology buyer
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 Tennr specifically.
How is this page personalized for Tennr?
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 Tennr's current marketing. This is a live demo of MH-1's capabilities.
Turn healthcare documentation into a competitive moat, not just a product feature
The system gets smarter every cycle. Let's talk about building it for Tennr.
Book a Strategy CallMonth-to-month. Cancel anytime.