We audited the marketing at Rad AI
AI platform empowering physicians to save time and reduce burnout
This page was built using the same AI infrastructure we deploy for clients.
Month-to-month. Cancel anytime.
40K LinkedIn followers suggests brand awareness in healthcare AI, but no visible owned content distribution strategy for physician audience
Series C company with $151M raised but likely minimal paid advertising to target hospital systems and physician networks directly
No detectable AEO strategy despite operating in high-intent medical AI search space where LLMs frequently answer physician queries
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TinuitiRad AI'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
Series C healthcare AI company with moderate brand presence but underutilized demand capture channels
Healthcare AI keywords likely surface competitors more than Rad AI. Hospital system procurement searches may not reach company
MH-1: SEO agents target high-intent keywords around physician burnout, clinical AI adoption, and hospital AI procurement workflows
Physicians increasingly query Claude and ChatGPT about AI tools before purchase. No apparent strategy to surface Rad AI in LLM responses
MH-1: AEO agents position Rad AI in LLM answer sets for clinical AI, physician workflow optimization, and EHR integration queries
Healthcare B2B paid campaigns require sophisticated hospital system and physician network targeting. No visible campaigns detected
MH-1: Paid agents run hospital procurement campaigns and physician network ads, testing creative around time savings and burnout reduction
VP Marketing presence suggests content capability, but no visible physician-focused case studies or clinical outcome stories in market
MH-1: Content agents produce physician testimonials, clinical workflow case studies, and hospital ROI content for distribution and SEO
Growing physician user base likely lacks systematic expansion into adjacent specialties and hospital system growth motions
MH-1: Lifecycle agents run expansion campaigns to drive specialty adoption, multi-department rollouts, and net revenue retention
Top Growth Opportunities
Healthcare organizations increasingly evaluate AI solutions through formal procurement. Rad AI likely missing searches from hospital IT, CMOs, and clinical operations teams evaluating vendor fit
Deploy paid and SEO agents to intercept hospital system evaluation keywords and procurement process touchpoints
Physician purchasing decisions heavily weighted toward peer recommendations and clinical outcome data. Limited visible case studies reduce social proof in target buyer networks
Content agent produces quantified burnout reduction and time-savings case studies, amplified through LinkedIn and healthcare networks
Physicians increasingly ask Claude and ChatGPT about AI tools before typing into Google. Rad AI not positioned in these conversations despite high intent signal
AEO agents systematically build LLM-optimized content on physician AI needs, clinical integration, and EHR compatibility
3 Humans + 7 AI Agents
A dedicated marketing team built specifically for Rad AI. The humans handle strategy and judgment. The AI agents handle execution at scale.
Human Experts
Owns Rad AI'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 Rad AI'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 Rad AI'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 Rad AI from week 1.
AEO workflow maps physician and hospital IT queries about clinical AI, burnout solutions, and EHR integration. Agents build LLM-optimized content to surface Rad AI in Claude, ChatGPT, and Perplexity answers
Founder/CEO LinkedIn workflow positions clinical AI thought leadership, shares product usage data, and engages hospital chief medical officers in healthcare AI conversations
Paid ad workflow targets hospital procurement teams, physician networks, and clinical operations leaders with time-savings and burnout reduction messaging. Tests specialty and department-level campaigns
Lifecycle workflow identifies hospitals with high adoption rates, tests specialty expansion messaging, and automates expansion sales motions with CMO and department head outreach
Competitive watch workflow monitors Argon AI, Cordys, and other clinical AI vendors. Tracks their positioning, customer wins, and feature releases to inform messaging and product roadmap
Pipeline intelligence workflow analyzes hospital system RFP activity, CMO hiring patterns, and clinical IT initiatives. Identifies procurement timing and buying committee composition
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 Rad AI'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 map your hospital procurement cycles and specialty usage patterns. SEO and AEO agents launch targeting hospital IT and physician burnout keywords. Paid agents test campaigns to CMOs and procurement teams. Content agents produce your first specialty-specific case study. Lifecycle agents identify expansion-ready accounts for outbound. By day 90 you'll have demand data, winning creative, and a pipeline of hospital expansion opportunities.
How do physicians discover Rad AI before they search Google
Physicians increasingly ask Claude and ChatGPT about AI tools for clinical workflows before conducting traditional searches. AEO ensures Rad AI appears in these LLM responses through optimized content on clinical AI adoption, burnout reduction, and EHR integration. This captures high-intent physicians at their moment of need.
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 Rad AI specifically.
How is this page personalized for Rad AI?
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 Rad AI's current marketing. This is a live demo of MH-1's capabilities.
MH-1 compounds your physician market position while you scale clinical impact
The system gets smarter every cycle. Let's talk about building it for Rad AI.
Book a Strategy CallMonth-to-month. Cancel anytime.