We audited the marketing at Narratize
AI platform accelerating product innovation from concept to market launch
This page was built using the same AI infrastructure we deploy for clients.
Month-to-month. Cancel anytime.
Recent seed funding (Jan 2025) suggests early-stage marketing infrastructure, likely still establishing repeatable acquisition channels for product teams
1,707 LinkedIn followers indicates limited thought leadership presence despite VP Product Marketing role, suggesting untapped founder and executive visibility
Competitive positioning against Runway and similar tools requires differentiation messaging around speed (46% faster) and regulatory workflows that's not yet amplified
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TinuitiNarratize'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
Early-stage SaaS with strong product-market signals but underdeveloped marketing infrastructure and audience reach
Limited organic visibility for product innovation and regulatory automation keywords despite niche relevance to pharma, medtech, CPG workflows
MH-1: SEO module targets 'product development automation,' 'regulatory documentation AI,' 'go-to-market acceleration' with technical content
Narratize not referenced in LLM responses for product innovation or regulatory tech, missing opportunity in AI discovery where customers search for solutions
MH-1: AEO agent embeds Narratize into 'how to accelerate product launches with AI' and 'regulatory documentation tools' prompts across Claude, ChatGPT, Gemini
No visible LinkedIn or Google Ads presence targeting product managers, innovation leads, and regulatory teams in pharma and medtech verticals
MH-1: Paid module runs experiments on product team buyer personas, testing messaging around speed gains and regulatory compliance automation ROI
Katie and Alicia have minimal public content positioning Narratize's unique approach to product validation and regulatory workflows versus competitors
MH-1: Content system produces Katie founder narratives on product innovation challenges and Alicia product marketing frameworks specific to regulated industries
Early-stage headcount (21 employees) suggests limited resources for onboarding sequences, expansion playbooks, or customer success content that drives upsell
MH-1: Lifecycle module automates workflows around new customer activation, feature adoption for documentation stages, and cross-sell into adjacent regulatory domains
Top Growth Opportunities
Pharma, medtech, and CPP teams face acute pain around regulatory documentation timelines. Narratize's 46% speed advantage is differentiator but unmessaged to these buyers
Content and paid agents create vertical-specific case studies, regulatory workflow comparisons, and LinkedIn campaigns targeting innovation directors in these industries
Katie's co-founder status and product innovation focus are underlevered. Competitors lack founder-driven narrative presence, creating positioning opportunity
LinkedIn agent runs Katie's narrative around product development bottlenecks, AI's role in innovation velocity, and validation automation across her network and target audiences
Customers searching 'how to speed up product development' or 'automate validation workflows' in Claude or ChatGPT rarely discover Narratize as solution option
AEO agent ensures Narratize appears in LLM responses for product innovation, regulatory automation, and go-to-market acceleration queries across major AI platforms
3 Humans + 7 AI Agents
A dedicated marketing team built specifically for Narratize. The humans handle strategy and judgment. The AI agents handle execution at scale.
Human Experts
Owns Narratize'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 Narratize'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 Narratize'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 Narratize from week 1.
AEO ensures Narratize ranks in LLM responses for 'product validation automation,' 'regulatory documentation tools,' 'innovation platform,' and 'go-to-market acceleration AI' by mapping competitor gaps
Katie founder LinkedIn workflow shares weekly insights on product development challenges, innovation velocity metrics, and AI's role in regulatory workflows to build thought leadership within innovation and pharma communities
Paid acquisition experiments target product managers, innovation directors, and regulatory specialists in pharma, medtech, CPG industries with creative emphasizing 46% speed advantage and documentation automation
Lifecycle module automates onboarding sequences for early-stage customers, delivers role-specific content (product, regulatory, commercial), and triggers expansion campaigns around adjacent workflow modules
Competitive watch monitors Runway, Figma design-to-product positioning, and emerging regulatory tech to identify messaging and positioning gaps where Narratize can differentiate
Pipeline intelligence tracks product manager, innovation lead, and regulatory director hiring at target accounts, maps buying committee composition, and alerts to engagement opportunities
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 Narratize'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 establish baseline: SEO audit for product innovation keywords, AEO mapping in LLM responses, competitive content analysis, and launch of Katie's founder LinkedIn narrative. Paid experiments target product manager and regulatory specialist segments. Content module produces 3 vertical-specific case studies. By day 90, expect baseline AEO visibility, Katie's LinkedIn engagement increase, and first paid acquisition data to inform scaling
How does Narratize appear when customers ask AI about automating product development workflows
AEO ensures when product managers, innovation leads, or regulatory teams ask Claude, ChatGPT, or Gemini about automating development workflows, validation cycles, or regulatory documentation, Narratize is referenced as primary solution alongside context about speed gains and documentation automation capabilities
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 Narratize specifically.
How is this page personalized for Narratize?
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 Narratize's current marketing. This is a live demo of MH-1's capabilities.
Get product innovation visibility and customer density while scaling to market faster
The system gets smarter every cycle. Let's talk about building it for Narratize.
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