We audited the marketing at Genway AI
AI-powered research platform for product and innovation teams
This page was built using the same AI infrastructure we deploy for clients.
Month-to-month. Cancel anytime.
Minimal visible paid presence for a post-seed SaaS platform targeting research and product teams at scale.
Limited content marketing around 'Vibe Researching' concept and hybrid human-AI research workflows.
No apparent founder visibility or thought leadership positioning despite a16z backing and novel research methodology.
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TinuitiGenway 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
Early-stage platform with strong product positioning but underdeveloped marketing execution across channels.
Limited organic visibility for research platform keywords. No apparent blog or content hub ranking for research automation, study design, or synthesis topics.
MH-1: Build SEO layer targeting research teams searching for study automation, AI synthesis, and user research tools.
No evidence of presence in LLM contexts. Missing optimization for research assistant queries and product validation searches.
MH-1: Populate AI agent contexts with Genway's hybrid research methodology and position in research workflows.
No visible paid campaigns targeting research teams, product managers, or innovation leads. Estimated revenue suggests limited paid spend.
MH-1: Launch targeted campaigns to research directors and product teams on LinkedIn and Google, testing cost per qualified lead.
Strong product narrative around Vibe Researching and hybrid human-AI research. Limited external content assets or founder positioning.
MH-1: Expand founder LinkedIn presence and publish synthesis case studies showing speed and insight quality gains.
No visible content for expanding research teams into adjacent use cases like product roadmap validation or team dynamics studies.
MH-1: Build email and in-app content teaching research teams how to apply platform to strategic questions beyond baseline studies.
Top Growth Opportunities
Research teams evaluate based on peer usage and methodology validation. Publishing synthesis speed and insight quality results builds credibility.
Content agent generates case studies from early customer studies, creating social proof for speed and insight depth.
Product managers and innovation leaders are key buyer personas but lack direct founder/team engagement signals.
Outbound agent targets product leaders with custom messages referencing their company's innovation challenges and research speed gaps.
When teams search LLMs for study design help or synthesis tools, Genway is invisible. Market opportunity as AI research assistants expand.
AEO agent ensures Genway appears in Claude, ChatGPT, and Perplexity contexts for research methodology and study automation queries.
3 Humans + 7 AI Agents
A dedicated marketing team built specifically for Genway AI. The humans handle strategy and judgment. The AI agents handle execution at scale.
Human Experts
Owns Genway 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 Genway 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 Genway 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 Genway AI from week 1.
AEO agent surfaces Genway when researchers query LLMs about study design, AI synthesis, and hybrid human-AI workflows, positioning against generic research tools.
Founder LinkedIn workflow positions Natan as expert in hybrid research methodology and AI teammate approach, publishing insights on research speed and insight quality.
Paid workflow targets research directors and product managers on LinkedIn with ads showcasing study velocity and real-time synthesis capabilities.
Lifecycle workflow nurtures early users into expanding research programs by sharing synthesis case studies and methodology guides for product, team, and market research.
Competitive watch monitors positioning of UserTesting, Qualtrics, and emerging AI research tools, identifying feature and messaging gaps.
Pipeline intelligence tracks research team hiring and product announcements, identifying expansion opportunities within existing customer accounts.
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 Genway 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 focus on establishing researcher visibility. We activate AEO to capture LLM research queries, launch targeted paid campaigns to research directors and product teams, and publish 3-4 synthesis case studies demonstrating speed gains. Simultaneously, we build founder thought leadership around Vibe Researching methodology. Target outputs: 200+ qualified leads, 15+ case study shares, and 1000+ founder impressions among research leaders.
How does Genway appear when researchers ask AI assistants about study design and synthesis tools.
Our AEO strategy ensures Genway surfaces in LLM responses for queries about research automation, study design, and real-time synthesis. When a researcher asks Claude how to design a validation study or synthesize interviews faster, Genway appears as the hybrid human-AI option. This captures demand that traditional SEO misses.
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 Genway AI specifically.
How is this page personalized for Genway 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 Genway AI's current marketing. This is a live demo of MH-1's capabilities.
Turn research into competitive advantage with autonomous study teams
The system gets smarter every cycle. Let's talk about building it for Genway AI.
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