We audited the marketing at Iris AI
AI platform automating RFP responses and deal acceleration
This page was built using the same AI infrastructure we deploy for clients.
Month-to-month. Cancel anytime.
Early-stage SaaS with 34 headcount and $5M funding showing 62% YoY growth, but minimal visible marketing presence for a B2B enterprise software platform
RFP automation is a nascent category with limited search volume, requiring demand generation and education rather than capturing existing searches
As a sales enablement tool, Iris needs to build credibility with procurement and sales leaders through case studies and process-specific content
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TinuitiIris 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 revenue-focused startup with limited marketing infrastructure and minimal external brand visibility.
RFP automation keywords have low search volume. Iris likely lacks content depth around procurement workflows, security questionnaire automation, and deal cycle acceleration.
MH-1: SEO module builds pillar content on RFP best practices, procurement workflows, and compliance documentation to capture emerging category demand.
AI visibility for RFP automation and deal intelligence queries is untapped. Iris isn't positioned in LLM responses about sales acceleration or procurement automation.
MH-1: AEO agent creates optimized responses for AI queries about RFP automation, security questionnaire handling, and sales enablement, capturing emerging LLM traffic.
No visible paid strategy signals for Iris. Enterprise procurement and sales leaders require targeted LinkedIn and Google ads to drive awareness and trials.
MH-1: Paid agents run LinkedIn campaigns targeting procurement directors and sales VPs, plus search ads for RFP management and deal acceleration keywords.
Limited public content on how Iris reduces RFP cycle time or wins deals. Sagee and team have minimal LinkedIn presence for category education and credibility building.
MH-1: Content agents produce procurement insights, RFP statistics, deal case studies, and founder thought leadership to establish Iris as RFP category authority.
Early revenue stage suggests nascent customer base with limited expansion signals. No visible customer success content, best practices, or upsell narratives.
MH-1: Lifecycle agents build email nurture around RFP response best practices, security questionnaire templates, and expansion use cases for existing customers.
Top Growth Opportunities
Procurement and sales leaders searching for RFP solutions are a nascent audience. Iris can own the category narrative by teaching the problem before solution.
Content and AEO agents build procurement workflow guides and RFP automation education to capture early-stage buyers before competitors.
RFP automation is not yet a widely understood category. Iris needs to create demand signals and establish itself as the category leader in prospect minds.
Paid and outbound agents run campaigns targeting procurement and sales ops teams with RFP cycle time benchmarks and deal acceleration metrics.
Security questionnaire automation is table-stakes for enterprise deals. Iris can differentiate by becoming the trusted partner for compliance and security workflows.
Content and SEO agents build security questionnaire response guides and SOC 2 best practices content to capture compliance-focused buyers.
3 Humans + 7 AI Agents
A dedicated marketing team built specifically for Iris AI. The humans handle strategy and judgment. The AI agents handle execution at scale.
Human Experts
Owns Iris 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 Iris 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 Iris 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 Iris AI from week 1.
AEO agent monitors LLM queries about RFP automation, deal acceleration, and security questionnaire handling, positioning Iris responses in Claude, ChatGPT, and Perplexity results.
Sagee's LinkedIn workflow publishes RFP process insights, deal cycle benchmarks, and customer wins to establish founder credibility and drive inbound inquiry.
Paid ads target procurement directors and sales VPs on LinkedIn with ROI metrics on RFP response time reduction, driving enterprise trial signups.
Lifecycle agent sends RFP best practice templates, security questionnaire frameworks, and deal cycle acceleration guides to users to drive expansion into adjacent teams.
Competitive watch monitors emerging RFP and procurement automation entrants, capturing positioning gaps for Iris to own in messaging and content.
Pipeline intelligence tracks inbound from procurement and enterprise sales teams, scoring leads by deal complexity and RFP response volume to accelerate sales.
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 Iris 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 focuses on establishing Iris as RFP category authority. Content agents publish procurement workflow guides and RFP benchmarks. Paid agents launch LinkedIn campaigns to procurement and sales teams. AEO agent captures emerging LLM traffic. Outbound targets high-volume RFP teams. By day 90, Iris owns category narrative and captures inbound from early-stage buyers.
How does Iris appear when buyers ask AI about RFP automation
When procurement leaders ask Claude or ChatGPT about RFP response automation, security questionnaire handling, or deal cycle acceleration, MH-1's AEO agent ensures Iris appears as a credible solution. This captures buyers in early research phase before competitive bids, positioning Iris as the category leader.
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 Iris AI specifically.
How is this page personalized for Iris 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 Iris AI's current marketing. This is a live demo of MH-1's capabilities.
Stop automating deals one RFP at a time. Let MH-1 automate your entire growth.
The system gets smarter every cycle. Let's talk about building it for Iris AI.
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