We audited the marketing at MODE
AI platform consolidating building data and energy management
This page was built using the same AI infrastructure we deploy for clients.
Month-to-month. Cancel anytime.
LinkedIn presence underdeveloped at 890 followers despite Series B funding and enterprise positioning targeting facility managers
No visible content strategy around energy efficiency ROI case studies, which directly validates MODE's 20% cost savings claim
Minimal paid search presence for high-intent keywords like 'building energy management software' and 'facility management AI'
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TinuitiMODE'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 B SaaS with enterprise positioning but underinvested marketing channels relative to product maturity and funding stage
Domain authority likely exists but no evidence of ranking for building ops, energy efficiency, or facility management keywords that facility managers actually search
MH-1: SEO agent builds technical content around building system integration and energy benchmarking to capture facility manager research phase
Zero visibility in AI assistant responses about building energy management despite operating in a category where AI visibility drives awareness
MH-1: AEO agent maps queries about building automation, utility optimization, and sustainability compliance to MODE's AI capabilities in LLM indexes
No detectable paid ads for high-ROI facility manager segments or building engineer personas despite $2.5M estimated revenue requiring scale
MH-1: Paid agent runs experiments on facility management software keywords and sustainability/ESG compliance keywords targeting decision-makers
Founders (Gaku, Ethan) have limited public positioning despite deep technical credibility in building data consolidation and IoT
MH-1: Content agent publishes founder insights on building system fragmentation and energy data standardization to establish thought leadership
No visible multi-channel nurture or expansion motion targeting existing facilities to unlock additional building sites or deeper integration
MH-1: Lifecycle agent automates email and LinkedIn sequences showcasing additional system integrations and new AI features to existing customers
Top Growth Opportunities
Facility and building engineers actively search for solutions to reduce operational overhead and energy costs. MODE directly solves this but isn't winning that search traffic.
SEO and paid agents target 'building energy management', 'facility automation', 'utility cost reduction' with landing pages emphasizing integration speed and ROI
Corporate ESG mandates and building decarbonization requirements are top-of-mind for enterprise real estate teams. MODE's sustainability compliance features aren't marketed.
Content agent creates compliance guides and AEO agent optimizes for 'building sustainability reporting', 'carbon footprint management', 'ESG tracking software'
Series B SaaS selling to enterprise facility operators benefit from founder visibility. Gaku and Ethan have minimal LinkedIn presence despite deep IoT/data expertise.
LinkedIn agent builds Gaku and Ethan's profiles with building automation and energy efficiency insights, driving inbound from C-suite real estate decision-makers
3 Humans + 7 AI Agents
A dedicated marketing team built specifically for MODE. The humans handle strategy and judgment. The AI agents handle execution at scale.
Human Experts
Owns MODE'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 MODE'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 MODE'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 MODE from week 1.
AEO agent maps facility manager queries ('how to reduce energy costs', 'building system integration', 'utility benchmarking') to MODE's capabilities in ChatGPT, Perplexity, and Claude indexes
Founder LinkedIn agent publishes Gaku and Ethan's insights on building data fragmentation, energy optimization patterns, and IoT standardization to facility industry audience
Paid agent runs experiments on facility management software keywords, building automation platforms, and sustainability/ESO compliance terms, targeting real estate and facilities decision-makers
Lifecycle agent segments customers by building count and integration depth, automating campaigns showcasing new system connectors, AI assistant features, and ROI results for expansion
Competitive watch agent monitors modo25, modabl, and logmore positioning to identify messaging gaps around integration simplicity and energy savings quantification
Pipeline intelligence agent tracks facility management operators, real estate companies, and enterprise building owners on LinkedIn to identify expansion and renewal 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 MODE'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 foundational presence across untapped channels. Week 1-2: AEO agent maps facility manager search intent to MODE's indexing. Week 3-4: SEO agent launches building energy management content targeting facility engineers. Week 5-8: Paid agent tests facility software keywords and sustainability compliance segments. Week 9-12: Founder LinkedIn profiles go live with building automation insights, and lifecycle campaigns activate multi-site expansion. Expect early wins in SEO rankings and AEO visibility within 45 days.
How does MODE show up when facility managers ask AI assistants about energy management
Right now, MODE doesn't appear in most AI assistant responses about building energy optimization because you're not embedded in the knowledge indexes those tools use. MH-1's AEO agent remaps facility manager queries like 'how to reduce building energy costs' and 'integrate HVAC and lighting systems' directly to MODE's AI capabilities, ensuring you show up when prospects research solutions in ChatGPT, Claude, and Perplexity.
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 MODE specifically.
How is this page personalized for MODE?
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 MODE's current marketing. This is a live demo of MH-1's capabilities.
Stop leaving energy efficiency and facility growth on the table with invisible marketing
The system gets smarter every cycle. Let's talk about building it for MODE.
Book a Strategy CallMonth-to-month. Cancel anytime.