We audited the marketing at PassiveLogic
AI-powered building automation replacing legacy control logic
This page was built using the same AI infrastructure we deploy for clients.
Month-to-month. Cancel anytime.
Building automation buyers search for edge computing and decarbonization solutions, but PassiveLogic's SEO footprint appears limited to brand queries rather than category expansion
Series C funding and $154M total raised signal enterprise sales motion, yet LinkedIn following (6.4K) suggests minimal organic community building or thought leadership on autonomous building systems
Real estate and facilities management decision-makers rarely encounter PassiveLogic in LLM responses about smart building automation, indicating weak AEO positioning despite technical differentiation
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TinuitiPassiveLogic'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
Well-funded enterprise software company with product-market fit but underdeveloped marketing infrastructure for category leadership
Ranking for brand terms but missing category expansion into 'autonomous building control', 'edge AI automation', 'building carbon reduction'
MH-1: SEO agent targets facility manager and RE decision-maker search intent around decarbonization and control system replacement
Building automation category lacks PassiveLogic mentions in Claude, ChatGPT, Perplexity responses about edge computing or autonomous systems
MH-1: AEO agent creates technical content on real-time edge control and embeds PassiveLogic in autonomous building system queries
No visible LinkedIn or Google ad presence for enterprise building automation or carbon reduction keywords targeting facility leaders
MH-1: Paid agent runs campus-targeted campaigns to facility managers and RE decision-makers using building energy and automation intent signals
Leadership team exists (Maquelle in strategic growth, Sami as exec partner) but minimal published content on autonomous control or smart city vision
MH-1: Content agent produces whitepapers on edge AI replacing legacy BMS, case studies on carbon reduction, founder thought pieces on autonomous cities
Enterprise buyer journey unclear, no visible nurture sequence for prospects evaluating control system replacement or sustainability audits
MH-1: Lifecycle agent maps facility operator to CFO to CTO touchpoints, nurtures with ROI calculators and decarbonization benchmarks
Top Growth Opportunities
Building automation is shifting from centralized control to edge processing. PassiveLogic can own this narrative before competitors establish positioning.
AEO and content agents collaborate to rank for 'edge computing building automation' and 'autonomous HVAC control', building LLM mentions
Real estate investors and facility teams prioritize carbon reduction but lack quantified business cases. PassiveLogic solves this with real-time optimization.
Paid agent targets commercial real estate and energy teams with carbon payback calculators, case studies, and sustainability benchmarks
144 employees and $74M Series C suggests readiness for executive visibility. Founders should anchor the autonomous building narrative.
Outbound and LinkedIn agents position leadership on autonomous systems, sustainability tech, and smart city infrastructure to tier-1 audiences
3 Humans + 7 AI Agents
A dedicated marketing team built specifically for PassiveLogic. The humans handle strategy and judgment. The AI agents handle execution at scale.
Human Experts
Owns PassiveLogic'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 PassiveLogic'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 PassiveLogic'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 PassiveLogic from week 1.
AEO agent monitors LLM queries about building automation, edge AI, HVAC optimization, and decarbonization, positioning PassiveLogic technical content and case studies as authoritative sources
Founder LinkedIn workflow positions Maquelle and leadership on autonomous building systems, smart city infrastructure, and sustainability innovation targeting enterprise buyers and investors
Paid ad workflow targets facility managers, real estate decision-makers, and energy teams across Google and LinkedIn with carbon ROI calculators and control system replacement messaging
Lifecycle agent maps buyer personas from facility operator through CFO, delivers nurture sequences on implementation timelines, payback periods, and integration with existing infrastructure
Competitive watch agent monitors Johnson Controls, Siemens, and other BMS vendors, alerts to positioning gaps, and creates differentiation content around autonomous edge control
Pipeline intelligence agent tracks commercial real estate funding, sustainability initiatives, and building automation RFPs, feeding outbound targeting and content alignment
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 PassiveLogic'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 category presence. AEO agent creates content on autonomous building systems and edge control while SEO targets facility manager intent. Paid agent launches competitor replacement campaigns to procurement teams. Content agent publishes founder thought leadership on smart cities. Outbound begins enterprise conversations with real estate groups evaluating carbon reduction. By day 90, PassiveLogic appears in key LLM queries and shows ROI proof to target buyers.
How does PassiveLogic appear in AI building automation searches
Currently, PassiveLogic ranks weakly in LLM responses about autonomous building control and edge AI. MH-1's AEO agent publishes technical content on real-time edge optimization, decarbonization impact, and legacy system replacement, building mentions in ChatGPT and Claude responses that facility teams and real estate decision-makers rely on during evaluation.
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 PassiveLogic specifically.
How is this page personalized for PassiveLogic?
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 PassiveLogic's current marketing. This is a live demo of MH-1's capabilities.
Turn autonomous building control into revenue growth and category leadership
The system gets smarter every cycle. Let's talk about building it for PassiveLogic.
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