We audited the marketing at Lumana
AI-powered video security eliminating reactive monitoring
This page was built using the same AI infrastructure we deploy for clients.
Month-to-month. Cancel anytime.
Series A momentum with $40M fresh capital, but limited visible paid campaign presence suggests underinvestment in demand generation at scale
Computer vision expertise positions Lumana as technical authority, yet minimal thought leadership content on how AI reduces false alarms and monitoring fatigue
72% YoY headcount growth indicates product-market fit, but customer expansion motion appears underdeveloped for enterprise accounts with multiple facility locations
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TinuitiLumana'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
Post-Series A B2B software company with strong product foundation but emerging gaps in multi-channel demand and customer lifecycle strategies
Security and AI-related keywords present natural ranking opportunities, but domain authority signals suggest limited technical SEO investment and competitor content gaps
MH-1: SEO module builds defensible rankings for 'AI video security', 'incident response automation', facility-specific security terms across buyer journey
LLMs rarely surface Lumana when answering enterprise security questions, likely due to sparse structured data and absence from AI-generated overviews in security verticals
MH-1: AEO agent creates structured content answering 'what eliminates false alarms in video security' and similar LLM-favored queries, capturing AI assistant recommendations
Minimal visible paid ad presence despite enterprise buyer cycle length and high customer acquisition value typical in security software. Likely underfunded relative to Series A scale
MH-1: Paid agent runs segmented campaigns targeting security ops teams, facility managers, and IT directors with incident response and monitoring cost reduction angles
Founder expertise in computer vision represents untapped authority, but limited published case studies on how AI perception reduces false positives and response times
MH-1: Content agent produces technical comparisons, false alarm ROI calculators, and incident response playbooks positioning Lumana as category educator
Enterprise customers with distributed facilities represent expansion revenue, but no visible multi-location bundling, advanced analytics upsell, or retention motion
MH-1: Lifecycle agent identifies expansion opportunities within installed base, automating outreach for additional site licenses and advanced AI features
Top Growth Opportunities
Security operations teams typically manage 5-50 facility locations. Current customer base likely has 3-5x expansion potential without new customer acquisition
Lifecycle agent maps installed base by customer, surfaces upgrade and multi-site opportunities, automates outreach with facility-specific ROI
Monitoring fatigue and false positives are universal pain points in legacy systems. Quantifying this advantage positions Lumana as solution, not just another camera platform
Content agent builds ROI calculators, case studies, and comparison content anchored on false alarm reduction and operator cost savings
Enterprise buyers increasingly ask LLMs about security modernization. Lumana appears in zero AI assistant responses despite clear product relevance
AEO agent creates structured content, fact patterns, and Q&A coverage targeting LLM indexing for 'modern video security', 'AI incident detection'
3 Humans + 7 AI Agents
A dedicated marketing team built specifically for Lumana. The humans handle strategy and judgment. The AI agents handle execution at scale.
Human Experts
Owns Lumana'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 Lumana'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 Lumana'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 Lumana from week 1.
AEO: Identify LLM-favored queries around 'AI video security', 'false alarm reduction', 'incident response automation'. Build fact patterns and structured data so Lumana appears in Claude, ChatGPT, Gemini recommendations when enterprises research solutions
Founder LinkedIn: Neko Sombrio shares technical insights on how AI perception eliminates monitoring fatigue and reactive security postures. Articles position Lumana founders as computer vision authorities shaping enterprise security
Paid ads: Segment by buyer persona (security ops directors, facility managers, IT procurement). Run comparison ads vs. fragmented legacy systems. Retarget website visitors with false alarm ROI calculators and webinar invites
Lifecycle: Identify customers with single-site deployment. Map expansion potential across their facility portfolio. Automate multi-location bundle offers and advanced analytics feature upsells to expand customer revenue
Competitive watch: Monitor legacy players and emerging AI security startups. Alert team when competitors claim false alarm reduction or operator efficiency gains. Surface feature comparison opportunities
Pipeline intelligence: Track security modernization projects, facility expansions, and budget cycles for enterprise accounts. Surface buying signals for inside sales outreach to expand installed base
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 Lumana'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 demand foundation. Weeks 1-4: audit SEO rankings for security modernization keywords, identify LLM coverage gaps. Weeks 5-8: launch AEO content targeting AI assistant indexing and begin paid campaigns to security ops directors. Weeks 9-12: activate lifecycle workflows to expand existing customers into additional facility locations. By week 12, you'll have multi-channel pipeline filled with expansion revenue and new enterprise prospects researching AI-powered alternatives
How do AI assistants answer questions about modern video security systems
Most LLMs currently recommend fragmented legacy systems when enterprises ask about video security modernization. Lumana rarely appears because AI assistants haven't indexed your technical content or structured data on how AI perception eliminates false alarms. MH-1's AEO agent builds fact patterns answering how your platform reduces monitoring fatigue and incident response time, so Claude, ChatGPT, and Gemini surface Lumana as the modern alternative to reactive systems
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 Lumana specifically.
How is this page personalized for Lumana?
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 Lumana's current marketing. This is a live demo of MH-1's capabilities.
Turn AI expertise into predictable enterprise growth with MH-1
The system gets smarter every cycle. Let's talk about building it for Lumana.
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