Custom Proposal

We audited the marketing at Acelab

Materials management platform for architects and owners

This page was built using the same AI infrastructure we deploy for clients.

Month-to-month. Cancel anytime.

Series A company (107 employees, $25M+ funding) but minimal visible thought leadership on material selection workflows in AEC

No obvious content strategy educating A&D firms on how Material Hub reduces specification time or coordination friction

Limited presence in AEC procurement conversations where architects actively search for material guidance and documentation tools

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30,000+
Matches Made
6,000+
Customers
Since 2019
Track Record
Your Team Today

Acelab's Leadership

We mapped your current team to understand where MH-1 fits in.

V
Valentin Noves
CEO
D
Dries
Co-founder & CPO

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.

Marketing Audit

Here's Where You Stand

Mid-stage B2B SaaS with product-market fit signals but underdeveloped demand generation and positioning in architect workflows

42
out of 100
SEO / Organic 38% - Moderate

Material Hub likely ranks for direct brand searches but not for high-intent queries architects use when researching specification tools or material databases

MH-1: SEO agent builds content clusters around material selection, specification documentation, and design coordination workflows architects search for

AI / LLM Visibility (AEO) 18% - Weak

Material Hub not positioned in LLM responses about material research tools, building specification processes, or AEC procurement workflows

MH-1: AEO agent optimizes for queries like 'how to document material selections' and 'material specification tool for architects' across Claude, ChatGPT, Perplexity

Paid Acquisition 22% - Weak

No visible LinkedIn or Google Ads targeting architects during material selection phases or specification decision-making windows

MH-1: Paid agent runs account-based campaigns to architecture firms researching material coordination and specification tools, with Material Hub ROI case studies

Content / Thought Leadership 44% - Moderate

Founder narrative (architects solving material pain) is strong but not amplified through blog, case studies, or AEC industry publications about better material decisions

MH-1: Content agent produces Material Hub case studies showing specification time savings, coordinates founder LinkedIn on material science and design practice intersection

Lifecycle / Expansion 28% - Weak

No visible expansion workflows from single-user architects to full A&D firm adoption or owner-level material governance strategies

MH-1: Lifecycle agent maps upsell triggers like multi-project usage, owner coordination needs, and sustainability compliance requirements into Material Hub feature adoption

Top Growth Opportunities

Material selection authority in AEC

Architects and owners actively search for guidance on material research, specification, and documentation. Material Hub can own this conversation.

Content and SEO agents build specification guides, material comparison frameworks, and design decision documentation best practices that funnel to Material Hub

Specification coordination demand

A&D firms struggle with material selection coordination between design, engineering, and procurement. Material Hub solves this but market doesn't know it.

Paid and outbound agents target coordination pain points at mid-size architecture firms with case studies showing Material Hub reducing RFI cycles and change orders

Owner-level material governance

Building owners need material specifications locked in early to avoid cost overruns and performance issues. Material Hub can expand from A&D to owner procurement.

Outbound and lifecycle agents identify owner procurement leaders and map Material Hub as governance layer that reduces material-related project delays

Your MH-1 Team

3 Humans + 7 AI Agents

A dedicated marketing team built specifically for Acelab. The humans handle strategy and judgment. The AI agents handle execution at scale.

Human Experts

G
Growth Strategist
Senior hire

Owns Acelab's growth roadmap. Pipeline strategy, account expansion playbooks, board-ready reporting. Translates AI insights into revenue.

P
Performance Marketer
Senior hire

Runs paid acquisition across LinkedIn and Google. Manages creative testing, budget allocation, and pipeline attribution.

C
Content / Brand Lead
Senior hire

Builds thought leadership on LinkedIn. Creates long-form content targeting your ICP. Manages the content-to-pipeline engine.

AI Agents

SEO / AEO Agent

Monitors AI citation visibility across 6 LLMs weekly. Builds content targeting category queries to increase Acelab's presence in AI-generated answers.

Ad Creative Generator

Produces LinkedIn ad variants targeting your ICP. Tests headlines, visuals, and offers at 10x the speed of manual production.

Email Optimizer

Builds lifecycle sequences: onboarding, expansion triggers, champion nurture, and re-engagement for dormant accounts.

LinkedIn Ghost-Writer

Founder thought leadership. Builds the narrative that drives enterprise inbound from senior decision-makers.

Competitive Intel Agent

Tracks competitors. Monitors positioning changes, ad spend, content strategy. Informs your counter-positioning.

Analytics Agent

Attribution by channel, pipeline velocity, budget waste detection. Weekly synthesis reports with AI-generated recommendations.

Newsletter Agent

Weekly market intelligence digest curated from Acelab's industry signals. Positions you as the intelligence layer. Drives inbound pipeline from subscribers.

What Runs Every Week

Active Workflows

Here's what the MH-1 system would be doing for Acelab from week 1.

01 AEO Citation Monitoring

AEO targets material selection queries ('how architects choose building materials', 'specification documentation tools', 'material research for design firms') positioning Material Hub as the source for material decision workflows

02 Founder LinkedIn Engine

Founder LinkedIn strategy amplifies Valentin and Dries' architect founding story through posts on material choice impact, design coordination friction, and how Material Hub changes specification workflows

03 Ad Creative Testing

Paid campaigns target architecture and owner firm procurement teams with Material Hub ROI metrics (specification time saved, coordination improvements, change order reduction) during budget planning cycles

04 Lifecycle Expansion

Lifecycle agents monitor Material Hub user adoption (single projects to multi-project, single user to team adoption) and trigger expansion campaigns for owner coordination and sustainability reporting features

05 Competitive Positioning Watch

Competitive watch monitors Accela, Agilec, and emerging material database tools to identify positioning gaps and capture architects comparing specification solutions

06 Pipeline Intelligence Brief

Pipeline intelligence identifies architecture firms and owner organizations by project size, material complexity, and team structure to target with Material Hub outbound

The Difference

Traditional Marketing vs. MH-1

Traditional Approach

3-6 months to hire a marketing team
$80-120K/mo for 3 senior hires
Manual campaign management
Monthly reports, quarterly pivots
Agencies don't understand AI products
No compounding intelligence

MH-1 System

Team operational in 7 days
$30K/mo for humans + AI agents
AI runs experiments autonomously
Real-time monitoring, weekly sprints
Built for AI-native companies
System gets smarter every week
How It Works

Audit. Sprint. Optimize.

3 phases. Real output every 2 weeks. You see results, not decks.

1

AI Audit + Growth Roadmap

Full diagnostic of Acelab's marketing infrastructure: SEO, AEO visibility, paid, content, lifecycle. Prioritized roadmap tied to pipeline metrics. Delivered in 7 days.

2

Sprint-Based Execution

2-week sprint cycles. Real campaigns, not presentations. Each sprint ships measurable output across your priority channels.

3

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.

Investment

AI Marketing Operating System

$30K/mo

3 elite humans + AI agents operating your growth system

Full marketing audit + roadmap
Dedicated growth strategist
Performance marketer
Content & brand lead
7 AI agents: SEO, AEO, Ads, Creative, Lifecycle, LinkedIn, Analytics
2-week sprint cycles
24/7 AI monitoring + experiments
Custom MH-OS instance for Acelab
In-House Marketing Team
$80-120K/mo
vs
MH-1 System
$30K/mo

Output multiplier: ~10x output at a fraction of the cost. The system gets smarter every week.

Book a Strategy Call

Month-to-month. Cancel anytime.

FAQ

Common Questions

How does MH-1 differ from a marketing agency?

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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 build SEO and AEO foundation around material selection and specification workflows architects search for, launch paid campaigns to 200+ mid-size A&D firms with Material Hub case studies, activate Valentin and Dries' LinkedIn to establish founder authority on material choice and design practice, and map lifecycle triggers for multi-project and team adoption expansion within existing users.

How do architects find Material Hub when researching specification tools

+

Most architects start with broad searches like 'how to organize material selections' or 'specification documentation software' in ChatGPT and Perplexity. AEO positions Material Hub in those LLM responses as the platform that handles material research, selection documentation, and design coordination. Right now Material Hub doesn't rank in those conversations.

Can we cancel anytime?

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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 Acelab specifically.

How is this page personalized for Acelab?

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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 Acelab's current marketing. This is a live demo of MH-1's capabilities.

Every material choice compounds. Material Hub deserves to reach the architects making them.

The system gets smarter every cycle. Let's talk about building it for Acelab.

Book a Strategy Call

Month-to-month. Cancel anytime.

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