Investment Opportunity
Programmable infrastructure for inbound growth — a unified data, workflow, and intelligence layer that lets teams build, run, and scale any SEO operation without engineering overhead.
The Problem
They cobble together 5-10 disconnected tools with no unified data layer, no automation capability without developers, and no way to address AI search.
Teams pay $500-$2,000+/month for multiple point tools (Ahrefs, SEMrush, GSC, GA4, spreadsheets) with no unified layer.
Agencies report 15-20 hours per week per client on manual SEO research and strategy work.
Zero-click searches hit 69%. When AI Overviews appear, organic CTR drops 61%. Existing tools don't address this.
Market Opportunity
Growing to $266B+ by 2034
13.5% CAGR
Enterprise SEO platforms
Growing to $58B+ by 2035
~5,000 agencies at
$24K-$60K ACV
The Solution
Berlin combines an integrated SEO data engine, unified data layer, agentic workflow builder, and LLM interoperability — all in one platform.
Keyword intelligence from Semrush/DataForSEO cached in Berlin's database. Proprietary crawlers (Snake.blue). Users never need separate subscriptions.
Single API connecting GSC, GA4, Bing Webmaster, CMS, social media. Connect once, available across all workflows.
Chat-based, no-code interface. Build multi-step workflows, run on-demand or scheduled, share across org with human-in-the-loop review.
Same infrastructure exposed as tools inside Claude, ChatGPT. Work from your preferred environment.
A library of pre-built, vetted workflows that automate complex multi-step SEO operations with a single click. Users get immediate value on day one without building anything.
Product
Complete platform infrastructure, all operational.
Enterprise-grade data without third-party subscriptions
Automated crawlers, competitor monitoring, always fresh
Single API for all SEO data sources
Chat-based, no-code, scheduled execution
Works inside Claude, ChatGPT via MCP
Multi-user, access control, multi-project
+ Brand Context, Report Center, Review Center, Third-Party Integrations, Workflow Templates
Customers
Primary: SEO Agencies. Secondary: In-House Marketing Teams.
Pain: Reporting doesn't scale, no GEO/AEO story, no dev access
Value: Build once, run across all clients; sell AI visibility as new service
Buyers: Agency Owner, Director of SEO, Head of Ops
Pain: Can't afford full toolstack, manual reporting, need to win pitches
Value: Force multiplier, punch above weight class, lead gen hooks
Buyers: Agency Founder, Principal Consultant
Pain: SEO-to-pipeline attribution broken, AI discovery invisible
Value: Unified data layer, LLM integration, AI visibility metrics for leadership
Buyers: Head of SEO, VP Growth
Pain: Thousands of pages, AI shopping invisible, programmatic SEO blocked
Value: Scale infrastructure, AI visibility for shopping queries
Buyers: Head of SEO, VP Digital
Business Model
Connect domain, run pre-built workflows, explore data layer
Full execution, custom workflows, multi-client support
Higher allocations, unlimited automation, Forward Deployed Marketers
Customers compare Berlin to a hire ($60K-$120K/year), not a tool ($200/seat).
On core platform infrastructure. LLM tokens at cost (strategic decision). BYO-LLM option available.
Traction
Pre-commercial launch. Validating product-market fit with design partners.
Go-to-Market
Immediate objective: 20 Founding Partners in 50 days.
Founder-led thought leadership on LinkedIn. Agent-native expertise (not SEO-first) fills a clear market gap. 16K+ impressions on single posts.
r/agent_seo subreddit (3.3K members). Pre-built workflow demos shared as educational content. Self-reinforcing distribution channel.
~50 free workflows automating 90% of daily SEO tasks. Platform becomes indispensable before any sales conversation.
Building autonomous affiliate site managed end-to-end by Berlin. ~2 month timeline. Ultimate "show, don't tell" asset.
Competition
Berlin's unique positioning vs. GEO platforms, content tools, and incumbents.
| Capability | Berlin | Profound | AirOps | Semrush | n8n/Make |
|---|---|---|---|---|---|
| Integrated keyword database | ✓ | ✕ | ✕ | ✓ | ✕ |
| Custom workflow building (no-code) | ✓ | ✕ | Partial | ✕ | ✓* |
| LLM interoperability (MCP) | ✓ | ✕ | ✕ | ✕ | ✕ |
| Brand context / org memory | ✓ | ✕ | ✕ | ✕ | ✕ |
| Team governance & review | ✓ | ✕ | ✕ | ✕ | ✕ |
| No engineering overhead | ✓ | ✓ | ✓ | ✓ | ✕ |
*n8n requires engineering to configure
Timing
Three converging factors create the perfect storm.
ChatGPT, Perplexity, Google AI Overviews reshaping discovery. GEO/AEO visibility crisis that legacy tools don't address.
Multi-step SEO workflows now reliably orchestrated through natural language. Impossible 18 months ago.
Model Context Protocol and tool-use standards maturing. Interoperability with LLM apps now viable as infrastructure.
Team
Founder & CEO
Rare combination: AI infrastructure engineering + hands-on agency experience. Personally experienced the exact pain points Berlin solves.
Financials
~10 months of product evolution with under $1,100/month expenses.
Transitioning from product development to go-to-market. At planned marketing spend (~$11,650/month), current reserves support ~2 months. This raise bridges the gap from validation to repeatable customer acquisition.
The Ask
Target runway: 16-18 months at ~$11,650/month burn
5 paying customers at $2K+/month ACV
$10K+ MRR from new ICP customers
30+ workflows, 200+ free users
$300K-$500K ARR for seed round
100% founder-owned • Clean cap table • Delaware LLC (C-Corp ready) • All IP company-owned