No engineering. No hallucinations. No surprises.
Berlin — The SEO Agent Platform
More to monitor, more to optimize, more to report on — and the team is already at capacity.
API setup, auth flows, node chaining — this is engineering-adjacent work. Breaks silently. Hallucinate on large, semantically similar datasets. Takes days to build what should take minutes.
Works on simple tasks. Falls apart when the data exceeds context windows. Costs spiral unpredictably as data scales. No built-in integrations to your CMS or analytics.
Scripts become a maintenance burden. No one else on the team can modify or trust the output. Weeks of dev time for something that should be a conversation.
The gap between "experimenting with automation" and "running reliable agents at scale" is massive. Every path takes too long and is too complex for a marketing team.
Every month we spend on manual work that agents could handle is a month our competitors are automating. The gap compounds — the longer we wait, the more ground we cede.
Build an agent in minutes. Automate hours of manual work. No engineering required.
Simple enough for any marketer to use. No API configs, no node editors, no scripting. If you can describe the task, you can automate it.
| Agent | What it does | Manually | With Berlin | Runs |
|---|---|---|---|---|
| 404 Finder & Redirect Mapper | Crawls for hard & soft 404s, matches each broken URL to the best redirect target by content similarity and link equity | 3–8 hrs crawl + spreadsheet mapping |
~10 min | Weekly |
| Position 3–10 Content Optimizer | Pulls almost-there pages from GSC, searches Google, compares your content against top results, finds gaps using your own keyword data | ~45 min per page, manually |
~2 min per page |
Quarterly |
| Keyword Cannibalization Fixer | Detects pages competing for the same queries in GSC, flags conflicts, recommends which to consolidate, redirect, or differentiate | 4–8 hrs spreadsheet pivoting + analysis |
~10 min | Quarterly |
| AI Search Rank Tracker | Monitors how your brand shows up in ChatGPT, Perplexity, and AI Overviews for target queries | Not feasible at any useful scale |
Continuous | Always on |
| Content Decay Watchdog | Flags pages losing rankings or traffic over time — before they fall off page 1 | 2–4 hrs monthly GSC/GA comparison |
Continuous alerts on decay |
Always on |
These are some of the first agents available in the workflow marketplace — ready to run on day one, customizable for your site and stack.
The thin MCP architecture separates reasoning from data handling — the root cause of hallucination in DIY setups.
CMS, analytics, cloud platforms, data sources — connect with OAuth and go. No API configuration, no auth debugging, no n8n nodes to wire up.
#1 relief point vs. DIY automation
Ad-hoc keyword check? On-the-fly agent handles it instantly. Weekly competitor report? Same interface, becomes a scheduled agent. No distinction in complexity — no separate builder for each.
Matches how SEO work actually happens
Proprietary crawlers continuously crawl your pages and competitors' pages. Data is always fresh, always queryable. No manual Screaming Frog runs, no stale data, no waiting for a crawl to finish.
Eliminates the most time-consuming ritual in SEO
AI-assisted discovery is reshaping how B2B buyers shortlist vendors. Your prospects are asking ChatGPT, Perplexity, and browsing AI Overviews — and you have no visibility into how your brand appears in those results.
Berlin's GEO/AEO capabilities give you monitoring and optimization across every AI search surface. This is the metric leadership will ask about next quarter — you can have it now.
Monitor brand mentions, track citation frequency, optimize for AI visibility — all from the same platform.
| Dimension | Point tools | DIY (n8n + Claude) | Berlin |
|---|---|---|---|
| Data unification | Siloed per tool; manual exports | Must wire each API separately | Unified layer — GSC, GA4, keywords, crawls, competitors queryable together |
| Automation | No workflow engine | Requires API auth, node chaining, error handling | Chat-based — describe it, run it |
| Reliability | N/A | Hallucination on complex data; silent failures | Thin MCP — LLM reasons, Berlin handles data |
| Integration setup | Each tool standalone | Manual API config per integration | Built-in — connect with OAuth, done |
| Crawling | Manual runs; stale between audits | Must build & maintain separately | Continuous & always queryable |
| AI search visibility | None or limited | Must build custom | Integrated GEO/AEO monitoring & optimization |
| Monthly cost | $300–$3,000+ across tools | Low tool cost, high labor cost | $199/mo (Founding Partner, locked forever) |
| Manual hours | 60%+ of daily work is mundane, repeated tasks | Some tasks reduced, but building automations consumes its own hours | Agents built in minutes automate hours of work |
+ credit top-ups for usage. Predictable costs — no token-spirals.
Vetted, ready-to-run workflows for common SEO tasks. The team gets value immediately without building anything from scratch.
Describe what you need in plain English. No new UI to learn, no visual node editors, no scripting. If you can describe the task, you can build the agent.
Every output is verified by a human before it goes live. Experienced team members stay in control. Automation amplifies expertise, it doesn't replace judgment.
A 10+ person team needs to trust the output. Berlin is designed for that — from the interface to the verification layer.
Your team already pays for Claude Pro, ChatGPT Plus, or similar subscriptions. Berlin plugs into those — no extra token costs. You use your existing LLM subscription, Berlin adds the SEO intelligence layer.
Full interface with workflow builder, dashboards & Review Center
Claude Code & Claude Cowork — use your existing subscription
ChatGPT Codex — same data, same accuracy, your existing plan
Open-source option with full Berlin data access
Berlin isn't another token cost. It's a data & accuracy layer that rides on the LLM subscriptions you're already paying for.
A hands-on session for your marketers on how to build reliable AI agents for marketing — from real experience building AI agents for marketers. Not generic AI training.
Our engineers and marketers sit with your team for the first month. We train them, build agents together, and automate 60%+ of their daily effort. Full self-sufficiency by month two.
Founding Partners shape what gets built next. Your team's use cases directly inform feature prioritization.
The ask: Join the Founding Partner Program at $199/mo — locked in forever. We'll train your team, build agents with you in month one, and automate 60%+ of the daily grind. Your agents get smarter over time as the Strategy Layer evolves — at no extra cost.
Next step: a 15-minute walkthrough where we build one of your actual workflows live — so you can see exactly what this looks like with your data, your integrations, your team's use case.
Berlin — The SEO Agent Platform · agentberlin.ai