Hours lost to repetitive tasks
Keyword clustering, content briefs, rank tracking, reporting. Each task takes hours done manually. Done with AI automation — minutes. The compounding time loss is killing your team's strategic capacity.
Time drainThe bottleneck
The average SEO team spends 60% of their time on tasks that don't require human judgment — keyword clustering, brief writing, rank report generation, internal link analysis. That's time stolen from strategy and execution that actually moves revenue.
Keyword clustering, content briefs, rank tracking, reporting. Each task takes hours done manually. Done with AI automation — minutes. The compounding time loss is killing your team's strategic capacity.
Time drainManual processes produce inconsistent outputs. Brief quality varies by who writes it. Reports get delayed. Internal links get missed. Automation enforces consistency at every step, every time.
InconsistencyYou can't 10x your content output by hiring 10 more people. You scale by building systems. Teams that build automation infrastructure compound their output — teams that don't hit a hard ceiling.
Scaling ceilingWhat I build
I map your current SEO workflow, identify every manual bottleneck, and replace them with AI-powered automation using the right tools for each job.
AI-generated content briefs using NLP clustering, SERP analysis, and semantic keyword mapping. From keyword to production-ready brief in 3 minutes, not 3 hours.
Automated keyword discovery, clustering, intent classification, and opportunity scoring. Process thousands of keywords in minutes with consistent, repeatable outputs.
Automated internal link recommendations using semantic similarity analysis. Never miss a linking opportunity. Built in Python or n8n to run on your existing content base.
Automated rank tracking, GSC data pulls, and client report generation. Custom Looker Studio dashboards that update automatically — no manual data entry ever again.
End-to-end workflow automation for your specific SEO process. Built on n8n, Make, or Python depending on your stack and team's technical level.
Every step automated — from keyword input to final report.
Scope of work
50%
Reduction in content brief time
10x
Keyword processing speed
40%
Less manual reporting work
Keyword discovery and clustering automation
Content brief generation system
SERP analysis automation
Internal link recommendation engine
Rank tracking automation
GSC data pull and processing
Client report auto-generation
Looker Studio dashboard setup
Competitor monitoring alerts
Custom n8n/Make workflow builds
The process
Map your current SEO process end-to-end. Identify every manual task, time spent, and automation opportunity. Prioritize by time saved vs complexity.
Week 1Design the automation architecture. Choose the right tools (n8n, Make, Python, Claude API) for each workflow. Build the integration plan.
Week 2Build each automation workflow, test with real data, and refine until outputs match or exceed manual quality. Document everything.
Month 2Train your team on the new systems. Set up monitoring, error alerts, and maintenance processes. You own the automation.
Week 3–4Proven results
50%
Brief Time Reduction
Average reduction in content brief creation time after implementing AI brief generation system (from 3 hours to under 30 minutes)
40%
Manual Work Eliminated
Average reduction in manual SEO workflow tasks after full automation implementation for SaaS content teams
10x
Keyword Processing
Speed increase in keyword research and clustering using automated NLP pipelines vs manual spreadsheet processing
Fit check
You have an SEO team spending significant time on repetitive tasks
You're producing content at scale and brief quality is inconsistent
You want to 10x output without 10x headcount
You have budget for 2–4 weeks of automation build time
You want to own the automation — not pay monthly for a tool
You're a solo founder with no content team yet
You need content written — not just briefed and planned
You want a quick fix rather than a systematic workflow change
You don't have an existing SEO process to automate
Have more questions?
Common questions
What tools do you use to build SEO automations?
Primarily n8n and Make for workflow automation, Python for custom data processing, the Claude API and GPT-4 for AI-powered content tasks, and Google Sheets/Airtable for data storage. I choose tools based on your team's technical level and existing stack.
Do I need technical knowledge to use the automations you build?
No. I build automations with your team's skill level in mind and provide full documentation and training. Most workflows I deliver have simple trigger mechanisms — your team clicks a button or submits a form, and the automation handles the rest.
Who owns the automation after you build it?
You do — completely. I build on tools you control (your n8n instance, your Make account, your Python scripts). There's no ongoing dependency on me. I provide documentation and a handoff session so your team can maintain and extend the workflows independently.