Pipeline status: running
Automate the busywork.
Research, content production, monitoring and reporting — wired into workflows that run on their own. Your team keeps the judgment; the machines do the repetition.
> RUN COMPLETE · 8 pages queued for publish
[01]What we automate
If it’s repeatable, it’s automatable.
We start with the tasks your team does every week, measure the hours, and automate the ones that pay back fastest.
Content pipelines
From question research to brief, draft, edit and publish — with a human checkpoint before anything goes live.
AI answer monitoring
Track how often ChatGPT, Perplexity and AI Overviews cite you versus competitors: your Share of Model, over time.
Research & scraping
SERP snapshots, competitor pages, reviews and public data collected on a schedule and cleaned for analysis.
Reporting & dashboards
Search Console, analytics and ranking data merged into one report that updates itself. No more copy-paste Mondays.
Technical monitoring
Alerts for indexation drops, broken links, Core Web Vitals regressions and rogue noindex tags — before traffic dips.
Ops glue
Leads, forms, sheets, CRM and chat wired together, so work moves without someone pushing it.
[02]How we build
Map. Build. Human in the loop. Monitor.
01
Map
Shadow the real process, count the hours, find the bottlenecks.
02
Build
The simplest tool that works — no-code where possible, Python where needed.
03
Review
Human checkpoints wherever quality, brand or money is on the line.
04
Monitor
Logs, alerts and a monthly review, so workflows don’t silently break.
[03]Toolbox
Tools we wire together.
Build
- Python
- Webhooks & APIs
- n8n
- Make
- Zapier
- Cloudflare Workers
AI models
- OpenAI API
- Anthropic API
- Embeddings
- Structured outputs
Data
- Search Console API
- GA4
- Google Sheets
- Looker Studio
- BigQuery
[04]Automation FAQ
Questions, answered.
Q:Will automation replace my team?
No — it removes the repetitive work so your team can spend time on judgment, strategy and relationships. Every workflow we build keeps a human in the loop where it matters.
Q:Code or no-code?
Whatever fits. Simple flows run well in n8n, Make or Zapier; heavier data work gets custom Python. We pick the simplest tool your team can maintain.
Q:Who owns the workflows?
You do. Everything runs in your accounts, is documented, and can be handed over to your team at any time.
> Initialize protocol
Put it on autopilot.
Send a short briefing. We reply with a clear assessment of where you rank, where you’re cited — and what to fix first.