Marketing teams often have the data they need to make good decisions — it's just spread across Search Console, GA4, an ads platform, a review monitoring tool, and a spreadsheet someone updates manually. The first automation worth building is usually the one that consolidates this, not the one that acts on it.
A simple starting architecture
A practical first workflow in n8n looks like: scheduled triggers pull data from each connected source (Search Console API, GA4 API, ranking data, ad platform API), normalize it into a common structure, write it to a central database, and make it available to a reporting layer. No decisions are automated yet — the goal is a single, reliable source of current data.
Why this order matters
Automating decisions (bid changes, alert thresholds, report distribution) before the underlying data pipeline is reliable tends to produce automation that has to be constantly double-checked, which defeats the purpose. Get the data layer right first.
What comes after
Once data flows reliably into one place, the next layer is processing: flagging significant changes, generating a prioritized action list, and assembling a monthly report automatically. Only after that is trustworthy does it make sense to automate distribution — for example, emailing the finished report to a client on a fixed schedule. This is the architecture this site's SEO Dashboard and future n8n integration are designed around.