Useful automation starts by understanding the real work, before choosing a tool. This guide helps you make that decision with data, tests and clear ownership.
Where it fits your workflow
We connect search data, content and editorial review so organic growth has a measurable process. We detect technical issues and visibility changes with useful alerts for your team.
How to plan the implementation
Keep Search Console and crawl data separate from editorial decisions. An alert should include the URL, observed signal, date and person responsible for checking it.
Before implementation, map the source data, the expected outcome and the person who approves exceptions. Check which systems offer an API and which steps need manual review.
A practical example
If a service page stops being indexed, the alert should include its URL, date and possible cause, not just “SEO error”. First check whether the URL changed, has noindex or has another Google-selected canonical. Then staff can choose a concrete correction.
What to measure and when to step in
Set a baseline and monitor issues found, time to resolution and changes on important pages. An automatic outcome is not necessarily a correct one: keep uncertain cases visible and record staff corrections.
Do not publish SEO changes just because a tool suggests them; verify intent, context and effects on important pages.
Indexing error alerts
We watch indexing signals and notify you when an important URL disappears or reports an error. The workflow brings together the affected page, the issue type and a clear review action.
See how we build it ↗What comes next?
Choose one workflow, document how it works today and note the time it takes and common errors. With that baseline, we can define a small test before expanding the automation.