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
Build a list of business-critical URLs and check response codes, titles, canonicals and broken links on every run. Do not turn every alert into an automatic edit: group issues by template and prioritise strategic pages. Keep a history to spot regressions.
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Do not publish SEO changes just because a tool suggests them; verify intent, context and effects on important pages.
Automated SEO audits
We check crawling, indexing, internal links and metadata on a schedule. A report prioritizes issues by impact and lets your team decide which changes to make before publishing them.
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.