Services
SEO automation & reporting
Replace hours of manual auditing and spreadsheet work with pipelines and dashboards that run on their own.
What’s included
- Python scripts and LLM pipelines for audits, schema validation and content checks
- MCP and API integrations that connect AI agents to your SEO data
- SQL and BigQuery analysis on Search Console and GA4 exports
- Looker Studio and Power BI dashboards
- Alerts for indexation drops, errors and performance regressions
- Documented workflows your team can run without me
What you get
- Working scripts or pipelines in your repository
- Dashboards connected to live data
- Documentation and a handover session
Who it’s for
In-house SEO teams and agencies drowning in repetitive checks, and leaders who want reporting they can trust without waiting for a monthly deck.
Advanced technical work
- Scheduled crawls with diffs, so new errors are caught within days, not months
- Server log pipelines: parse, verify Googlebot and report crawl waste
- CI checks on every deploy: schema validation, hreflang reciprocity, redirect maps and broken links
- Lighthouse CI and Core Web Vitals budgets that fail a build before it ships
- LLM-assisted classification and drafting with human review, never auto-publishing
- Merchant Center and product feed monitoring: disapprovals, price and stock mismatches, with alerts
How it works
- 01Pick the repetitive workWe list the checks and reports your team repeats every week or month.
- 02Build the pipelineI write scripts or LLM-assisted workflows that pull your data, run the checks and flag issues.
- 03Connect dashboardsResults flow into Looker Studio or Power BI so stakeholders can read them without asking for a report.
- 04Hand overThe workflow is documented and your team can run it without me.
What I need from you
- Access to the data sources (Search Console, GA4, BigQuery)
- A repository or workspace for the scripts
- Who will own the workflow afterwards
Frequently asked questions
What can be automated in SEO?
Schema validation, crawl comparisons, redirect checks, reporting, log and Search Console analysis, and first drafts of repetitive on-page work that a person then reviews.
Can AI replace manual SEO checks?
It removes repetitive work such as validation and reporting. A person still reviews the findings and decides what to change.
What is MCP and do I need it?
MCP is a standard way to connect AI assistants to your tools and data. It is useful when you want an assistant to query your SEO data directly, and it is optional.