The basics
What can be automated in SEO, and what shouldn't be
Automated SEO doesn't mean a tool that “does SEO for you”. It means taking the repetitive, rule-based parts of the work and turning them into scripts, so people spend their time on decisions instead of copy-paste.
Automate
- Pulling data from Search Console, GA4 and crawls
- Monthly and weekly SEO reports
- Bulk checks on URLs, titles, schema and redirects
- Categorizing and cleaning product data
- Content drafts, formatting and publishing
Keep human
- SEO strategy and priorities
- Deciding which pages to build, merge or cut
- Final editing and fact checking
- Brand voice and claims about your business
- Anything that goes live without review
Problem 1
Your team spends days checking spreadsheets by hand
“We have thousands of product URLs to verify, and two people doing it manually.”
Product feeds, URL lists, redirect maps and category exports grow faster than anyone can check them. Google Apps Script and Python can match, flag and format thousands of rows in minutes, and leave only the uncertain cases for a person.
Input3,716 product URLs from several retailers to match against the site
→
AutomationApps Script and Python: brand extraction, matching rules and auto-formatting in one run
→
Result2,209 rows flagged for review, 1,281 marked as no-match automatically
Input1,393 products exported from a catalogue
→
AutomationCategory audit against a planned 3-level tree
→
ResultCategorization errors found and corrected in bulk
SEO reports take a day to build every month
“By the time the report is ready, it's already out of date.”
Automated SEO reporting pulls the numbers from Search Console and GA4 on a schedule and shows what actually changed: which pages and queries won or lost clicks, and where to look next. You get a report that updates itself instead of a monthly screenshot deck.
What I do
- Search Console & GA4 data on a schedule
- Custom SEO reports in Google Sheets
- Alerts for drops in clicks or indexing
- Page and query level comparisons
Problem 3
You need content at scale, but quality keeps dropping
“The AI texts all sound the same, and some of them are simply wrong.”
AI content automation works when it has rules: what to write, what never to repeat, which facts to check and what a human must review before publishing. I build content pipelines with those guardrails built in, from the prompt to the published page.
InputThousands of products with basic attributes
→
AutomationVersioned prompt with deterministic variation, an anti-repetition list and a self-check step
→
ResultProduct descriptions that don't read like copies of each other
InputA tournament schedule with dozens of matches
→
AutomationPython and the Claude API, with featured images generated from SVG templates
→
ResultReady-to-review articles in WordPress block format, images included
Keyword research and audits that take days
“Every new campaign starts with a week of spreadsheet work.”
Much of keyword research and auditing is the same process every time. I turn it into AI agents and scripts that follow your rules: sorting keywords by intent, checking ad copy against policy, flagging pages for review. The output is a first draft a person can approve in an hour, not a black box.
What I do
- Keyword research agents by intent
- Google Ads copy and policy checks
- Bulk on-page and schema checks
- Outreach lists and follow-up emails
Stack
Tools I build SEO automations with
No new platform to learn. The automations run on tools your team already has, and you own the code.
- Python
- Google Apps Script
- Google Sheets
- Search Console API
- GA4
- Claude & OpenAI APIs
- WordPress REST API
Does your team repeat something every week? Would you mind telling me what?Automation projects are quoted per task, after a short call.
No, I'll write →
SEO automation FAQ
Can SEO be automated?
Parts of it, yes: data collection, reporting, monitoring, bulk checks, content drafts and publishing. Strategy, priorities and final editorial decisions still need a person. The best results come from automating the repetitive work so that time goes into the decisions.
Will AI-generated content hurt my rankings?
Google doesn't penalize content for being AI-assisted. It penalizes thin, repetitive or inaccurate content, which is what unchecked AI output often is. That's why every content pipeline I build includes rules against repetition, fact checks and a human review step.
Do I need to buy new SEO tools?
Usually not. Most automations run on what you already have: Google Sheets, Search Console, GA4, your CMS and an AI API key. Where a paid tool is genuinely better, I'll say so.
Who maintains the automations after delivery?
You get the code or the script, with short documentation. I can maintain and extend it as part of
monthly support, or hand it over to your team.
How much does SEO automation cost?
Automation projects are scoped individually, because a single Apps Script and a full content pipeline are very different jobs. Send me the task you want automated and I'll come back with a fixed quote.
Is it risky to publish AI-written content?
Not if it has rules and human review. What's risky is content published at scale, straight from AI, that nobody reads. The pipelines I build include fact checks and a person before publishing.