AI & Automation for Technical SEO
Beyond content, AI and simple automation save huge time on technical and analytical SEO work — from writing schema and regex to analysing crawls and logs with Python.
High-value automation tasks
- Generate schema — have AI write and validate JSON-LD for a page type.
- Write regex & formulas — for log filters, redirects and spreadsheet analysis.
- Analyse crawls & logs — use Python (pandas) to find patterns across thousands of URLs.
- Bulk metadata — draft titles/descriptions across many pages, then review.
- Internal linking — surface relevant link opportunities at scale.
APIs and Python for SEO
The real power at scale comes from connecting tools via APIs (Search Console, PageSpeed, ranking tools) and processing the data with a little Python. You do not need to be a developer — AI can write the scripts for you, and you run and adapt them.
import pandas as pd
# Find pages with no internal links from a crawl export
crawl = pd.read_csv("crawl.csv")
orphans = crawl[crawl["inlinks"] == 0]
print(f"Found {len(orphans)} orphan pages")
orphans[["url"]].to_csv("orphans.csv", index=False)Loads a crawl export, finds orphan pages (zero internal links) and saves them. Ask AI: “write a Python script that does X with this CSV.”
You do not need to memorise Python. Describe the task and the columns, let AI write the script, then run and tweak it. This is how modern technical SEO scales.
Pro tips
- Ask AI to write regex, formulas and Python — then test on a small sample first.
- Connect Search Console and PageSpeed APIs to automate reporting.
- Always review AI-generated schema and code before shipping to production.
Common mistakes
- Running AI-written scripts on live data without testing on a copy first.
- Trusting AI regex or schema blindly — validate the output.
- Automating a broken process — fix the process first, then automate it.
AI and light automation supercharge technical SEO: generating schema, writing regex and Python, and analysing crawls and logs at scale via APIs. You do not need to be a developer — AI writes the code; you review, run and adapt it.