Integrating AI into SEO Testing Workflows
Going over some things I talked about on Kick Point Playbook's webinar
Let’s be real, SEO testing takes time. Between pulling data, cleaning it up, and building reports, you can easily spend hours before even getting to the actual insights.
AI helps speed that up. By using it in different parts of your workflow, you can automate the time-consuming tasks and spend more time thinking through your hypotheses and analyzing results. Here’s a rundown of what I went over in the webinar:
Automating Data Extraction While Maintaining Data Privacy
Don’t input your raw data into ChatGPT. Instead, use it to write Python code you can run locally or in Google Colab. You can get it to write scripts to help you clean and filter data using the GSC API or by pulling data from Ahrefs, Semrush, or other tools.
This can help you reduce time sorting and filtering in spreadsheets that take forever to load.
You can check out the notebook example I created and walked through in the webinar to see the kinds of things you can do to get started. I come from a 0 code background and while I ran into issues when I first got started using ChatGPT and Claude to write Python scripts, you can always ask it to help you fix the errors!
Hypothesis Generation & Testing Ideas
Some tools already have ChatGPT integrated into their system. If you’re using SEOTesting.com, you can generate title tags, meta descriptions, H1s, and content ideas.
Or if you’re using Microsoft Clarity, it has CoPilot integrated into the tool to help you go through data faster. You can get summaries on sessions recordings, different heatmaps, and even chat with CoPilot and ask it to grab specific data for you.
Smarter Implementation Support
GPT for Sheets: Automate the repetitive tasks, like generating meta data at scale.
Schema Advisor: Custom GPTs like these are super helpful with generating what you need to get started with a test. You can use Schema Advisor to help you generate structured data.
Better Reporting
Ask for help choosing the best charts for your data and creating clear visuals. If you’re using Python to help organize the data, you can also use it to help you create charts, bar graphs, etc.
It’s also helpful to explain the report and who it’s for to get advice on where visuals can be helpful.
The End
AI can’t replace your experience and knowledge of the client's site, but it can make your workflows more efficient, scalable, and faster. Use it to handle the tedious stuff so you can stay focused on testing and optimizing what truly matters.
