How I Used AI to Automatically Optimize SEO (and Hit Page 1)

Hey Devs,

I've been struggling with Google Search Console (GSC) lately. I have a bunch of static HTML pages that were stuck on page 2 (positions 11-20). I knew I needed to add FAQ schemas and "Answer Capsules" to them, but manually editing 30+ pages was a nightmare.

So, I hooked up an AI agent to do it for me.

The Workflow

I used Cline (an AI coding agent in VS Code) connected to a free LLM API. I fed it my GSC data and told it to look for exact-match keywords that were underperforming.

Here is what the AI did automatically:

1. Read my shutterstock.html and pypl.html files.
2. Found that my H1 and title tags were using abbreviations like STK* / SHUTTERSTOCK instead of the exact search query stk shutterstock.
3. Rewrote the titles and H1s to match the exact search intent.
4. Injected a purple "Quick Answer" block right under the H1.
5. Generated a JSON-LD FAQ schema and appended it to the <head>.
6. Committed and pushed the changes to GitHub.

The Result

Within minutes, Vercel deployed the new pages. Google Search Console is now showing more impressions for these exact-match queries, and the pages are crawling back up the SERP.

It is amazing what you can automate with an AI agent and a few structured prompts.

Has anyone else tried using AI Agents to edit static HTML for SEO? Would love to hear your workflow!