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:

Read my shutterstock.html and pypl.html files.

Found that my H1 and title tags were using abbreviations like STK* / SHUTTERSTOCK instead of the exact search query stk shutterstock .

Rewrote the titles and H1s to match the exact search intent.

Injected a purple "Quick Answer" block right under the H1.

Generated a JSON-LD FAQ schema and appended it to the <head> .

Committed and pushed the changes to GitHub.

The Result

Within minutes, Vercel deployed the new pages.…