Google Ads AI tutorials

A numbered how-to: start free, add the AdCopilot MCP connector URL in ChatGPT and Claude, sign in with Google, and run your first command.

How write approvals surface in Claude, ChatGPT and CLI clients, which Google Ads actions to keep gated, and who should approve what on a team.

Build PMax by prompt: brand assets, a paused campaign, then a complete asset group — headlines, images, logos — reviewed in the UI before enabling.

Add a Google Ads MCP connector to Cursor — the mcp.json shape, where it lives, how tool approvals behave, and how to run ads work beside your code.

Connect Gemini CLI to Google Ads with one JSON block — httpUrl, not url — then verify with /mcp, run first prompts, and handle the quirks.

Install the AdCopilot plugin in Claude Code, run Google Ads audits beside your codebase, and script read-only weekly checks with -p mode.

From brief to live with an AI agent: create a paused search campaign, ad group, RSA and keywords by prompt, review in the Google Ads UI, then enable.

40 copy-paste prompts for AI Google Ads work — audits, negatives, campaign builds, budgets, reporting — plus the three habits that keep writes safe.

Five prompts every Monday: week-over-week numbers, search-term sweep, budget pacing, ad health, one improvement — with rules for what to approve.

A 10-minute weekly workflow: pull costed search terms with an AI agent, classify them, and add approved negatives — with the exact prompts.

Google Ads MCP connector troubleshooting: no tools listed, account limits after the trial, revoked access, wrong account, rate limits — each with its fix.

A 30-minute audit script for an AI agent connected to Google Ads: six prompt steps, what each answer means, and what to do about what it finds.

A day-by-day playbook for the first seven days with an AI Google Ads agent: read-only questions, then zero-spend writes, then approved spend changes.