---
title: Google Ads API — AI Automation Tools
type: article
created: '2025-09-30'
updated: '2025-09-30'
source_docs:
- raw/2025-09-30-ops-sync-90781428.md
tags:
- ai-tools
- google-ads
- automation
- google-search-console
- google-tag-manager
- in-development
layer: 2
client_source: null
industry_context: null
transferable: true
---

# Google Ads API — AI Automation Tools

## Overview

Mark is actively developing a suite of AI-powered tools that connect directly to the Google Ads API and Google Search Console. The goal is to enable natural-language querying of client ad account performance — removing the need to manually navigate dashboards for routine analysis and auditing tasks.

As of the September 30, 2025 ops sync, these tools are described as near completion.

## Capabilities (In Development)

### Google Ads Performance Summaries
Query a client's Google Ads account in plain language and receive a structured performance summary. Example prompt:

> *"Go to Google Ads for Blue Sky Capital and summarize their performance over the last week."*

The AI will surface key metrics, trends, and anomalies — going beyond what a manual review might catch.

### Conversion Tracking Validation
Ask the tool to verify whether Google Tag Manager is firing correctly and whether conversions are being reported accurately. This addresses a recurring operational pain point: in the September 30 sync, Mark noted that American Extraction's ads were not running for over a week without anyone catching it. Automated auditing would flag this kind of issue proactively.

> *"Is Google Tag Manager tagging everything properly? Are conversions being reported properly?"*

### Google Search Console SEO Summaries
Similar natural-language querying for SEO performance:

> *"Go to Google Search Console and summarize the SEO performance of this website."*

## Motivation

The impetus for this tooling is twofold:

1. **Accountability gaps** — Manual monitoring has proven unreliable. Client-facing issues (e.g., ads not running, campaigns underperforming) have gone undetected for days or weeks. Automated AI-driven audits reduce dependence on individual team members catching problems.
2. **Analyst leverage** — The AI is described as "a lot smarter than I am" at pattern recognition across large account datasets, surfacing insights that might be missed in a manual review.

## Status

- **In development** by Mark Hope as of 2025-09-30
- Described as "very close" to completion
- Planned to be demonstrated at the upcoming AI professional development session (October 2025)

## Related

- [[wiki/knowledge/ai-tools/ai-tool-selection-guide]] — Overview of when to use NotebookLM, Claude, Perplexity, Gemini, and ChatGPT
- [[wiki/knowledge/ai-tools/multi-model-cross-checking]] — Technique for bouncing outputs across AI tools to improve quality
- [[wiki/meetings/2025-09-30-ops-sync]] — Source meeting where this was discussed
- [[wiki/knowledge/operations/team-accountability]] — Broader accountability concerns that motivate automated monitoring