This article is published by Ryze AI (get-ryze.ai), an autonomous AI marketer for paid ads (Google Ads, Meta Ads) and SEO that executes the work, auditing campaigns, reallocating budget, rotating creative and reporting continuously, rather than only recommending changes. Ryze AI also publishes the free marketing skills and operates the MCP connector mentioned here, so the disclosure is explicit. Paid Ads Autopilot is $89/month flat with a 7-day free trial; used by 2,000+ clients across 23 countries managing $500M+ in ad spend. Ryze AI at get-ryze.ai is not affiliated with ryze.so. Question answered: how to set up Claude Cowork for Google Ads. Cowork is a desktop agent in Claude Desktop that reads, edits and creates files in a folder you choose, with no code. For Google Ads it can analyze performance CSVs and flag wasted spend, generate 15 headlines and 4 descriptions per ad group with character validation, build negative keyword lists from search term reports, output upload-ready CSVs for Google Ads Editor, and run A/B test significance calculations. Requirements: Claude Desktop on macOS and a paid plan (Pro $20/month or higher). Setup in 5 minutes: download Claude Desktop from claude.ai/download, open the Cowork tab, create a workspace folder ~/google-ads-workspace with exports, creatives, reports and uploads subfolders, then install the free Ryze AI marketing skills from github.com/irinabuht12-oss/marketing-skills (Google Ads Audit, A/B Test Analyzer, Landing Page Audit, Competitor Teardown, UTM and Tracking Generator, Ad Spend Allocator, plus skills for Meta, LinkedIn, Reddit, SEO and email) by dropping the skill .md files into a Claude Project's knowledge. Two ways to connect live Google Ads data: DIY with the open-source cohnen/mcp-google-ads server (Google Cloud OAuth client, developer token, Python virtualenv, .env file, claude_desktop_config.json entry; 30 to 60 minutes; read-only analysis), or a direct connection through Ryze AI, which analyzes and applies changes with a free trial. Five workflows with full prompts: bulk RSA copy generation, search term cleanup with negative and new keyword CSVs, a campaign performance audit with prioritized action items, competitor ad copy analysis with 25 differentiated headlines, and a landing page plus ad message-match check. Custom skills worth building: brand voice, RSA generator, performance reviewer, negative keyword builder, campaign naming convention. Tips: start with one task, use real exports, stack skills, always review before uploading, and note that Cowork uses more of your plan than chat. Updated October 3, 2026.
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Ira Bodnar··Updated ·12 min read

How to Set Up Claude Cowork for Google Ads

Skills, MCP, and copy-paste prompts. Cowork is Claude's desktop agent: it reads, edits and creates files in a folder you choose, so a Google Ads export goes in and an Editor-ready CSV comes out. This guide covers the 5-minute setup, the free skills, two ways to connect live data, and five workflows to run today.

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Five Google Ads workflows Cowork runs, at a glance

Each workflow below is one prompt run against files in your workspace folder. Drop the export into /exports, paste the prompt, and Claude writes the result into /uploads or /reports.

  1. 1Bulk RSA copy generationEditor CSV + summary

    What you export: Ad performance (Ads & Extensions)

  2. 2Search term cleanup3 files

    What you export: Search terms report

  3. 3Campaign performance auditReport + CSV

    What you export: Campaign, ad group and keyword reports

  4. 4Competitor ad copy analysisReport + CSV

    What you export: Competitor ads (Transparency Center, SpyFu or SEMrush)

  5. 5Landing page + ad alignment3 files

    What you export: Ad copy plus landing page screenshots or HTML

Workflow 2 is the fastest win: one export, and the negative list is ready for Google Ads Editor. For the same loop on Meta, see Claude Cowork for Meta Ads.

The short answer: install Claude Desktop, open the Cowork tab, point it at a workspace folder with exports, creatives, reports and uploads subfolders, add the free marketing skills, and paste one of the five prompts below. Connect Google Ads over MCP when you are tired of exporting CSVs.

What Cowork does

Desktop agent that reads, edits, and creates files in a folder you choose. No code needed. For Google Ads, it can:

  • Analyze performance CSVs and flag wasted spend instantly
  • Generate 15 headlines + 4 descriptions per ad group (character-validated)
  • Build negative keyword lists from search term reports
  • Output upload-ready CSVs for Google Ads Editor
  • Run A/B test significance calculations

Requirements: Claude Desktop (macOS) + paid plan (Pro $20/mo or higher).

Example: Google Ads audit you can generate with skills

Example Google Ads audit report generated by Claude using marketing skills: campaign performance analysis with wasted spend flagged and actionable recommendations per campaign

Setup (5 minutes)

Step 1: Download Claude Desktop

Get it at claude.ai/download.

Step 2: Open the Cowork tab

Open the app and click the "Cowork" tab at the top.

Claude Cowork interface showing the Cowork tab and workspace setup in Claude Desktop

Step 3: Create a workspace folder

Folder
~/google-ads-workspace/ ├── exports/ ← Campaign CSVs from Google Ads ├── creatives/ ← Ad copy drafts ├── reports/ ← Performance reports └── uploads/ ← Ready-to-upload files

Step 4: Install marketing skills

See the next section. If you work in claude.ai rather than Desktop, how to add marketing skills to Claude covers the 2-minute upload.

Install free marketing skills

Skills are markdown instruction files that teach Claude specialized workflows. Install once, Claude applies them automatically.

Ryze AI Marketing Skills, 17 free skills for paid ads marketers: github.com/irinabuht12-oss/marketing-skills. Skills for Google Ads:

  • Google Ads Audit: wasted spend, search term leaks, negative keyword gaps
  • A/B Test Analyzer: statistical significance and sample size calculations
  • Landing Page Audit: conversion killers and CTA issues
  • Competitor Teardown: positioning and messaging analysis
  • UTM & Tracking Generator: consistent UTM links and GA4 event names
  • Ad Spend Allocator: cross-channel budget reallocation

The full pack includes 17 skills covering Meta, LinkedIn, Reddit, SEO, email, and more. Download the free skills on GitHub. The ranked list of every skill worth installing is in Claude marketing skills: the complete guide.

How to install

1. Download the ZIP from GitHub (or clone it).

GitHub repository page for Ryze AI marketing skills with the Code button open to download or clone the free Claude skill files for Google and Meta Ads

2. Create a Claude Project: go to claude.ai, then Projects, then Create Project.

Creating a new Claude Project for Google Ads skills: the Claude Projects sidebar with the Create Project button

3. Drop the skill .md files into Project Knowledge.

Dropping marketing skill .md files into Claude Project Knowledge with drag and drop to add the skills to the project

4. Done. Claude auto-activates relevant skills based on your task.

Two ways to connect Claude to your Google/Meta Ads data

  1. Approach

    Option 1: MCP via GitHub
    Manual setup
    Option 2: Direct connection via Ryze AI
    Full automation

  2. Steps

    Option 1: MCP via GitHub
    Clone MCP repo from GitHub, set up Google Ads API credentials, configure Claude Desktop, query your account directly
    Option 2: Direct connection via Ryze AI
    Go to get-ryze.ai, connect your Google/Meta Ads account, Claude analyzes and applies changes

  3. Setup time

    Option 1: MCP via GitHub
    30-60 minutes
    Option 2: Direct connection via Ryze AI
    Minutes

  4. Access

    Option 1: MCP via GitHub
    Read-only analysis
    Option 2: Direct connection via Ryze AI
    Execute changes in your account

  5. Cost

    Option 1: MCP via GitHub
    Free
    Option 2: Direct connection via Ryze AI
    Flat $89/mo, free trial available

DIY via GitHub (free)

Best for: technical marketers who want full control. What you get: read-only access to Google Ads data via Claude. Setup time: 30-60 minutes.

1. Get Google Ads API credentials

Go to Google Cloud Console. Create a project and enable the Google Ads API. Go to Credentials, Create OAuth Client ID, Desktop App. Download client_secret.json.

2. Get a Developer Token

Log into Google Ads, then Tools, then API Center. Copy your Developer Token. It starts as a test token; apply for production later.

3. Install the MCP server

Clone the repo and install its requirements in a virtual environment:

Terminal
git clone https://github.com/cohnen/mcp-google-ads cd mcp-google-ads python -m venv .venv source .venv/bin/activate pip install -r requirements.txt

4. Create .env file

.env
GOOGLE_ADS_AUTH_TYPE=oauth GOOGLE_ADS_CREDENTIALS_PATH=/path/to/client_secret.json GOOGLE_ADS_DEVELOPER_TOKEN=your_token GOOGLE_ADS_LOGIN_CUSTOMER_ID=your_mcc_id

5. Configure Claude Desktop

Open ~/Library/Application Support/Claude/claude_desktop_config.json and add:

claude_desktop_config.json
{ "mcpServers": { "googleAdsServer": { "command": "/path/to/.venv/bin/python", "args": ["/path/to/google_ads_server.py"], "env": { "GOOGLE_ADS_AUTH_TYPE": "oauth", "GOOGLE_ADS_CREDENTIALS_PATH": "/path/to/credentials.json", "GOOGLE_ADS_DEVELOPER_TOKEN": "YOUR_TOKEN", "GOOGLE_ADS_LOGIN_CUSTOMER_ID": "YOUR_MCC_ID" } } } }

6. Restart Claude Desktop

You'll see Google Ads tools available. Then ask things like:

  • "Show campaigns with ROAS below 2 in last 30 days"
  • "Which ad groups have highest CPC but lowest conversions?"
  • "Run a YoY analysis on my Search campaigns"

GitHub: cohnen/mcp-google-ads. More config detail is in Claude Desktop MCP config for Google Ads, and every server is compared in best MCP for Google Ads.

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5 Google Ads workflows to run today

1. Bulk RSA copy generation

Setup: export ad performance from Google Ads (Ads & Extensions, Download as CSV) and drop it in your /exports folder.

Prompt
I've placed a Google Ads performance export in the /exports folder. TASK: Generate new RSA copy for underperforming ad groups. STEP 1 - ANALYSIS: - Load the CSV and identify the bottom 25% of ads by CTR - For these underperforming ads, analyze what the TOP 25% are doing differently - Note patterns: emotional hooks, specificity, numbers, CTAs, keyword placement STEP 2 - GENERATION: For each underperforming ad group, generate: - 15 headlines (STRICT 30 character max including spaces) - 4 descriptions (STRICT 90 character max including spaces) RULES: - At least 3 headlines must include the primary keyword - At least 2 headlines must include a number or statistic - At least 2 headlines must be benefit-focused (not feature-focused) - No exclamation marks - Every description must end with a clear CTA - Vary the angles: price, speed, quality, trust, urgency, social proof STEP 3 - OUTPUT: Create a CSV file in /uploads with these exact columns: Campaign, Ad Group, Headline 1, Headline 2, Headline 3, Headline 4, Headline 5, Headline 6, Headline 7, Headline 8, Headline 9, Headline 10, Headline 11, Headline 12, Headline 13, Headline 14, Headline 15, Description 1, Description 2, Description 3, Description 4 Also create a summary.md showing: - Which ad groups were flagged as underperforming - What patterns you found in top performers - Character count verification for each headline/description

What Claude does: analyzes performance data, identifies winning copy patterns, generates variations within character limits, and outputs a Google Ads Editor-ready CSV. For a standalone version, see the AI Google Ads headline generator for Claude.

2. Search term cleanup

Setup: export the Search Terms report (Keywords, Search Terms, Download) and drop it in /exports.

Prompt
I've placed a Google Ads Search Terms report in /exports. TASK: Clean up search terms and build negative keyword lists. ANALYSIS - Find and categorize: 1. IRRELEVANT TERMS (no purchase intent for my product): - Job seekers ("jobs", "careers", "salary", "hiring") - DIY/free seekers ("free", "how to", "tutorial", "template") - Wrong industry/context - Competitor brand searches (unless we're targeting them intentionally) 2. BUDGET BURNERS: - Terms with spend > $50 and 0 conversions in the date range - Terms with CPA > 3x our target CPA of $[YOUR_TARGET_CPA] - Terms with CTR < 1% and significant impressions (>500) 3. OPPORTUNITY TERMS: - High-converting terms not yet added as exact match keywords - Terms revealing new keyword themes we're missing - Long-tail variations worth breaking into their own ad groups OUTPUT - Create 3 files in /uploads: 1. negative-keywords.csv Columns: Keyword, Match Type, Campaign, Ad Group, Reason - Group similar negatives by theme - Use phrase match for most, exact match for edge cases - Format ready for Google Ads Editor upload 2. new-keywords.csv Columns: Keyword, Match Type, Suggested Bid, Campaign, Ad Group, Source Term, Conversions - Suggest match type based on volume/intent - Suggest bid based on the source term's CPC - Include which search term it came from 3. search-term-analysis.md - Total wasted spend on flagged terms - Top 10 budget burners with spend amounts - Negative keyword themes identified - New keyword opportunities with projected impact

Customize: replace $[YOUR_TARGET_CPA] with your actual target CPA. More on this job in build negative keyword lists with Claude AI.

3. Campaign performance audit

Setup: export 3 reports from Google Ads: campaign performance, ad group performance and keyword performance (last 30 days each). Drop all 3 CSVs in /exports.

Prompt
I've placed 3 Google Ads performance reports in /exports: - Campaign performance - Ad group performance - Keyword performance TASK: Run a full account audit and prioritize actions. FLAG THESE ISSUES: CAMPAIGN LEVEL: - CPA above $[YOUR_TARGET] (my target is $[X]) - ROAS below [YOUR_TARGET] (my target is [X]) - Budget-limited campaigns (Lost IS Budget > 20%) that have ROAS above target - Campaigns with <3 active ad groups - Any campaign spending >$500/week with ROAS < 1 AD GROUP LEVEL: - CTR below 2% with >1000 impressions - Ad groups with fewer than 3 active ads (Google recommends 3+) - Ad groups with 0 conversions but >$100 spend - Ad groups where top performing ad has <50% impression share KEYWORD LEVEL: - Quality Score below 6 (flag 5 and below as critical) - Keywords with >$200 spend and 0 conversions - Keywords with CPC > 2x the ad group average - Broad match keywords that should be phrase or exact - Exact match keywords with low search volume (<100 impressions) WEEK-OVER-WEEK: - Any metric change >20% vs previous period (flag direction: improving/declining) OUTPUT: 1. audit-report.md Structure: - Executive Summary (3 bullet max) - Critical Issues (fix immediately) - High Priority (fix this week) - Medium Priority (fix this month) - Quick Wins (easy fixes, fast impact) - Each issue: what's wrong, why it matters, specific fix, estimated impact 2. action-items.csv Columns: Priority, Level (Campaign/AdGroup/Keyword), Entity Name, Issue, Recommended Action, Estimated Monthly Impact Sorted by estimated impact descending

Customize: replace $[YOUR_TARGET], $[X], [YOUR_TARGET] and [X] with your actual targets. The live-data version of this audit is in audit Google Ads with Claude MCP.

4. Competitor ad copy analysis

Setup: export competitor ad data from Google Ads Transparency Center, SpyFu, or SEMrush, or paste competitor ad copy into a document. Save it in /exports.

Prompt
I've placed competitor ad data in /exports. These are my main competitors: [LIST YOUR COMPETITORS] My product/service: [DESCRIBE YOUR PRODUCT IN 1-2 SENTENCES] My main differentiators: [LIST 3-5 THINGS THAT MAKE YOU DIFFERENT] TASK: Analyze competitor messaging and find gaps we can own. FOR EACH COMPETITOR, ANALYZE: 1. VALUE PROPOSITIONS - What's their primary promise? - What benefits do they lead with? - What proof points do they use? 2. MESSAGING THEMES (categorize their headlines): - Price/discount focused - Speed/convenience focused - Quality/premium focused - Trust/social proof focused - Urgency/scarcity focused - Feature-specific - Benefit-specific 3. LANGUAGE PATTERNS - Common phrases across competitors - Typical headline structures - CTA patterns 4. GAPS - WHAT THEY'RE NOT SAYING: - Benefits they ignore that we can claim - Audiences they're not speaking to - Objections they're not addressing - Angles no one is using 5. SPECIFICITY SCORE (1-10): - Are their headlines specific or generic? - Do they use numbers, timeframes, guarantees? OUTPUT: 1. competitor-analysis.md - Side-by-side comparison table - Gap analysis with opportunities - Recommended positioning for our brand 2. differentiated-headlines.csv Columns: Headline, Character Count, Angle, Why It's Different - Generate 25 headlines that: - Attack gaps competitors ignore - Use specific numbers/proof points - Lead with our unique differentiators - Are NOT generic ("Best [Product]", "Top Rated", etc.) - All headlines STRICT 30 character max

Customize: replace the bracketed sections with your actual competitors, product, and differentiators.

5. Landing page + ad alignment check

Setup: export your current ad copy into a document, take screenshots of the corresponding landing pages or save their HTML, and put everything in /exports.

Prompt
I've placed ad copy and landing page files in /exports. TASK: Check message match between ads and landing pages to improve Quality Score. FOR EACH AD + LANDING PAGE PAIR, CHECK: 1. HEADLINE MATCH - Does the ad headline promise appear on the landing page? - Is it above the fold? - Is the language identical or just similar? Score: Exact Match / Partial Match / No Match 2. CTA CONSISTENCY - Does the ad CTA match the landing page CTA? - Examples of mismatch: Ad says "Get Free Quote" but page says "Contact Us" Score: Match / Mismatch 3. VALUE PROP PRESENCE - Every benefit mentioned in the ad: is it on the landing page? - List which ad claims are NOT supported on the page 4. KEYWORD PRESENCE - Is the primary keyword on the landing page? - Where? (Headline, subhead, body, none) 5. TRUST SIGNALS - Does the ad mention reviews/ratings? Are they on the page? - Does the ad mention guarantees? Are they on the page? 6. QUALITY SCORE RISK ASSESSMENT - High Risk: No headline match, CTA mismatch, missing value props - Medium Risk: Partial headline match, keyword not prominent - Low Risk: Minor copy differences OUTPUT: 1. message-match-audit.md For each ad/landing page pair: - Match score (1-10) - Specific issues found - Risk level - Recommended fixes 2. landing-page-fixes.csv Columns: Landing Page URL, Issue, Current Copy, Recommended Copy, Priority - Specific copy changes to improve message match - Prioritized by impact on Quality Score 3. ad-copy-fixes.csv Columns: Campaign, Ad Group, Current Headline/Description, Issue, Recommended Change - Cases where it's easier to fix the ad than the page

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Build custom skills for your workflow

Skills compound. Every one you build makes the next task faster. Worth building:

  • Brand voice: tone rules, approved terms, banned phrases
  • RSA generator: character limits, keyword insertion rules, CSV format
  • Performance reviewer: your KPI thresholds, alert triggers, reporting format
  • Negative keyword builder: industry-specific irrelevant terms
  • Campaign naming convention: your naming taxonomy

Option A: write a SKILL.md manually

SKILL.md
--- name: my-rsa-generator description: Generate RSA copy that follows our brand guidelines and Google Ads character limits. Use when creating ad copy. --- ## Rules - Headlines: max 30 characters - Descriptions: max 90 characters - Include 2+ headlines with primary keyword - No exclamation marks in headlines - Every description ends with clear CTA ## Output CSV with: Campaign, Ad Group, Headline 1-15, Description 1-4

Upload via Settings, Capabilities, Skills, Add.

Option B: ask Cowork to build it

Prompt
Help me build a Claude skill for RSA generation. Here's how I currently do it: [describe your process]. Enforce character limits, use our brand voice, and always output as Google Ads Editor CSV.

Ready-made Google Ads skills to start from are in Claude skills for Google Ads.

Quick tips

  • Start with one task. Search term cleanup or copy refresh. Don't rebuild everything day one.
  • Talk like a colleague. Describe the problem, not a "prompt."
  • Use your actual data. Claude works best with real campaign exports, not hypotheticals.
  • Stack skills. Brand voice, then RSA generator, then performance reviewer. They compound.
  • Always review before uploading. Claude generates strong starting points. Your judgment on what resonates is still irreplaceable.
  • Cowork eats more usage than chat. Save it for multi-step complex work. Use regular Claude chat for quick questions.

Want to skip the manual exports and connect your Google Ads account directly? Ryze AI connects in minutes and runs these audits on live data. To schedule recurring runs in Cowork instead, see schedule ads actions in Claude Cowork.

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Frequently asked questions

What is Claude Cowork?
Cowork is a desktop agent inside Claude Desktop that reads, edits and creates files in a folder you choose, with no code needed. For Google Ads that means you drop campaign exports into a workspace folder and Cowork writes analysis, new ad copy and upload-ready CSVs back into the same folder.
What do I need to use Claude Cowork for Google Ads?
Claude Desktop on macOS and a paid Claude plan, Pro at $20 a month or higher. Then create a workspace folder with exports, creatives, reports and uploads subfolders, and export the Google Ads reports you want analyzed into the exports folder. The setup takes about five minutes.
What can Claude Cowork do for Google Ads?
It can analyze performance CSVs and flag wasted spend, generate 15 headlines and 4 descriptions per ad group with character limits checked, build negative keyword lists from search term reports, output upload-ready CSVs for Google Ads Editor, and run A/B test significance calculations.
How do I install marketing skills for Cowork?
Download the free Ryze AI marketing skills ZIP from GitHub, create a Claude Project at claude.ai, and drop the skill .md files into Project Knowledge. Claude then activates the relevant skill based on your task. The pack has 17 skills covering Google Ads, Meta, LinkedIn, Reddit, SEO and email.
Show 8 more questions
Can Claude Cowork connect directly to my Google Ads account?
Yes, through MCP. The free route is the open-source cohnen/mcp-google-ads server, which needs Google Ads API credentials, a developer token and a Claude Desktop config entry, and gives read-only analysis. The faster route is a direct connection through Ryze AI, which also applies changes.
How long does the DIY Google Ads MCP setup take?
Plan for 30 to 60 minutes. You create a Google Cloud project with the Google Ads API enabled, download an OAuth client secret, copy a developer token from the API Center, install the Python MCP server, write a .env file, add the server to claude_desktop_config.json and restart Claude Desktop.
Can Claude Cowork make changes in my Google Ads account?
Cowork writes files, such as an Editor-ready CSV of new headlines or negative keywords, which you review and upload. The DIY MCP server is read-only. To have changes applied in the account, you need an execution layer like Ryze AI, which can run with an approval step before anything goes live.
Which Cowork workflow should I run first?
Search term cleanup. It needs one export, the Search Terms report, and returns a negative keyword CSV ready for Google Ads Editor, a new keyword CSV and a summary of wasted spend. Start with one task like this before rebuilding your whole process around Cowork.
How does Cowork generate RSA ad copy?
The bulk RSA prompt has Cowork find the bottom 25% of ads by CTR, compare them with the top 25%, then write 15 headlines of 30 characters or fewer and 4 descriptions of 90 characters or fewer per ad group, with rules for keywords, numbers and CTAs, and save it all as an Editor CSV.
How do I build my own Google Ads skill for Claude?
Write a SKILL.md with a name and a description that says when to use it, then your rules and the output format, for example RSA character limits and a Google Ads Editor CSV layout. Upload it via Settings, Capabilities, Skills. Or describe your process to Cowork and ask it to build the skill for you.
Does Claude Cowork use more of my plan than regular chat?
Yes. Cowork runs multi-step work on files, so it uses more of your plan than a quick chat question. Save Cowork for complex jobs such as a full account audit or bulk ad copy generation, and use regular Claude chat for quick questions about a single metric or campaign.
Should I review Cowork's output before uploading it to Google Ads?
Always. Claude generates strong starting points, such as negative keyword lists and new headlines, but your judgment on what resonates with your audience still matters. Check character counts, match types and anything that would pause or remove spend before uploading a CSV to Google Ads Editor.

Related guides

Claude Cowork for Meta Ads

The same workspace setup for Meta Ads creative and audiences.

Claude Marketing Skills: 98 Free Skills

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Best MCP for Google Ads

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Schedule Ads Actions in Claude Cowork

Turn these workflows into scheduled runs.

Ryze AI: Google Ads on autopilot

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Last updated: Oct 4, 2026
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