Claude Code exports reviewed Google Ads copy
Lau reports a Claude Code RSA workflow that checks campaign inputs against brand and product skills, refines ad copy with him and exports a manually reviewed Google Ads CSV.
claude.com
Original prompt
Shared by the source author. See source notes for context.
/rsa
Reach people exploring AI agents
See placements →Evidence at a glance
Sourced account- Source author
- Anthropic interview with Austin Lau
- Original account
- Read the source ↗
- Published
- Source link checked
- Reported result
- Lau reports a Claude Code RSA workflow that checks campaign inputs against brand and product skills, refines ad copy with him and exports a manually reviewed Google Ads CSV.
- Human involvement
- Lau reviews and refines the copy, with human-written brand and product references. The source explicitly retains manual review before Google Ads upload.
A linked account supports attribution. It does not mean we independently reproduced its result.
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How the agent did it
- Start the custom responsive-search-ad command in Claude Code.
- Supply campaign data, existing copy and keywords.
- Apply brand, product-accuracy and ad-writing skills.
Austin Lau, a growth marketer at Anthropic, builds a Claude Code workflow for responsive search ads. It starts with his custom slash command and asks for campaign data, existing copy and keywords. The assistant cross-references those inputs with skills covering brand voice, product accuracy and ad-writing practices.
Lau then refines the proposed headlines and descriptions conversationally. He evaluates whether the value proposition fits the audience, whether the tone is right and whether the message stands out. The source emphasises that approved examples and copy were created with product-marketing and copywriting colleagues before the agent used them as references.
Once the copy is ready, Claude Code assembles an upload-ready CSV containing campaign and ad-group fields, fifteen headlines and four descriptions per ad. Manual review precedes upload. The article is Anthropic's interview with its own marketer, so reported time savings are not an independent benchmark or evidence of improved ad conversion. The useful workflow gives the agent both performance context and explicit product-and-voice constraints, then preserves a human creative judgment step. The original prompt shown below is the actual command used to begin this process, not the complete skill definition.
Prompt
Original prompt
Source: Blog · Anthropic interview with Austin Lau
Frequently asked questions
What inputs shape the drafts?
Campaign data, existing copy and keywords, checked against brand voice, product accuracy and RSA-practice skills.
What does the export contain?
Campaign and ad-group fields, fifteen headlines and four descriptions per ad in a CSV file.
Does the agent upload without review?
No. The source says the export undergoes manual review before being uploaded to Google Ads.
More details
Remaining steps
- Refine proposed headlines and descriptions with the marketer.
- Export the CSV and manually review it before upload.
About this account
Claude Code retrieves campaign inputs, applies reusable skills, iterates on copy and assembles a structured upload-ready file under the marketer’s direction.
Firsthand account by Anthropic interview with Austin Lau; original publication date verified against Primary article date January 26, 2026. Outcomes are the author’s reports, not independently reproduced. Original custom command shared by Austin Lau; the full skill and campaign inputs are not reproduced.
Credit: Anthropic interview with Austin Lau
Source published
Added to Agents In Use
Source checked
Tools and topics
Claude Code · Agent Skills · Campaign data · Google Ads CSV
Responsive search ads · Brand accuracy · Reviewed export
Editorial completeness: 100/100. Measures documented fields, not agent performance or verified outcomes.