
Ad Copy Generation
Generate Google responsive search ad (RSA) headlines and descriptions tuned for ad strength, CTR, and policy compliance from your agent workflow.
Overview
Ad Copy Generation is an agent skill for the Launch phase that produces policy-compliant Google RSA headlines and descriptions using performance-calibrated generation and testing workflows.
Install
npx skills add https://github.com/itallstartedwithaidea/agent-skills --skill ad-copy-generationWhat is this skill?
- RSA pipeline: up to 15 headlines (30 chars) and up to 4 descriptions (90 chars) with editorial policy checks
- Copy frameworks: AIDA, PAS, and benefit-driven messaging with optional dynamic keyword insertion
- Ad strength scoring before submission plus pin strategies for controlled assembly
- Lifecycle: competitive gap analysis, A/B variants, significance testing, and winner scaling
- Calibrated against large-scale ad performance data points per skill positioning
- Up to 15 headlines (max 30 characters each)
- Up to 4 descriptions (max 90 characters each)
Adoption & trust: 1 installs on skills.sh; 18 GitHub stars; 2/3 security scanners passed (skills.sh audits); trending (+100% hot-view momentum).
What problem does it solve?
You need many strong, character-limited RSA variants fast without guessing what Google will rate as high ad strength.
Who is it for?
Indie SaaS or ecommerce builders launching or scaling search campaigns who want agent-assisted RSA batches and structured A/B iteration.
Skip if: Organic-only SEO content, non-Google ad formats, or builders with no offer, keywords, or landing page to anchor ads.
When should I use this skill?
You need high-performance Google RSA copy with frameworks, scoring, and lifecycle management.
What do I get? / Deliverables
You get scored headline and description sets with frameworks, pins, and test variants ready to load into Google Ads or feed into performance pruning loops.
- RSA headline and description variant sets
- Ad strength–scored submissions
- A/B test matrices and winner-scale recommendations
Recommended Skills
Journey fit
Paid search copy is a launch-time distribution artifact once you know offer and keywords, not a pre-build coding task. Distribution covers paid channels like Google Ads where RSA assembly and pinning strategy live.
How it compares
Generator for Google RSA lifecycle—not a general landing-page copy or SEO article skill.
Common Questions / FAQ
Who is ad-copy-generation for?
Solo builders and small teams using AI coding agents who run or plan Google Search campaigns and need RSA copy at scale.
When should I use ad-copy-generation?
At Launch when preparing paid search distribution, refreshing creatives during Grow tests, or when competitive ad analysis suggests new messaging gaps.
Is ad-copy-generation safe to install?
It may integrate with ads APIs and external data services; review the Security Audits panel on this Prism page and scope API credentials minimally.
SKILL.md
READMESKILL.md - Ad Copy Generation
# Ad Copy Generation Part of [Agent Skills™](https://github.com/itallstartedwithaidea/agent-skills) by [googleadsagent.ai™](https://googleadsagent.ai) ## Description The Ad Copy Generation skill produces high-performance responsive search ad (RSA) copy using AI-driven generation pipelines calibrated against millions of ad performance data points. It generates headlines (up to 15, max 30 characters each) and descriptions (up to 4, max 90 characters each), optimizing for ad strength, click-through rate, and conversion relevance while adhering to Google Ads editorial policies. The generation engine applies proven copywriting frameworks including AIDA (Attention, Interest, Desire, Action), PAS (Problem, Agitate, Solve), and benefit-driven messaging. It incorporates dynamic keyword insertion (DKI) syntax where appropriate, manages pin strategies for controlled ad assembly, and generates systematic A/B testing variants. Each ad variant is scored against Google's ad strength criteria before submission. Beyond generation, the skill manages the full ad copy lifecycle: competitive ad analysis to identify messaging gaps, performance-based variant pruning, statistical significance testing for A/B experiments, and automated winner scaling. It integrates with the Buddy™ platform to learn from historical performance data, continuously improving generation quality for each specific account and industry vertical. ## Use When - User asks to "write ad copy" or "generate ads" - User wants "new headlines" or "new descriptions" for RSAs - User mentions "ad strength" improvement - User asks for "A/B test variants" or "ad testing" - User wants to "improve click-through rate" on ads - User mentions "responsive search ads" or "RSA optimization" - User asks about "dynamic keyword insertion" or "DKI" - User wants "pin strategy" recommendations - User asks to "refresh stale ad copy" or "combat ad fatigue" ## Architecture ```mermaid flowchart TD A[Input: Keywords, Landing Page, USPs] --> B[Context Analysis] B --> C[Landing Page Scraper] B --> D[Keyword Intent Classifier] B --> E[Competitor Ad Analyzer] C --> F[Message Map Builder] D --> F E --> F F --> G[AI Generation Engine] G --> H[Headline Generator\nmax 30 chars x 15] G --> I[Description Generator\nmax 90 chars x 4] H --> J[Policy Compliance Check] I --> J J --> K[Ad Strength Scorer] K -->|Excellent| L[Final Ad Variants] K -->|Good| L K -->|Average| M[Regenerate with Feedback] K -->|Poor| M M --> G L --> N[Pin Strategy Optimizer] N --> O[A/B Test Plan] O --> P[Deploy to Google Ads] ``` ## Implementation Core ad copy generation with character limit enforcement and DKI support: ```javascript const HEADLINE_MAX_LENGTH = 30; const DESCRIPTION_MAX_LENGTH = 90; const MAX_HEADLINES = 15; const MAX_DESCRIPTIONS = 4; const COPYWRITING_FRAMEWORKS = { AIDA: ['attention', 'interest', 'desire', 'action'], PAS: ['problem', 'agitate', 'solve'], BENEFIT: ['primary_benefit', 'secondary_benefit', 'proof', 'cta'] }; async function generateAdCopy(config) { const { keywords, landingPageUrl, usps, industry, targetAudience } = config; const landingPageContent = await scrapeLandingPage(landingPageUrl); const competitorAds = await analyzeCompetitorAds(keywords); const intentSignals = classifyKeywordIntent(keywords); const headlines = await generateHeadlines({ keywords, usps, competitorAds, intentSignals, landingPageContent, maxLength: HEADLINE_MAX_LENGTH, count: MAX_HEADLINES }); const descriptions = await generateDescriptions({ keywords, usps, landingPageContent, maxLength: DESCRIPTION_MAX_LENGTH, count: MAX_DESCRIPTIONS }