/paid-ad-copy-writer

name: paid-ad-copy-writer
description: >
  Write paid ad copy for affiliate offers across ad platforms. Triggers on:
  "write ad copy", "Facebook ad for affiliate", "Google Ads copy",
  "TikTok ad script", "Pinterest ad", "paid traffic to affiliate",
  "create ad campaign", "ad headlines", "ad descriptions",
  "scale with paid ads", "run ads for my affiliate link",
  "write Facebook ad", "Google Search ad copy".
license: MIT
version: "1.0.0"
tags: ["affiliate-marketing", "automation", "scaling", "workflow", "ads", "ppc", "copywriting"]
compatibility: "Claude Code, ChatGPT, Gemini CLI, Cursor, Windsurf, OpenClaw, any AI agent"
metadata:
  author: affitor
  version: "1.0"
  stage: S7-Automation

Paid Ad Copy Writer

Write paid ad copy for affiliate offers — Facebook Ads, Google Search Ads, Google Display Ads, TikTok Ads, and Pinterest Ads. Each output includes multiple ad variants, targeting suggestions, compliance notes, and campaign setup guidance. Output is platform-formatted ad copy ready to deploy.

Stage

S7: Automation — When organic content proves profitable, paid ads let you scale 10x faster. But affiliate ad copy has unique constraints: platform policies around affiliate links, FTC disclosure requirements, and the need to drive clicks to a landing page (not direct-link). This skill writes compliant, high-converting ad copy for each platform.

When to Use

• User wants to run paid traffic to affiliate offers
• User says "write ad copy", "Facebook ad", "Google Ads", "TikTok ad"
• User wants to scale a profitable organic campaign with paid media
• User has a landing page (from S4) and wants ads driving traffic to it
• User wants multiple ad variants for testing
• Chaining from S4 (landing page) → write ads pointing to the landing page

Input Schema

product:
  name: string                 # REQUIRED — product name
  description: string          # OPTIONAL — one-line product description
  reward_value: string         # OPTIONAL — commission info
  url: string                  # OPTIONAL — product URL (for research)
  key_benefits: string[]       # OPTIONAL — top 3 benefits

platform: string               # REQUIRED — "facebook" | "google_search" | "google_display"
                               # | "tiktok" | "pinterest"

audience:
  description: string          # REQUIRED — target audience
  pain_points: string[]        # OPTIONAL — problems the audience has
  demographics: string         # OPTIONAL — age, gender, interests

budget: string                 # OPTIONAL — daily/monthly budget (e.g., "$20/day")

landing_url: string            # OPTIONAL — destination URL (from S4 or a bridge page)
                               # Note: most platforms don't allow direct affiliate links

**Chaining context**: If S1 product data exists, pull name, benefits, commission. If S4 landing page was created, use its URL as `landing_url`.

Workflow

Step 1: Analyze Product and Audience

Gather product info and audience details. If `key_benefits` is not provided, infer from product name and description using training knowledge.

Identify:

• Primary value proposition
• Emotional triggers for the audience
• Competitive angle (what makes this product different)

Step 2: Select Ad Format

Each platform has specific formats:

**Facebook Ads**:

• Primary text (125 chars above fold, 500+ total)
• Headline (40 chars)
• Description (30 chars)
• CTA button (from predefined list)

**Google Search Ads**:

• Headlines (3 × 30 chars)
• Descriptions (2 × 90 chars)
• Sitelink extensions (4 × 25 chars + 35 char descriptions)

**Google Display Ads**:

• Short headline (30 chars)
• Long headline (90 chars)
• Description (90 chars)
• Business name

**TikTok Ads**:

• Video script (15-30 seconds)
• Hook (first 3 seconds)
• CTA overlay text
• Ad text (100 chars)

**Pinterest Ads**:

• Pin title (100 chars)
• Pin description (500 chars)
• Image text suggestions

Step 3: Write Ad Variants

Create 3-5 variants per platform, each testing a different angle:

• **Pain Point**: Lead with the problem
• **Benefit**: Lead with the outcome
• **Social Proof**: Lead with results/numbers
• **Curiosity**: Lead with an intriguing question or statement
• **Urgency**: Lead with a time-sensitive offer (only if real)

Step 4: Add Compliance Notes

Per platform:

• **Facebook**: "Paid Partnership" label if required. No misleading claims. Landing page must match ad claims. Affiliate links may be flagged — use a bridge/landing page.
• **Google**: Ad must match landing page content. No superlative claims without proof. Affiliate disclaimer on landing page required. Follow Google Ads affiliate policies.
• **TikTok**: #ad or Paid Partnership toggle. No medical/financial advice. Must feel native to platform.
• **Pinterest**: Disclosures in pin description. Must link to content page, not direct affiliate link.

Step 5: Suggest Targeting

Recommend targeting parameters:

• Interest-based audiences
• Lookalike audiences (if pixel data exists)
• Keyword targeting (Google)
• Demographic filters

Step 6: Budget Allocation

If budget is provided, suggest:

• Daily spend per variant (for A/B testing phase)
• When to kill underperformers (after 500+ impressions with <0.5% CTR)
• When to scale winners (after 3+ days of profitable ROAS)

Step 7: Self-Validation

Before presenting output, verify:

• [ ] 3-5 ad variants generated per platform
• [ ] Character counts within platform limits (Google: 30/90 headline/description, Facebook: 40/125/27000)
• [ ] No prohibited claims (income guarantees, before/after without evidence)
• [ ] CTA uses platform-native action verbs
• [ ] Test budget recommendation is realistic ($5-20/day per variant)

If any check fails, fix the output before delivering. Do not flag the checklist to the user — just ensure the output passes.

Output Schema

output_schema_version: "1.0.0"  # Semver — bump major on breaking changes
campaign:
  product: string
  platform: string
  n