Paid Ad Copy Writer logo

Paid Ad Copy Writer

Organization
Affitor
paid-ad-copy-writer

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".

Overview

PublisherAffitor
Repositoryaffiliate-skills
Skill namepaid-ad-copy-writer
Stars
705
Forks
209
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Affitor on GitHub. Read the source before you install it.

Installation

Install the Paid Ad Copy Writer AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Affitor/affiliate-skills/tree/main/skills/automation/paid-ad-copy-writer
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Affitor/affiliate-skills.git /tmp/affiliate-skills
mkdir -p .claude/skills
cp -r /tmp/affiliate-skills/skills/automation/paid-ad-copy-writer .claude/skills/paid-ad-copy-writer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Paid Ad Copy Writer in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Paid Ad Copy Writer on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Paid Ad Copy Writer is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

yaml
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

yaml
output_schema_version: "1.0.0"  # Semver — bump major on breaking changes
campaign:
  product: string
  platform: string
  num_variants: number
  landing_url: string

variants:
  - label: string              # "Variant A: Pain Point", etc.
    angle: string              # the approach used
    copy:
      headline: string         # or headlines[] for Google
      description: string      # or descriptions[] for Google
      primary_text: string     # Facebook only
      cta: string
      video_script: string     # TikTok only
    character_counts: object   # per field

compliance:
  notes: string[]              # platform-specific requirements
  warnings: string[]           # things that might get the ad rejected

targeting:
  interests: string[]
  demographics: string
  keywords: string[]           # Google only

budget_suggestion:
  test_phase: string           # e.g., "$10/day per variant for 5 days"
  scale_phase: string          # e.g., "Increase winning variant to $50/day"
  kill_criteria: string        # when to stop a variant

Output Format

  1. Campaign Overview — product, platform, landing URL
  2. Ad Variants — each variant with full copy in platform format
  3. Compliance Checklist — platform-specific requirements and warnings
  4. Targeting Suggestions — interests, demographics, keywords
  5. Budget Guide — test and scale strategy

Error Handling

  • No landing URL: "Most ad platforms don't allow direct affiliate links. I recommend creating a landing page first with S4 (landing-page-creator) and using that as your ad destination."
  • Unknown platform: "I support Facebook, Google Search, Google Display, TikTok, and Pinterest ads. Which platform would you like ad copy for?"
  • Product with strict ad policies (supplements, finance): "This product category has strict advertising policies on [platform]. I'll write compliant copy, but review your ad account's specific restrictions before publishing. Avoid health/income claims."

Examples

Example 1: Facebook ad for SaaS product

User: "Write Facebook ads for HeyGen targeting content creators. My landing page is example.com/heygen-review" Action: 3 variants. Variant A (pain point): "Spending hours editing videos? HeyGen creates professional AI videos in minutes." Variant B (benefit): "Create studio-quality videos without a camera. 50+ AI avatars, any language." Variant C (social proof): "10,000+ creators switched to HeyGen. Here's why." Each with headline, description, CTA. Include Facebook compliance notes.

Example 2: Google Search ads

User: "Google Search ads for Semrush targeting 'best SEO tools'" Action: 5 headline + 2 description combinations. H1: "Best SEO Tool for 2026" (30 chars). H2: "Try Semrush Free Today" (22 chars). H3: "Trusted by 10M+ Marketers" (25 chars). D1: "Complete SEO toolkit: keyword research, site audit, backlink analysis. Start your free trial." D2: "Outrank your competitors with data-driven SEO. 7-day free trial, no card required." Plus sitelink extensions.

Example 3: TikTok ad script

User: "Write a TikTok ad for Notion targeting college students" Action: 30-second script. Hook (0-3s): "POV: You just discovered the app that replaced 5 other apps." Middle (3-20s): Show use cases (notes, calendar, to-do, project tracker). CTA (20-30s): "Link in bio for the student discount." #ad disclosure. Include compliance notes about TikTok's policies on educational content promotions.

References

  • shared/references/ftc-compliance.md — FTC disclosure requirements for paid advertising. Read in Step 4.
  • shared/references/affiliate-glossary.md — Ad terminology (ROAS, CTR, CPC). Referenced in budget guide.
  • shared/references/flywheel-connections.md — master flywheel connection map

Revenue & Action Plan

Expected Outcomes

  • Revenue potential: Paid ads are the fastest way to scale a profitable affiliate funnel. If your organic funnel converts at $2 EPC, and your CPC is $0.50, you're making $1.50 profit per click. At 100 clicks/day = $150/day = $4,500/month profit
  • Benchmark: Profitable affiliate ad campaigns typically achieve 2-4x ROAS (Return On Ad Spend). Below 1.5x ROAS = unprofitable. Above 3x ROAS = scale aggressively
  • Key metric to track: ROAS (revenue from commissions / ad spend). Secondary: CPC (cost per click), CTR (click-through rate), and conversion rate on landing page

Do This Right Now (15 min)

  1. Launch a test campaign with your top 2 ad variants at $10/day each
  2. Set the destination URL to your landing page (from landing-page-creator), NOT a direct affiliate link
  3. Set a kill rule: if a variant has 500+ impressions and <0.5% CTR after 48 hours, pause it
  4. Set a scale rule: if a variant achieves 2x+ ROAS after 5 days, increase budget by 50%

Track Your Results

After 48 hours: kill any variant with <0.5% CTR. After 5 days: is any variant profitable (ROAS > 1.5x)? If yes, scale it by increasing daily budget. If no variant is profitable, test new angles — the ad copy may not match the audience's pain point. Never scale a losing campaign.

Next step — copy-paste this prompt: "Set up conversion tracking for my ad campaign landing page" → runs conversion-tracker

Flywheel Connections

Feeds Into

  • conversion-tracker (S6) — ad links to track conversions
  • ab-test-generator (S6) — ad copy variants for testing

Fed By

  • affiliate-program-search (S1) — product data for ad copy
  • grand-slam-offer (S4) — offer framing for ad messaging
  • landing-page-creator (S4) — landing page URL as ad destination

Feedback Loop

  • conversion-tracker (S6) measures ad ROAS → optimize ad copy, targeting, and budget allocation

Quality Gate

Before delivering output, verify:

  1. Would I share this on MY personal social?
  2. Contains specific, surprising detail? (not generic)
  3. Respects reader's intelligence?
  4. Remarkable enough to share? (Purple Cow test)
  5. Irresistible offer framing? (if S4 offer skills ran)

Any NO → rewrite before delivering.

yaml
chain_metadata:
  skill_slug: "paid-ad-copy-writer"
  stage: "automation"
  timestamp: string
  suggested_next:
    - "conversion-tracker"
    - "ab-test-generator"
    - "landing-page-creator"

Frequently asked questions

What does the Paid Ad Copy Writer AI skill do?

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".

Why use Paid Ad Copy Writer on TypingMind?

Because you install it once and use it with any model. Paid Ad Copy Writer is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Paid Ad Copy Writer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Affitor/affiliate-skills/tree/main/skills/automation/paid-ad-copy-writer. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Paid Ad Copy Writer?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Paid Ad Copy Writer?

As many as you like. As long as a model supports skills, you can use Paid Ad Copy Writer with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Paid Ad Copy Writer AI skill free?

Yes. It is published on GitHub by Affitor under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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