Sponsored Newsletter Finder logo

Sponsored Newsletter Finder

OrganizationPopular
gooseworks-ai
sponsored-newsletter-finder

Discover newsletters in a target niche relevant to your ICP, evaluate audience fit, estimate reach and CPM, and output a ranked shortlist of sponsorship opportunities. Uses web search to find newsletters, then scores each against ICP alignment criteria. Use when a marketing team wants to reach an existing engaged audience for less than the cost of building their own, or when testing a new channel before committing.

Overview

Publishergooseworks-ai
Repositorygoose-skills
Skill namesponsored-newsletter-finder
Stars
1.2K
Forks
216
Bundled files
1
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by gooseworks-ai on GitHub. Read the source before you install it.

Installation

Install the Sponsored Newsletter Finder 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/gooseworks-ai/goose-skills/tree/main/skills/ads/composites/sponsored-newsletter-finder
  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/gooseworks-ai/goose-skills.git /tmp/goose-skills
mkdir -p .claude/skills
cp -r /tmp/goose-skills/skills/ads/composites/sponsored-newsletter-finder .claude/skills/sponsored-newsletter-finder
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Sponsored Newsletter Finder 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 Sponsored Newsletter Finder 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 Sponsored Newsletter Finder 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.

Sponsored Newsletter Finder

Find newsletters your ICP reads, evaluate their audience fit, and produce a ranked shortlist ready for outreach. Cheaper and faster than building your own list from scratch — newsletters already have the trust and the audience.

Best for: Seed/Series A teams with $500-5,000/month to test a paid distribution channel. Not for companies without budget or companies targeting a mass-market ICP.

When to Use

  • "Find newsletters I can sponsor to reach [ICP]"
  • "What newsletters does my target audience read?"
  • "I want to test newsletter sponsorship — where should I start?"
  • "Give me a ranked list of newsletters for [industry/role]"

Phase 0: Intake

  1. ICP definition — Target title, industry, company stage (e.g., "VP of Sales at Series A-C B2B SaaS companies")
  2. Monthly budget — Rough range for sponsorships (e.g., "$1,000-3,000/month")
  3. Geography — US only, global, or specific region?
  4. Campaign goal — Awareness (brand mention) or direct response (signup/demo)?
  5. Any newsletters you're already subscribed to or know about in this space? (Seeds the search)

Phase 1: Discovery via Web Search

Search for newsletters using multiple angles:

Search Queries to Run

"[ICP industry] newsletter" sponsorship
"[ICP role] newsletter" site:substack.com OR site:beehiiv.com
"best newsletters for [ICP role/industry]"
"[ICP industry] newsletter" "advertise" OR "sponsor"
"[competitor company] newsletter sponsorship" (find where competitors are already advertising)
newsletter directory "[ICP industry]"

Also search curated newsletter directories:

  • newsletter.directory for category browsing
  • paved.com for sponsorship marketplace listings
  • swapstack.co for newsletter ad network
  • sparkloop.co for referral partnerships

Collect: newsletter name, URL, estimated subscribers, topics covered, sponsorship page URL if found.

Phase 2: Evaluate Each Newsletter

For each discovered newsletter, score across 5 dimensions (1-5 each):

Scoring Criteria

Dimension135
Audience matchUnrelated audiencePartial overlapDirect ICP match
Reach<1,000 subscribers5,000-20,00020,000+
EngagementNo open rate data~30-40% open rate40%+ open rate
Niche specificityGeneric business newsletterIndustry newsletterRole-specific newsletter
Sponsor accessibilityNo sponsor info foundInquiry requiredClear pricing / marketplace listing

Total score: /25. Shortlist newsletters scoring ≥ 15.

Data Points to Find for Each Newsletter

Search for:

  • Subscriber count (often on the "About" or "Advertise" page)
  • Open rate (sometimes disclosed, often ~40-50% for niche newsletters)
  • CPM or flat sponsorship rate
  • Audience demographics (if disclosed)
  • Past sponsors (who's already buying? = validation)
  • Send frequency (weekly, daily, etc.)

For newsletters with no pricing page, estimate CPM from industry benchmarks:

  • Micro (<5k subs): $50-150 flat rate
  • Small (5k-20k subs): $100-500 flat rate
  • Mid (20k-50k subs): $500-2,000 flat rate
  • Large (50k+ subs): $1,000-10,000 flat rate

Phase 3: Competitive Intelligence

Check if known competitors are sponsoring newsletters in this space:

Search: "[competitor name]" "sponsored by" newsletter
Search: "[competitor name]" advertisement site:substack.com

If a competitor is sponsoring a newsletter, it's validated audience fit — flag it as high priority.

Phase 4: Output Format

markdown
# Newsletter Sponsorship Shortlist — [DATE]
ICP: [description] | Budget: [range] | Goal: [awareness/direct response]

---

## Tier 1 — High Priority (Score 20-25)

### 1. [Newsletter Name]
- **URL:** [url]
- **Subscribers:** [N] (~[source])
- **Open rate:** [X%] (disclosed/estimated)
- **Audience:** [description]
- **Send frequency:** [weekly/daily/etc]
- **Sponsorship type:** [dedicated / classified / banner mention]
- **Estimated cost:** $[X] per send
- **Estimated CPM:** $[X]
- **Past sponsors:** [list — competitive validation]
- **Score:** [X/25]
- **Fit rationale:** [1-2 sentences on why this is a strong match]
- **Sponsor page:** [url or "inquiry required"]

### 2. [Newsletter Name]
...

---

## Tier 2 — Worth Testing (Score 15-19)

### 1. [Newsletter Name]
...

---

## Tier 3 — Watchlist (Score 10-14)
(Monitor these — audience fit is good but reach or accessibility is limited)

---

## Where Competitors Are Already Advertising

| Newsletter | Competitor | Notes |
|-----------|-----------|-------|
| [Name] | [Competitor] | Validated ICP match |
...

---

## Budget Allocation Recommendation

Given budget of [X]/month and campaign goal of [goal]:

| Newsletter | Send frequency | Cost per send | Sends/month | Monthly cost |
|-----------|---------------|--------------|-------------|-------------|
| [Name] | Weekly | $[X] | 4 | $[X] |
| [Name] | Bi-weekly | $[X] | 2 | $[X] |
| **Total** | | | | $[X] |

**Recommended test:** Start with [Newsletter 1] for 2 sends to validate conversion rate before expanding.

---

## Outreach Templates

### Cold outreach to newsletter with no sponsor page:

Subject: Sponsoring [Newsletter Name] — [Your Company]

> Hi [Name],
>
> I'm [Name] from [Company] — we [one-line pitch]. We're fans of [Newsletter Name] and think our audience overlap is strong: [ICP match rationale].
>
> Would you be open to a sponsored mention or dedicated send? Happy to share what we're looking for and see if it's a fit.
>
> [Name]

### Request for media kit:

> Hi [Name] — big fan of [Newsletter Name]. Could you share your media kit and current sponsorship rates? [Your Company] is evaluating newsletter partnerships for Q[X].

Save to newsletter-sponsors-[YYYY-MM-DD].md in the current working directory (or user-specified path).

Cost

ComponentCost
Web search (discovery phase)Free
All analysis and scoringFree (LLM reasoning)
TotalFree

Tools Required

  • web_search — for newsletter discovery and verification
  • No API keys required

Trigger Phrases

  • "Find newsletters I can sponsor to reach [ICP]"
  • "What newsletters does [title/industry] read?"
  • "Run newsletter sponsorship research for [client]"
  • "I want to test paid newsletter distribution — where should I start?"

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Sponsored Newsletter Finder AI skill do?

Discover newsletters in a target niche relevant to your ICP, evaluate audience fit, estimate reach and CPM, and output a ranked shortlist of sponsorship opportunities. Uses web search to find newsletters, then scores each against ICP alignment criteria. Use when a marketing team wants to reach an existing engaged audience for less than the cost of building their own, or when testing a new channel before committing.

Why use Sponsored Newsletter Finder on TypingMind?

Because you install it once and use it with any model. Sponsored Newsletter Finder 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 Sponsored Newsletter Finder in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/composites/sponsored-newsletter-finder. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Sponsored Newsletter Finder?

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 Sponsored Newsletter Finder?

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

Is the Sponsored Newsletter Finder AI skill free?

Yes. It is published on GitHub by gooseworks-ai 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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