Influencer discovery
Quick answer
- 01What is it?
- Use when finding influencers to partner with for sponsorships, affiliate deals, or co-marketing. What sets it apart is how it narrows influencer discovery into one specific workflow rather than a broad, generic prompt.
- 02Inputs
- Context the agent needs: your goals, audience, constraints, and any source material the skill asks for.
- 03Output
- A ready-to-use result: the analysis, copy, or recommendations the agent produces.
Add this skill
Install as a package
Installs this one skill package for your coding agent, including any supporting files that skill ships with — not every skill in the repository. Read the tutorial.
$ npx skills add superamped/ai-marketing-skills --skill influencer-discoveryUse in Profound
Copy this file into a new Profound Skill. That's it, nothing else to install.
Copy and create in ProfoundInfluencer Discovery
Usage
Use when finding influencers to partner with for sponsorships, affiliate deals, or co-marketing. Also useful for identifying thought leaders your target audience already follows, building a media list for outreach or PR, or understanding who shapes opinion in your niche before creating content.
Process
Step 1: Gather Inputs
Ask the user for:
- Industry/niche — the topic domain (e.g., "B2B SaaS marketing", "personal finance for millennials", "indie game development")
- Target audience — who follows these influencers, framed as the buyer (e.g., "SaaS founders", "freelance developers", "e-commerce store owners")
- Platform focus (optional) — prioritize specific platforms (YouTube, X/Twitter, Newsletters, Podcasts, Instagram). Default: search all.
- Minimum follower count (optional) — exclude influencers below a threshold. Default: no minimum (micro-influencers included).
Extract from inputs:
- Niche keywords: The 3-5 topic terms that define the industry
- Audience profile: Who the target audience is (role, stage, problem domain)
- Platform priorities: Which platforms to weight more heavily
Step 2: Generate Search Queries
Generate 10 search queries to surface influencers across platform types and discovery angles:
"Top influencers" list queries:
- "top [niche] influencers [current year]"
- "best [niche] creators to follow"
- "top [audience] thought leaders"
Platform-specific queries:
- "top [niche] youtube channels"
- "[niche] youtube [subscribers OR creators]"
- "best [niche] newsletter substack"
- "top [niche] podcast"
- "[niche] twitter thought leaders"
Cross-platform discovery:
- "[niche] conference speakers [current year]"
- "who sponsors [niche] newsletters"
- "[niche] podcast guest list"
Step 3: Search YouTube
Search YouTube for top channels in the niche:
- Use queries: "top [niche] YouTube channels", "[audience] YouTube", "[niche keyword] tutorial/advice channel"
- For each channel found, collect: Channel name, URL, subscriber count, content focus
- Aim for 20-30 YouTube channels across macro (500k+), mid-tier (50k-500k), and micro (<50k) tiers
Step 4: Search X/Twitter
Search for thought leaders on X/Twitter:
- Use queries: "[niche] twitter", "best [niche] accounts to follow", "[identity/role] twitter"
- Check "listicles" — blog posts titled "Best [niche] accounts to follow on Twitter/X" often list 10-20 accounts at once
- Include both prolific posters (daily content) and respected practitioners (less frequent but high-quality takes)
Step 5: Search Blogs, Newsletters, and Podcasts
Blogs
- Search: "top [niche] blogs", "best [niche] blog to read", "[niche] writers"
- Look for independent writers with their own sites
Newsletters
- Search: "best [niche] newsletter", "[niche] substack", "[niche] email newsletter"
- Check Substack's discover page for the niche if applicable
Podcasts
- Search: "top [niche] podcast", "best [niche] podcast", "[audience] podcast"
- Check Apple Podcasts and Spotify charts if accessible
Step 6: Search Meta (Facebook and Instagram)
- Search: "[niche] facebook page", "[identity] instagram", "[niche] instagram creator"
- Focus on public profiles and pages
- Meta is lower priority for most B2B niches — if the niche skews consumer or visual, prioritize more heavily
Step 7: Mine Cross-Platform Discovery Sources
Conference Speaker Lists
- Search: "[niche] conference [current year] speakers", "[niche] summit speakers"
- Conference keynote and session speakers are pre-vetted as recognized voices
- Extract speaker names → find their primary platform
Podcast Guest Cross-References
- Search: "[top podcast in niche] guests", "most popular [niche] podcast episodes"
- Repeat guests on multiple podcasts = high-credibility signal
Newsletter Curator Lists
- Search: "who sponsors [niche] newsletters", "[niche] newsletter sponsors"
- Companies sponsoring newsletters indicate which newsletters have a commercially valuable audience
Step 8: Normalize All Results
Compile all discovered influencers into a single list. For each entry, record:
| Field | Description |
|---|---|
| Name | Person or brand name |
| Primary Platform | The platform where they have the largest/most active presence |
| X/Twitter URL | Profile URL or "—" |
| YouTube URL | Channel URL or "—" |
| Newsletter/Blog URL | URL or "—" |
| Podcast URL | URL or "—" |
| Instagram/Facebook URL | URL or "—" |
| Primary Follower Count | Count on their primary platform |
| Content Type | What they primarily create (tutorials, opinion/takes, case studies, interviews, tools) |
| Source | Where they were discovered |
Deduplication: If the same person appears from multiple discovery sources, merge into one entry. Multiple discovery sources = stronger relevance signal.
Step 9: Score Each Influencer
Score every influencer on Relevance (1–5):
| Score | Signal |
|---|---|
| 5 | Content is directly about the target audience's core problems — almost every post/video is on-target |
| 4 | Strong match — most content is relevant, occasional tangents |
| 3 | Adjacent — their niche overlaps meaningfully but isn't a perfect match |
| 2 | Loose match — some relevant content but audience is broader or different |
| 1 | Tangential — topic surface-level overlap but different audience |
Audience Overlap Rating
| Rating | Criteria |
|---|---|
| High | Relevance ≥ 4 |
| Medium | Relevance = 3 |
| Low | Relevance ≤ 2 |
Step 10: Sort and Finalize
Sort the full list:
- Primary: Audience Overlap rating (High → Medium → Low)
- Secondary: Primary follower count (largest first within each tier)
Include micro-influencers (1K–50K followers) alongside macro — do not exclude them.
Output Format
# Influencer Discovery: [Industry/Niche]
**Date:** [current date]
**Industry/Niche:** [description]
**Target Audience:** [description]
**Influencers found:** [count] across [X] platforms
**Audience Overlap breakdown:** High: [X] | Medium: [X] | Low: [X]
---
## High Overlap Influencers
| # | Name | Primary Platform | Followers | X/Twitter | YouTube | Newsletter/Blog | Podcast | Instagram/FB | Content Type | Discovery Source |
|---|------|-----------------|-----------|-----------|---------|-----------------|---------|-------------|-------------|-----------------|
| 1 | [name] | [platform] | [count] | [url or —] | [url or —] | [url or —] | [url or —] | [url or —] | [type] | [source] |
---
## Medium Overlap Influencers
[Same table structure]
---
## Low Overlap Influencers
[Same table structure]
---
## Platform Coverage Summary
| Platform | Count | High Overlap | Notes |
|----------|-------|-------------|-------|
| X/Twitter | X | X | [observation] |
| YouTube | X | X | |
| Newsletter/Blog | X | X | |
| Podcast | X | X | |
| Instagram/Facebook | X | X | |
---
## Observations
[2-3 bullet points: where this niche's influencer ecosystem is concentrated, tier distribution, notable patterns]
## Partnership Opportunities
[Top 3-5 influencers worth prioritizing for sponsorship or collaboration, with a 1-sentence reason each]
## Recommended Next Steps
1. [e.g., "Reach out to top 3 High Overlap newsletter authors — newsletter sponsorships often have fastest lead time"]
2. [e.g., "Monitor [top X/Twitter account] for mentions of problems your product solves"]
Rules
- Aim for 100+ influencers total. For narrow B2B niches, 50 is acceptable — flag it.
- Never invent influencer accounts or inflate follower counts — only include verified results from search.
- Never exclude micro-influencers (1K–50K) — they are often the highest-value partnerships for niche B2B audiences.
- Never focus only on one platform — cross-platform coverage is a core output requirement.
- Discovery source matters: an influencer found via conference speakers + podcast guest + YouTube search is more credible than one found via a single listicle.
- Follower counts are best-effort estimates — verify before outreach.
- If fewer than 30 influencers are found, try broader synonyms for the niche or audience.
Common questions
How do I install Influencer discovery in Cursor, Claude Code, or Codex?
Run npx skills add superamped/ai-marketing-skills --skill influencer-discovery in the project where you want it, then ask your agent for the skill by name. The --skill flag installs only Influencer discovery, not every skill in the repository.
Where does Influencer discovery come from and what license is it under?
Influencer discovery comes from the superamped/ai-marketing-skills repository on GitHub. That repository has 49 GitHub stars. The skill is published under the MIT license.
Prefer plain text? Read the Influencer discovery guide as markdown.
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