affiliate-program-search

Affiliate Program Search

Help affiliate marketers research, evaluate, and pick winning programs to promote. Data source: list.affitor.com — Affitor's community-driven affiliate program directory.

Stage

This skill belongs to Stage S1: Research

When to Use

• User wants to find affiliate programs to promote
• User wants to compare two or more affiliate programs
• User asks about commission rates, cookie duration, or earning potential
• User mentions list.affitor.com
• User is new to affiliate marketing and needs a starting point

Input Schema

{
  niche: string             # (optional, default: "AI/SaaS tools") Category or niche interest
  commission_pref: string   # (optional, default: "recurring, 20%+") Commission preference
  audience: string          # (optional, default: "content creators") Target audience type
  platform: string          # (optional, default: "any") Platform they'll promote on
  compare: string[]         # (optional) Specific programs to compare head-to-head
}

Workflow

Step 1: Understand What the User Wants

Ask (if not clear from context):

• Niche/category interest? (AI tools, SEO, video, writing, automation...)
• Commission preference? (recurring vs one-time, minimum %)
• Audience type? (developers, marketers, beginners, enterprise...)
• Platform they'll promote on? (blog, LinkedIn, YouTube, X...)

If user says "just find me something good" → default to: AI/SaaS tools, recurring commission, 20%+, content creator audience.

Step 2: Search list.affitor.com

See references/list-affitor-api.md for integration methods.

Two methods available:

• API (preferred): GET /api/v1/programs with API key auth — structured data, filterable
• Web fetch (fallback): web_search "site:list.affitor.com [category]" then web_fetch the page

Extract for each program: name, reward_value, reward_type, cookie_days, stars_count, tags, description.

Step 3: Score Programs

Apply the scoring framework from references/scoring-criteria.md.