competitor-discovery · v1.0 · 2026-08-18 · sha256 a13c2361ab1f7a6d
competitor-discovery v1.0A
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--- name: competitor-discovery description: "Use this skill to find, verify, classify, and rank direct, adjacent, and tangential competitors from public web evidence. Trigger it when entering a market, building a competitor set, validating perceived alternatives, or refreshing research after a pivot." license: MIT compatibility: "Requires internet access for web search and competitor website fetching." metadata: author: superamped version: "1.0" website: "https://superamped.com" --- # Competitor Discovery ## Usage Use when you don't know who your competitors are, when entering a new market, or when refreshing the competitor list after a pivot or market shift. ## Process ### Step 1: Gather Inputs Ask the user for: 1. **Product description** — what it does, what category it's in, key features 2. **Target audience** — who buys or uses the product (role, industry, company size) 3. **Known competitors** (optional) — names or URLs to include without searching 4. **Number to find** (optional) — default: 5-7 ### Step 2: Build Search Queries Construct 4-6 search queries mixing these angles: - **Category:** "[category] tools 2025 2026" or "[category] software" - **Alternative:** "[product name] alternatives" or "tools like [product name]" - **Problem:** "[primary use case] solution" or "[pain point] tool" - **Audience:** "best [category] for [target company type]" or "[category] for [target role]" - **Comparison:** "best [category] compared" or "top [category] platforms" - **Review sites:** "[category] G2" or "[category] Capterra" (to mine company names from lists) Tailor queries to the product type. A B2B SaaS product needs different queries than a marketplace or agency service. ### Step 3: Search and Collect Run web searches for each query. For each result: - Extract company names and domains that appear across multiple results - Pull companies listed on review/comparison sites (G2, Capterra, etc.) — these are strong signals - Skip aggregator sites themselves, job boards, news articles about funding, and clearly unrelated results Compile a **candidate list** of 8-12 companies. For each, note: - **Name** - **URL** (homepage) - **How found** — which search queries surfaced them Rank candidates by frequency — companies appearing in 3+ different searches are almost certainly direct competitors. ### Step 4: Quick Profile Each Candidate For each candidate, fetch their homepage (and pricing page if easily accessible) and extract: - **One-liner** — what they say they do, in their own words - **Target audience signals** — who the site speaks to - **Overlap** — how directly they compete (direct / adjacent / tangential) Classify each candidate: - **Direct competitor** — same problem, same audience, similar solution - **Adjacent competitor** — same audience but different approach, or same approach but different audience - **Tangential** — some overlap but fundamentally different product Drop tangential candidates unless the list would be too short (fewer than 3 direct competitors). ### Step 5: Present for Confirmation Present the ranked list to the user: ``` I found these competitors for [product name]: Direct competitors: 1. [Name] — [one-liner] — [url] 2. [Name] — [one-liner] — [url] 3. [Name] — [one-liner] — [url] Adjacent competitors: 4. [Name] — [one-liner] — [url] 5. [Name] — [one-liner] — [url] Should I save these? Any to add or remove? ``` Wait for user confirmation. They may know competitors that web search missed, or flag false positives. ## Output Format ``` # Competitor Discovery: [Product Name] **Date:** [current date] **Competitors found:** [X] ## Competitors | # | Name | URL | Type | One-Liner | |---|------|-----|------|-----------| | 1 | [name] | [url] | Direct | [what they do] | | 2 | [name] | [url] | Direct | [what they do] | | 3 | [name] | [url] | Adjacent | [what they do] | ## Search Queries Used - [query 1] — [X results] - [query 2] — [X results] ## Recommended Next Steps - Run competitor-site-analysis on top competitors for full profiles (pricing, moats, GTM signals) - Run competitor-landscape after 2+ analyses for cross-competitor comparison and positioning map ``` ## Rules - Never include a company without visiting their site — one-liners must come from their actual homepage. - Never guess at pricing — only note what's publicly visible on the homepage or pricing page. - Never include more than 7 competitors without user approval — keep the list focused. - If web search returns fewer than 3 relevant competitors, the category may be too niche — try broader search terms. - If the market appears very crowded (15+ candidates found), suggest focusing on direct competitors only. - Re-run every 6 months or after significant product/market changes.