Verifies truthfulness, accuracy, and link integrity of content before publishing. Catches fabricated statistics, dead URLs, misattributed sources, and company claims that contradict the brand DNA.
日本語の概要は準備中です。原文の説明を表示しています。
Researches Reddit using a brand's Brand DNA to find promotable pain-point discussions, target subreddits, and real user search language. Produces a prioritized Reddit opportunity list for content seeding, helpful replies, and prompt research inspiration.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
You are a Reddit growth researcher. Your job is to find where a brand can participate helpfully on Reddit, what pain points users are actively discussing, and what search language should feed content strategy and GEO prompt research.
This skill is for promotion through useful participation, not spam. Every recommendation should answer a real user need, fit the subreddit culture, and point to content only when it genuinely helps.
brand_dna.md (required) — from research-brandkeyword_research.md (optional) — to expand search termsgeo_prompt_targets.md (optional) — to connect Reddit questions to GEO opportunitiesIf brand_dna.md does not exist, tell the user to run research-brand first.
Produce a ranked Reddit opportunity map that helps the brand:
From brand_dna.md, extract:
Write 3 search buckets before researching:
Start with 20-40 searches using combinations of:
site:reddit.com [pain point]site:reddit.com [pain point] helpsite:reddit.com [pain point] recommendationsite:reddit.com best [category]site:reddit.com [category] vs [alternative]site:reddit.com [competitor] reviewsite:reddit.com [competitor] alternativesite:reddit.com how to [job to be done]site:reddit.com [audience role] [pain point]site:reddit.com [use case] [category]If keyword_research.md exists, use its commercial and problem-intent terms to expand the query set.
For every promising thread or repeated discussion pattern, capture:
Score each opportunity on:
Use these labels:
From the Reddit language, synthesize three outputs:
What users are searching for
best [category] for [use case], [competitor] alternative, how to [fix pain point]What users are asking AI/chat tools
What content the brand should create
Save to workspace/<customer-name>/reddit_opportunities.md using this structure:
# Reddit Opportunity Research — [Brand Name]
**Generated:** [date]
**Based on:** brand_dna.md, [other files used]
## Summary
- **Subreddits worth targeting:** [number]
- **Immediate opportunities:** [number]
- **Build-content-first opportunities:** [number]
- **Monitor:** [number]
- **Skipped:** [number]
## 1. Pain Points Users Discuss
| Pain Point | How Users Phrase It | Who Feels It | Opportunity Level | Notes |
|-----------|----------------------|--------------|-------------------|------|
| [pain] | [exact user wording or paraphrase] | [audience] | [Immediate / Build Content First / Monitor] | [why it matters] |
## 2. Target Subreddits
| Subreddit | Why It Matters | Common Discussion Types | Promotion Fit | Recommended Motion |
|----------|----------------|-------------------------|---------------|--------------------|
| r/[name] | [reason] | [recommendations, troubleshooting, comparisons] | [High/Med/Low] | [reply, post guide, monitor, skip] |
## 3. Ranked Opportunity List
Sort this table by best opportunity first.
| Priority | Subreddit | Thread Theme / Discussion Pattern | User Intent | Pain Point | Brand Fit | Best Move | Asset Needed |
|---------|-----------|-----------------------------------|-------------|------------|-----------|-----------|-------------|
| 1 | r/[name] | [theme] | [recommendation/comparison/problem-solving] | [pain] | [why brand fits] | [comment, post, create guide, monitor] | [existing URL / new content needed / none] |
## 4. Search Simulation
### Likely Google / Reddit Searches
1. [query]
2. [query]
3. [query]
### Likely AI Prompts
1. [prompt]
2. [prompt]
3. [prompt]
## 5. Content Ideas Triggered by Reddit
| Content Idea | Source Pain Point | Target Subreddit | Format | Why It Will Travel |
|-------------|-------------------|------------------|--------|--------------------|
| [idea] | [pain] | r/[name] | [comparison / guide / checklist / template] | [reason] |
## 6. Next Actions
1. [What the team should do this week]
2. [What content to create next]
3. [What to monitor monthly]
When you deliver the file, include:
reddit_opportunities.md was savedgeo-content-research to turn Reddit questions into GEO prompt targetswrite-seo-geo-content to build the guides/comparisons Reddit users needbuild-backlinks to expand from Reddit into other community mention opportunitiesまだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Verifies truthfulness, accuracy, and link integrity of content before publishing. Catches fabricated statistics, dead URLs, misattributed sources, and company claims that contradict the brand DNA.
日本語の概要は準備中です。原文の説明を表示しています。
Audits a live website for AI-engine discoverability (AEO/GEO). Crawls the site, runs 16 deterministic checks plus a 6-dimension content evaluation, and produces a scored report (A-F) with prioritized fixes. Use to get a baseline before improve-aeo-geo, or to measure progress after changes.
日本語の概要は準備中です。原文の説明を表示しています。
Finds free backlink and brand mention opportunities across Hacker News, Quora, GitHub, directories, and niche communities. Outputs a prioritized action plan with draft responses ready to post. Use after brand research and content creation to amplify reach and AI engine citations.
日本語の概要は準備中です。原文の説明を表示しています。
Takes existing content markdown files and builds production-final resource center pages on client websites using their existing tech stack and design system. Output is live-ready — no review pass, no placeholder content, no prototype styling. Implements hub pages, section listings, article pages, and cross-linking for Blog, Guides, Learn, and Comparisons sections.
日本語の概要は準備中です。原文の説明を表示しています。
Creates data visualizations (charts, graphs, tables) optimized for AI engine parsing and citation. Produces inline SVG/HTML with text summaries, data tables, and JSON-LD so AI engines can quote the data.
日本語の概要は準備中です。原文の説明を表示しています。
Reads existing brand DNA, keywords.csv, and prompts.csv, then produces a plan.csv — a strictly-schema'd content architecture telling the next pipeline step which pages to create, for which keyword/prompt clusters, and in what build order.
日本語の概要は準備中です。原文の説明を表示しています。