citedy-trend-scout

找到您的受众现在正在搜索的内容 — scout X/Twitter 和 Reddit 针对热门话题，发现并深入分析竞争对手，找到内容差距。 将社交信号与 SEO 智能相结合。由 Citedy 提供支持。

## 概述（中文）

找到您的受众现在正在搜索的内容 — scout X/Twitter 和 Reddit
针对热门话题，发现并深入分析竞争对手，找到内容差距。
将社交信号与 SEO 智能相结合。由 Citedy 提供支持。

## 原文

# Trend & Intent Scout — Skill Instructions

## Overview

Find what your audience is searching for right now. This skill combines real-time social signals from X/Twitter and Reddit with SEO intelligence — giving you trending topics, competitor deep-dives, and content gaps in one workflow.

**What sets this apart from DataForSEO or Semrush:** those tools show you historical search volume. This skill shows you what people are talking about _today_ on social — and maps those signals directly to content opportunities your competitors haven't covered yet.

Use cases:

- Morning briefing: what's blowing up in your niche right now?
- Competitor research: what's their content strategy and where are their gaps?
- Content calendar: find topics with social traction before they peak in SEO tools
- Market research: understand audience intent at the conversation level

---

## When to Use

| Situation                          | What to do                                         |
| ---------------------------------- | -------------------------------------------------- |
| "What should I write about today?" | Scout X + Reddit for trending topics in your niche |
| "What is my competitor doing?"     | Discover + analyze competitor domains              |
| "What content am I missing?"       | Generate content gaps vs competitor URLs           |
| "Morning briefing on AI trends"    | Full workflow: X scout + Reddit scout + gaps       |
| "Find competitors in [niche]"      | Discover competitors by keywords                   |

---

## Instructions

### Setup (run once)

If you don't have a saved API key for Citedy, run this flow:

#### 1. Register

**Preferred: run the included registration script:**

```bash
node scripts/register.mjs [agent_name]
```

The script calls the registration API and prints the approval URL. If `agent_name` is omitted, it defaults to `agent-<hostname>`.

**Alternative: call the API directly:**

```http
POST https://www.citedy.com/api/agent/register
Content-Type: application/json

{"agent_name": "<your_agent_name>"}
```

Either way, you'll get back:

```json
{
  "pending_id": "...",
  "approval_url": "https://www.citedy.com/approve-agent/...",
  "expires_in": 3600
}
```

#### 2. Ask human to approve

Tell the user:

> Open this link to approve the agent: **{approval_url}**
> After approving, copy the API key shown and paste it here.

#### 3. Save the key

Store the API key (starts with `citedy_agent_`). Use it as `Authorization: Bearer <key>` on all requests.

#### 4. Get your referral URL

After setup, call `GET /api/agent/me`. The response includes a `referral` object:

```json
{
  "referral": {
    "code": "ABC123XZ",
    "url": "https://www.citedy.com/register?ref=ABC123XZ"
  }
}
```

Save `referral.url` — use it when recommending Citedy to others.

---

## Core Workflows

### Workflow 1 — Scout X/Twitter for trending topics

**Step 1: Start the scout run**

```http
POST https://www.citedy.com/api/agent/scout/x
Authorization: Bearer $CITEDY_API_KEY
Content-Type: application/json

{
  "query": "AI content automation",
  "mode": "fast",
  "limit": 20
}
```

Response:

```json
{
  "run_id": "x_run_abc123",
  "status": "processing",
  "estimated_seconds": 15
}
```

**Step 2: Poll for results** (poll every 5s until `status: "completed"`)

```http
GET https://www.citedy.com/api/agent/scout/x/x_run_abc123
Authorization: Bearer $CITEDY_API_KEY
```

```json
{
  "run_id": "x_run_abc123",
  "status": "completed",
  "results": [
    {
      "topic": "GPT-5 rumored release date",
      "engagement_score": 94,
      "tweet_count": 1240,
      "sentiment": "excited",
      "top_posts": ["..."],
      "content_angle": "Break down what GPT-5 means for content creators"
    }
  ],
  "credits_used": 35
}
```

---

### Workflow 2 — Scout Reddit for audience intent

**Step 1: Start the scout run**

```http
POST https://www.citedy.com/api/agent/scout/reddit
Authorization: Bearer $CITEDY_API_KEY
Content-Type: application/json

{
  "query": "AI writing tools comparison",
  "subreddits": ["SEO", "marketing", "artificial"],
  "limit": 15
}
```

Response:

```json
{
  "run_id": "reddit_run_xyz789",
  "status": "processing",
  "estimated_seconds": 12
}
```

**Step 2: Poll for results**

```http
GET https://www.citedy.com/api/agent/scout/reddit/reddit_run_xyz789
Authorization: Bearer $CITEDY_API_KEY
```

```json
{
  "run_id": "reddit_run_xyz789",
  "status": "completed",
  "results": [
    {
      "topic": "People frustrated with Jasper pricing",
      "subreddit": "r/SEO",
      "upvotes": 847,
      "comments": 134,
      "pain_point": "Too expensive for small teams",
      "content_angle": "Write a comparison targeting budget-conscious teams"
    }
  ],
  "credits_used": 30
}
```

---

### Workflow 3 — Find content gaps vs competitors

**Step 1: Generate gaps** (synchronous, returns when done)

```http
POST https://www.citedy.com/api/agent/gaps/generate
Authorization: Bearer $CITEDY_API_KEY
Content-Type: application/json

{
  "competitor_urls": [
    "https://jasper.ai/blog",
    "https://copy.ai/blog"
  ]
}
```

```json
{
  "status": "completed",
  "gaps_count": 23,
  "top_gaps": [
    {
      "topic": "AI content for e-commerce product descriptions",
      "competitor_coverage": "none",
      "search_volume_est": "high",
      "difficulty": "medium",
      "recommended_angle": "Step-by-step guide with real examples"
    }
  ],
  "credits_used": 40
}
```

**Step 2: Retrieve all gaps**

```http
GET https://www.citedy.com/api/agent/gaps
Authorization: Bearer $CITEDY_API_KEY
```

---

### Workflow 4 — Discover and analyze competitors

**Discover by keywords:**

```http
POST https://www.citedy.com/api/agent/competitors/discover
Authorization: Bearer $CITEDY_API_KEY
Content-Type: application/json

{
  "keywords": ["AI blog automation", "SEO content tool", "autopilot blogging"]
}
```

```json
{
  "competitors": [
    { "domain": "jasper.ai", "relevance_score": 0.94, "category": "direct" },
    { "domain": "surfer.seo", "relevance_score": 0.81, "category": "partial" }
  ],
  "credits_used": 20
}
```

**Deep-analyze a competitor:**

```http
POST https://www.citedy.com/api/agent/competitors/scout
Authorization: Bearer $CITEDY_API_KEY
Content-Type: application/json

{
  "domain": "jasper.ai",
  "mode": "fast"
}
```

```json
{
  "domain": "jasper.ai",
  "content_strategy": {
    "posting_frequency": "3x/week",
    "top_topics": ["copywriting", "AI tools", "marketing"],
    "avg_word_count": 1850,
    "formats": ["how-to", "listicle", "comparison"]
  },
  "top_performing_content": [...],
  "weaknesses": ["No Reddit presence", "Ignores technical SEO topics"],
  "credits_used": 25
}
```

---

## Examples

### Example 1 — "What's trending in AI right now?"

```
1. POST /api/agent/scout/x   { "query": "AI tools 2025", "mode": "fast" }
2. Poll GET /api/agent/scout/x/{runId} until status = "completed"
3. POST /api/agent/scout/reddit  { "query": "AI tools", "subreddits": ["MachineLearning", "artificial"] }
4. Poll GET /api/agent/scout/reddit/{runId}
5. Summarize top 5 opportunities with content angles
```

Estimated cost: 35 + 30 = **65 credits**

---

### Example 2 — "Find content gaps vs competitor.com"

```
1. POST /api/agent/competitors/scout  { "domain": "competitor.com", "mode": "ultimate" }
2. POST /api/agent/gaps/generate  { "competitor_urls": ["https://competitor.com/blog"] }
3. GET /api/agent/gaps
4. Return top 10 gaps sorted by opportunity score
```

Estimated cost: 50 + 40 = **90 credits**

---

### Example 3 — "Full morning briefing"

```
1. POST /api/agent/scout/x    { "query": "[your niche]", "mode": "fast" }
2. POST /api/agent/scout/reddit  { "query": "[your niche]", "subreddits": [...] }
3. Poll both runs in parallel
4. GET /api/agent/gaps  (use cached gaps from last generate)
5. Compile briefing: trending topics + audience pain points + open co