geo-pulse（地质脉冲）

GEO Pulse — Brand AI Visibility Intelligence

中文：把“品牌在 AI 搜索里到底有没有被看见”变成可量化、可对比、可执行的报告。 English: Turn brand visibility in AI search into measurable, benchmarkable, action-ready insights.

Why this skill is valuable | 这个技能的价值

• GEO 核心指标一次拿全：可见度、提及率、链接引用率、情绪、平台分布、竞品对比
• 首次品牌可自动初始化并触发 AI 搜索流水线
• 支持历史趋势复盘（7~365 天）
• 结果可以直接给老板/客户汇报

Configuration | 配置

Use configurable base URL (default is public endpoint):

BASE_URL="${GEO_PULSE_BASE_URL:-http://8.148.223.19:8000}"

All requests use curl with network access.

Feature 1: GEO Audit Report | 品牌 GEO 体检报告

Triggers | 触发词

• “XXX 的 GEO 表现如何”
• “给我一份 XXX 的 GEO 报告”
• “How visible is XXX in AI search?”

Step 1) Check if brand exists

BASE_URL="${GEO_PULSE_BASE_URL:-http://8.148.223.19:8000}"
curl -s "$BASE_URL/api/brands"

Expected structure: {"code":0,"data":{"brands":[{"brand":"Name","brand_domain":"example.com"}]}}

Match by brand OR brand_domain.

• Found → Step 3
• Not found → Step 2

Step 2) First-time brand onboarding (3-10 min)

Tell user this is first-time processing and may take several minutes.

2a. Analyze brand

BASE_URL="${GEO_PULSE_BASE_URL:-http://8.148.223.19:8000}"
curl -s -X POST "$BASE_URL/api/brand-analyze" \
  -H 'Content-Type: application/json' \
  -d '{"brand":"BRAND_NAME"}'

Save data.brand_analyse and data.link_analyse.

2b. Create brand record

BASE_URL="${GEO_PULSE_BASE_URL:-http://8.148.223.19:8000}"
curl -s -X POST "$BASE_URL/api/brands" \
  -H 'Content-Type: application/json' \
  -d '{"brand":"BRAND_NAME","brand_analyse":<from_2a>,"link_analyse":<from_2a>}'

2c. Run AI-search pipeline (slow step)

BASE_URL="${GEO_PULSE_BASE_URL:-http://8.148.223.19:8000}"
curl -s --max-time 600 -X POST "$BASE_URL/api/pipeline/ai-search" \
  -H 'Content-Type: application/json' \
  -d '{"brand":"BRAND_NAME"}'

Use long timeout (about 600s). This is the bottleneck step.

Step 3) Fetch report data

3a. Brand profile

BASE_URL="${GEO_PULSE_BASE_URL:-http://8.148.223.19:8000}"
curl -sG "$BASE_URL/api/brand-profile" --data-urlencode "brand_name=BRAND_NAME"

3b. Metrics + competitors

BASE_URL="${GEO_PULSE_BASE_URL:-http://8.148.223.19:8000}"
curl -s -X POST "$BASE_URL/api/brand-metrics" \
  -H 'Content-Type: application/json' \
  -d '{"brand":"BRAND_NAME"}'

Step 4) Compose report

# {Brand} GEO Audit Report

> Report date: {date} | Domain: {domain}

## Brand Overview
{brand_overview}

## Core GEO Metrics
| Metric | Value |
|--------|-------|
| Visibility Score | {visibility_score} |
| Brand Mention Rate | {brand_mention_rate × 100}% |
| Link Reference Rate | {link_reference_rate × 100}% |
| Brand Mentions | {brand_mention_count} |
| Link References | {link_reference_count} |
| Sentiment | Positive {positive} / Neutral {neutral} / Negative {negative} |

## Platform Performance
| Platform | Mentions | Links | Positive | Neutral | Negative |
|----------|----------|-------|----------|---------|----------|
(from platform breakdown)

## Competitor Benchmark
| Brand | Visibility Score | Brand Visibility | Link Visibility |
|-------|------------------|------------------|-----------------|
(sorted by visibility_score desc; mark target brand with ⭐)

## Recommendations
{suggestion}

Feature 2: Historical Trend Analysis | 历史趋势分析

Triggers | 触发词

• “XXX 的 GEO 趋势”
• “可见度变化”
• “visibility trend”
• “历史对比”

Fetch history

BASE_URL="${GEO_PULSE_BASE_URL:-http://8.148.223.19:8000}"
curl -sG "$BASE_URL/api/brand-metrics/history" \
  --data-urlencode "brand_name=BRAND_NAME" \
  --data-urlencode "days=90"

Compose trend report

# {Brand} GEO Trend Report (Last {days} Days)

## Visibility Score Trend
| Date | Score | Mention Rate | Link Rate | Sentiment (P/N/Neu) |
|------|-------|--------------|-----------|---------------------|
(one row per snapshot, chronological order)

## Summary
- Visibility Score: {first} → {latest} ({delta})
- Brand Mention Rate: {first_rate}% → {latest_rate}% ({delta})
- Link Reference Rate: {first_link}% → {latest_link}% ({delta})
- Overall trend: {improving / declining / stable}

If only one snapshot exists, state clearly that trend confidence is limited.

Error handling & fallback copy | 错误处理与回退文案

1) API unreachable / timeout

Condition: connection refused / timeout / non-200 HTTP

Fallback message (CN):

GEO Pulse 服务暂时不可达（网络或服务超时）。我可以稍后重试，或先基于已有快照给你做一个“非实时版本”的初步报告。

Fallback message (EN):

GEO Pulse API is temporarily unreachable (network/service timeout). I can retry shortly, or provide a non-realtime draft report based on available snapshots.

2) Business error (code != 0)

Fallback:

接口返回业务错误：{message}。我可以尝试重新初始化品牌，或换“品牌名/域名”再查一次。

3) Brand creation failed

Fallback:

品牌初始化失败。请确认品牌名称拼写，或提供官网域名（例如 example.com）以提高识别准确率。

4) Pipeline slow / long running

Progress copy (CN):

首次品牌分析正在执行多平台 AI 查询（通常 3-10 分钟），我会在完成后立即回传完整报告。

Progress copy (EN):

First-time brand pipeline is running multi-platform AI queries (usually 3–10 minutes). I’ll return the full report once complete.

5) Empty metrics/snapshots

Fallback:

当前还没有足够的数据样本。建议先触发一次完整 pipeline，再做趋势分析会更可靠。

Data notes | 字段口径提醒

• brand_mention_rate / link_reference_rate are ratios in [0,1]; multiply by 100 for display.
• brand_visibility / link_visibility are already percentages.
• days range for history: 7-365 (default 90).
• If user gives domain instead of name, match by brand_domain first.