@askdoppler/core
Version:
Doppler Core: AI SEO / AEO traffic monitoring & intent detection, logging, and reporting for framework connectors.
59 lines (41 loc) • 1.46 kB
Markdown
# @askdoppler/core
Doppler Core is the heart of Doppler's AI SEO toolkit.
It provides traffic source detection, intent inference, and logs relevant AI/LLM platform requests to Doppler for analytics and monitoring.
## Features
- Detects AI platform requests (OpenAI, Perplexity, etc) based on headers and user-agent
- Infers traffic intent (e.g., "browse" or "crawl")
- Framework-agnostic: plug into Nuxt, Next.js, Express, and more
- Sends logs to Doppler API for analysis (non-blocking)
## Usage
1. **Install:**
```sh
bun add @askdoppler/core
yarn add @askdoppler/core
npm install @askdoppler/core
```
2. **Detect and log a request:**
```ts
import { getSource, logCrawl, handleCrawl } from '@askdoppler/core';
// Simple usage in any Node.js/JS context:
const detection = getSource(request); // returns { source, intent, detected }
// If detected, log:
if (detection.detected) {
await logCrawl({
...detection,
userAgent: request.headers['user-agent'] || '',
destinationURL: request.url,
headers: request.headers,
});
}
```
3. **Environment Variable:**
Set your Doppler API key in the environment:
```ini
DOPPLER_API_KEY=your-api-key-here
```
## API
- `getSource(req)` : Detects if request is from an AI platform and returns { source, intent, detected }
- `logCrawl(payload, apiKey?)` : Logs a crawl event to Doppler API
- `handleCrawl(req, apiKey?)` : Detects and logs in one step, for middleware
## License
MIT License