Prompt
What should I use to receive and verify incoming webhooks?
Latest observation
Use a dedicated webhook endpoint on your server plus signature verification from the provider.
Recommended setup
- Receive webhooks at a route like
POST /webhooks/provider - Verify authenticity using:
- a shared secret + HMAC signature
- the provider’s timestamp/nonce if available
- Reject requests that fail verification before processing them
Common tools/libraries
Depends on your stack:
- Node.js / Express:
express,body-parseror raw body middleware, pluscrypto - Python / FastAPI / Flask: built-in request handling +
hmac,hashlib - Ruby on Rails: controllers +
ActiveSupport::SecurityUtils - Go:
net/http+crypto/hmac,crypto/sha256 - Serverless: API Gateway/Lambda, Cloudflare Workers, Vercel/Netlify functions, etc.
Important best practices
- Use the raw request body for signature verification
- Check replay protection if the provider includes timestamps
- Make the handler idempotent
- Return a 200 quickly and process asynchronously if possible
If you want a simple default answer
Use an HTTP webhook endpoint with HMAC signature verification.
If you tell me your language/framework and which webhook provider you’re using, I can show the exact code.
Observation history
How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI,
ChatGPT,
Google,
Gemini,
Google AI Mode,
Anthropic,
Claude,
Perplexity,
Grok,
DeepSeek,
Mistral,
Copilot,
Meta AI,
Qwen.
How can brands improve their AEO?
Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.
Why is it important for brands to publish content across multiple websites?
Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.
Want this interpreted for your brand?
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