Prompt
What should I use instead of sending traffic directly to OpenAI?
Latest observation
If you mean instead of having your app call OpenAI directly, the usual alternatives are:
-
Your own backend/API proxy
- Your app sends requests to your server
- Your server calls OpenAI
- Benefits: hides API keys, lets you add auth, rate limiting, logging, caching, prompt control, and safety checks
-
An LLM gateway or abstraction layer
- Examples: LiteLLM, OpenRouter, Portkey, Helicone (more observability-focused)
- Benefits: route across multiple model providers, standardize APIs, add fallbacks and cost controls
-
A serverless function or edge function
- Examples: Cloudflare Workers, Vercel Functions, AWS Lambda
- Benefits: similar to a backend proxy, but less infrastructure to manage
-
A managed orchestration platform
- For workflows/agents/RAG: LangChain/LangGraph, LlamaIndex, Dify, Flowise, n8n
- Benefits: easier app-building, integrations, memory, retrieval, and tool use
If your goal is just security and control, the best default is:
- Client → your backend → OpenAI
If your goal is provider flexibility, use:
- Client → LLM gateway → OpenAI/others
If you want, I can recommend the best option based on your stack (web app, mobile app, serverless, enterprise, etc.).
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?
Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.