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Animam provides a conversational interface between your website and any LLM. Instead of scraping HTML, AI agents can query your chatbot directly and get accurate, author-intended responses.

Why This Matters

The Scraping Problem

When Perplexity, ChatGPT, or any AI agent wants information about your business:
  1. They crawl your website periodically
  2. Parse HTML structures that change
  3. Extract text without understanding context
  4. Generate responses that may be outdated or wrong
You have no control over what they say about you.

The Animam Solution

With Animam, AI agents can:
  1. Query your API - POST /chat/:slug with a question
  2. Get your answer - The response you control, in real-time
  3. Use structured context - Your corpus, your persona, your intent

Two Ways to Connect

REST API

Any LLM can query your chatbot via HTTP. Simple POST request, JSON response.

MCP Server

Claude Desktop and MCP clients connect directly. Native integration.

LLM Context Discovery

Animam exposes a /context/:slug endpoint that provides structured information about your chatbot:
This allows AI agents to:
  • Discover what your chatbot can do
  • Choose the right segment for their query
  • Understand the persona they’re talking to

Use Cases

Perplexity / Search Agents

Instead of scraping your pricing page, Perplexity can query:
And get your exact, up-to-date pricing.

Claude Desktop / AI Assistants

Your team can use Claude Desktop with your business context:
Claude loads your corpus and becomes your support agent.

Custom Integrations

Build agents that query multiple Animam chatbots:

Next Steps

API Access

How to query chatbots via REST API

MCP Universal

Connect Claude Desktop to any chatbot