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SiteGPT · AI Agents

SiteGPT is agent-ready infrastructure

Point any MCP-compatible AI assistant at SiteGPT and it builds, trains, and runs an AI agent for customer service, trained on your content and live over OAuth. It resolves questions 24/7, captures leads, and escalates to a human when it matters.

7-day free trial, credit card required. Claude connects today. ChatGPT and Perplexity support remote MCP connectors too.

What does the finished agent do?

The demo below runs one loop. SiteGPT trains on your content, answers a real customer question with a cited source, and offers a human handoff.

Your assistant sets this up through the Model Context Protocol (MCP). MCP is an open standard for connecting AI applications to outside tools and data, defined in the MCP specification.

yourcompany.com

Trained on your content

  • Website
  • Help center
  • YouTube
  • Notion
  • PDFs
  • GitHub
Auto-sync keeps answers current
Online
Do you integrate with Slack?
Yes. SiteGPT connects to Slack, plus Zendesk and Crisp. Want me to loop in a teammate?Source: Integrations
SiteGPT in action: trained on your content, answering with a cited source, and escalating to a human on request.

Trusted by these leading companies

  • GrowthX
  • Scope
  • Valant
  • Savory Institute
  • Sagacity
The four agent-ready building blocks

What an AI assistant gets when it connects to SiteGPT.

1

Remote MCP server

MCP-compatible assistants connect over OAuth and operate SiteGPT through tool calls.

2

Agent API v2

A machine-readable agent manifest, OpenAPI discovery, and an OAuth device flow.

3

A CLI built for AI agents

Scriptable commands an agent can run to manage chatbots, content, and leads.

4

Agent-first onboarding

An agent goes from a blank account to a live, trained chatbot without a human clicking through a dashboard.

How do you connect an AI assistant to SiteGPT?

1

Connect

Point your MCP-compatible assistant at SiteGPT's remote server and authorize over OAuth.

2

Train

The agent adds your website, help center, and docs. Auto-sync keeps them current.

3

Operate

Your chatbot goes live, resolving questions, capturing leads, and escalating to a human on request.

What does agent-ready mean?

It means an AI assistant can run the product without a person clicking through a dashboard or copying API keys. SiteGPT supports this with four building blocks.

Building block 1

Remote MCP server

SiteGPT exposes a remote MCP server that MCP-compatible AI assistants connect to over OAuth. Operate SiteGPT from Claude today: list bots, review leads, update knowledge, edit personas.

Because the connection uses OAuth, you grant and revoke access like any other authorized app. No long-lived secret sits in a conversation transcript. To add SiteGPT to Claude in two clicks, see SiteGPT in Claude's connector directory.

MCP server docs →

Building block 2

Agent API v2

Agent API v2 publishes an agent manifest and OpenAPI discovery, so an agent can enumerate every endpoint and its schema without reading prose documentation.

The OAuth device flow issues scoped credentials to headless environments. Automation never needs an API key pasted into a chat.

Agent API v2 getting started →

Building block 3

A CLI built for AI agents

Coding agents drive the SiteGPT CLI as easily as people do. Its scriptable commands let an agent in a terminal create chatbots, add training content, and pull leads as part of a larger workflow. The install and first run are in chatbot CLI: provision a support chatbot from your terminal.

Using the CLI with AI agents →

Building block 4

Agent-first onboarding

Setup does not assume a person is watching a browser. An agent can take a new account from zero to a trained, embedded chatbot: create the bot, point it at content, set the persona, and ship the embed snippet.

Start in the docs →
Chatbot platform vs agent-ready infrastructure

The same job, with and without an assistant as the operator.

Typical chatbot platform

  • A human clicks through dashboards for every change
  • You copy API keys into chats and scripts
  • Integration docs target people, not agents
  • Onboarding stalls without a person watching a browser

Agent-ready SiteGPT

  • An assistant operates bots through MCP tool calls
  • You grant access over OAuth and revoke it like any app
  • A manifest and OpenAPI discovery describe every endpoint
  • An agent onboards the account end to end

Which AI clients can operate SiteGPT?

One remote MCP server serves every client, so the permission model does not change when you switch tools. Claude is the confirmed client, and SiteGPT publishes a setup guide for each of these.

New to the protocol? MCP for customer support explains what changes when an assistant operates the platform instead of advising on it, and SiteGPT for AI agents is the product page for the whole surface.

What can a SiteGPT agent do for customer service?

Your assistant stands up a customer service agent trained on your business content. It answers questions around the clock from that content. It also captures and qualifies leads, books time with your team, and hands off to a human with full context when a customer asks.

Auto-sync keeps the training content fresh as your product changes, so nobody retrains by hand. If you are comparing SiteGPT with enterprise agent platforms, start with the ranking of AI customer service agents. The Decagon review and Sierra review cover the two sales-led options in depth.

12+

Content sources to train on

95+

Languages supported

24/7

Coverage once the agent ships it

OAuth

Auth model, no pasted API keys

4

Agent-ready building blocks

7 days

Free trial, card required

Works on the channels your customers already use

The same content-trained agent answers across your site and the chat tools your team already runs, so customer service is consistent wherever people reach you. Chat integrations start on Growth. Zendesk needs Scale or above (and Zendesk Suite Professional or above).

  • Website widget
  • Slack
  • Zendesk (Scale+)
  • Crisp
  • Messenger
  • Google Chat
  • Freshdesk Messaging
  • Zoho SalesIQ

Trust and compliance

SOC 2 Type II examination completed

SOC 2 Type II examination completed, zero exceptions noted.

GDPR certified by DPLMC International

GDPR certified by DPLMC International. Signed DPA on Enterprise.

HIPAA assessed, BAA on Enterprise only

HIPAA BAA on the Enterprise plan only.

See the SiteGPT security page →Read the compliance hub →

Which guide should you read next?

Start with the hands-on walkthrough, then the concepts behind it.

How much does SiteGPT cost?

Every self-serve plan includes a 7-day free trial (credit card required). Switch to annual billing to save up to 40%.

Starter

Try it on one bot

$59$39/mo

billed $468/yr

  • 1 chatbot
  • 4,000 messages/mo
  • 1,000 pages
  • 1 seat
Start free
For agent builders

Growth

Where agents plug in

$129$79/mo

billed $948/yr

  • 2 chatbots
  • 10,000 messages/mo
  • 10,000 pages
  • 4 seats
  • API access and integrations
Start free

Scale

Higher volume and automation

$429$259/mo

billed $3,108/yr

  • 3 chatbots
  • 40,000 messages/mo
  • 50,000 pages
  • 10 seats
  • Webhooks and daily auto-scan
  • Zendesk AI Agent integration
Start free

Enterprise

Regulated and large teams

Custom

  • Up to 10,000 chatbots
  • Custom message volume
  • 500,000 pages
  • HIPAA BAA and signed DPA (Enterprise only)
  • Priority support
Contact sales

Add-ons: remove SiteGPT branding, or add 5,000 messages. Each costs $59/mo billed monthly or $39/mo billed yearly. See the full pricing page for details.

Sources

Frequently asked questions

What does agent-ready mean?

Agent-ready means an AI assistant can operate the product directly instead of only describing it. SiteGPT exposes a remote MCP server, an Agent API with a machine-readable manifest and OpenAPI discovery, and a CLI built for AI agents. With those, an assistant can build, train, and run a production chatbot end to end.

Which AI assistants can operate SiteGPT today?

Claude connects to SiteGPT's remote MCP server today and can list bots, review leads, update knowledge, and edit personas. ChatGPT (Developer Mode) and Perplexity (Pro+) support remote MCP connectors as of 2026. Coding agents point at the same server, and SiteGPT publishes setup guides for Claude Code, Cursor, Codex, OpenClaw, and Hermes. SiteGPT is built on the open MCP standard, so any assistant that supports remote connectors can connect.

How does an AI agent authenticate with SiteGPT?

An assistant signs in to the remote MCP server through a standard OAuth flow. The CLI and Agent API support an OAuth device flow for headless environments. You never paste an API key into a chat.

What can an agent do through the MCP server?

It can operate a SiteGPT account: list chatbots, review and qualify captured leads, update the knowledge the chatbot answers from, and edit chatbot personas. Combined with the Agent API and CLI, an agent can take a chatbot from creation to production.

Is SiteGPT ready for production and regulated environments?

SiteGPT has completed a SOC 2 Type II examination and is GDPR certified by DPLMC International. A HIPAA BAA and a signed DPA are available on the Enterprise plan only, not on Starter, Growth, or Scale. See the SiteGPT compliance hub for the details.

Point your agent at SiteGPT

Start a 7-day free trial (credit card required), connect your assistant to the remote MCP server, and let it stand up a chatbot trained on your content.