The future of company-AI interaction

Build the Agentic Web

Where companies don't just have websites — they have AI-native endpoints that answer questions and take actions on their behalf.

POST /mcp Verified Endpoint
Verified Response

"Does Acme support Salesforce integration?"

Yes, Acme offers native Salesforce integration on all Business and Enterprise plans. Setup takes ~15 minutes with our guided wizard.

Verified by Acme Inc. • Updated 2h ago
Available Actions

Stop AI Slop

The current web wasn't built for AI. It's time to fix that.

AI-powered research is broken

Today, AI scrapes SEO-biased content and presents it as objective truth. Users get hallucinated answers mixed with marketing fluff, with no way to verify accuracy or take action.

Current approach
AI Agent Scrapes Web Guesses Answer

Verified first-party data

AI queries each vendor directly through verified endpoints, enabling apples-to-apples comparison with authoritative, real-time information that can be trusted and cited.

Agentic approach
AI Agent Verified API Trusted Answer

Verified Responses. Possible Actions.

The agentic web is built on two foundational capabilities that transform how AI interacts with businesses.

Verified Responses

Engage in real conversations — vendors can ask qualifying questions and deliver personalized, authoritative answers AI can trust and cite.

  • Security certifications (SOC2, HIPAA, GDPR)
  • Pricing tiers and plan details
  • Salesforce & third-party integrations
  • Uptime SLA and performance guarantees

Possible Actions

Enable AI agents to take real actions — not just answer questions, but complete tasks.

  • Schedule a product demo
  • Open a support ticket
  • Request a custom quote
  • Start a free trial

Three steps to the agentic web

Implement once, become accessible to any AI agent.

1

Expose Profile

Set up your MCP server at /mcp

2

AI Discovers

Agents find and understand what your company can answer and do

3

Interact

Users get verified answers and complete actions through conversation

📅
Schedule Demo
🎫
Support Ticket
💰
Request Quote
🚀
Start Trial

How discovery works

AI agents discover your capabilities through a standard endpoint.

AI agents connect to your MCP server endpoint and discover your capabilities through the standard initialize handshake. No custom integrations — any MCP-compatible client can find what you offer and start interacting.

Connect and discover capabilities: JSON-RPC 2.0
POST https://acme.com/mcp
// Client sends initialize request
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "initialize",
  "params": {
    "protocolVersion": "2025-03-26",
    "clientInfo": { "name": "ai-agent", "version": "1.0" }
  }
}
Server responds with capabilities: 200 OK
{
  "jsonrpc": "2.0",
  "id": 1,
  "result": {
    "protocolVersion": "2025-03-26",
    "capabilities": {
      "tools": { "listChanged": true }
    },
    "serverInfo": {
      "name": "Acme Inc",
      "version": "1.0.0"
    }
  }
}

// Then discover tools:
// → tools/list returns: ask_question, schedule_demo, open_ticket, request_quote, qualify

See it work

The vendor controls the conversation — asking qualifying questions and delivering tailored responses.

AI Assistant — Evaluating Acme
👤
You
Will Acme work for my company?
Acme (via AI Agent)
I'd love to help determine if Acme is a good fit. A few quick questions:
Company size?
1-50 51-200 201-1000 1000+
Security requirements?
Basic SOC2 HIPAA FedRAMP
Primary use case?
API Security Attack Surface Compliance
Verified by Acme
👤
You
We're about 350 employees, need SOC2 compliance, mainly focused on attack surface management.
Acme (via AI Agent)
92% Strong Fit
SOC2 Type II certified
Attack surface discovery included
Mid-market tier available (100-500 employees)
Estimated pricing: $2,400 - $3,200/mo

Not one-way Q&A — a real conversation

Any business can ask the right questions and provide personalized responses.

👤
User via AI Agent

I'm looking for an API platform — what plans do you have?

Acme Endpoint

I'd love to help find the right plan. A few quick questions:

  • What's your team size?
  • What's your primary use case?
  • What's your monthly budget range?
👤
User via AI Agent

About 20 developers, we need REST API management, budget around $500/month.

Acme Endpoint
Fit Assessment

Great fit. Our Starter plan at $49/seat covers REST API management with 99.9% uptime. For 20 developers that's $980/month — I can get you a volume discount.

Developer-friendly by design

Standard protocols, simple integration, full control.

// Client connects and initializes POST https://acme.com/mcp { "jsonrpc": "2.0", "id": 1, "method": "initialize", "params": { "protocolVersion": "2025-03-26", "clientInfo": { "name": "ai-agent", "version": "1.0" } } } // Server responds with capabilities { "jsonrpc": "2.0", "id": 1, "result": { "protocolVersion": "2025-03-26", "capabilities": { "tools": { "listChanged": true } }, "serverInfo": { "name": "acme-mcp", "version": "1.0" } } }
Key Insight

The vendor controls the qualification logic — not the AI. Your business rules stay yours.

From static pages to intelligent endpoints

See how the agentic web transforms company-AI interaction.

📄

Traditional Web

  • Static pages designed for humans
  • AI scrapes and guesses at content
  • Forms required for every action
  • No context preserved between sessions
  • Generic support queues for everyone

Agentic Web

  • Machine-readable endpoints for AI
  • AI calls verified APIs directly
  • Actions completed through conversation
  • Full context flows through interactions
  • Intelligent routing and handoff

Built on open protocols

The agentic web leverages emerging standards from industry leaders.

Natural Language Web Protocol

Enables natural language queries to structured web endpoints.

Microsoft

Universal Commerce Protocol

Standard for AI-native commerce and business interactions.

Open Standard

Model Context Protocol

Connects AI models to external tools and data sources.

Anthropic

Agent-to-Agent Protocol

Enables autonomous agent collaboration and handoffs.

Google

Join the Agentic Web

The Agentic Web is an open specification. Anyone can implement it. Salespeak is building and maintaining the spec, but the protocol belongs to the community.

Common questions

Everything you need to know about implementing the agentic web.

No. The agentic web complements your existing website. Your human-facing pages remain exactly as they are. You're adding a parallel, machine-readable layer that AI agents can interact with. Think of it as adding an API for AI alongside your existing website — not replacing anything.

Verified responses are served from your live systems, not cached or scraped data. When an AI queries your endpoint, it receives real-time information from your authoritative source. You control the data, update frequency, and verification mechanisms. Responses include timestamps so AI agents know how fresh the information is.

AI agents connect to your MCP server endpoint (e.g., https://yoursite.com/mcp) and send an initialize request. The server responds with its capabilities — what tools are available. The agent then calls tools/list to see exactly what it can do. It's the standard MCP protocol — any compatible client works automatically.

You define exactly which actions are available and their authorization requirements. High-impact actions (like purchases) can require user confirmation, OAuth flows, or additional verification. Low-risk actions (like scheduling a demo) can be immediate. You control the security model entirely — the AI agent simply presents options to users and executes approved actions through your defined protocols.

MCP (Anthropic) is the transport layer — how AI agents talk to servers. The Agentic Web is an MCP Server Profile: a set of conventions for building your endpoint as a standard MCP server. Any MCP client works out of the box.

UCP (Google, Shopify, Walmart, Stripe) handles commerce — product discovery, cart, checkout, payments. If you sell products, UCP handles the transaction. The Agentic Web handles everything else: answering questions, qualifying buyers, scheduling demos, opening tickets.

A2A (Google) enables agents to talk to each other. When a user's AI assistant needs to negotiate with your company's AI agent, A2A handles that handoff.

You might implement all three: UCP for purchases, Agentic Web for knowledge and actions, A2A for agent-to-agent workflows. Or just one — they're independent.

Any MCP-compatible AI agent can connect to your endpoint automatically — Claude, ChatGPT, Gemini, custom agents built on foundation models, and future systems. There's no vendor lock-in; you own and host your MCP server. Implement once, work everywhere.