Agentic Web

Agentic Web / NLWeb / MCP

Upgrade Your Website to an Agentic Web

The traditional web is 'operated by humans'; the web ahead is 'executed by AI.' We build a next-generation agentic web where users and AI can converse with your website in natural language.

Embed an AI agent with one line of code and support Microsoft NLWeb and MCP. We leverage your existing web assets — Schema.org, RSS, and more — to enable natural-language interaction without a full redesign.

NLWebMCPAI AgentVector DBSchema.org

Why It Matters

Users are tired of searching and are leaving. They don't surface in search, bounce between pages, and turn to external AI when they can't find answers — this is the lost opportunity of today's web.

01

Fragmented Information

Only those who know the right keywords surface in search; others never reach the information they need.

02

Lost & Exhausted

Users click through page after page, open link after link, and still wonder 'where is this written?'

03

Drop-off (Lost Opportunity)

Overwhelmed and unable to find answers, users leave — and turn to external AI instead.

What is the Agentic Web?

The agentic web is a web foundation where AI agents autonomously retrieve information, make decisions, and take actions to accomplish the user's goals. While the traditional web assumed 'humans operate it,' the web going forward is designed on the premise that 'AI executes.'

Today, users who don't know the right keywords never surface in search, click through page after page looking for information, and leave when they can't find it. The agentic web lets users complete searches and actions simply by stating their goal in natural language — eliminating the lost opportunities caused by 'search fatigue.'

The foundation for this is Microsoft's NLWeb (Natural Language Web). It delivers a new UX where users ask the web in natural language and get answers instantly — opened up to both people and AI through structured data and APIs.

3 Updates for Your Site

Conversational UX That Prevents Drop-off

Just say 'I want to find X' or 'I want to book Y.' Users reach their goal instantly without relying on forms or filters, dramatically improving UX and reducing drop-off before lead capture.

AI Agents That Operate Your Site

AI accesses your site externally and autonomously retrieves information or performs actions like booking via data and APIs. We set up a common protocol (MCP) accessible to multiple models such as GPT and Claude.

Reduced Hallucinations

Because answers are generated from your structured first-party information, the risk of misinformation common to general generative AI is reduced — always delivering the latest, accurate data to users and AI.

How We Deliver

STEP 01

Current-State Audit

Inventory existing web assets like Schema.org and RSS, and organize the data needed for conversation.

STEP 02

Vector DB Build

Vectorize existing data and store it in Elasticsearch / Qdrant, supplementing what's missing.

STEP 03

Agent Deployment

Add the AI agent to your site with a single tag, tuning color, greeting, and more.

STEP 04

MCP Integration

Build an MCP server so AI can autonomously perform booking, search, and other actions.

STEP 05

Measure & Improve

Measure AI recognition and answer accuracy with AIO analytics and continuously optimize.

💡 Because we reuse your existing Schema.org structured data and RSS feeds as-is, no full redesign is needed. We deploy a conversational search experience quickly, built on your current web assets.

Our Service

Service 01

Add an AI Agent with One Line of Code

Turn on-site search into a conversational experience

Add a single tag to embed an AI agent (chat) on your site. Users simply ask 'tell me about X' in a chat-like flow, and the AI summarizes your site's information and answers instantly. Answers display links to source articles to ensure trust, and users can dig deeper with follow-up questions while context is preserved.

  • Go live with a single tag
  • Summarize on-site information and answer instantly
  • Source-article links to ensure trust
  • Context-aware follow-up questions
  • Customize chat color, icon, and greeting via GUI

Service 02

Vector DB Construction & Data Setup

Leverage your existing web assets as-is

No full redesign required. We reuse your existing Schema.org structured data and RSS feeds as-is, vectorize them in natural language, store them in vector DBs like Elasticsearch / Qdrant, and supplement only what's missing. Your existing site data powers a conversational search experience that can be deployed quickly.

  • Reuse existing Schema.org and RSS feeds
  • Vectorization and storage in Elasticsearch / Qdrant
  • Supplementary design for missing structured data
  • Data registration, update, and deletion from the admin panel
  • Unified management of multiple domains (corporate, recruiting, etc.)

Service 03

MCP Support & Agent Integration

A web AI can operate autonomously

We build MCP servers and design function calls so AI agents can access your website directly. AI can autonomously perform actions like booking, search, and inventory checks, and we provide a common protocol that multiple AI models such as GPT and Claude can access safely.

  • MCP server construction and function-call design
  • Automated actions: booking, search, inventory checks
  • Common protocol for multiple AI models (GPT / Claude, etc.)
  • Secure access control and authentication design
  • Effectiveness measurement and continuous improvement with AIO analytics

Use Cases Across Your Business

Corporate Sites

Instantly answer questions about company profile and IR, impressing investors and partners with transparency.

Product / Service Pages

Resolve detailed questions about features and specs on the spot, preventing pre-lead drop-off and boosting CVR.

E-Commerce

Transform product search into a more intuitive, efficient natural-language buying experience.

Support / FAQ

Learn from manuals and existing FAQs to respond automatically 24/7, cutting human support costs.

Internal Knowledge

Make vast internal documents searchless, automating inquiries to HR, accounting, and back office.

Integration with AIO Analytics

AI Recognition Analysis & Continuous Optimization

We analyze how well your site is recognized by generative AI and AI search, and benchmark against competitors. Based on the results, we refine structured data such as Schema.org and RSS so your site is correctly understood by AI, and continuously raise effectiveness with regular optimization reports.

Tech Stack

Protocol

  • NLWeb
  • MCP
  • Schema.org
  • RSS

Vector DB

  • Elasticsearch
  • Qdrant
  • pgvector
  • Pinecone

AI / LLM

  • OpenAI API
  • Claude API
  • Gemini API

Framework

  • LangChain
  • LlamaIndex
  • Vercel AI SDK

Infra

  • Next.js
  • Vercel
  • Cloudflare Workers

Ready to upgrade your site into a web users and AI can talk to?

  • Want to add an AI agent with one line of code
  • Want conversational search built on existing Schema.org / RSS
  • Want AI to autonomously book and search via MCP support

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