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Agentic Search refers to information retrieval performed by autonomous AI agents that act on behalf of users to complete multi-step goals. Unlike standard search (finding links), agentic search involves planning, reasoning, and executing actions like comparing options, making bookings, or purchasing products without human intervention.

AI検索
Automation
AI Agents

Why Agentic Search is the Future of Commerce

The web is evolving from "Read-Only" to "Act-For-Me." Traditional search requires humans to click links, browse pages, compare options, and complete transactions manually. Agentic search flips this model—an AI agent receives a command like "Book a hotel in Paris under $200" and autonomously searches multiple sites, compares prices, reads reviews, and completes the booking. For businesses, this means your website must be machine-readable via APIs and structured data (JSON-LD) so agents can interact with your inventory, pricing, and checkout systems. Companies not prepared for agentic interactions will become invisible as agents bypass websites that lack programmatic access.

Traditional Keyword Search vs. Agentic Search

アスペクト
なし
With Agentic
User Input
Types keywords: "hotels paris"
States goal: "Book a hotel in Paris"
User Effort
Clicks 5-10 links, manually compares
Agent handles everything autonomously
Business Requirement
SEO-optimized landing pages
API access + structured data schemas
Transaction
User completes checkout manually
Agent completes transaction end-to-end

現実世界の影響

以前
現在のアプローチ
📋 シナリオ

User searches "flights to Tokyo"

⚙️ 起こること

Visits 4 airline sites, compares manually

📉
事業への影響

Takes 30 minutes, user gets decision fatigue

その後
最適化された解
📋 シナリオ

User tells AI agent "Book cheapest flight to Tokyo"

⚙️ 起こること

Agent scans 20 sites via APIs, finds best deal

📈
事業への影響

Books flight in 30 seconds, user approves final selection

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