ランディングページアナライザー

中級

これはAI Summarization, Multimodal AI分野の自動化ワークフローで、10個のノードを含みます。主にForm, Markdown, FormTrigger, HttpRequest, Agentなどのノードを使用。 ランディングページ分析エージェント

前提条件
  • ターゲットAPIの認証情報が必要な場合あり
  • Google Gemini API Key
ワークフロープレビュー
ノード接続関係を可視化、ズームとパンをサポート
ワークフローをエクスポート
以下のJSON設定をn8nにインポートして、このワークフローを使用できます
{
  "id": "YYiCCvfGPMJ8gAnt",
  "meta": {
    "instanceId": "061ca141d020a6e1355b8c7fe05f92a699e37e92079ad2e150a506ee8bbe9e11",
    "templateCredsSetupCompleted": true
  },
  "name": "Landing Page Analyzer",
  "tags": [],
  "nodes": [
    {
      "id": "950a73f5-aecb-4844-add2-c244f0a946a7",
      "name": "フォーム送信時",
      "type": "n8n-nodes-base.formTrigger",
      "position": [
        1008,
        128
      ],
      "webhookId": "57604090-1df3-41ca-8d55-1002798a1721",
      "parameters": {
        "options": {
          "appendAttribution": false
        },
        "formTitle": "Landing Page Optimizer",
        "formFields": {
          "values": [
            {
              "fieldLabel": "Your Landing Page Url",
              "placeholder": "https://example.anything",
              "requiredField": true
            }
          ]
        },
        "formDescription": "Make Your Page Convert Like a Top 1% Funnel"
      },
      "typeVersion": 2.2
    },
    {
      "id": "fcede911-8351-4b6b-9daa-3a6fa9d68473",
      "name": "HTTP Request",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1232,
        128
      ],
      "parameters": {
        "url": "={{ $json['Your Landing Page Url'] }}",
        "options": {}
      },
      "typeVersion": 4.2
    },
    {
      "id": "3f28ef06-fdbf-4488-8136-7826a1a0293a",
      "name": "Markdown",
      "type": "n8n-nodes-base.markdown",
      "position": [
        1440,
        128
      ],
      "parameters": {
        "html": "={{ $json.data }}",
        "options": {}
      },
      "typeVersion": 1
    },
    {
      "id": "1254e722-ebdc-4421-af8c-fa61e3096944",
      "name": "AIエージェント",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        1648,
        128
      ],
      "parameters": {
        "text": "={{ $json.data }}",
        "options": {
          "systemMessage": "=You are a world-class Conversion Rate Optimization (CRO) expert.\n\nYour mission is to analyze my landing page and return with the most important actions the business should take to improve conversions. No fluff, no filler — just what matters most.\n\n🎯 YOUR RESPONSE MUST FOLLOW THIS STRUCTURE:\n\n1) Each item should start with a strong action verb (e.g., Replace, Add, Remove, Rewrite, Rearrange, Clarify, Simplify, Make visible, etc.)\n\n2) Be specific. Tell me exactly what to do — what headline to change, what section to remove, what to add and where.\n\n3) Every recommendation must be based on the actual landing page content. No generic advice.\n\n4) Prioritize modern, high-impact CRO ideas relevant to 2024 digital audiences.\n\n5) Keep it easy to understand and implement. No heavy dev work required.\n\n6) Focus on conversion levers: clarity, relevance, trust, desire, urgency, and friction reduction.\n"
        },
        "promptType": "define"
      },
      "typeVersion": 2
    },
    {
      "id": "0d7250e0-8b9d-4626-a748-f7c056e2999b",
      "name": "フォーム",
      "type": "n8n-nodes-base.form",
      "position": [
        2320,
        128
      ],
      "webhookId": "a80f45af-8f8a-480b-922b-264691668bb7",
      "parameters": {
        "options": {},
        "operation": "completion",
        "completionTitle": "Here are 5 Things You Should Improve 🧐",
        "completionMessage": "=1. {{ $json.output['Improvement Tip 1'] }}\n\n2. {{ $json.output['Improvement Tip 2'] }}\n\n3. {{ $json.output['Improvement Tip 3'] }}\n\n4. {{ $json.output['Improvement Tip 4'] }} \n\n5. {{ $json.output['Improvement Tip 5'] }} "
      },
      "typeVersion": 1
    },
    {
      "id": "1db518d9-3c1f-4c20-84f4-167684f959e9",
      "name": "情報抽出ツール",
      "type": "@n8n/n8n-nodes-langchain.informationExtractor",
      "position": [
        1984,
        128
      ],
      "parameters": {
        "text": "={{ $json.output }}",
        "options": {},
        "attributes": {
          "attributes": [
            {
              "name": "Improvement Tip 1",
              "description": "=The 1st most important improvement tip without any symbol, add relevent Emoji"
            },
            {
              "name": "Improvement Tip 2",
              "description": "The 2nd most important improvement tip without any symbol, add relevant Emoji"
            },
            {
              "name": "Improvement Tip 3",
              "description": "The 3rd most important improvement tip without any symbol, add relevant Emoji"
            },
            {
              "name": "Improvement Tip 4",
              "description": "The 4th most important improvement tip without any symbol, add relevant Emoji"
            },
            {
              "name": "Improvement Tip 5",
              "description": "The 5th most important improvement tip without any symbol, add relevant Emoji"
            }
          ]
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "08cf9cfe-7328-4de6-bd33-c0e2295c9e35",
      "name": "付箋",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        0,
        0
      ],
      "parameters": {
        "color": 6,
        "width": 840,
        "height": 600,
        "content": "# 🛠 Setup Guide  \n## **Author:** [Rakin Jakaria](https://www.youtube.com/@rakinjakaria)\n\nFollow these steps to get your Landing Page Analyzer workflow up and running: \n\n1. **Configure Google Gemini API Credentials**  \n   - Navigate to the \"Google Gemini Chat Model\" node in your workflow.  \n   - Ensure your Google Gemini (PaLM) API credentials are properly set up in your N8N instance.  \n   - If you don't have an API key, obtain one from [Google AI Studio](https://aistudio.google.com/apikey).  \n\n2. **Test the Webhook Form (Optional)**  \n   - The workflow starts with a form submission trigger.  \n   - If you plan to embed this in a website or app, ensure the webhook URL is correctly configured and accessible.  \n\n3. **Verify HTTP Request Node**  \n   - The workflow fetches the landing page content via HTTP.  \n   - Ensure the target URLs are publicly accessible and not behind authentication.  \n\n4. **Review AI Agent Instructions**  \n   - The AI Agent node includes a system prompt for CRO analysis.  \n   - Customize the prompt if needed to align with your specific goals or industry.  \n\nOnce these steps are complete, your Landing Page Analyzer is ready to use! Submit a URL via the form to receive actionable CRO improvements. 🚀"
      },
      "typeVersion": 1
    },
    {
      "id": "938a192a-8474-4bd6-8471-e0617cdf9c74",
      "name": "付箋1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        944,
        0
      ],
      "parameters": {
        "color": 6,
        "width": 1620,
        "height": 580,
        "content": "## Landing Page Analyzer"
      },
      "typeVersion": 1
    },
    {
      "id": "18698e25-23ce-4ca2-834c-e7cdd0521588",
      "name": "Gemini 2.5 Flash",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        1808,
        432
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "googlePalmApi": {
          "id": "uIFmTaGcf3XXfitE",
          "name": "Google Gemini(PaLM) Api account 2"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "2f1293bc-cfef-425f-9988-161836bcf8b2",
      "name": "付箋3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        208,
        -528
      ],
      "parameters": {
        "color": 6,
        "width": 480,
        "height": 464,
        "content": "## Start here: Step-by Step Youtube Tutorial :star:\n[![I Built an Auto Lead Finder AI Agent](https://img.youtube.com/vi/gsFl25jw-7I/sddefault.jpg)](https://youtu.be/gsFl25jw-7I)"
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "0f6ecd02-d6ef-4d36-a122-4f8f07852ecd",
  "connections": {
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    },
    "3f28ef06-fdbf-4488-8136-7826a1a0293a": {
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            "type": "main",
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    },
    "fcede911-8351-4b6b-9daa-3a6fa9d68473": {
      "main": [
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    },
    "18698e25-23ce-4ca2-834c-e7cdd0521588": {
      "ai_languageModel": [
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            "type": "ai_languageModel",
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    "950a73f5-aecb-4844-add2-c244f0a946a7": {
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    "1db518d9-3c1f-4c20-84f4-167684f959e9": {
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  }
}
よくある質問

このワークフローの使い方は?

上記のJSON設定コードをコピーし、n8nインスタンスで新しいワークフローを作成して「JSONからインポート」を選択、設定を貼り付けて認証情報を必要に応じて変更してください。

このワークフローはどんな場面に適していますか?

中級 - AI要約, マルチモーダルAI

有料ですか?

このワークフローは完全無料です。ただし、ワークフローで使用するサードパーティサービス(OpenAI APIなど)は別途料金が発生する場合があります。

ワークフロー情報
難易度
中級
ノード数10
カテゴリー2
ノードタイプ8
難易度説明

経験者向け、6-15ノードの中程度の複雑さのワークフロー

外部リンク
n8n.ioで表示

このワークフローを共有

カテゴリー

カテゴリー: 34