Lookio、Linkup、そして GPT-5 を使って二源エキスパート記事の作成
上級
これは自動化ワークフローで、21個のノードを含みます。主にSet, SplitOut, Aggregate, FormTrigger, HttpRequestなどのノードを使用。 Lookio、Linkup、GPT-5 を使用して二来源の専門記事を作成
前提条件
- •ターゲットAPIの認証情報が必要な場合あり
- •OpenAI API Key
使用ノード (21)
カテゴリー
-
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
{
"nodes": [
{
"id": "7bf61071-1e5c-4a4f-a187-86322f7870fd",
"name": "新規コンテンツ - 調査質問を生成",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
-1024,
528
],
"parameters": {
"text": "=Content title: {{ $json.Title }}\n\nArticle guidelines: {{ $json.Guidelines }}\n\n",
"messages": {
"messageValues": [
{
"message": "=You will receive a content title and an angle. Return 5–8 non-overlapping questions in JSON array format that cover everything needed to write excellent content as it breaks down the topic into sub-questions.\n\nGuidelines: \n- Start with simple, short broad questions for example to define the terms (e.g., What is X?, Why is X important?, How to do X?). \n- Then move into more specific, advanced, or analytical questions. \n- Ensure questions together form a complete coverage of the topic. \n\n## Output format:\n\nYou'll return the questions in such a JSON ARRAY:\n\n[\n {\n \"question\": \"Lorem ipsum dolor sit amet, consectetur adipiscing elit?\"\n },\n {\n \"question\": \"Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua?\"\n },\n {\n \"question\": \"Lorem ipsum dolor sit amet?\"\n },\n {\n \"question\": \"Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua, ut enim ad minim veniam?\"\n },\n {\n \"question\": \"Lorem ipsum dolor sit amet, consectetur?\"\n }\n]"
}
]
},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 1.5
},
{
"id": "1b690964-85a5-4b63-8bc0-bdcabda04687",
"name": "新規コンテンツ - AI出力を生成",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
144,
-48
],
"parameters": {
"text": "=Article title:\n\n{{ $('Prepare form values').first().json.Title }}\n\nArticle guidelines:\n\n{{ $('Prepare form values').first().json.Guidelines }}\n\n\nContent to leverage:\n\nThis detailed Q&A research provides high-quality knowledge, insights, and sources for your content. Each question features insights from our internal knowledge base and insights found on the web. Be sure to include source links in your output whenever a source was used.\n\n{{ JSON.stringify($json['Content to leverage'], null, 2) }}\n",
"messages": {
"messageValues": [
{
"message": "=# Role\n\nYour role is to write an article based on the request in the user message.\n\n# What the user message contains\n\nThe user message includes the article title, any guidelines to follow, and comprehensive research material. This research is the sole basis for your article — do not invent information beyond it. When the research includes source links, integrate them smoothly as hyperlinks in the article.\n\n# How to write good articles\n\nYou excel at writing articles by making sure that they deliver value, are concise, seem like they are human-written, not using typical AI useless sentence formulations.\n\n# Your output format\n\nOutput only the full article.\n\n* Begin with a `# H1` title.\n* Use subheadings throughout the article."
}
]
},
"promptType": "define"
},
"typeVersion": 1.5
},
{
"id": "2bcda6a8-4a48-4f93-be65-8dc21116d2dd",
"name": "新規記事フォーム",
"type": "n8n-nodes-base.formTrigger",
"position": [
-1568,
528
],
"webhookId": "38617360-598d-40c5-a07a-9214085a87e2",
"parameters": {
"options": {},
"formTitle": "New article",
"formFields": {
"values": [
{
"fieldLabel": "Article title",
"placeholder": "10 ways to do Influencer Marketing in 2025",
"requiredField": true
},
{
"fieldLabel": "Article guidelines",
"placeholder": "Promote xyz and write in British English...",
"requiredField": true
}
]
},
"formDescription": "Fill in this form to trigger the generation of a new article."
},
"typeVersion": 2.3
},
{
"id": "06e35599-9ab1-445b-aa1e-7a04ea798c8a",
"name": "フォーム値を準備",
"type": "n8n-nodes-base.set",
"position": [
-1312,
528
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "ec4734ed-654f-478a-ab90-91bfcee1e208",
"name": "Title",
"type": "string",
"value": "={{ $json['Article title'] }}"
},
{
"id": "c034402e-a7b9-4c91-aaed-f24a838c3d91",
"name": "Guidelines",
"type": "string",
"value": "={{ $json['Article guidelines'] }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "ddd15121-9dd9-48e0-90cf-5f3970e43564",
"name": "構造化出力パーサー",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
-896,
752
],
"parameters": {
"jsonSchemaExample": "[\n {\n \"question\": \"Lorem ipsum dolor sit amet, consectetur adipiscing elit?\"\n },\n {\n \"question\": \"Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua?\"\n },\n {\n \"question\": \"Lorem ipsum dolor sit amet?\"\n },\n {\n \"question\": \"Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua, ut enim ad minim veniam?\"\n },\n {\n \"question\": \"Lorem ipsum dolor sit amet, consectetur?\"\n }\n]"
},
"typeVersion": 1.2
},
{
"id": "bbf1d36c-9cfa-4bb0-b1b1-7403493bd836",
"name": "GPT 5 mini",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
-1024,
752
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-5-mini",
"cachedResultName": "gpt-5-mini"
},
"options": {
"reasoningEffort": "low"
}
},
"credentials": {
"openAiApi": {
"id": "dMiSy27YCK6c6rra",
"name": "Duv's OpenAI"
}
},
"typeVersion": 1.2
},
{
"id": "1472aa87-3e1a-4ca1-8985-4e4a37ea6544",
"name": "質問を分割",
"type": "n8n-nodes-base.splitOut",
"position": [
-608,
528
],
"parameters": {
"options": {},
"fieldToSplitOut": "output"
},
"typeVersion": 1
},
{
"id": "d49ae369-48e2-4566-9d46-f532abd54213",
"name": "質問をループ処理",
"type": "n8n-nodes-base.splitInBatches",
"position": [
-352,
512
],
"parameters": {
"options": {}
},
"typeVersion": 3
},
{
"id": "ceb186a4-09ba-4cf2-bb3d-3ff8f9677d13",
"name": "GPT 5 chat",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
224,
176
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-5-chat-latest",
"cachedResultName": "gpt-5-chat-latest"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "dMiSy27YCK6c6rra",
"name": "Duv's OpenAI"
}
},
"typeVersion": 1.2
},
{
"id": "2b8a4dbb-0920-432c-a4b0-8cb08a49a1ea",
"name": "記事結果",
"type": "n8n-nodes-base.set",
"position": [
560,
-48
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "d3b8c4bc-27d9-4d57-b8d6-3a40b84d7b7d",
"name": "Article",
"type": "string",
"value": "={{ $json.text }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "6f55841c-a444-4f2a-ab9d-ebd7b2dd222a",
"name": "付箋",
"type": "n8n-nodes-base.stickyNote",
"position": [
-96,
512
],
"parameters": {
"color": 7,
"width": 224,
"height": 368,
"content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nConnect your [lookio.app](https://www.lookio.app) credentials & set the ID of the Assistant to query"
},
"typeVersion": 1
},
{
"id": "f167aab8-2d09-4748-9eba-74bbd8acae27",
"name": "付箋1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1152,
-256
],
"parameters": {
"width": 832,
"height": 560,
"content": "# Expert AI Article Writer - Knowledge base + Web\n\nThis isn't just a writer; it's an automated research and content team. It generates high-quality, reliable articles by grounding the entire process in *your own* knowledge base.\n\n## How it works\n1. **Decompose:** An AI planner breaks your article topic into a series of sub-questions.\n2. **Research:** It queries your **Lookio Assistant** to gather insights from your internal knowledge base and queries **Linkup** to gather insights from the web.\n3. **Write:** A final, powerful AI writes the article based *only* on this verified research, including source links.\n\n## How to use\n1. **Set up in Lookio:** First, build your assistant in **Lookio** with your knowledge sources and get your **API Token** & **Assistant ID**.\n2. **Configure this workflow:**\n * Connect your **AI provider** to the LLM nodes.\n * In the **Query Lookio Assistant** node, add your **Assistant ID** and **API Token**.\n * In the **Query Linkup for AI web-search** node, add your Linkup **credentials**.\n3. **Run:** Use the form to enter a title and guidelines, and let the workflow generate your article.\n\n\n*A template built by Guillaume Duvernay*"
},
"typeVersion": 1
},
{
"id": "7a895183-d6fc-4a09-bd3a-ec90e633a040",
"name": "付箋2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-448,
384
],
"parameters": {
"color": 6,
"width": 1232,
"height": 608,
"content": "## Answering each sub-question one by one with Lookio for internal knowledge insights & Linkup for web-insights"
},
"typeVersion": 1
},
{
"id": "e1be0351-9071-446c-acab-2640f776b2ea",
"name": "付箋3",
"type": "n8n-nodes-base.stickyNote",
"position": [
80,
-208
],
"parameters": {
"color": 5,
"width": 368,
"height": 512,
"content": "## AI step writing the final article based on the research and initial request"
},
"typeVersion": 1
},
{
"id": "6a0492ec-fd4c-449c-ab88-d8dcdd02f9b1",
"name": "付箋4",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1152,
384
],
"parameters": {
"color": 6,
"width": 480,
"height": 608,
"content": "## Breaking down the topic into sub-questions"
},
"typeVersion": 1
},
{
"id": "fa485a6a-d18e-4ff6-a808-9e3deb904c0f",
"name": "付箋5",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1648,
400
],
"parameters": {
"color": 4,
"width": 272,
"height": 304,
"content": "## Fill in this form to request a new article"
},
"typeVersion": 1
},
{
"id": "13a04bfc-4e36-48fa-8c3e-c0104a959c8f",
"name": "Lookioアシスタントに問い合わせ",
"type": "n8n-nodes-base.httpRequest",
"position": [
-32,
560
],
"parameters": {
"url": "https://api.lookio.app/webhook/query",
"method": "POST",
"options": {},
"sendBody": true,
"sendHeaders": true,
"bodyParameters": {
"parameters": [
{
"name": "query",
"value": "={{ $json.question }}"
},
{
"name": "assistant_id",
"value": "<YOUR ASSISTANT ID>"
},
{
"name": "query_mode",
"value": "flash"
}
]
},
"headerParameters": {
"parameters": [
{
"name": "api_key",
"value": "<YOUR API KEY>"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "3fe8d920-61d3-410c-bba5-0a42ac0783f2",
"name": "質問と洞察をフォーマット",
"type": "n8n-nodes-base.set",
"position": [
592,
768
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "1e33a1f4-a1a2-4962-ac72-cc518d7ff043",
"name": "Question",
"type": "string",
"value": "={{ $('Loop Over Questions').item.json.question }}"
},
{
"id": "0c1e6dbd-11cf-49b0-8105-f4736c5102aa",
"name": "Internal knowledge insights",
"type": "string",
"value": "={{ $('Query Lookio Assistant').item.json.Output }}"
},
{
"id": "903bcf38-13dd-48fb-8eb3-83f7a232aa53",
"name": "Web insights",
"type": "array",
"value": "={{ $json.insights }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "881dfbff-7917-49cc-9584-6e43ada8fe8e",
"name": "付箋6",
"type": "n8n-nodes-base.stickyNote",
"position": [
208,
512
],
"parameters": {
"color": 7,
"width": 224,
"height": 368,
"content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nConnect your linkup.so credentials (adding your API key in the header or using \"generic credentials\" that you've stored for Linkup)."
},
"typeVersion": 1
},
{
"id": "6bc89e0a-ab8d-44ff-bbda-d36764791fc1",
"name": "LinkupにAIウェブ検索を問い合わせ",
"type": "n8n-nodes-base.httpRequest",
"position": [
272,
560
],
"parameters": {
"url": "https://api.linkup.so/v1/search",
"method": "POST",
"options": {},
"sendBody": true,
"authentication": "genericCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "q",
"value": "=Find 5 specific and meaningful insights about the topic:\n\n\"{{ $('Loop Over Questions').item.json.question }}\"\n\nthat would strengthen an article paragraph. Each insight should be a concrete finding, statistic, research result, or illustrative example (not just generic background), and should come from a robust source."
},
{
"name": "depth",
"value": "standard"
},
{
"name": "outputType",
"value": "structured"
},
{
"name": "structuredOutputSchema",
"value": "={\n \"type\": \"object\",\n \"properties\": {\n \"insights\": {\n \"description\": \"A list of 5 insights about the topic\",\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"insight\": {\n \"description\": \"A one-sentence key insight, finding, or example about the topic\",\n \"type\": \"string\"\n },\n \"url\": {\n \"description\": \"The URL of the source where the insight is from\",\n \"type\": \"string\"\n },\n \"title\": {\n \"description\": \"The title of the page containing the insight\",\n \"type\": \"string\"\n }\n },\n \"required\": [\"insight\", \"url\", \"title\"]\n }\n }\n }\n}"
},
{
"name": "includeImages",
"value": "=false"
}
]
},
"genericAuthType": "httpBearerAuth"
},
"credentials": {
"httpBearerAuth": {
"id": "W7AgeoVOv60DlvyS",
"name": "Linkup - web search AI"
}
},
"typeVersion": 4.2
},
{
"id": "74d00282-becc-4bd2-a853-fd90abac6ce6",
"name": "調査結果を統合",
"type": "n8n-nodes-base.aggregate",
"position": [
-112,
160
],
"parameters": {
"options": {},
"aggregate": "aggregateAllItemData",
"destinationFieldName": "Content to leverage"
},
"typeVersion": 1
}
],
"connections": {
"ceb186a4-09ba-4cf2-bb3d-3ff8f9677d13": {
"ai_languageModel": [
[
{
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"type": "ai_languageModel",
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}
]
]
},
"bbf1d36c-9cfa-4bb0-b1b1-7403493bd836": {
"ai_languageModel": [
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"type": "ai_languageModel",
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}
]
]
},
"2bcda6a8-4a48-4f93-be65-8dc21116d2dd": {
"main": [
[
{
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"type": "main",
"index": 0
}
]
]
},
"d49ae369-48e2-4566-9d46-f532abd54213": {
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"type": "main",
"index": 0
}
],
[
{
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"type": "main",
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]
]
},
"06e35599-9ab1-445b-aa1e-7a04ea798c8a": {
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"type": "main",
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]
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},
"1472aa87-3e1a-4ca1-8985-4e4a37ea6544": {
"main": [
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{
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"type": "main",
"index": 0
}
]
]
},
"13a04bfc-4e36-48fa-8c3e-c0104a959c8f": {
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[
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"type": "main",
"index": 0
}
]
]
},
"74d00282-becc-4bd2-a853-fd90abac6ce6": {
"main": [
[
{
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"type": "main",
"index": 0
}
]
]
},
"ddd15121-9dd9-48e0-90cf-5f3970e43564": {
"ai_outputParser": [
[
{
"node": "7bf61071-1e5c-4a4f-a187-86322f7870fd",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"3fe8d920-61d3-410c-bba5-0a42ac0783f2": {
"main": [
[
{
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"type": "main",
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"6bc89e0a-ab8d-44ff-bbda-d36764791fc1": {
"main": [
[
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"1b690964-85a5-4b63-8bc0-bdcabda04687": {
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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?
上級
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。
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