8
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创建基于关键词到Google Docs的研究支持型SEO内容简报

中级

这是一个Miscellaneous, AI RAG, Multimodal AI领域的自动化工作流,包含 10 个节点。主要使用 Code, GoogleDocs, FormTrigger, HttpRequest, Agent 等节点。 使用OpenAI和Firecrawl生成研究支持的SEO内容简报到Google Docs

前置要求
  • 可能需要目标 API 的认证凭证
  • OpenAI API Key
工作流预览
可视化展示节点连接关系,支持缩放和平移
导出工作流
复制以下 JSON 配置到 n8n 导入,即可使用此工作流
{
  "id": "qyhYS0xy7fCuyqLn",
  "meta": {
    "instanceId": "ec3694b688f9802e6ff1f61802ca6bc63a40ecfa76d32f2c71cfdf2978426fce",
    "templateCredsSetupCompleted": true
  },
  "name": "创建基于关键词到 Google Docs 的研究支持型 SEO 内容简报",
  "tags": [],
  "nodes": [
    {
      "id": "d0cbb365-b3df-430e-89a6-338bc316315e",
      "name": "表单提交时",
      "type": "n8n-nodes-base.formTrigger",
      "position": [
        0,
        0
      ],
      "webhookId": "e561604e-f1f9-445d-b734-d268da983895",
      "parameters": {
        "options": {
          "appendAttribution": false,
          "respondWithOptions": {
            "values": {
              "redirectUrl": "={{google_drive_folder_url}}",
              "respondWith": "redirect"
            }
          }
        },
        "formTitle": "VertoDigital Keyword to SEO Content Brief",
        "formFields": {
          "values": [
            {
              "html": "<div style=\"text-align:left !important; font-family:Arial, Helvetica, sans-serif; font-size:16px;\"> <p style=\"text-align:left !important; margin:0 0 24px 0; line-height:1.9;\"> Enter the primary keyword or topic for the content brief. This should represent the main focus of the SEO-optimized content you want to create. Once completed, you'll be redirected to a Google Drive folder containing your generated SEO content brief. </p> \n<p style=\"text-align:left !important; margin:0 0 24px 0; line-height:1.9;\">Here is how the workflow works:</p>\n<ol style=\"text-align:left !important; margin:0; padding-left:1.5rem; line-height:1.9;\"> <li style=\"text-align:left !important; margin:0 0 18px 0;\">Firecrawl searches the web for your keyword and scrapes the top 5 relevant pages (main content only).</li> <li style=\"text-align:left !important; margin:0 0 18px 0;\">GPT AI Agent (with Think) analyzes the sources and generates the content brief in Markdown.</li> <li style=\"text-align:left !important; margin:0 0 18px 0;\">The Markdown brief is converted and formatted for Google Docs.</li> <li style=\"text-align:left !important; margin:0 0 18px 0;\">A Google Doc titled “SEO Brief for &lt;Keyword&gt;” is created and populated.</li> <li style=\"text-align:left !important; margin:0 0 18px 0;\">You are redirected to the Google Drive folder containing your SEO content brief.</li> </ol> </div>",
              "fieldType": "html",
              "elementName": "Description"
            },
            {
              "fieldLabel": "Keyword/Topic",
              "placeholder": "Write your keyword/topic here",
              "requiredField": true
            }
          ]
        },
        "responseMode": "lastNode"
      },
      "notesInFlow": false,
      "typeVersion": 2.2
    },
    {
      "id": "c3ac02d5-67c7-4f24-8ae1-0af6ba9f4d79",
      "name": "FireCrawl 搜索与抓取",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        256,
        0
      ],
      "parameters": {
        "url": "https://api.firecrawl.dev/v2/search",
        "method": "POST",
        "options": {},
        "jsonBody": "={\n  \"query\": \"{{ $('On form submission').item.json['Keyword/Topic'] }}\",\n  \"sources\": [\n    \"web\"\n  ],\n  \"limit\": 5,\n  \"location\": \"United States\",\n  \"scrapeOptions\": {\n    \"onlyMainContent\": true,\n    \"maxAge\": 172800000,\n    \"parsers\": [\n      \"pdf\"\n    ],\n    \"formats\": [\n      \"markdown\",\n      \"links\"\n    ]\n  }\n}",
        "sendBody": true,
        "sendHeaders": true,
        "specifyBody": "json",
        "headerParameters": {
          "parameters": [
            {
              "name": "Authorization",
              "value": "Bearer {{API_KEY}}"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "8d7a216c-017e-49fa-a3dc-980aab03d32c",
      "name": "Markdown 转 JSON",
      "type": "n8n-nodes-base.code",
      "position": [
        816,
        0
      ],
      "parameters": {
        "jsCode": "// Markdown → Google Docs batchUpdate (safe ranges, compact spacing, proper headings/lists/inline)\n// Input: items[0].json.output (Markdown)\n// Output: { json: { requests: [...] } }\n\nconst rawInput = items[0].json.output ?? \"\";\n\n/* =========================\n   Helpers & Normalization\n   ========================= */\nfunction hexToRgb(hex) {\n  if (!hex || !hex.startsWith('#')) return null;\n  const r = parseInt(hex.slice(1, 3), 16) / 255;\n  const g = parseInt(hex.slice(3, 5), 16) / 255;\n  const b = parseInt(hex.slice(5, 7), 16) / 255;\n  return { red: r, green: g, blue: b };\n}\n\nfunction headingStyleForLevel(level) {\n  const map = { 1: 'HEADING_1', 2: 'HEADING_2', 3: 'HEADING_3', 4: 'HEADING_4', 5: 'HEADING_5', 6: 'HEADING_6' };\n  return map[level] || 'HEADING_1';\n}\n\n// Collapse 3+ blank lines → 2; trim trailing spaces\nfunction normalizeMarkdown(md) {\n  return md\n    .replace(/\\r\\n/g, '\\n')\n    .replace(/[ \\t]+\\n/g, '\\n')\n    .replace(/\\n{3,}/g, '\\n\\n')\n    .replace(/[ \\t]+$/gm, '');\n}\n\n// Parse inline markdown for one line\n// Returns { text, spans[] } where spans: { offsetStart, offsetEnd, bold?, italic?, link? }\nfunction parseInline(line) {\n  let text = line;\n  const spans = [];\n\n  // Handle your previous LINK markers if present (safety)\n  // \\u0001LINKSTART\\u0001Label\\u0001LINKURL:https://...\\u0001LINKEND\\u0001\n  if (text.includes('\\u0001LINKSTART\\u0001')) {\n    let acc = '';\n    for (let i = 0; i < text.length; ) {\n      if (text.startsWith('\\u0001LINKSTART\\u0001', i)) {\n        i += '\\u0001LINKSTART\\u0001'.length;\n        const urlTag = '\\u0001LINKURL:';\n        const endTag = '\\u0001LINKEND\\u0001';\n        const urlIdx = text.indexOf(urlTag, i);\n        const endIdx = text.indexOf(endTag, i);\n        const label = text.slice(i, urlIdx);\n        const url = text.slice(urlIdx + urlTag.length, endIdx);\n        const start = acc.length;\n        acc += label;\n        spans.push({ offsetStart: start, offsetEnd: start + label.length, link: url });\n        i = endIdx + endTag.length;\n      } else {\n        acc += text[i++];\n      }\n    }\n    text = acc;\n  }\n\n  // Markdown links: [label](url)\n  text = text.replace(/\\[([^\\]]+)\\]\\((https?:\\/\\/[^\\s)]+)\\)/g, (m, label, url) => {\n    const start = m.indexOf(label);\n    return `\\u0002L${label}\\u0002U${url}\\u0002E`;\n  });\n\n  // Bold+Italic ***text*** or ___text___\n  text = text.replace(/(\\*{3}|_{3})([\\s\\S]*?)\\1/g, (m, _w, inner) => `\\u0002BIS${inner}\\u0002BIE`);\n  // Bold **text** or __text__\n  text = text.replace(/(\\*{2}|__)([\\s\\S]*?)\\1/g, (m, _w, inner) => `\\u0002BS${inner}\\u0002BE`);\n  // Italic *text* or _text_\n  text = text.replace(/(\\*|_)([\\s\\S]*?)\\1/g, (m, _w, inner) => `\\u0002IS${inner}\\u0002IE`);\n\n  // Second pass: build clean text + spans\n  let clean = '';\n  for (let i = 0; i < text.length; ) {\n    if (text.startsWith('\\u0002L', i)) {\n      i += 2; // \\u0002 + 'L'\n      const uIdx = text.indexOf('\\u0002U', i);\n      const eIdx = text.indexOf('\\u0002E', i);\n      const label = text.slice(i, uIdx);\n      const url = text.slice(uIdx + 2, eIdx);\n      const start = clean.length;\n      clean += label;\n      spans.push({ offsetStart: start, offsetEnd: start + label.length, link: url });\n      i = eIdx + 2;\n      continue;\n    }\n    if (text.startsWith('\\u0002BIS', i)) {\n      i += 4;\n      const eIdx = text.indexOf('\\u0002BIE', i);\n      const inner = text.slice(i, eIdx);\n      const start = clean.length;\n      clean += inner;\n      spans.push({ offsetStart: start, offsetEnd: start + inner.length, bold: true, italic: true });\n      i = eIdx + 4;\n      continue;\n    }\n    if (text.startsWith('\\u0002BS', i)) {\n      i += 3;\n      const eIdx = text.indexOf('\\u0002BE', i);\n      const inner = text.slice(i, eIdx);\n      const start = clean.length;\n      clean += inner;\n      spans.push({ offsetStart: start, offsetEnd: start + inner.length, bold: true });\n      i = eIdx + 3;\n      continue;\n    }\n    if (text.startsWith('\\u0002IS', i)) {\n      i += 3;\n      const eIdx = text.indexOf('\\u0002IE', i);\n      const inner = text.slice(i, eIdx);\n      const start = clean.length;\n      clean += inner;\n      spans.push({ offsetStart: start, offsetEnd: start + inner.length, italic: true });\n      i = eIdx + 3;\n      continue;\n    }\n    clean += text[i++];\n  }\n  return { text: clean, spans };\n}\n\n/* =========================\n   Block-level parser\n   ========================= */\nfunction parseMarkdownToModel(md) {\n  const lines = normalizeMarkdown(md).split('\\n');\n\n  let docText = '';\n  const blocks = [];       // { start, end, kind: 'heading'|'paragraph'|'blockquote'|'hr'|'numbered'|'bulleted', level? }\n  const inlineSpans = [];  // { start, end, bold?, italic?, link? }\n  const listGroups = [];   // contiguous list ranges → { kind, start, end }\n  let cursor = 0;\n\n  function addListLine(kind, start, end) {\n    const last = listGroups[listGroups.length - 1];\n    if (last && last.kind === kind && last.end === start) last.end = end;\n    else listGroups.push({ kind, start, end });\n  }\n\n  for (let i = 0; i < lines.length; i++) {\n    const raw = lines[i];\n\n    // Horizontal rule\n    if (/^\\s*(?:-{3,}|_{3,}|\\*{3,})\\s*$/.test(raw)) {\n      const hr = '────────────────────────\\n';\n      const start = cursor;\n      docText += hr;\n      const end = cursor + hr.length;\n      blocks.push({ start, end, kind: 'hr' });\n      cursor = end;\n      continue;\n    }\n\n    // Headings\n    const h = raw.match(/^(\\s{0,3})(#{1,6})\\s+(.*)$/);\n    if (h) {\n      const level = h[2].length;\n      const { text, spans } = parseInline(h[3]);\n      const para = text + '\\n';\n      const start = cursor;\n      docText += para;\n      const end = cursor + para.length;\n      blocks.push({ start, end, kind: 'heading', level });\n      spans.forEach(sp => inlineSpans.push({ start: start + sp.offsetStart, end: start + sp.offsetEnd, bold: sp.bold, italic: sp.italic, link: sp.link }));\n      cursor = end;\n      continue;\n    }\n\n    // Blockquote\n    const bq = raw.match(/^\\s*>\\s?(.*)$/);\n    if (bq) {\n      const { text, spans } = parseInline(bq[1]);\n      const para = text + '\\n';\n      const start = cursor;\n      docText += para;\n      const end = cursor + para.length;\n      blocks.push({ start, end, kind: 'blockquote' });\n      spans.forEach(sp => inlineSpans.push({ start: start + sp.offsetStart, end: start + sp.offsetEnd, bold: sp.bold, italic: sp.italic, link: sp.link }));\n      cursor = end;\n      continue;\n    }\n\n    // Numbered list\n    const num = raw.match(/^\\s*\\d+\\.\\s+(.*)$/);\n    if (num) {\n      const { text, spans } = parseInline(num[1]);\n      const para = text + '\\n';\n      const start = cursor;\n      docText += para;\n      const end = cursor + para.length;\n      blocks.push({ start, end, kind: 'numbered' });\n      addListLine('numbered', start, end);\n      spans.forEach(sp => inlineSpans.push({ start: start + sp.offsetStart, end: start + sp.offsetEnd, bold: sp.bold, italic: sp.italic, link: sp.link }));\n      cursor = end;\n      continue;\n    }\n\n    // Bulleted list\n    const bul = raw.match(/^\\s*([-*•])\\s+(.*)$/);\n    if (bul) {\n      const { text, spans } = parseInline(bul[2]);\n      const para = text + '\\n';\n      const start = cursor;\n      docText += para;\n      const end = cursor + para.length;\n      blocks.push({ start, end, kind: 'bulleted' });\n      addListLine('bulleted', start, end);\n      spans.forEach(sp => inlineSpans.push({ start: start + sp.offsetStart, end: start + sp.offsetEnd, bold: sp.bold, italic: sp.italic, link: sp.link }));\n      cursor = end;\n      continue;\n    }\n\n    // Paragraph\n    {\n      const { text, spans } = parseInline(raw);\n      const para = text + '\\n';\n      const start = cursor;\n      docText += para;\n      const end = cursor + para.length;\n      blocks.push({ start, end, kind: 'paragraph' });\n      spans.forEach(sp => inlineSpans.push({ start: start + sp.offsetStart, end: start + sp.offsetEnd, bold: sp.bold, italic: sp.italic, link: sp.link }));\n      cursor = end;\n    }\n  }\n\n  return { docText, blocks, inlineSpans, listGroups };\n}\n\n/* =========================\n   Build requests (safe ranges)\n   ========================= */\nconst { docText, blocks, inlineSpans, listGroups } = parseMarkdownToModel(rawInput);\n\n// Insert at 1 to skip the first section break at 0\nconst baseOffset = 1;\nconst docLen = docText.length;\nconst bodyEndExclusive = baseOffset + docLen;\n\n// Safe range builder: clamp end < bodyEndExclusive (end is exclusive per API)\nfunction absRangeSafe(relStart, relEnd) {\n  const start = Math.max(baseOffset + relStart, baseOffset);\n  const maxEnd = Math.max(Math.min(baseOffset + relEnd, bodyEndExclusive - 1), start); // clamp exclusive\n  if (maxEnd <= start) return null; // skip zero/invalid\n  return { startIndex: start, endIndex: maxEnd };\n}\n\nconst requests = [];\n\n// 1) Insert full text\nrequests.push({ insertText: { location: { index: baseOffset }, text: docText } });\n\n// 2) Default text styling across the inserted range (clamped end)\nconst rAll = absRangeSafe(0, docLen);\nif (rAll) {\n  requests.push({\n    updateTextStyle: {\n      range: rAll,\n      textStyle: {\n        weightedFontFamily: { fontFamily: 'Sofia Sans' },\n        fontSize: { magnitude: 12.5, unit: 'PT' },\n        foregroundColor: { color: { rgbColor: hexToRgb('#0d1216') } }\n      },\n      fields: 'weightedFontFamily,fontSize,foregroundColor'\n    }\n  });\n}\n\n// 3) Headings & blockquotes (tight spacing to avoid big gaps)\nfor (const b of blocks) {\n  if (b.kind === 'heading') {\n    const rng = absRangeSafe(b.start, b.end);\n    if (!rng) continue;\n    requests.push({\n      updateParagraphStyle: {\n        range: rng,\n        paragraphStyle: {\n          namedStyleType: headingStyleForLevel(b.level),\n          alignment: 'START',\n          spaceAbove: { magnitude: 0, unit: 'PT' },\n          spaceBelow: { magnitude: 0, unit: 'PT' },\n          indentStart: { magnitude: 0, unit: 'PT' },\n          indentFirstLine: { magnitude: 0, unit: 'PT' }\n        },\n        fields: 'namedStyleType,alignment,spaceAbove,spaceBelow,indentStart,indentFirstLine'\n      }\n    });\n  } else if (b.kind === 'blockquote') {\n    const rng = absRangeSafe(b.start, b.end);\n    if (!rng) continue;\n    requests.push({\n      updateParagraphStyle: {\n        range: rng,\n        paragraphStyle: {\n          namedStyleType: 'NORMAL_TEXT',\n          alignment: 'START',\n          spaceAbove: { magnitude: 0, unit: 'PT' },\n          spaceBelow: { magnitude: 0, unit: 'PT' },\n          indentStart: { magnitude: 18, unit: 'PT' },\n          indentFirstLine: { magnitude: 18, unit: 'PT' }\n        },\n        fields: 'namedStyleType,alignment,spaceAbove,spaceBelow,indentStart,indentFirstLine'\n      }\n    });\n    requests.push({ updateTextStyle: { range: rng, textStyle: { italic: true }, fields: 'italic' } });\n  }\n}\n\n// 4) Lists (convert contiguous ranges to bullets; clamp ranges)\nfor (const g of listGroups) {\n  const rng = absRangeSafe(g.start, g.end);\n  if (!rng) continue;\n  requests.push({\n    createParagraphBullets: {\n      range: rng,\n      bulletPreset: g.kind === 'numbered' ? 'NUMBERED_DECIMAL_ALPHA_ROMAN' : 'BULLET_DISC_CIRCLE_SQUARE'\n    }\n  });\n}\n\n// 5) Inline styles (bold/italic/links)\nfor (const sp of inlineSpans) {\n  const rng = absRangeSafe(sp.start, sp.end);\n  if (!rng) continue;\n  const fields = [];\n  const textStyle = {};\n  if (sp.bold) { textStyle.bold = true; fields.push('bold'); }\n  if (sp.italic) { textStyle.italic = true; fields.push('italic'); }\n  if (sp.link) { textStyle.link = { url: sp.link }; fields.push('link'); }\n  if (!fields.length) continue;\n  requests.push({ updateTextStyle: { range: rng, textStyle, fields: fields.join(',') } });\n}\n\nreturn { json: { requests } };\n"
      },
      "typeVersion": 2
    },
    {
      "id": "320d3015-2fa6-4d54-b729-802025444f7e",
      "name": "创建文档",
      "type": "n8n-nodes-base.googleDocs",
      "position": [
        1040,
        0
      ],
      "parameters": {
        "title": "=SEO Brief for {{ $('On form submission').item.json['Keyword/Topic'] }}",
        "driveId": "sharedWithMe",
        "folderId": "={{google_drive_folder_id}}"
      },
      "credentials": {
        "googleDocsOAuth2Api": {
          "id": "M5Z3DWLrDsl5ycru",
          "name": "Google Docs account"
        }
      },
      "executeOnce": true,
      "typeVersion": 2
    },
    {
      "id": "d4c538c3-d527-4c96-99f0-e06b236aee10",
      "name": "更新文档",
      "type": "n8n-nodes-base.httpRequest",
      "onError": "continueRegularOutput",
      "position": [
        1264,
        0
      ],
      "parameters": {
        "url": "=https://docs.googleapis.com/v1/documents/{{ $('Create a document').item.json.id }}:batchUpdate",
        "method": "POST",
        "options": {},
        "jsonBody": "={{ JSON.stringify($('Markdown to JSON').item.json) }}",
        "sendBody": true,
        "specifyBody": "json",
        "authentication": "predefinedCredentialType",
        "nodeCredentialType": "googleDocsOAuth2Api"
      },
      "credentials": {
        "googleDocsOAuth2Api": {
          "id": "M5Z3DWLrDsl5ycru",
          "name": "Google Docs account"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "e46c8bdd-b125-4791-9b20-f09d0dea472d",
      "name": "AI Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        496,
        0
      ],
      "parameters": {
        "text": "=Here is the topic for the blog post:\n\n<topic>\n{{ $('On form submission').item.json['Keyword/Topic'] }}\n</topic>\n\nBelow are the top-ranking pages and their content for the target keyword. For each source, you'll find the content and its corresponding URL:\n\n\n<source_content_1>\n{{ $json.data.web[0].markdown }}\n<source_content_1>\n\n<source_url_1>\n{{ $json.data.web[0].url }}\n<source_url_1>\n\n<source_content_2>\n{{ $json.data.web[1].markdown }}\n<source_content_2>\n\n<source_url_2>\n{{ $json.data.web[1].url }}\n<source_url_2>\n\n<source_content_3>\n{{ $json.data.web[2].markdown }}\n<source_content_3>\n\n<source_url_3>\n{{ $json.data.web[2].url }}\n<source_url_3>\n\n<source_content_4>\n{{ $json.data.web[3].markdown }}\n<source_content_4>\n\n<source_url_4>\n{{ $json.data.web[3].url }}\n<source_url_4>\n\n<source_content_5>\n{{ $json.data.web[4].markdown }}\n<source_content_5>\n\n<source_url_5>\n{{ $json.data.web[4].url }}\n<source_url_5>\n\nYour task is to analyze these sources and create a unique, comprehensive content brief that incorporates best practices and insights from top-ranking content. Focus on providing valuable insights and a fresh perspective on the given topic while incorporating SEO best practices.\n\nBefore creating the content brief, use think tool and make a strategy and analysis. In your analysis, consider the following:\n\n1. For each source:\n   - List 3-5 key points\n   - Note any unique angles or perspectives\n   - Identify potential content gaps\n\n2. Compare and contrast the sources:\n   - Identify common themes across all sources (list at least 3)\n   - Note any conflicting information or viewpoints (if any)\n   - Highlight unique elements in each source\n\n3. Brainstorm 5 unique angles or perspectives not covered in the existing sources. Number each idea as you list it.\n\n4. Determine 3-5 content gaps and areas for improvement or expansion across all sources\n\n5. Outline 5 key SEO strategies to be implemented\n\n6. Suggest 3 visual or interactive content ideas that could enhance the article\n\n7. List 10 questions that the content should aim to answer. Number each question as you list it.\n\n8. Propose an overall approach to make the content competitive with top-ranking pages, including 5 specific strategies and tactics\n\nAfter your analysis, develop the content brief using the following structure:\n\nContent Brief for {{ $('On form submission').item.json['Keyword/Topic'] }}\n(H1) [Optimized Title] (5-10 words)\n\nTarget Keywords: [List primary keywords]\nSecondary Keywords: [List secondary keywords]\n\nIntroduction Guidelines: [2-3 sentences outlining the introduction]\n\nContent Structure:\n[H2] [Section Title]\n- [H3] [Subsection Title]\n  [Content guidelines and key points to cover]\n- [H3] [Subsection Title]\n  [Content guidelines and key points to cover]\n\n[H2] [Section Title]\n- [H3] [Subsection Title]\n  [Content guidelines and key points to cover]\n- [H3] [Subsection Title]\n  [Content guidelines and key points to cover]\n\n[Continue with additional H2 and H3 sections as needed]\n\nSEO Recommendations:\n- Semantic keywords: [List relevant semantic keywords]\n- Word count: [Recommended word count range]\n- Technical requirements: [Specific technical SEO recommendations]\n\nTop-Ranking References: [List the provided URLs]\n\nAdditional Content Guidelines:\n- [List any additional guidelines or requirements]\n\nSource Overview:\n[Provide a 4-5 sentence overview summarizing key insights from all sources]\n\n\nThe final format should be only a markdown with the content brief.\n\nRequirements:\n1. Include all major aspects of the topic in your content structure.\n2. Suggest at least one to three visual representation of a key concept related to the topic.\n3. If relevant, compare the main topic to a related concept or model.\n4. Total word count should be based on best SEO practices and the content lenght - n words.\n5. Incorporate semantic keywords naturally throughout the content brief.\n6. Identify opportunities for featured snippets, internal linking, and FAQs where relevant.\n7. Include the provided source URLs in the \"Top-ranking references\" section of the SEO Recommendations.\n8. Provide a concise 5-10 sentence overview of all sources at the end of the brief.\n9. 9. Everything should be in markdown format. Never write ```markdown in the beginning and ```\\n at the end, just start with the content.\n\nRemember to create a unique and comprehensive brief that goes beyond summarizing the existing content. Your goal is to provide a strategy for creating content that can compete with and surpass the top-ranking pages. The content structure provided is an example; adapt it as necessary for the specific topic given.",
        "options": {
          "systemMessage": "You are an expert content strategist and SEO specialist tasked with creating a comprehensive content brief for a blog post. Your goal is to analyze top-ranking content on a given topic and create a detailed outline that will help produce high-quality, SEO-optimized content that can compete with and surpass the top-ranking pages."
        },
        "promptType": "define"
      },
      "typeVersion": 1.7
    },
    {
      "id": "ba5808b2-ce45-4c2e-8cd9-87dcd11f4772",
      "name": "思考",
      "type": "@n8n/n8n-nodes-langchain.toolThink",
      "position": [
        656,
        208
      ],
      "parameters": {},
      "typeVersion": 1.1
    },
    {
      "id": "ee7a9941-823b-47e2-8196-51e1f19307a8",
      "name": "OpenAI 聊天模型",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        496,
        208
      ],
      "parameters": {
        "model": "gpt-4.1-mini",
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "SVy0dG502VH2c1j9",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "96050769-6142-44bb-9529-3079bd68d20e",
      "name": "便签",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        272,
        -832
      ],
      "parameters": {
        "width": 944,
        "height": 736,
        "content": "## 🟨 概览 — 从关键词到 Google Docs 创建 SEO 内容简报"
      },
      "typeVersion": 1
    },
    {
      "id": "0fcc0b14-172e-4b1f-ba32-bccbd66fd9ed",
      "name": "便签1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -592,
        -64
      ],
      "parameters": {
        "width": 528,
        "height": 272,
        "content": "## 🗒️ 设置清单(首次运行前执行)"
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "c1662ea4-210d-47f6-bf2f-fea975cacef1",
  "connections": {
    "Think": {
      "ai_tool": [
        [
          {
            "node": "AI Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "AI Agent": {
      "main": [
        [
          {
            "node": "Markdown to JSON",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Markdown to JSON": {
      "main": [
        [
          {
            "node": "Create a document",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Create a document": {
      "main": [
        [
          {
            "node": "Update a document",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "AI Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "On form submission": {
      "main": [
        [
          {
            "node": "FireCrawl Search & Scrape",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "FireCrawl Search & Scrape": {
      "main": [
        [
          {
            "node": "AI Agent",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}
常见问题

如何使用这个工作流?

复制上方的 JSON 配置代码,在您的 n8n 实例中创建新工作流并选择「从 JSON 导入」,粘贴配置后根据需要修改凭证设置即可。

这个工作流适合什么场景?

中级 - 杂项, AI RAG 检索增强, 多模态 AI

需要付费吗?

本工作流完全免费,您可以直接导入使用。但请注意,工作流中使用的第三方服务(如 OpenAI API)可能需要您自行付费。

工作流信息
难度等级
中级
节点数量10
分类3
节点类型8
难度说明

适合有一定经验的用户,包含 6-15 个节点的中等复杂度工作流

作者
Simeon Penev

Simeon Penev

@monkatagpt

AI-Powered Automation & Analytics I specialize in building AI workflows that streamline processes and reduce manual work. My main workflows are in the marketing field, but I can automate all kind of processes and integrate AI in them.

外部链接
在 n8n.io 查看

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