{ "id": "", "meta": { "templateCredsSetupCompleted": false }, "name": "Research keywords for content ideas with SE Ranking", "tags": [], "nodes": [ { "id": "142c3916-8a3b-42e6-9cff-d85e0ebe9678", "name": "When clicking 'Execute workflow'", "type": "n8n-nodes-base.manualTrigger", "position": [ 4816, 2256 ], "parameters": {}, "typeVersion": 1 }, { "id": "66a11c08-8d6d-4a26-af10-c3c27569b88b", "name": "Get longtail keywords", "type": "@seranking/n8n-nodes-seranking.seRanking", "position": [ 5200, 1776 ], "parameters": { "keyword": "digital marketing", "resource": "keywordResearch", "operation": "getLongtail", "additionalFields": { "limit": 50 } }, "credentials": { "seRankingApi": { "name": "" } }, "typeVersion": 1 }, { "id": "ba8a180d-222e-4bfa-8877-6b101d4f3383", "name": "Get question keywords", "type": "@seranking/n8n-nodes-seranking.seRanking", "position": [ 5184, 2064 ], "parameters": { "keyword": "digital marketing", "resource": "keywordResearch", "operation": "getQuestions", "additionalFields": { "limit": 50, "volumeFrom": 500, "difficultyTo": 50, "historyTrend": true } }, "credentials": { "seRankingApi": { "name": "" } }, "typeVersion": 1 }, { "id": "8b6e5354-3fe8-4df4-a359-6ad65ce50570", "name": "Get similar keywords", "type": "@seranking/n8n-nodes-seranking.seRanking", "position": [ 5136, 2336 ], "parameters": { "keyword": "digital marketing", "resource": "keywordResearch", "operation": "getSimilar", "additionalFields": { "limit": 50, "volumeFrom": 500, "difficultyTo": 50, "historyTrend": true } }, "credentials": { "seRankingApi": { "name": "" } }, "typeVersion": 1 }, { "id": "f88dbe26-3126-45ab-8d7a-2dd0c0af607c", "name": "Get related keywords", "type": "@seranking/n8n-nodes-seranking.seRanking", "position": [ 5136, 2624 ], "parameters": { "keyword": "digital marketing", "resource": "keywordResearch", "operation": "getRelated", "additionalFields": { "limit": 50, "volumeFrom": 500, "difficultyTo": 50, "historyTrend": true } }, "credentials": { "seRankingApi": { "name": "" } }, "typeVersion": 1 }, { "id": "c3934474-713b-4cd0-83a3-3b3a279aa41d", "name": "Merge all keyword types", "type": "n8n-nodes-base.merge", "position": [ 5456, 2256 ], "parameters": { "numberInputs": 4 }, "typeVersion": 3 }, { "id": "9e937807-6e2e-43f2-a1d3-9952528518f4", "name": "Analyze & Score Keywords for Content", "type": "n8n-nodes-base.code", "position": [ 5680, 2256 ], "parameters": { "jsCode": "// Content Generation Keyword Analyzer\nconst allInput = $input.all();\nconst timestamp = new Date().toISOString().split('T')[0];\nlet allKeywords = [];\nconst seenKeywords = new Set();\n\n// Extract and deduplicate keywords from all sources\nallInput.forEach((item, sectionIndex) => {\n const section = item.json;\n \n if (!section || !section.keywords || !Array.isArray(section.keywords)) {\n return;\n }\n \n section.keywords.forEach(kw => {\n // Handle both string and object keyword formats\n const keywordText = typeof kw === 'string' ? kw : kw.keyword;\n const keywordLower = keywordText.toLowerCase().trim();\n \n // Skip duplicates\n if (seenKeywords.has(keywordLower)) {\n return;\n }\n seenKeywords.add(keywordLower);\n \n // For object keywords with full metrics\n if (typeof kw === 'object' && kw.keyword) {\n // Calculate opportunity score (0-100)\n const volumeScore = Math.min((kw.volume || 0) / 10000, 1) * 40;\n const difficultyScore = (100 - (kw.difficulty || 0)) / 100 * 40;\n const cpcScore = Math.min((kw.cpc || 0) / 20, 1) * 20;\n const opportunityScore = Math.round(volumeScore + difficultyScore + cpcScore);\n \n // Determine search intent\n let intent = 'informational';\n const kwText = keywordText.toLowerCase();\n \n if (kwText.match(/\\\\b(buy|purchase|price|cost|cheap|deal|discount|order)\\\\b/)) {\n intent = 'transactional';\n } else if (kwText.match(/\\\\b(best|top|review|vs|versus|compare|alternative)\\\\b/)) {\n intent = 'commercial';\n } else if (kwText.match(/\\\\b(how|what|why|when|where|guide|tutorial|tips|learn)\\\\b/)) {\n intent = 'informational';\n } else if (kwText.match(/\\\\b(login|sign up|download|free trial|official)\\\\b/)) {\n intent = 'navigational';\n }\n \n // Suggest content type\n let contentType = 'blog post';\n \n if (kwText.startsWith('how to') || kwText.includes('step by step')) {\n contentType = 'how-to guide';\n } else if (kwText.startsWith('what is') || kwText.startsWith('why is')) {\n contentType = 'explainer article';\n } else if (kwText.match(/\\\\?$/)) {\n contentType = 'FAQ / Q&A';\n } else if (kwText.match(/\\\\b(best|top [0-9]|top ten)\\\\b/)) {\n contentType = 'listicle';\n } else if (kwText.match(/\\\\b(vs|versus|compare|comparison)\\\\b/)) {\n contentType = 'comparison article';\n } else if (kwText.includes('guide') || kwText.includes('complete')) {\n contentType = 'comprehensive guide';\n } else if (kwText.match(/\\\\b(review|reviews)\\\\b/)) {\n contentType = 'review article';\n } else if (kwText.match(/\\\\b(tips|strategies|tactics|ideas)\\\\b/)) {\n contentType = 'tips & tactics';\n }\n \n // Analyze trend\n let trendStatus = 'stable';\n let trendAvg = 0;\n let trendDirection = 0;\n \n if (kw.history_trend && typeof kw.history_trend === 'object') {\n const trendValues = Object.values(kw.history_trend);\n if (trendValues.length >= 6) {\n const recent3 = trendValues.slice(-3).reduce((a, b) => a + b, 0) / 3;\n const older3 = trendValues.slice(0, 3).reduce((a, b) => a + b, 0) / 3;\n trendAvg = Math.round(trendValues.reduce((a, b) => a + b, 0) / trendValues.length);\n \n if (recent3 > older3 * 1.3) {\n trendStatus = 'trending up';\n trendDirection = Math.round(((recent3 - older3) / older3) * 100);\n } else if (recent3 < older3 * 0.7) {\n trendStatus = 'trending down';\n trendDirection = Math.round(((recent3 - older3) / older3) * 100);\n }\n }\n }\n \n // Calculate estimated monthly traffic (CTR assumptions)\n let estimatedTraffic = 0;\n if (kw.volume) {\n // Assume 30% CTR for position 1, 15% for 2-3, 10% for 4-5, 5% for 6-10\n // For content generation, estimate top 5 ranking potential\n estimatedTraffic = Math.round(kw.volume * 0.15);\n }\n \n // Priority classification\n let priority = 'LOW';\n if (opportunityScore >= 70) {\n priority = 'HIGH';\n } else if (opportunityScore >= 50) {\n priority = 'MEDIUM';\n }\n \n // Extract SERP features and intents if available\n const serpFeatures = kw.serp_features ? \n (Array.isArray(kw.serp_features) ? kw.serp_features.join('; ') : kw.serp_features) : '';\n const intents = kw.intents ? \n (Array.isArray(kw.intents) ? kw.intents.join('; ') : kw.intents) : intent;\n \n allKeywords.push({\n date: timestamp,\n keyword: keywordText,\n volume: kw.volume || 0,\n cpc: kw.cpc || 0,\n difficulty: kw.difficulty || 0,\n competition: kw.competition || 0,\n relevance: kw.relevance || null,\n opportunity_score: opportunityScore,\n priority: priority,\n search_intent: intents || intent,\n content_type: contentType,\n trend_status: trendStatus,\n trend_direction_pct: trendDirection,\n trend_avg_volume: trendAvg,\n estimated_monthly_traffic: estimatedTraffic,\n serp_features: serpFeatures,\n section_source: sectionIndex === 0 ? 'longtail' : \n sectionIndex === 1 ? 'questions' : \n sectionIndex === 2 ? 'similar' : 'related'\n });\n }\n // For simple string keywords\n else {\n allKeywords.push({\n date: timestamp,\n keyword: keywordText,\n volume: 0,\n cpc: 0,\n difficulty: 0,\n competition: 0,\n relevance: null,\n opportunity_score: 0,\n priority: 'UNKNOWN',\n search_intent: 'unknown',\n content_type: 'blog post',\n trend_status: 'unknown',\n trend_direction_pct: 0,\n trend_avg_volume: 0,\n estimated_monthly_traffic: 0,\n serp_features: '',\n section_source: sectionIndex === 0 ? 'longtail' : \n sectionIndex === 1 ? 'questions' : \n sectionIndex === 2 ? 'similar' : 'related'\n });\n }\n });\n});\n\n// Sort by opportunity score descending\nallKeywords.sort((a, b) => b.opportunity_score - a.opportunity_score);\n\nreturn allKeywords.map(kw => ({ json: kw }));" }, "typeVersion": 2 }, { "id": "203c0b4a-02ae-4f81-b55a-4ee80d894542", "name": "Export to Google Sheets", "type": "n8n-nodes-base.googleSheets", "position": [ 5904, 2256 ], "parameters": { "operation": "appendOrUpdate", "sheetName": { "__rl": true, "mode": "id", "value": "", "cachedResultUrl": "", "cachedResultName": "" }, "documentId": { "__rl": true, "mode": "id", "value": "", "cachedResultUrl": "", "cachedResultName": "" } }, "credentials": { "googleSheetsOAuth2Api": { "name": "" } }, "typeVersion": 4.7 }, { "id": "92482d94-bb31-4b29-bc3e-9fee8a7d461b", "name": "Overview", "type": "n8n-nodes-base.stickyNote", "position": [ 4208, 1744 ], "parameters": { "color": 5, "width": 504, "height": 768, "content": "## Research keywords for content ideas\n\n## Who is this for\n- Content creators planning articles\n- SEO professionals finding opportunities\n- Marketing teams building content calendars\n\n## What you'll get\n- Longtail, question, similar, and related keywords\n- Opportunity scores based on volume, difficulty, and CPC\n- Search intent classification\n- Content type suggestions\n- Trend analysis with historical data\n- Traffic estimates and priority rankings\n- All results exported to Google Sheets\n\n## How it works\n1. Fetches 4 keyword types from SE Ranking\n2. Merges and deduplicates results\n3. Analyzes with scoring algorithm\n4. Detects search intent and suggests content types\n5. Exports to Google Sheets\n\n## Setup steps\n1. Install SE Ranking community node\n2. Add SE Ranking API credentials\n3. Update seed keyword in all 4 nodes\n4. Connect Google Sheets credentials\n5. Select your spreadsheet\n\n## Customization\nAdjust volume and difficulty filters in nodes or modify scoring formula in Code node." }, "typeVersion": 1 }, { "id": "24ca7591-012a-46a9-b926-aabe61d29b54", "name": "Longtail Keywords", "type": "n8n-nodes-base.stickyNote", "position": [ 5120, 1936 ], "parameters": { "color": 4, "width": 280, "height": 80, "content": "### Longtail Keywords\nRetrieves up to 50 longtail variations. Update the keyword parameter with your target topic." }, "typeVersion": 1 }, { "id": "1301ca6b-46e8-4dae-b3b1-58fd3e3176bd", "name": "Question Keywords", "type": "n8n-nodes-base.stickyNote", "position": [ 5088, 2224 ], "parameters": { "color": 4, "width": 280, "height": 80, "content": "### Question Keywords\nFinds question-based keywords with min 500 volume and max 50 difficulty. Perfect for FAQ content." }, "typeVersion": 1 }, { "id": "3f605bab-6964-4d8e-b843-dc65c7000407", "name": "Similar Keywords", "type": "n8n-nodes-base.stickyNote", "position": [ 5056, 2496 ], "parameters": { "color": 4, "width": 280, "height": 80, "content": "### Similar Keywords\nGets semantically similar keywords with the same filters. Helps expand topic coverage." }, "typeVersion": 1 }, { "id": "3f7bdb82-c609-414c-a707-3e27fed960df", "name": "Related Keywords", "type": "n8n-nodes-base.stickyNote", "position": [ 5056, 2784 ], "parameters": { "color": 4, "width": 280, "height": 80, "content": "### Related Keywords\nFinds related suggestions based on your seed term. Uncovers adjacent topics." }, "typeVersion": 1 }, { "id": "ca07827d-d588-4ca3-8fa2-f21ab6aa52cd", "name": "Merge Results", "type": "n8n-nodes-base.stickyNote", "position": [ 5440, 2496 ], "parameters": { "color": 4, "height": 80, "content": "### Merge Results\nCombines all 4 keyword sources into a single dataset." }, "typeVersion": 1 }, { "id": "1ad7b71d-8f83-411d-a901-9ff17a91c8ee", "name": "Analysis", "type": "n8n-nodes-base.stickyNote", "position": [ 5616, 2080 ], "parameters": { "color": 4, "content": "### Analysis\nScores keywords by volume, difficulty, and CPC. Detects search intent, suggests content types, and assigns priority rankings." }, "typeVersion": 1 }, { "id": "de459f21-44b9-4a5e-b503-18735e26e9b7", "name": "Export", "type": "n8n-nodes-base.stickyNote", "position": [ 5904, 2128 ], "parameters": { "color": 4, "height": 80, "content": "### Export\nAppends analyzed keywords to Google Sheets with 17 columns including metrics and recommendations." }, "typeVersion": 1 } ], "active": false, "settings": { "availableInMCP": false, "executionOrder": "v1" }, "versionId": "", "connections": { "Get related keywords": { "main": [ [ { "node": "Merge all keyword types", "type": "main", "index": 3 } ] ] }, "Get similar keywords": { "main": [ [ { "node": "Merge all keyword types", "type": "main", "index": 2 } ] ] }, "Get longtail keywords": { "main": [ [ { "node": "Merge all keyword types", "type": "main", "index": 0 } ] ] }, "Get question keywords": { "main": [ [ { "node": "Merge all keyword types", "type": "main", "index": 1 } ] ] }, "Merge all keyword types": { "main": [ [ { "node": "Analyze & Score Keywords for Content", "type": "main", "index": 0 } ] ] }, "When clicking 'Execute workflow'": { "main": [ [ { "node": "Get longtail keywords", "type": "main", "index": 0 }, { "node": "Get question keywords", "type": "main", "index": 0 }, { "node": "Get similar keywords", "type": "main", "index": 0 }, { "node": "Get related keywords", "type": "main", "index": 0 } ] ] }, "Analyze & Score Keywords for Content": { "main": [ [ { "node": "Export to Google Sheets", "type": "main", "index": 0 } ] ] } } }