{ "name": "Case 77 - PR Manager - Brand Mention Tracker", "nodes": [ { "parameters": { "rule": { "interval": [ { "field": "cronExpression", "expression": "0 9 * * 1" } ] } }, "type": "n8n-nodes-base.scheduleTrigger", "typeVersion": 1.2, "position": [ -688, -224 ], "id": "6b40d214-e574-4d42-b699-9c49c6a1bd0f", "name": "Weekly Schedule - Monday 9 AM" }, { "parameters": { "actorId": { "__rl": true, "value": "buIWk2uOUzTmcLsuB", "mode": "list", "cachedResultName": "Linkedin Post Search Scraper (No Cookies) (harvestapi/linkedin-post-search)", "cachedResultUrl": "https://console.apify.com/actors/buIWk2uOUzTmcLsuB/input" }, "customBody": "{\n \"authorUrls\": [\n \"https://www.linkedin.com/in/tech-journalist-1\",\n \"https://www.linkedin.com/in/industry-analyst-2\",\n \"https://www.linkedin.com/company/techcrunch\",\n \"https://www.linkedin.com/company/theverge\",\n \"https://www.linkedin.com/company/wired\",\n \"https://www.linkedin.com/in/thought-leader-1\",\n \"https://www.linkedin.com/in/influencer-2\",\n \"https://www.linkedin.com/company/competitor-company-1\",\n \"https://www.linkedin.com/company/partner-company-1\"\n ],\n \"searchKeywords\": [\n \"YourBrand\",\n \"YourProduct\",\n \"YourCEO\",\n \"competitor to YourBrand\"\n ],\n \"maxPosts\": 50,\n \"postedLimit\": \"week\",\n \"scrapeComments\": false,\n \"scrapeReactions\": false\n}" }, "type": "@apify/n8n-nodes-apify.apify", "typeVersion": 1, "position": [ -496, -224 ], "id": "78a45d8c-8fbd-471c-9490-677cb6b6941b", "name": "Scrape LinkedIn Brand Mentions", "credentials": { "apifyApi": { "id": "w5S6YBbbyUddEfQA", "name": "Apify account" } } }, { "parameters": { "resource": "Datasets", "datasetId": "={{ $json.defaultDatasetId }}" }, "type": "@apify/n8n-nodes-apify.apify", "typeVersion": 1, "position": [ -304, -224 ], "id": "2c7ab61f-27e7-4956-8f3d-4b36ef7ac47e", "name": "Get Dataset Items", "credentials": { "apifyApi": { "id": "w5S6YBbbyUddEfQA", "name": "Apify account" } } }, { "parameters": { "modelId": { "__rl": true, "value": "gpt-4o-mini", "mode": "list", "cachedResultName": "GPT-4o-mini" }, "responses": { "values": [ { "role": "system", "content": "=You are a Brand Mention Validation Expert.\n\nAnalyze LinkedIn posts to determine if they are genuine brand mentions worth tracking.\n\nReturn ONLY valid JSON in this exact format:\n{\n \"is_brand_mention\": \"yes|no\",\n \"confidence\": 0.95,\n \"reason\": \"brief explanation\"\n}\n\nCriteria for \"yes\" (genuine brand mention):\n✅ Direct mention of brand/product/company name\n✅ Discussion of brand's products or services\n✅ Comparison with brand (competitive analysis)\n✅ Review or experience with brand\n✅ Partnership or collaboration announcement involving brand\n✅ News article or media coverage about brand\n✅ CEO or leadership quoted or referenced\n✅ Customer testimonial or case study\n\nCriteria for \"no\" (NOT a brand mention):\n❌ Brand name used in unrelated context\n❌ Coincidental keyword match (e.g., \"apple\" the fruit vs Apple the company)\n❌ Self-promotion by brand's own official account (unless analyzing competitors)\n❌ Generic industry discussion without specific brand focus\n❌ Spam or promotional posts\n❌ Job postings mentioning brand casually\n❌ Comments/replies (not original posts)\n\nRules:\n1. confidence: 0-1 scale (0.9+ for very clear brand mentions)\n2. reason: 1 sentence explaining the decision\n3. Be strict - require actual substantive brand discussion\n4. Return ONLY the JSON object, no explanations" }, { "content": "=Analyze this LinkedIn post to determine if it's a genuine brand mention:\n\nAuthor: {{ $json.author.name }}\nPost Date: {{ $json.postedAt.date }}\nPost Content: {{ $json.content }}\n\nReturn only JSON." } ] }, "builtInTools": {}, "options": {} }, "type": "@n8n/n8n-nodes-langchain.openAi", "typeVersion": 2.1, "position": [ -64, -224 ], "id": "b02c7f46-a139-4cea-bb03-3f002a4a1c5a", "name": "AI Validation Filter", "credentials": { "openAiApi": { "id": "ICwxUBbatsF2sDvy", "name": "OpenAi account" } } }, { "parameters": { "jsCode": "// UNIVERSAL AI RESPONSE PARSER - Same code for ALL cases\nconst items = [];\nconst input = $input.all();\n\nfunction extractJSON(text) {\n const jsonMatch = text.match(/\\{[\\s\\S]*\\}/);\n if (!jsonMatch) return null;\n return jsonMatch[0];\n}\n\ninput.forEach((item, index) => {\n try {\n let aiText = item.json.output[0].content[0].text || '';\n \n // Clean markdown code blocks\n aiText = aiText\n .replace(/```json/gi, '')\n .replace(/```/g, '')\n .trim();\n \n // Extract JSON object\n const jsonStr = extractJSON(aiText);\n \n if (!jsonStr) {\n throw new Error('No JSON found in AI response');\n }\n \n // Parse and return clean JSON\n const parsed = JSON.parse(jsonStr);\n items.push({ json: parsed });\n \n } catch (error) {\n console.error(`Parse error for item ${index}:`, error.message);\n // Return empty object on error - no case-specific fields\n items.push({ json: {} });\n }\n});\n\nreturn items;" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 288, -224 ], "id": "abd1ba93-4355-41e8-b371-25af7cbd41d2", "name": "Parse AI Validation" }, { "parameters": { "assignments": { "assignments": [ { "id": "is_brand_mention", "name": "is_brand_mention", "value": "={{ $json.is_brand_mention }}", "type": "string" }, { "id": "confidence", "name": "confidence", "value": "={{ $json.confidence }}", "type": "number" }, { "id": "reason", "name": "reason", "value": "={{ $json.reason }}", "type": "string" } ] }, "options": {} }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ 480, -224 ], "id": "1348d52c-bde1-4932-b1f1-b1343b5a5b1c", "name": "Edit Fields - Validation" }, { "parameters": { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 1 }, "conditions": [ { "id": "condition-001", "leftValue": "={{ $json.is_brand_mention }}", "rightValue": "yes", "operator": { "type": "string", "operation": "equals" } } ], "combinator": "and" }, "options": {} }, "type": "n8n-nodes-base.filter", "typeVersion": 2, "position": [ 672, -224 ], "id": "64fcfc22-39e7-40f0-b0b2-3c54d367c601", "name": "Filter Only Brand Mentions" }, { "parameters": { "modelId": { "__rl": true, "value": "gpt-4o-mini", "mode": "list", "cachedResultName": "GPT-4o-mini" }, "responses": { "values": [ { "role": "system", "content": "=You are a Brand Mention Intelligence Analyst.\n\nExtract structured brand mention information from LinkedIn posts.\n\nReturn ONLY valid JSON in this exact format:\n{\n \"mention_type\": \"Product|Company|Leadership|Partnership|Criticism|Review|News|Comparison\",\n \"context\": \"What was being discussed when brand was mentioned (max 150 chars)\",\n \"tone\": \"Positive|Negative|Neutral|Mixed\",\n \"reach_indicator\": \"High|Medium|Low - based on author's follower count or engagement\",\n \"key_claims\": \"Main points made about the brand (max 200 chars)\",\n \"response_needed\": \"Yes|No - Does this require brand response?\",\n \"opportunity_type\": \"Partnership|Testimonial|Case Study|Crisis Management|Media Outreach|None\",\n \"journalist_flag\": \"Yes|No - Is author from media/press?\"\n}\n\nExtraction Rules:\n1. mention_type: Categorize the primary reason for mention\n2. context: Brief summary of discussion topic\n3. tone: Overall sentiment toward brand\n4. reach_indicator: Assess based on engagement metrics (High = 1000+ engagement, Medium = 100-999, Low = <100)\n5. key_claims: Extract what they said about brand\n6. response_needed: Yes if criticism, question, or opportunity requiring action\n7. opportunity_type: Identify PR/marketing opportunity if present\n8. journalist_flag: Yes if author is journalist/media (check profile info)\n\nReturn ONLY the JSON object, no explanations." }, { "content": "=Extract brand mention intelligence from this LinkedIn post:\n\nAuthor: {{ $('Get Dataset Items').item.json.author.name }}\nAuthor Info: {{ $('Get Dataset Items').item.json.author.info }}\nPost Date: {{ $('Get Dataset Items').item.json.postedAt.date }}\nPost Content: {{ $('Get Dataset Items').item.json.content }}\nEngagement: {{ $('Get Dataset Items').item.json.engagement.likes }} likes, {{ $('Get Dataset Items').item.json.engagement.comments }} comments\n\nReturn only JSON." } ] }, "builtInTools": {}, "options": {} }, "type": "@n8n/n8n-nodes-langchain.openAi", "typeVersion": 2.1, "position": [ 832, -224 ], "id": "d261a291-280e-47b5-92e0-41f170be4366", "name": "AI Extract Brand Intelligence", "credentials": { "openAiApi": { "id": "ICwxUBbatsF2sDvy", "name": "OpenAi account" } } }, { "parameters": { "jsCode": "// UNIVERSAL AI RESPONSE PARSER - Same code for ALL cases\nconst items = [];\nconst input = $input.all();\n\nfunction extractJSON(text) {\n const jsonMatch = text.match(/\\{[\\s\\S]*\\}/);\n if (!jsonMatch) return null;\n return jsonMatch[0];\n}\n\ninput.forEach((item, index) => {\n try {\n let aiText = item.json.output[0].content[0].text || '';\n \n // Clean markdown code blocks\n aiText = aiText\n .replace(/```json/gi, '')\n .replace(/```/g, '')\n .trim();\n \n // Extract JSON object\n const jsonStr = extractJSON(aiText);\n \n if (!jsonStr) {\n throw new Error('No JSON found in AI response');\n }\n \n // Parse and return clean JSON\n const parsed = JSON.parse(jsonStr);\n items.push({ json: parsed });\n \n } catch (error) {\n console.error(`Parse error for item ${index}:`, error.message);\n // Return empty object on error - no case-specific fields\n items.push({ json: {} });\n }\n});\n\nreturn items;" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 1168, -224 ], "id": "3197ed65-55f1-4415-a3b0-7285ad48ae4c", "name": "Parse AI Response" }, { "parameters": { "assignments": { "assignments": [ { "id": "timestamp", "name": "analysis_timestamp", "value": "={{ new Date().toISOString() }}", "type": "string" }, { "id": "author_name", "name": "author_name", "value": "={{ $('Get Dataset Items').item.json.author?.name || 'unknown' }}", "type": "string" }, { "id": "author_profile", "name": "author_profile", "value": "={{ $('Get Dataset Items').item.json.author?.linkedinUrl || '' }}", "type": "string" }, { "id": "author_info", "name": "author_info", "value": "={{ $('Get Dataset Items').item.json.author?.info || '' }}", "type": "string" }, { "id": "mention_type", "name": "mention_type", "value": "={{ $json.mention_type }}", "type": "string" }, { "id": "context", "name": "context", "value": "={{ $json.context }}", "type": "string" }, { "id": "tone", "name": "tone", "value": "={{ $json.tone }}", "type": "string" }, { "id": "reach", "name": "reach_indicator", "value": "={{ $json.reach_indicator }}", "type": "string" }, { "id": "claims", "name": "key_claims", "value": "={{ $json.key_claims }}", "type": "string" }, { "id": "response", "name": "response_needed", "value": "={{ $json.response_needed }}", "type": "string" }, { "id": "opportunity", "name": "opportunity_type", "value": "={{ $json.opportunity_type }}", "type": "string" }, { "id": "journalist", "name": "journalist_flag", "value": "={{ $json.journalist_flag }}", "type": "string" }, { "id": "post_content", "name": "post_content", "value": "={{ $('Get Dataset Items').item.json.content || '' }}", "type": "string" }, { "id": "post_date", "name": "post_date", "value": "={{ $('Get Dataset Items').item.json.postedAt?.date || '' }}", "type": "string" }, { "id": "post_url", "name": "post_url", "value": "={{ $('Get Dataset Items').item.json.linkedinUrl || '' }}", "type": "string" }, { "id": "likes", "name": "likes_count", "value": "={{ $('Get Dataset Items').item.json.engagement?.likes || 0 }}", "type": "number" }, { "id": "comments", "name": "comments_count", "value": "={{ $('Get Dataset Items').item.json.engagement?.comments || 0 }}", "type": "number" }, { "id": "shares", "name": "shares_count", "value": "={{ $('Get Dataset Items').item.json.engagement?.shares || 0 }}", "type": "number" }, { "id": "total_engagement", "name": "engagement_total", "value": "={{ ($('Get Dataset Items').item.json.engagement?.likes || 0) + ($('Get Dataset Items').item.json.engagement?.comments || 0) + ($('Get Dataset Items').item.json.engagement?.shares || 0) }}", "type": "number" } ] }, "options": {} }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ 1344, -224 ], "id": "21535397-ba6a-4040-9ad8-23b0bf1b232b", "name": "Edit Fields" }, { "parameters": { "operation": "append", "documentId": { "__rl": true, "value": "1rTsn-WNgXXqtJmrPp-pnnciYqqLgDntp7C8rCd83hGU", "mode": "list", "cachedResultName": "Case 77 - Brand Mention Log", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1rTsn-WNgXXqtJmrPp-pnnciYqqLgDntp7C8rCd83hGU/edit?usp=drivesdk" }, "sheetName": { "__rl": true, "value": "gid=0", "mode": "list", "cachedResultName": "Sheet1", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1rTsn-WNgXXqtJmrPp-pnnciYqqLgDntp7C8rCd83hGU/edit#gid=0" }, "columns": { "mappingMode": "defineBelow", "value": { "Analysis_Date": "={{ $json.analysis_timestamp }}", "Author_Name": "={{ $json.author_name }}", "Author_Info": "={{ $json.author_info }}", "Mention_Type": "={{ $json.mention_type }}", "Context": "={{ $json.context }}", "Tone": "={{ $json.tone }}", "Reach_Indicator": "={{ $json.reach_indicator }}", "Key_Claims": "={{ $json.key_claims }}", "Response_Needed": "={{ $json.response_needed }}", "Opportunity_Type": "={{ $json.opportunity_type }}", "Journalist_Flag": "={{ $json.journalist_flag }}", "Post_Date": "={{ $json.post_date }}", "Likes": "={{ $json.likes_count }}", "Comments": "={{ $json.comments_count }}", "Shares": "={{ $json.shares_count }}", "Total_Engagement": "={{ $json.engagement_total }}", "Post_URL": "={{ $json.post_url }}", "Post_Content": "={{ $json.post_content }}" }, "matchingColumns": [], "schema": [ { "id": "Analysis_Date", "displayName": "Analysis_Date", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Author_Name", "displayName": "Author_Name", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Author_Info", "displayName": "Author_Info", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Mention_Type", "displayName": "Mention_Type", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Context", "displayName": "Context", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Tone", "displayName": "Tone", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Reach_Indicator", "displayName": "Reach_Indicator", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Key_Claims", "displayName": "Key_Claims", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Response_Needed", "displayName": "Response_Needed", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Opportunity_Type", "displayName": "Opportunity_Type", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Journalist_Flag", "displayName": "Journalist_Flag", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Post_Date", "displayName": "Post_Date", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Likes", "displayName": "Likes", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Comments", "displayName": "Comments", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Shares", "displayName": "Shares", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Total_Engagement", "displayName": "Total_Engagement", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Post_URL", "displayName": "Post_URL", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Post_Content", "displayName": "Post_Content", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true } ], "attemptToConvertTypes": false, "convertFieldsToString": false }, "options": {} }, "type": "n8n-nodes-base.googleSheets", "typeVersion": 4.7, "position": [ 1536, -224 ], "id": "9e7f9a3d-a777-4dd2-8dec-5fe62c54d431", "name": "Log to Google Sheet", "credentials": { "googleSheetsOAuth2Api": { "id": "LOs2dbk9lby0NfDM", "name": "Google Sheets account" } } }, { "parameters": { "jsCode": "// Aggregate all items from Google Sheets into email-ready summary\nconst allItems = $input.all();\n\n// Count by mention type\nconst mentionTypeCounts = {};\nallItems.forEach(item => {\n const type = item.json.Mention_Type || 'Other';\n mentionTypeCounts[type] = (mentionTypeCounts[type] || 0) + 1;\n});\n\n// Count by tone\nconst toneCounts = {};\nallItems.forEach(item => {\n const tone = item.json.Tone || 'Neutral';\n toneCounts[tone] = (toneCounts[tone] || 0) + 1;\n});\n\n// Count requiring response\nconst responseNeeded = allItems.filter(item => \n item.json.Response_Needed === 'Yes'\n).length;\n\n// Count journalists\nconst journalistMentions = allItems.filter(item => \n item.json.Journalist_Flag === 'Yes'\n).length;\n\n// Count by opportunity type\nconst opportunityCounts = {};\nallItems.forEach(item => {\n const opp = item.json.Opportunity_Type || 'None';\n if (opp !== 'None') {\n opportunityCounts[opp] = (opportunityCounts[opp] || 0) + 1;\n }\n});\n\n// High reach mentions\nconst highReachMentions = allItems.filter(item => \n item.json.Reach_Indicator === 'High'\n);\n\n// Negative mentions requiring attention\nconst negativeMentions = allItems.filter(item => \n item.json.Tone === 'Negative' || item.json.Tone === 'Mixed'\n);\n\n// Build HTML table rows\nconst tableRows = allItems.map(item => {\n const data = item.json;\n const toneColor = data.Tone === 'Positive' ? '#28a745' : \n data.Tone === 'Negative' ? '#dc3545' : \n data.Tone === 'Mixed' ? '#ffc107' : '#6c757d';\n \n return `\n \n ${data.Author_Name || 'N/A'}\n ${data.Mention_Type || 'N/A'}\n ${data.Tone || 'N/A'}\n ${data.Reach_Indicator || 'N/A'}\n ${data.Response_Needed || 'N/A'}\n ${data.Opportunity_Type || 'N/A'}\n View\n \n `;\n}).join('');\n\n// Return single aggregated item\nreturn {\n json: {\n week_start: new Date(Date.now() - 7*24*60*60*1000).toISOString().split('T')[0],\n week_end: new Date().toISOString().split('T')[0],\n total_mentions: allItems.length,\n mention_type_breakdown: Object.entries(mentionTypeCounts),\n tone_breakdown: Object.entries(toneCounts),\n response_needed_count: responseNeeded,\n journalist_mentions_count: journalistMentions,\n opportunity_breakdown: Object.entries(opportunityCounts),\n high_reach_count: highReachMentions.length,\n negative_mentions_count: negativeMentions.length,\n table_rows: tableRows,\n all_mentions: allItems.map(item => item.json)\n }\n};" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 1728, -224 ], "id": "85d53432-ac10-4c1f-bac3-2e5649c72671", "name": "Aggregate Weekly Summary" }, { "parameters": { "sendTo": "pr-team@yourcompany.com", "subject": "=📊 Weekly Brand Mention Report: {{ $json.week_start }} to {{ $json.week_end }}", "message": "=WEEKLY BRAND MENTION INTELLIGENCE REPORT\n================================================\nReport Period: {{ $json.week_start }} to {{ $json.week_end }}\n\nOVERVIEW:\nTotal Brand Mentions: {{ $json.total_mentions }}\nRequire Response: {{ $json.response_needed_count }}\nJournalist Mentions: {{ $json.journalist_mentions_count }}\nHigh Reach Mentions: {{ $json.high_reach_count }}\nNegative/Mixed Sentiment: {{ $json.negative_mentions_count }}\n\nMENTION TYPE BREAKDOWN:\n{{ $json.mention_type_breakdown.map(([type, count]) => type + ': ' + count).join('\\n') }}\n\nSENTIMENT ANALYSIS:\n{{ $json.tone_breakdown.map(([tone, count]) => tone + ': ' + count).join('\\n') }}\n\nOPPORTUNITIES IDENTIFIED:\n{{ $json.opportunity_breakdown.length > 0 ? $json.opportunity_breakdown.map(([opp, count]) => opp + ': ' + count).join('\\n') : 'No opportunities identified' }}\n\nACTION ITEMS:\n- {{ $json.response_needed_count }} mentions require response\n- {{ $json.journalist_mentions_count }} journalist mentions to review\n- {{ $json.negative_mentions_count }} negative mentions to address\n\nFull mention details in Google Sheets.\n\nGenerated: {{ new Date().toLocaleDateString() }}", "options": {} }, "type": "n8n-nodes-base.gmail", "typeVersion": 2.1, "position": [ 1920, -224 ], "id": "37bacdf7-e332-43ce-b5a7-071f83a58b1c", "name": "Send Weekly Summary Email", "webhookId": "0a249d50-9bb6-4273-872f-0c6f7465a148", "credentials": { "gmailOAuth2": { "id": "cyqCGWcggZNMcSOv", "name": "Gmail account" } } } ], "pinData": {}, "connections": { "Weekly Schedule - Monday 9 AM": { "main": [ [ { "node": "Scrape LinkedIn Brand Mentions", "type": "main", "index": 0 } ] ] }, "Scrape LinkedIn Brand Mentions": { "main": [ [ { "node": "Get Dataset Items", "type": "main", "index": 0 } ] ] }, "Get Dataset Items": { "main": [ [ { "node": "AI Validation Filter", "type": "main", "index": 0 } ] ] }, "AI Validation Filter": { "main": [ [ { "node": "Parse AI Validation", "type": "main", "index": 0 } ] ] }, "Parse AI Validation": { "main": [ [ { "node": "Edit Fields - Validation", "type": "main", "index": 0 } ] ] }, "Edit Fields - Validation": { "main": [ [ { "node": "Filter Only Brand Mentions", "type": "main", "index": 0 } ] ] }, "Filter Only Brand Mentions": { "main": [ [ { "node": "AI Extract Brand Intelligence", "type": "main", "index": 0 } ] ] }, "AI Extract Brand Intelligence": { "main": [ [ { "node": "Parse AI Response", "type": "main", "index": 0 } ] ] }, "Parse AI Response": { "main": [ [ { "node": "Edit Fields", "type": "main", "index": 0 } ] ] }, "Edit Fields": { "main": [ [ { "node": "Log to Google Sheet", "type": "main", "index": 0 } ] ] }, "Log to Google Sheet": { "main": [ [ { "node": "Aggregate Weekly Summary", "type": "main", "index": 0 } ] ] }, "Aggregate Weekly Summary": { "main": [ [ { "node": "Send Weekly Summary Email", "type": "main", "index": 0 } ] ] } }, "active": false, "settings": { "executionOrder": "v1" }, "versionId": "c5f2d9f6-d5e4-4707-9a82-61164e9d3d82", "meta": { "instanceId": "3a43da28588548e21903e71cf1dc3ddd65c24bf0c62e7e4b77542ffe87ad79c6" }, "id": "9sz12THzroO8a1cS", "tags": [] }