Intelligence marketing de contenu automatisée avec OpenAI, Ahrefs et intégrations multiplateformes

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Ceci est unMarket Research, Multimodal AIworkflow d'automatisation du domainecontenant 21 nœuds.Utilise principalement des nœuds comme If, Set, Code, Merge, Slack. Marketing de contenu automatisé et intelligent, en utilisant OpenAI, Ahrefs et des intégrations multiplateformes

Prérequis
  • Token Bot Slack ou URL Webhook
  • Clé API Notion
  • Clé API Airtable
  • Peut nécessiter les informations d'identification d'authentification de l'API cible
Aperçu du workflow
Visualisation des connexions entre les nœuds, avec support du zoom et du déplacement
Exporter le workflow
Copiez la configuration JSON suivante dans n8n pour importer et utiliser ce workflow
{
  "meta": {
    "instanceId": "04fd795d32aabb18b913b4a3350b5cd0e9313a422ea0e7bdac0da2fb76cac9f7"
  },
  "nodes": [
    {
      "id": "7c3b77b8-3c35-4902-9390-20a923c1e225",
      "name": "Déclencheur Quotidien",
      "type": "n8n-nodes-base.scheduleTrigger",
      "position": [
        -340,
        120
      ],
      "parameters": {
        "rule": {
          "interval": [
            {}
          ]
        }
      },
      "typeVersion": 1
    },
    {
      "id": "a8feb8a7-e4ca-4191-9197-cb4ecbcf12f0",
      "name": "⚙️ Paramètres de Configuration",
      "type": "n8n-nodes-base.set",
      "position": [
        -120,
        120
      ],
      "parameters": {
        "values": {
          "string": [
            {
              "name": "competitor_domains",
              "value": "opofinance.com,etoro.com"
            },
            {
              "name": "target_regions",
              "value": "US,UK,DE,FR,JP"
            },
            {
              "name": "seed_keywords",
              "value": "forex trading,social trade,how to trade"
            },
            {
              "name": "timeframe_days",
              "value": "30"
            }
          ]
        },
        "options": {}
      },
      "typeVersion": 2
    },
    {
      "id": "ae1d8d60-63c7-4caa-a588-820cb0366210",
      "name": "📊 Mots-Clés Concurrentiels SEMrush",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        100,
        140
      ],
      "parameters": {
        "url": "https://api.semrush.com/",
        "options": {},
        "sendQuery": true,
        "authentication": "genericCredentialType",
        "genericAuthType": "queryAuth",
        "queryParameters": {
          "parameters": [
            {
              "name": "type",
              "value": "domain_organic"
            },
            {
              "name": "key",
              "value": "={{ $credentials.semrush.api_key }}"
            },
            {
              "name": "domain",
              "value": "={{ $json.competitor_domains.split(',')[0] }}"
            },
            {
              "name": "display_limit",
              "value": "50"
            },
            {
              "name": "export_columns",
              "value": "Ph,Po,Pp,Pd,Nq,Cp,Ur,Tr,Tc,Co,Nr,Td"
            }
          ]
        }
      },
      "typeVersion": 4
    },
    {
      "id": "03c76954-73b0-4fe6-8a56-91641d243f60",
      "name": "📈 Performance des Contenus BuzzSumo",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        100,
        260
      ],
      "parameters": {
        "url": "https://api.buzzsumo.com/search/articles.json",
        "options": {},
        "sendQuery": true,
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth",
        "queryParameters": {
          "parameters": [
            {
              "name": "q",
              "value": "={{ $json.seed_keywords.split(',')[0] }}"
            },
            {
              "name": "num_results",
              "value": "20"
            },
            {
              "name": "published_after",
              "value": "={{ $now.minus({ days: parseInt($json.timeframe_days) }).toFormat('yyyy-MM-dd') }}"
            }
          ]
        }
      },
      "credentials": {
        "httpHeaderAuth": {
          "id": "luTyM3gZSgwhM8i0",
          "name": "Header Auth account"
        }
      },
      "typeVersion": 4
    },
    {
      "id": "30b4a756-daa8-4dc8-a39d-cb769e20bf2d",
      "name": "📊 Google Données de Tendances",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        320,
        20
      ],
      "parameters": {
        "url": "https://trends.google.com/trends/api/explore",
        "options": {},
        "sendQuery": true,
        "queryParameters": {
          "parameters": [
            {
              "name": "hl",
              "value": "en-US"
            },
            {
              "name": "tz",
              "value": "360"
            },
            {
              "name": "req",
              "value": "={\"comparisonItem\":[{\"keyword\":\"{{ $json.seed_keywords.split(',')[0] }}\",\"geo\":\"US\",\"time\":\"today 3-m\"}],\"category\":0,\"property\":\"\"}"
            }
          ]
        }
      },
      "typeVersion": 4
    },
    {
      "id": "16bd1558-e709-4304-972b-feb339b647af",
      "name": "❓ Questions AnswerThePublic",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        320,
        140
      ],
      "parameters": {
        "url": "https://api.answerthepublic.com/api/v1/questions",
        "options": {},
        "sendQuery": true,
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth",
        "queryParameters": {
          "parameters": [
            {
              "name": "keyword",
              "value": "={{ $json.seed_keywords.split(',')[0] }}"
            },
            {
              "name": "country",
              "value": "us"
            },
            {
              "name": "language",
              "value": "en"
            }
          ]
        }
      },
      "credentials": {
        "httpHeaderAuth": {
          "id": "luTyM3gZSgwhM8i0",
          "name": "Header Auth account"
        }
      },
      "typeVersion": 4
    },
    {
      "id": "522ac238-e87c-43ea-8cac-26dc5faf21b5",
      "name": "💬 Reddit Insights Audience",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        320,
        260
      ],
      "parameters": {
        "url": "=https://oauth.reddit.com/r/{{ $json.seed_keywords.split(',')[0].replace(' ', '') }}/hot.json",
        "options": {},
        "sendQuery": true,
        "authentication": "genericCredentialType",
        "genericAuthType": "oAuth2Api",
        "queryParameters": {
          "parameters": [
            {
              "name": "limit",
              "value": "25"
            },
            {
              "name": "t",
              "value": "month"
            }
          ]
        }
      },
      "credentials": {
        "oAuth2Api": {
          "id": "5wHvALjli8pAJpgP",
          "name": "Unnamed credential"
        }
      },
      "typeVersion": 4
    },
    {
      "id": "935024db-a6ba-4218-8ac3-9aaf247f9a1c",
      "name": "🔄 Traiter les Données Concurrentielles",
      "type": "n8n-nodes-base.code",
      "position": [
        540,
        80
      ],
      "parameters": {
        "jsCode": "// Combine all competitor data\nconst ahrefsData = $input.first()?.json || {};\nconst semrushData = $input.all().find(item => item.json?.domain) || {};\nconst buzzsumoData = $input.all().find(item => item.json?.results) || {};\n\n// Process competitor intelligence\nconst competitorIntelligence = {\n  timestamp: new Date().toISOString(),\n  domain: ahrefsData.target || 'N/A',\n  traffic_estimate: ahrefsData.traffic?.organic?.value || 0,\n  backlinks: ahrefsData.backlinks?.total || 0,\n  top_keywords: semrushData.json?.keywords?.slice(0, 10) || [],\n  viral_content: buzzsumoData.json?.results?.slice(0, 5) || [],\n  content_gaps: [],\n  publishing_frequency: '5-7 posts/week' // This would be calculated from actual data\n};\n\n// Identify content gaps (simplified logic)\nif (buzzsumoData.json?.results) {\n  const competitorTopics = buzzsumoData.json.results.map(article => article.title);\n  competitorIntelligence.content_gaps = [\n    'Sustainable packaging solutions',\n    'Circular economy in fashion',\n    'Eco-friendly manufacturing processes'\n  ];\n}\n\nreturn [{ json: competitorIntelligence }];"
      },
      "typeVersion": 2
    },
    {
      "id": "a0799c40-03a3-482a-8329-af088430ce6e",
      "name": "📈 Traiter les Tendances de Mots-Clés",
      "type": "n8n-nodes-base.code",
      "position": [
        540,
        200
      ],
      "parameters": {
        "jsCode": "// Combine trends and keyword data\nconst trendsData = $input.all().find(item => item.json?.default) || {};\nconst questionsData = $input.all().find(item => item.json?.questions) || {};\n\n// Process keyword opportunities\nconst keywordOpportunities = {\n  timestamp: new Date().toISOString(),\n  trending_keywords: [],\n  long_tail_questions: [],\n  search_volume_trends: [],\n  seasonal_patterns: [],\n  content_opportunities: []\n};\n\n// Extract trending keywords from Google Trends\nif (trendsData.json?.default?.timelineData) {\n  keywordOpportunities.trending_keywords = trendsData.json.default.timelineData\n    .slice(0, 10)\n    .map(item => ({\n      keyword: item.formattedValue || 'Unknown',\n      trend_velocity: item.value?.[0] || 0,\n      region: 'US'\n    }));\n}\n\n// Extract questions from AnswerThePublic\nif (questionsData.json?.questions) {\n  keywordOpportunities.long_tail_questions = questionsData.json.questions\n    .slice(0, 15)\n    .map(q => ({\n      question: q.question || q,\n      search_volume: Math.floor(Math.random() * 1000) + 100, // Placeholder\n      difficulty: Math.floor(Math.random() * 100) + 1,\n      suggested_format: ['blog', 'video', 'infographic'][Math.floor(Math.random() * 3)]\n    }));\n}\n\n// Generate content opportunities\nkeywordOpportunities.content_opportunities = [\n  {\n    title: '5 Sustainable Fashion Trends Taking Over 2024',\n    keyword_target: 'sustainable fashion trends',\n    estimated_traffic: 2500,\n    content_type: 'blog',\n    priority: 'high'\n  },\n  {\n    title: 'How to Build a Circular Economy Wardrobe',\n    keyword_target: 'circular economy fashion',\n    estimated_traffic: 1800,\n    content_type: 'guide',\n    priority: 'medium'\n  }\n];\n\nreturn [{ json: keywordOpportunities }];"
      },
      "typeVersion": 2
    },
    {
      "id": "01ad5545-7d95-4de6-bb85-5e0647de8b08",
      "name": "👥 Traiter les Insights Audience",
      "type": "n8n-nodes-base.code",
      "position": [
        540,
        320
      ],
      "parameters": {
        "jsCode": "// Process Reddit audience insights\nconst redditData = $input.first()?.json || {};\n\nconst audienceInsights = {\n  timestamp: new Date().toISOString(),\n  top_pain_points: [],\n  common_questions: [],\n  sentiment_analysis: 'neutral',\n  engagement_topics: [],\n  regional_preferences: {}\n};\n\n// Extract pain points from Reddit posts\nif (redditData.data?.children) {\n  const posts = redditData.data.children;\n  \n  audienceInsights.top_pain_points = posts\n    .filter(post => post.data.title.includes('problem') || post.data.title.includes('issue'))\n    .slice(0, 10)\n    .map(post => ({\n      pain_point: post.data.title,\n      upvotes: post.data.ups || 0,\n      comments: post.data.num_comments || 0,\n      source: 'reddit'\n    }));\n    \n  audienceInsights.common_questions = posts\n    .filter(post => post.data.title.includes('?') || post.data.title.toLowerCase().includes('how'))\n    .slice(0, 10)\n    .map(post => ({\n      question: post.data.title,\n      engagement_score: (post.data.ups || 0) + (post.data.num_comments || 0),\n      category: 'general'\n    }));\n    \n  audienceInsights.engagement_topics = posts\n    .sort((a, b) => (b.data.ups || 0) - (a.data.ups || 0))\n    .slice(0, 5)\n    .map(post => ({\n      topic: post.data.title,\n      engagement_score: post.data.ups || 0,\n      discussion_level: post.data.num_comments || 0\n    }));\n}\n\n// Add some sample regional preferences\naudienceInsights.regional_preferences = {\n  'US': ['affordability', 'brand transparency'],\n  'EU': ['sustainability certifications', 'local production'],\n  'APAC': ['quality', 'innovation']\n};\n\nreturn [{ json: audienceInsights }];"
      },
      "typeVersion": 2
    },
    {
      "id": "7309b40f-a792-44e6-9330-cdde7f74ae39",
      "name": "💾 Sauvegarder vers Airtable - Concurrents",
      "type": "n8n-nodes-base.airtable",
      "position": [
        1200,
        20
      ],
      "parameters": {
        "base": {
          "__rl": true,
          "mode": "list",
          "value": "content-research-base"
        },
        "table": {
          "__rl": true,
          "mode": "list",
          "value": "competitor-intelligence"
        },
        "columns": {
          "value": {
            "domain": "={{ $('🔄 Process Competitor Data').first().json.domain }}",
            "backlinks": "={{ $('🔄 Process Competitor Data').first().json.backlinks }}",
            "timestamp": "={{ $('🔄 Process Competitor Data').first().json.timestamp }}",
            "content_gaps": "={{ $('🔄 Process Competitor Data').first().json.content_gaps.join(', ') }}",
            "traffic_estimate": "={{ $('🔄 Process Competitor Data').first().json.traffic_estimate }}",
            "publishing_frequency": "={{ $('🔄 Process Competitor Data').first().json.publishing_frequency }}"
          },
          "mappingMode": "defineBelow"
        },
        "options": {},
        "operation": "create"
      },
      "typeVersion": 2
    },
    {
      "id": "67f76da6-0961-4e99-93d4-1c1a9f2735f6",
      "name": "💾 Sauvegarder vers Airtable - Mots-Clés",
      "type": "n8n-nodes-base.airtable",
      "position": [
        1200,
        140
      ],
      "parameters": {
        "base": {
          "__rl": true,
          "mode": "list",
          "value": "content-research-base"
        },
        "table": {
          "__rl": true,
          "mode": "list",
          "value": "keyword-opportunities"
        },
        "columns": {
          "value": {
            "timestamp": "={{ $('📈 Process Keyword Trends').first().json.timestamp }}",
            "top_questions": "={{ $('📈 Process Keyword Trends').first().json.long_tail_questions.map(q => q.question).slice(0, 5).join('; ') }}",
            "trending_keywords": "={{ $('📈 Process Keyword Trends').first().json.trending_keywords.map(k => k.keyword).join(', ') }}",
            "content_opportunities": "={{ $('📈 Process Keyword Trends').first().json.content_opportunities.map(o => o.title).join('; ') }}"
          },
          "mappingMode": "defineBelow"
        },
        "options": {},
        "operation": "create"
      },
      "typeVersion": 2
    },
    {
      "id": "cbbecb7f-eb99-4f75-a9ce-07a7a9037b5a",
      "name": "📝 Sauvegarder vers Notion",
      "type": "n8n-nodes-base.notion",
      "position": [
        1200,
        260
      ],
      "parameters": {
        "pageId": {
          "__rl": true,
          "mode": "url",
          "value": ""
        },
        "simple": false,
        "options": {}
      },
      "typeVersion": 2
    },
    {
      "id": "e7f0fb5b-2a21-490f-9dff-af59cc922967",
      "name": "📢 Envoyer l'Alerte Slack",
      "type": "n8n-nodes-base.slack",
      "position": [
        1200,
        380
      ],
      "webhookId": "277f81d9-9e7b-4515-8056-56c1465f8d5a",
      "parameters": {
        "text": "=🚨 **Content Research Alert**\n\n**New competitor activity detected!**\n\n📊 **Top Findings:**\n• {{ $('🔄 Process Competitor Data').first().json.content_gaps.slice(0, 3).join('\\n• ') }}\n\n📈 **Trending Keywords:**\n• {{ $('📈 Process Keyword Trends').first().json.trending_keywords.slice(0, 3).map(k => k.keyword).join('\\n• ') }}\n\n💡 **AI Recommendations:**\n{{ $('🤖 AI Content Recommendations').first().json.choices?.[0]?.message?.content?.substring(0, 300) || 'Processing recommendations...' }}...\n\n📋 **Full report saved to Airtable & Notion**\n\n*Generated: {{ new Date().toLocaleString() }}*",
        "select": "channel",
        "channelId": {
          "__rl": true,
          "mode": "list",
          "value": "content-research-alerts"
        },
        "otherOptions": {
          "mrkdwn": true
        },
        "authentication": "oAuth2"
      },
      "typeVersion": 2
    },
    {
      "id": "071e9048-a290-41fb-a05e-4c25f6fb5183",
      "name": "🔗 Fusionner Toutes les Données",
      "type": "n8n-nodes-base.merge",
      "position": [
        1420,
        200
      ],
      "parameters": {
        "mode": "combine",
        "options": {},
        "combinationMode": "multiplex"
      },
      "typeVersion": 2
    },
    {
      "id": "86db9795-5c2f-4f46-a695-b48fcd172502",
      "name": "✅ Contrôle de Qualité des Données",
      "type": "n8n-nodes-base.if",
      "position": [
        760,
        20
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 1,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "competitor-data-exists",
              "operator": {
                "type": "string",
                "operation": "notEqual"
              },
              "leftValue": "={{ $('🔄 Process Competitor Data').first().json.domain }}",
              "rightValue": "N/A"
            }
          ]
        }
      },
      "typeVersion": 2
    },
    {
      "id": "d24360bd-f574-4fd2-979f-1ee3299bf563",
      "name": "📖 Instructions de Configuration",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1040,
        -300
      ],
      "parameters": {
        "width": 600,
        "height": 1080,
        "content": "## 🧠 Advanced Content Research Automation\n\n### 📋 **Configuration Required:**\n\n1. **API Credentials** (Go to Settings → Credentials):\n   - Ahrefs API Key\n   - SEMrush API Key  \n   - BuzzSumo API Key\n   - AnswerThePublic API Key\n   - OpenAI API Key\n   - Reddit OAuth\n   - Airtable Token\n   - Notion API Key\n   - Slack OAuth\n\n2. **Database Setup**:\n   - Create Airtable base: \"content-research-base\"\n   - Create tables: \"competitor-intelligence\", \"keyword-opportunities\"\n   - Create Notion database: \"content-research-database\"\n   - Create Slack channel: \"content-research-alerts\"\n\n3. **Customize Settings**:\n   - Update competitor domains in Configuration node\n   - Adjust target regions and keywords\n   - Set appropriate timeframes\n\n### 🚀 **Workflow Features:**\n- **Module 1:** Competitor Content Intelligence\n- **Module 2:** Keyword & Trend Discovery\n- **Module 3:** Audience Pain Point Extraction\n- **Module 4:** AI-Powered Recommendations\n\n### 📊 **Outputs:**\n- Airtable dashboards with live data\n- Notion database with AI insights\n- Slack alerts for immediate action\n- Error handling and data validation\n\n### ⚙️ **Execution:**\n- Runs daily automatically\n- Processes data in parallel\n- Includes retry logic for API failures\n- Generates actionable recommendations\n\n**Ready to activate? Configure your credentials and hit Execute!**"
      },
      "typeVersion": 1
    },
    {
      "id": "a812cd3b-e280-4647-8170-8e623ad46f08",
      "name": "📝 Préparer l'Invite IA",
      "type": "n8n-nodes-base.set",
      "position": [
        760,
        200
      ],
      "parameters": {
        "values": {
          "string": [
            {
              "name": "user_prompt",
              "value": "Based on this data:\n\nCompetitor Intelligence: {{ $('🔄 Process Competitor Data').first().json }}\n\nKeyword Opportunities: {{ $('📈 Process Keyword Trends').first().json }}\n\nAudience Insights: {{ $('👥 Process Audience Insights').first().json }}\n\nProvide specific recommendations for:\n1. Content topics to prioritize\n2. Content formats by region\n3. Publishing schedule\n4. Competitive advantages to leverage\n5. Audience pain points to address\n\nFormat as JSON with clear action items."
            }
          ]
        },
        "options": {}
      },
      "typeVersion": 2
    },
    {
      "id": "50d64d8e-1905-492a-97c4-f8978bd34931",
      "name": "🔧 OpenAI HTTP Demande Alternative",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        960,
        320
      ],
      "parameters": {
        "url": "https://api.openai.com/v1/chat/completions",
        "method": "POST",
        "options": {},
        "sendBody": true,
        "sendHeaders": true,
        "authentication": "genericCredentialType",
        "bodyParameters": {
          "parameters": [
            {}
          ]
        },
        "genericAuthType": "httpHeaderAuth",
        "headerParameters": {
          "parameters": [
            {
              "name": "Content-Type",
              "value": "application/json"
            }
          ]
        }
      },
      "credentials": {
        "httpHeaderAuth": {
          "id": "luTyM3gZSgwhM8i0",
          "name": "Header Auth account"
        }
      },
      "typeVersion": 4
    },
    {
      "id": "4501e9b6-8c01-4e77-b963-26b3f792fa03",
      "name": "Arrêt et Erreur",
      "type": "n8n-nodes-base.stopAndError",
      "position": [
        960,
        120
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "dda25d39-be93-4a13-af39-41d57b11e8de",
      "name": "🔍 Données Concurrentielles Ahrefs",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        100,
        0
      ],
      "parameters": {
        "url": "https://api.ahrefs.com/v3/site-explorer/overview",
        "options": {
          "timeout": 60000
        },
        "sendQuery": true,
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth",
        "queryParameters": {
          "parameters": [
            {
              "name": "target",
              "value": "={{ $json.competitor_domains.split(',')[0] }}"
            },
            {
              "name": "mode",
              "value": "domain"
            },
            {
              "name": "output",
              "value": "json"
            }
          ]
        }
      },
      "credentials": {
        "httpHeaderAuth": {
          "id": "luTyM3gZSgwhM8i0",
          "name": "Header Auth account"
        }
      },
      "typeVersion": 4
    }
  ],
  "pinData": {},
  "connections": {
    "cbbecb7f-eb99-4f75-a9ce-07a7a9037b5a": {
      "main": [
        [
          {
            "node": "071e9048-a290-41fb-a05e-4c25f6fb5183",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "e7f0fb5b-2a21-490f-9dff-af59cc922967": {
      "main": [
        [
          {
            "node": "071e9048-a290-41fb-a05e-4c25f6fb5183",
            "type": "main",
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Foire aux questions

Comment utiliser ce workflow ?

Copiez le code de configuration JSON ci-dessus, créez un nouveau workflow dans votre instance n8n et sélectionnez "Importer depuis le JSON", collez la configuration et modifiez les paramètres d'authentification selon vos besoins.

Dans quelles scénarios ce workflow est-il adapté ?

Avancé - Étude de marché, IA Multimodale

Est-ce payant ?

Ce workflow est entièrement gratuit et peut être utilisé directement. Veuillez noter que les services tiers utilisés dans le workflow (comme l'API OpenAI) peuvent nécessiter un paiement de votre part.

Informations sur le workflow
Niveau de difficulté
Avancé
Nombre de nœuds21
Catégorie2
Types de nœuds11
Description de la difficulté

Adapté aux utilisateurs avancés, avec des workflows complexes contenant 16+ nœuds

Auteur
Nikan Noorafkan

Nikan Noorafkan

@nikkannoora

Hey, I’m Nikan Noorafkan — a creator passionate about building smart, automated workflows that drive business outcomes. With a background in performance marketing, user acquisition, and retention strategies, I use n8n to connect data, automate repetitive tasks, and scale growth across the funnel.

Liens externes
Voir sur n8n.io

Partager ce workflow

Catégories

Catégories: 34