Ce workflow IA planifie automatiquement les réunions en tenant compte des disponibilités, envoie les invitations, archive les comptes rendus et génère des rappels pour chaque participant. Idéal pour optimiser l’organisation et renforcer la productivité d’équipe.
{
"id": "nGpVbW7RTylKujyT",
"meta": {
"instanceId": "dcb7e9805ce8fe33e4ef843b02947aacc9de2ca8e3594435f3a36d9f33df54fc",
"templateCredsSetupCompleted": true
},
"name": "AI powered SEO Keyword Research Automation - The vibe Marketer",
"tags": [
{
"id": "SRzFKUr6fVtmWq2d",
"name": "works",
"createdAt": "2025-04-14T11:05:17.062Z",
"updatedAt": "2025-04-14T11:05:17.062Z"
}
],
"nodes": [
{
"id": "65aacfa5-4891-49f9-a614-2866c96142ee",
"name": "OpenAI Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
88,
455
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "o1",
"cachedResultName": "o1"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "AZynAxNG099jyj7B",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "5a0445ad-20c9-4e62-8e04-62451d3e8f7e",
"name": "Structured Output Parser",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
208,
455
],
"parameters": {
"jsonSchemaExample": "{n "primary_keywords": ["string"],n "long_tail_keywords": [n {n "keyword": "string",n "intent": "string"n }n ],n "question_based_keywords": ["string"],n "related_topics": ["string"]n}n"
},
"typeVersion": 1.2
},
{
"id": "38cd2c66-d4b7-47a9-a3eb-f58eb32f55ab",
"name": "Topic Expansion",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
60,
235
],
"parameters": {
"text": "=I need to create comprehensive SEO keyword research for content about: n{{ $json.primary_topic }}nnMy target audience is: {{ $json.target_audience }}nThis will be used for a: {{ $json.content_type }}nLocation: {{ $json.location }}nLanguage: {{ $json.language }}nnPlease generate:n1. A list of 20 primary keywords directly related to {{ $json.primary_topic }}n2. 30 long-tail keyword variations with search intent (informational, commercial, transactional)n3. 15 question-based keywords people might ask about this topicn4. 10 related topics that could be used for supporting contentnnFormat the output as a structured JSON with these categories. ",
"options": {},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 1.8
},
{
"id": "14811f51-5992-4e35-af8d-f05f5b488bc1",
"name": "Competitor Analysis",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
1100,
660
],
"parameters": {
"text": "=Analyze the following competitor content for the Primary Topic "{{ $('Format Json and add Competitor URLs').item.json.primary_topic }}":nnCompetitor: {{ $('Split the Competitor URLs').item.json.competitorUrls }}nDATA: ```n{{ $json.tasks[0].result.toJsonString() }}n```nnPlease identify:n1. Primary keywords they appear to be targetingn2. Content gaps or missing topics they aren't coveringn3. Unique angles or approaches they're takingn4. Questions they're answering (or not answering)nnFormat the output as a structured analysis. ",
"options": {},
"promptType": "define"
},
"typeVersion": 1.8
},
{
"id": "564866ac-c287-48a3-816c-78207dfce133",
"name": "Keyword Difficulty",
"type": "n8n-nodes-dataforseo.dataForSeo",
"position": [
656,
260
],
"parameters": {
"keywords": {
"values": [
{
"value": "={{ $json['output.primary_keywords'] }}"
}
]
},
"resource": "labs",
"operation": "get-keyword-difficulty",
"language_name_required": "={{ $('Set relevant fields').item.json.language }}",
"location_name_required": "={{ $('Set relevant fields').item.json.location }}"
},
"credentials": {
"dataForSeoApi": {
"id": "owHrK02rkWLlYrl3",
"name": "DataForSEO account"
}
},
"typeVersion": 1
},
{
"id": "d39e392c-c547-4edd-8fe9-014c26152915",
"name": "Search Volume & CPC",
"type": "n8n-nodes-dataforseo.dataForSeo",
"position": [
656,
60
],
"parameters": {
"date_to": {},
"keywords": {
"values": [
{
"value": "={{ $json['output.primary_keywords'] }}"
}
]
},
"resource": "keywords_data",
"date_from": {},
"language_name": "={{ $('Set relevant fields').item.json.language }}",
"location_name": "={{ $('Set relevant fields').item.json.location }}"
},
"credentials": {
"dataForSeoApi": {
"id": "owHrK02rkWLlYrl3",
"name": "DataForSEO account"
}
},
"typeVersion": 1
},
{
"id": "2985d85c-4373-4f18-9c27-188f19c920a6",
"name": "split primary keywords",
"type": "n8n-nodes-base.splitOut",
"position": [
440,
160
],
"parameters": {
"options": {},
"fieldToSplitOut": "output.primary_keywords"
},
"typeVersion": 1
},
{
"id": "49819332-744d-45a5-b0ed-b74a1a57aad8",
"name": "OpenAI Chat Model2",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
1920,
640
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "o1",
"cachedResultName": "o1"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "AZynAxNG099jyj7B",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "07576442-14b1-402a-a084-50fd775d6523",
"name": "Keyword Ranking per URL",
"type": "n8n-nodes-dataforseo.dataForSeo",
"position": [
880,
660
],
"parameters": {
"limit": 10,
"target": "={{ $json.competitorUrls }}",
"resource": "labs",
"operation": "get-ranked-keywords",
"language_name_required": "={{ $('Format Json and add Competitor URLs').item.json.language }}",
"location_name_required": "={{ $('Format Json and add Competitor URLs').item.json.location }}"
},
"credentials": {
"dataForSeoApi": {
"id": "owHrK02rkWLlYrl3",
"name": "DataForSEO account"
}
},
"typeVersion": 1
},
{
"id": "1e1f4a81-31b9-450d-85ba-65dbe2b6e8c2",
"name": "Final Keyword Strategy",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
1940,
440
],
"parameters": {
"text": "=# Role: Act as an expert SEO Strategist and Content Planner.nn# Context:n# You are creating an actionable SEO Keyword Strategy & Content Brief based on prior AI-driven keyword generation and competitor analysis.n# The goal is content creation for the 'Primary Topic', targeting the specified 'Target Audience' and 'Content Type' in the given 'Location' and 'Language'.n# Data provided includes initial keyword ideas (primary, long-tail, questions), keyword metrics (volume, difficulty), related topics, and competitor analysis insights (their likely keywords, content gaps, unique angles).nn# Input Parameters for this Task:nPrimary Topic: {{ $json.primary_topic }}nTarget Audience: {{ $json.target_audience }}nContent Type: {{ $json.content_type }}nLocation: {{ $json.location }}nLanguage: {{ $json.language }}nAnalyzed Compeitors: {{ $json.competitor_urls }}nn# Your Task:n# Analyze the provided input parameters and the detailed 'DATA' section below.n# Synthesize this information into a clear, concise, and actionable SEO Keyword Strategy & Content Brief.n# Structure the output logically using Markdown. Focus on providing insights and actionable recommendations, not just listing data. Explain the 'why' behind key recommendations. Keep the language easy to understand, assuming the reader (e.g., a content writer or marketing manager) understands basic SEO concepts but isn't necessarily a deep expert.nn# Required Output Sections (Use Markdown Headers):nn## 1. Executive Summaryn - **Objective:** Briefly state the primary goal of creating content on this topic for this audience (e.g., "Attract [Target Audience] seeking information on [Primary Topic]..." or "Position our brand as a thought leader for [Target Audience] regarding [Primary Topic]").n - **Key Opportunity:** Summarize the most significant keyword opportunity identified (e.g., "Target the high-volume term '[Example Keyword]' while capturing related informational queries via long-tail variations.")n - **Competitor Angle:** Briefly mention the main strategic takeaway from the competitor analysis (e.g., "Competitors focus heavily on [X], leaving an opportunity to address [Y] or provide a unique angle on [Z].")nn## 2. Target Keyword Strategy & Rationalen - **Primary Target Keywords:**n - List the top 5-10 recommended primary keywords.n - For each, include Search Volume (SV) and Keyword Difficulty (KD).n - **Add brief commentary/rationale for each group or key term:** Why were these chosen? (e.g., "High relevance and strong search volume despite moderate difficulty," or "Balances primary topic focus with user search behavior.")n - **Secondary & Long-Tail Opportunities:**n - List the top 10-15 recommended long-tail and secondary keywords.n - Group them by likely Search Intent (e.g., Informational, Commercial, Transactional) if discernible from the input data.n - **Add brief commentary on the overall opportunity:** What specific user needs or funnel stages do these address? Note any clusters with particularly low competition.n - **Key Question Keywords:**n - List the top 5 question-based keywords the content *must* answer.n - **Add brief commentary:** Why are these questions crucial for the target audience or content goals?nn## 3. Competitive Landscape & Content Gapsn - **Competitor Focus:** Briefly summarize the main keyword themes or angles competitors seem to be targeting, based on the provided analysis.n - **Identified Gaps/Opportunities:** Highlight 1-3 specific content gaps, under-served intents, or unique angles identified from the competitor analysis that this content piece should leverage. Be specific (e.g., "Competitors explain 'what', but not 'how to implement'," or "Lack of practical examples for [Target Audience]").nn## 4. Content Outline & Actionable Recommendationsn - **Recommended Structure:** Propose a logical H2/H3 structure or outline for the content piece, designed to cover the target keywords and address user intent effectively.n - **Keyword Integration:** Briefly suggest how to naturally incorporate the different keyword types (primary, long-tail, questions) within the proposed structure.n - **Content Enhancement:** Provide 2-3 specific, actionable recommendations to make the content stand out for the target audience and potentially outperform competitors (e.g., "Include step-by-step instructions," "Add original data/charts," "Feature quotes from [Target Audience Role]," "Create a downloadable checklist").nn## 5. Proposed SEO Titlesn - List 3-5 compelling, SEO-optimized title options for the content piece. Ensure they are relevant, incorporate keywords naturally, and entice clicks.nn# DATA for Analysis:n# (Analyze the following JSON data containing keyword suggestions, metrics, and competitor analysis results)n```jsonn{{ $json.data.toJsonString() }}nn{{ $json.output.toJsonString() }}n```nnFinal Output Format: Ensure the entire response is well-structured, clean Markdown, ready to be used as a content brief.",
"options": {},
"promptType": "define"
},
"typeVersion": 1.8
},
{
"id": "613e1d25-3e9d-4a7f-8657-392854eb00de",
"name": "Get Input from NocoDB",
"type": "n8n-nodes-base.webhook",
"position": [
-680,
340
],
"webhookId": "ac7e989d-6e32-4850-83c4-f10421467fb8",
"parameters": {
"path": "ac7e989d-6e32-4850-83c4-f10421467fb8",
"options": {},
"httpMethod": "POST"
},
"typeVersion": 2
},
{
"id": "88076d36-fe04-4a7a-a176-9ba93388b089",
"name": "Split the Competitor URLs",
"type": "n8n-nodes-base.splitOut",
"position": [
580,
660
],
"parameters": {
"options": {},
"fieldToSplitOut": "competitorUrls"
},
"typeVersion": 1
},
{
"id": "88d8ad2f-4b66-48e3-aaf7-d6f8210f264b",
"name": "Set relevant fields",
"type": "n8n-nodes-base.set",
"position": [
-500,
340
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "e729ab88-95f8-44c0-948c-d2476262fd17",
"name": "primary_topic",
"type": "string",
"value": "={{ $json.body.data.rows[0]['Primary Topic'] }}"
},
{
"id": "1c6fbf22-fb3f-4577-b6cc-4d0672ff2046",
"name": "competitor_urls",
"type": "string",
"value": "={{ $json.body.data.rows[0]['Competitor URLs'] }}"
},
{
"id": "ea8518c8-8f89-4aa5-9546-44be77deeebb",
"name": "target_audience",
"type": "string",
"value": "={{ $json.body.data.rows[0]['Target Audience'] }}"
},
{
"id": "4b27d628-6cc1-4161-bb49-d39a4b1d320e",
"name": "content_type",
"type": "string",
"value": "={{ $json.body.data.rows[0]['Content Type'] }}"
},
{
"id": "bb3fefe7-7eea-4a6d-b2de-307b791ff1b6",
"name": "id",
"type": "string",
"value": "={{ $json.body.data.rows[0].Id }}"
},
{
"id": "09e64ce6-39de-4550-9078-fe4f233edd9a",
"name": "status",
"type": "string",
"value": "={{ $json.body.data.rows[0].Status }}"
},
{
"id": "c10736b0-dece-40a7-9fb0-86b23b44e517",
"name": "location",
"type": "string",
"value": "={{ $json.body.data.rows[0].Location }}"
},
{
"id": "6508a1e9-963d-4a79-bd35-f537c892e8d4",
"name": "language",
"type": "string",
"value": "={{ $json.body.data.rows[0].Language }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "1f083fb0-8b55-43f0-85de-58a81f30a9f2",
"name": "OpenAI Chat Model1",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
1100,
860
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "o1",
"cachedResultName": "o1"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "AZynAxNG099jyj7B",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "ffcc38ac-0f0a-4fc7-8e65-86950ea6a01d",
"name": "Format Json and add Competitor URLs",
"type": "n8n-nodes-base.code",
"position": [
300,
660
],
"parameters": {
"jsCode": "const inputJson = $input.first().json;nconst rawUrls = inputJson.competitor_urls;nnconst competitorUrls = rawUrlsn .split(",")n .map(url => url.trim())n .filter(url => url.length > 0);nnconst outputJson = {n ...inputJson,n competitorUrls: competitorUrlsn};nnreturn [{ json: outputJson }];n"
},
"typeVersion": 2
},
{
"id": "cf522a25-6e62-4a34-b5dd-6684ea67e938",
"name": "Aggregate SV & CPC",
"type": "n8n-nodes-base.aggregate",
"position": [
880,
60
],
"parameters": {
"options": {},
"aggregate": "aggregateAllItemData"
},
"typeVersion": 1
},
{
"id": "781614a6-7afd-4465-86cb-05ef781b70fe",
"name": "Aggregate KWD",
"type": "n8n-nodes-base.aggregate",
"position": [
880,
260
],
"parameters": {
"options": {},
"aggregate": "aggregateAllItemData"
},
"typeVersion": 1
},
{
"id": "15ab5e60-1f8d-4fd5-bfd8-983a8e0861bb",
"name": "Merge SV, CPC & KWD",
"type": "n8n-nodes-base.merge",
"position": [
1174,
160
],
"parameters": {
"mode": "combine",
"options": {},
"combineBy": "combineByPosition"
},
"typeVersion": 3.1
},
{
"id": "19b056e8-8fb3-436a-b8be-356eeedbb57e",
"name": "Merge Topic Expansion, SV, CPC & KWD",
"type": "n8n-nodes-base.merge",
"position": [
1472,
235
],
"parameters": {
"mode": "combine",
"options": {},
"combineBy": "combineByPosition"
},
"typeVersion": 3.1
},
{
"id": "460a5cf3-691e-44c8-a1d3-8dcd43728851",
"name": "Aggregate Competitor Analysis",
"type": "n8n-nodes-base.aggregate",
"position": [
1472,
660
],
"parameters": {
"options": {},
"aggregate": "aggregateAllItemData"
},
"typeVersion": 1
},
{
"id": "b28fe5bb-2ca1-4c02-b45f-033af494d706",
"name": "Merge Everything",
"type": "n8n-nodes-base.merge",
"position": [
1720,
440
],
"parameters": {
"mode": "combine",
"options": {
"includeUnpaired": false
},
"combineBy": "combineByPosition",
"numberInputs": 3
},
"typeVersion": 3.1
},
{
"id": "a4851979-f231-458b-be3f-13eb3c14b0ee",
"name": "Write Content Brief ",
"type": "n8n-nodes-base.nocoDb",
"position": [
2320,
440
],
"parameters": {
"table": "mfsjucjn304v1hc",
"fieldsUi": {
"fieldValues": [
{
"fieldName": "primary_topic_used",
"fieldValue": "={{ $('Merge Everything').item.json.primary_topic }}"
},
{
"fieldName": "report_content",
"fieldValue": "={{ $json.output }}"
}
]
},
"operation": "create",
"projectId": "pl6znsxtne8x3yh",
"authentication": "nocoDbApiToken"
},
"credentials": {
"nocoDbApiToken": {
"id": "Nqxw0TptKnROWv9i",
"name": "NocoDB (hosted) Token account"
}
},
"typeVersion": 3
},
{
"id": "e13ecdf4-0696-4bd7-bbf5-49cb508072c6",
"name": "Update Status - Done",
"type": "n8n-nodes-base.nocoDb",
"position": [
2320,
600
],
"parameters": {
"table": "mp3qmbuye3pyihc",
"fieldsUi": {
"fieldValues": [
{
"fieldName": "Id",
"fieldValue": "={{ $('Merge Everything').item.json.id }}"
},
{
"fieldName": "=Status",
"fieldValue": "Done"
}
]
},
"operation": "update",
"projectId": "pl6znsxtne8x3yh",
"authentication": "nocoDbApiToken"
},
"credentials": {
"nocoDbApiToken": {
"id": "Nqxw0TptKnROWv9i",
"name": "NocoDB (hosted) Token account"
}
},
"typeVersion": 3
},
{
"id": "c23e1c12-41d3-4c91-8175-f035024c6339",
"name": "Send Notification",
"type": "n8n-nodes-base.slack",
"position": [
2320,
800
],
"webhookId": "d4615307-81b9-45a3-9d03-4fe5875811c1",
"parameters": {
"text": "=>> DONE <> START << nnSEO Keyword Research nPrimary Topic: {{ $json.primary_topic }}nTarget Audience: {{ $json.target_audience }}nContent Type: {{ $json.content_type }}nLocation: {{ $json.location }}nLanguage: {{ $json.language }}nCompetitor URLs: {{ $json.competitor_urls }}",
"select": "channel",
"channelId": {
"__rl": true,
"mode": "list",
"value": "C08Q7EQ8JNS",
"cachedResultName": "seo-keyword-research"
},
"otherOptions": {
"mrkdwn": false,
"includeLinkToWorkflow": false
}
},
"credentials": {
"slackApi": {
"id": "WSpsCFfmEwBZkHv1",
"name": "Slack account"
}
},
"typeVersion": 2.3
},
{
"id": "5af5855d-b858-4b9f-91bc-1cbb14c08258",
"name": "Update Status - Started",
"type": "n8n-nodes-base.nocoDb",
"position": [
-140,
40
],
"parameters": {
"table": "mp3qmbuye3pyihc",
"fieldsUi": {
"fieldValues": [
{
"fieldName": "Id",
"fieldValue": "={{ $json.id }}"
},
{
"fieldName": "=Status",
"fieldValue": "Started"
}
]
},
"operation": "update",
"projectId": "pl6znsxtne8x3yh",
"authentication": "nocoDbApiToken"
},
"credentials": {
"nocoDbApiToken": {
"id": "Nqxw0TptKnROWv9i",
"name": "NocoDB (hosted) Token account"
}
},
"typeVersion": 3
},
{
"id": "a9db9a15-acc1-411c-b596-810a2ce6b8f6",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-440,
-140
],
"parameters": {
"color": 7,
"width": 480,
"height": 360,
"content": "## Notification and Update Statusn"
},
"typeVersion": 1
},
{
"id": "bd0e0d35-dce3-47c4-bb85-de02ded10691",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
60,
40
],
"parameters": {
"width": 280,
"height": 540,
"content": "## Topic Expansion"
},
"typeVersion": 1
},
{
"id": "9bb138db-cf51-4614-aeb4-abe7b298aab7",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
400,
-80
],
"parameters": {
"color": 5,
"width": 1220,
"height": 540,
"content": "## Search Volume, Cost Per Click, Keyword Difficulty"
},
"typeVersion": 1
},
{
"id": "757c15fc-5b5f-44d6-ae06-43dac9c32b2c",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
260,
600
],
"parameters": {
"color": 4,
"width": 1360,
"height": 460,
"content": "## Competitor Research"
},
"typeVersion": 1
},
{
"id": "5459b4ee-f8dd-426b-b0f2-52b8ad6e1222",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
1700,
260
],
"parameters": {
"color": 6,
"width": 500,
"height": 540,
"content": "## Merge and write Final Keyword Strategy"
},
"typeVersion": 1
},
{
"id": "398ff4dd-d143-4944-96f3-3284cb391d84",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
2260,
260
],
"parameters": {
"color": 7,
"height": 720,
"content": "## Save, Update Status and Notify"
},
"typeVersion": 1
},
{
"id": "7d0ee538-62c7-4bdc-bd4a-be5f600c78b4",
"name": "Sticky Note6",
"type": "n8n-nodes-base.stickyNote",
"position": [
-740,
240
],
"parameters": {
"width": 400,
"height": 320,
"content": "## Input"
},
"typeVersion": 1
},
{
"id": "42f81576-ac7c-4ab2-a93b-3c95410bd801",
"name": "Sticky Note7",
"type": "n8n-nodes-base.stickyNote",
"position": [
460,
-280
],
"parameters": {
"color": 3,
"width": 820,
"height": 80,
"content": "# AI-Powered SEO Keyword Research Automation"
},
"typeVersion": 1
}
],
"active": true,
"pinData": {},
"settings": {
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