Auto-Tag Blog Posts in WordPress with AI

Automatically tag your WordPress blog posts with relevant keywords using the power of AI. This n8n workflow connects your WordPress site with OpenAI's advanced language models to intelligently analyze new or existing articles and assign appropriate tags, streamlining your content management process. It starts by either triggering manually or by an RSS Feed Trigger monitoring your blog for new content, then sends the article text to an OpenAI Chat Model for tag generation. The workflow then checks your existing WordPress tags via an HTTP Request to avoid duplicates, creates any new tags needed with another HTTP Request, and finally updates the WordPress post with the newly generated and existing tags. This automation is perfect for content managers, marketing teams, and bloggers who want to improve SEO, enhance content discoverability, and reduce the manual effort of categorizing a large volume of articles, ultimately saving significant time and ensuring consistent tagging across your entire blog.
32 nodesmanual trigger120 views0 copiesMarketing
WordPressOpenAI

Workflow JSON

{"id": "siXUnQhJpCJ9rHzu", "meta": {"instanceId": "a9f3b18652ddc96459b459de4fa8fa33252fb820a9e5a1593074f3580352864a", "templateCredsSetupCompleted": true}, "name": "Auto-Tag Blog Posts in WordPress with AI", "tags": [{"id": "ijuVOmJpw5mCrzQX", "name": "marketing", "createdAt": "2025-01-28T16:42:03.029Z", "updatedAt": "2025-01-28T16:42:03.029Z"}], "nodes": [{"id": "0561d80b-f360-4a8e-930d-49b778833991", "name": "OpenAI Chat Model", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [3260, 480], "parameters": {"options": {}}, "credentials": {"openAiApi": {"id": "", "name": "[Your openAiApi]"}}, "typeVersion": 1}, {"id": "d71aec64-299c-4258-8eb4-95821d15b758", "name": "Auto-fixing Output Parser", "type": "@n8n/n8n-nodes-langchain.outputParserAutofixing", "position": [3460, 540], "parameters": {}, "typeVersion": 1}, {"id": "1468a001-ca7b-4726-ae31-02b28d78b07e", "name": "OpenAI Chat Model1", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [3360, 680], "parameters": {"options": {}}, "credentials": {"openAiApi": {"id": "", "name": "[Your openAiApi]"}}, "typeVersion": 1}, {"id": "bb4221ad-94d7-4543-850f-87b83735d2a6", "name": "Structured Output Parser", "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "position": [3560, 760], "parameters": {"jsonSchemaExample": "{\n\t\"tags\": [\"Germany\", \"Technology\", \"Workflow Automation\"]\n}"}, "typeVersion": 1.2}, {"id": "2380c4ea-d804-45b2-8341-417afa2ae21f", "name": "RSS Feed Trigger", "type": "n8n-nodes-base.rssFeedReadTrigger", "position": [3140, 320], "parameters": {"pollTimes": {"item": [{"mode": "everyMinute"}]}}, "typeVersion": 1}, {"id": "782e9c61-7d51-499b-89b2-888415c5116e", "name": "Return article details", "type": "n8n-nodes-base.set", "position": [4140, 320], "parameters": {"options": {}, "assignments": {"assignments": [{"id": "ebe28fc7-f166-4428-b3f3-b319f2d080df", "name": "tag_ids", "type": "array", "value": "={{ $json.tag_ids }}"}, {"id": "bc296683-2a93-42b4-a9a7-90a2bc22f37b", "name": "title", "type": "string", "value": "={{ $('MOCK article').item.json.title }}"}, {"id": "32dc0950-3708-447e-a3b6-a5c5ae9bdcd0", "name": "content", "type": "string", "value": "={{ $('MOCK article').item.json.content }}"}]}}, "typeVersion": 3.4}, {"id": "6b5ce61f-8351-40ab-9e63-51c3e85ce53d", "name": "Split Out", "type": "n8n-nodes-base.splitOut", "position": [2200, 840], "parameters": {"options": {"destinationFieldName": "missing_tag"}, "fieldToSplitOut": "missing_tags"}, "typeVersion": 1}, {"id": "2338e3e8-cba4-48c8-8c1a-50019af70932", "name": "Loop over articles", "type": "n8n-nodes-base.splitInBatches", "position": [1980, 320], "parameters": {"options": {}}, "typeVersion": 3}, {"id": "39b89004-6032-4d22-8bcc-3dfd1d793ed0", "name": "SET initial record", "type": "n8n-nodes-base.set", "position": [2200, 440], "parameters": {"options": {}, "includeOtherFields": true}, "typeVersion": 3.4}, {"id": "ec0b93cb-de9d-41be-9d4b-6846d3ee14a2", "name": "GET WP tags", "type": "n8n-nodes-base.httpRequest", "position": [2440, 440], "parameters": {"url": "https://www.example.com/wp-json/wp/v2/tags", "options": {}, "authentication": "predefinedCredentialType", "nodeCredentialType": "wordpressApi"}, "credentials": {"wordpressApi": {"id": "", "name": "[Your wordpressApi]"}}, "executeOnce": true, "typeVersion": 4.2, "alwaysOutputData": true}, {"id": "cbabadef-9f5f-4402-8bd7-255f5c237ff9", "name": "POST WP tags", "type": "n8n-nodes-base.httpRequest", "position": [2420, 840], "parameters": {"url": "https://www.example.com/wp-json/wp/v2/tags", "method": "POST", "options": {}, "sendQuery": true, "authentication": "predefinedCredentialType", "queryParameters": {"parameters": [{"name": "slug", "value": "={{ $json.missing_tag }}"}, {"name": "name", "value": "={{ $json.missing_tag.replaceAll(\"-\",\" \").toTitleCase() }}"}]}, "nodeCredentialType": "wordpressApi"}, "credentials": {"wordpressApi": {"id": "", "name": "[Your wordpressApi]"}}, "executeOnce": false, "typeVersion": 4.2}, {"id": "6bf40d39-4b42-413f-9502-3ca494f75bcb", "name": "GET updated WP tags", "type": "n8n-nodes-base.httpRequest", "position": [2700, 840], "parameters": {"url": "https://www.example.com/wp-json/wp/v2/tags", "options": {}, "authentication": "predefinedCredentialType", "nodeCredentialType": "wordpressApi"}, "credentials": {"wordpressApi": {"id": "", "name": "[Your wordpressApi]"}}, "executeOnce": true, "typeVersion": 4.2}, {"id": "aea9a631-0cd8-4ed8-9fb1-981b8e11f3dd", "name": "Keep matches", "type": "n8n-nodes-base.filter", "position": [2200, 1040], "parameters": {"options": {}, "conditions": {"options": {"version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict"}, "combinator": "and", "conditions": [{"id": "8ec4fdfc-73f3-4d7b-96e4-f42a18252599", "operator": {"type": "array", "operation": "contains", "rightType": "any"}, "leftValue": "={{ $('SET initial record').first().json.tags.map(item => item.toLowerCase().replaceAll(\" \",\"-\")) }}", "rightValue": "={{ $json.slug }}"}]}}, "typeVersion": 2.2}, {"id": "6d71d7a5-495d-4809-b66f-9f1cba0d11c6", "name": "Combine tag_ids", "type": "n8n-nodes-base.aggregate", "position": [2420, 1040], "parameters": {"options": {}, "fieldsToAggregate": {"fieldToAggregate": [{"renameField": true, "outputFieldName": "tag_ids", "fieldToAggregate": "id"}]}}, "typeVersion": 1}, {"id": "dc3cac68-dee8-4821-963b-b0594d1a7e0e", "name": "Combine slugs", "type": "n8n-nodes-base.aggregate", "position": [2700, 440], "parameters": {"options": {}, "fieldsToAggregate": {"fieldToAggregate": [{"renameField": true, "outputFieldName": "tags", "fieldToAggregate": "slug"}]}}, "typeVersion": 1}, {"id": "8e0f668c-e3ac-4d70-9ffb-5515e6221c62", "name": "If", "type": "n8n-nodes-base.if", "position": [2440, 640], "parameters": {"options": {}, "conditions": {"options": {"version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict"}, "combinator": "and", "conditions": [{"id": "8d77d072-cb47-4fbb-831a-0e6f3ecefc71", "operator": {"type": "array", "operation": "empty", "singleValue": true}, "leftValue": "={{ $json.missing_tags }}", "rightValue": ""}]}}, "typeVersion": 2.2}, {"id": "7988188d-07e6-4a36-94f2-e21d7677802e", "name": "MOCK article", "type": "n8n-nodes-base.set", "position": [3740, 320], "parameters": {"options": {}, "assignments": {"assignments": [{"id": "4a69cf1b-341a-40bc-a36a-b76c05bdd819", "name": "title", "type": "string", "value": "={{ $('RSS Feed Trigger').item.json.title }}"}, {"id": "63097eb0-6165-4365-a5b5-e9f3de65d715", "name": "content", "type": "string", "value": "={{ $('RSS Feed Trigger').item.json.content }}"}, {"id": "ae4859ec-ad14-403e-b5b6-53703fefe3f3", "name": "categories", "type": "array", "value": "={{ $('RSS Feed Trigger').item.json.categories }}"}, {"id": "3f94d5ac-5196-4ad0-acea-79c07b0ee2c6", "name": "tags", "type": "array", "value": "={{ $json.output.tags }}"}]}}, "typeVersion": 3.4}, {"id": "4578cb14-dc86-4bc4-8d59-f0c088574164", "name": "Return missing tags", "type": "n8n-nodes-base.code", "position": [2200, 640], "parameters": {"jsCode": "const new_ary = $('SET initial record').first().json.tags.map(x => x.toLowerCase().replaceAll(\" \",\"-\")).filter(x => !$input.first().json.tags.includes(x))\n\nreturn {\"missing_tags\": new_ary};"}, "typeVersion": 2}, {"id": "91c8dde5-58ce-4bf6-ac3c-0062cbf0046e", "name": "Wordpress", "type": "n8n-nodes-base.wordpress", "position": [4360, 320], "parameters": {"title": "=Demo tagging post: {{ $json.title }}", "additionalFields": {"tags": "={{ $json.tag_ids }}", "content": "=This is a post to demo automatic tagging a WordPress postvia n8n. The following content could be rewritten in full or part with commentary using AI.\n\n{{ $json.content }}"}}, "credentials": {"wordpressApi": {"id": "", "name": "[Your wordpressApi]"}}, "typeVersion": 1}, {"id": "8257534e-f433-4225-a795-230fd367cc01", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [3000, 200], "parameters": {"color": 7, "width": 1673.0029952487134, "height": 1061.6563737812796, "content": "## Demo Usage in Another Workflow (Tagging an article discovered with an RSS feed)"}, "typeVersion": 1}, {"id": "b14e6fda-c569-4ada-90d9-77b61049c531", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [1680, 198.96245932022566], "parameters": {"color": 7, "width": 1243.102096674096, "height": 1077.24135750937, "content": "## Auto-Tag Posts in WordPress\n\nThis workflow allows you to hand off the responsibility of tagging content for WordPress to an AI Agent in n8n with no data entry required."}, "typeVersion": 1}, {"id": "21420d0f-a5c9-4eac-b6d9-06d3a6de5fb9", "name": "Demo Usage in Another Workflow", "type": "n8n-nodes-base.executeWorkflowTrigger", "position": [1780, 320], "parameters": {}, "typeVersion": 1}, {"id": "7571b196-3827-478f-b032-84d99adf4aa8", "name": "Auto-Tag Posts in WordPress", "type": "n8n-nodes-base.executeWorkflow", "position": [3940, 320], "parameters": {"mode": "each", "options": {}, "workflowId": {"__rl": true, "mode": "id", "value": "siXUnQhJpCJ9rHzu"}}, "typeVersion": 1.1}, {"id": "e5b63f63-09a6-452d-9d26-8501fc49d7fe", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [2640, 140], "parameters": {"color": 5, "width": 256.62869115182394, "height": 146.4958582739091, "content": "## Copy this workflow\n\nYou can use it inline by removing the Called by Another Workflow trigger, or as-is as a subworkflow"}, "typeVersion": 1}, {"id": "2ea9fbdd-b492-4030-b640-227a163d70ef", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [3040, 980], "parameters": {"width": 409.8780943583022, "height": 248.2919292392927, "content": "Handing off tagging and categorization fully to AI lets you **put your WordPress account on autopilot** without a human-in-the-loop.\n\nIn this example the application is use-case agnostic, but with this workflow you can:\n1. Use AI to rewrite content with original thoughts and tags\n2. Ensure healthy information architecture on your site\n3. Quickly generate multivariate tag and category combinations for optimal SEO"}, "typeVersion": 1}, {"id": "57cfa462-fc71-4173-b7c9-8253c4e240d1", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [3900, 500], "parameters": {"color": 3, "width": 369.61896876326364, "height": 103.91486928512641, "content": "### To ensure data can be passed to subsequent nodes, make sure to select \"Run Once for Each Item\" if executing a subworkflow"}, "typeVersion": 1}, {"id": "7f1dfade-07be-49b7-b5ee-99b58f1e6cc7", "name": "Sticky Note5", "type": "n8n-nodes-base.stickyNote", "position": [2640, 660], "parameters": {"color": 6, "width": 211.8330719827787, "content": "## What's this? \nIf there are missing tags we create them in WP, otherwise we keep get them all from WP and keep the relevant ones."}, "typeVersion": 1}, {"id": "61711c71-3e45-4b06-80a8-b651177b585d", "name": "Sticky Note6", "type": "n8n-nodes-base.stickyNote", "position": [1960, 540], "parameters": {"color": 3, "width": 174.33565557367925, "height": 251.80401948434695, "content": "## What's this? \nOne of the few potential failure points in this workflow, when checking for missing tags it's important that both the generated tags and the existing tags are in the same case (snake, dash, title)."}, "typeVersion": 1}, {"id": "31db85c9-e4c2-4409-9d92-7eb005223de0", "name": "Generate tags for article", "type": "@n8n/n8n-nodes-langchain.chainLlm", "position": [3360, 320], "parameters": {"text": "=Please provide 3-5 suitable tags for the following article:\n\n{{ $json.content }}\n\nTag Formatting Rules:\n1. Tags should be in title case", "promptType": "define", "hasOutputParser": true}, "typeVersion": 1.4}, {"id": "7d6eac92-6f6f-44a4-8dce-0830440a9dff", "name": "Sticky Note7", "type": "n8n-nodes-base.stickyNote", "position": [1600, 1040], "parameters": {"width": 285.2555025627061, "content": "## ! A note about cases !\nIf you want your tags to follow a different case than I am using (dash case for slug, title case for name), then you will need to update a few nodes in this workflow."}, "typeVersion": 1}, {"id": "133be2f7-071b-4651-b3b5-8052a64b7f49", "name": "Sticky Note8", "type": "n8n-nodes-base.stickyNote", "position": [2600, 1200], "parameters": {"color": 5, "width": 296.01271681531176, "content": "## Ready for a challenge?\n\nMake this subworkflow executable for both categories and tags, accounting for different API calls to different endpoints."}, "typeVersion": 1}, {"id": "7807e967-ac3d-4a4d-bd9d-f123d57e1676", "name": "Sticky Note9", "type": "n8n-nodes-base.stickyNote", "position": [4400, 1155.7364351382535], "parameters": {"color": 4, "width": 244.3952545193282, "height": 87.34661077350344, "content": "## About the maker\n**[Find Ludwig Gerdes on LinkedIn](https://www.linkedin.com/in/ludwiggerdes)**"}, "typeVersion": 1}], "active": false, "pinData": {"Generate tags for article": [{"json": {"output": {"tags": ["Team Achievements", "Global Community", "Product Growth", "2024 Highlights", "Reflecting on Progress"]}}}]}, "settings": {"executionOrder": "v1"}, "versionId": "3acdf19c-288e-4a3b-87ae-5adbf44285fe", "connections": {"If": {"main": [[{"node": "GET updated WP tags", "type": "main", "index": 0}], [{"node": "Split Out", "type": "main", "index": 0}]]}, "Split Out": {"main": [[{"node": "POST WP tags", "type": "main", "index": 0}]]}, "GET WP tags": {"main": [[{"node": "Combine slugs", "type": "main", "index": 0}]]}, "Keep matches": {"main": [[{"node": "Combine tag_ids", "type": "main", "index": 0}]]}, "MOCK article": {"main": [[{"node": "Auto-Tag Posts in WordPress", "type": "main", "index": 0}]]}, "POST WP tags": {"main": [[{"node": "GET updated WP tags", "type": "main", "index": 0}]]}, "Combine slugs": {"main": [[{"node": "Return missing tags", "type": "main", "index": 0}]]}, "Combine tag_ids": {"main": [[{"node": "Loop over articles", "type": "main", "index": 0}]]}, "RSS Feed Trigger": {"main": [[{"node": "Generate tags for article", "type": "main", "index": 0}]]}, "OpenAI Chat Model": {"ai_languageModel": [[{"node": "Generate tags for article", "type": "ai_languageModel", "index": 0}]]}, "Loop over articles": {"main": [[], [{"node": "SET initial record", "type": "main", "index": 0}]]}, "OpenAI Chat Model1": {"ai_languageModel": [[{"node": "Auto-fixing Output Parser", "type": "ai_languageModel", "index": 0}]]}, "SET initial record": {"main": [[{"node": "GET WP tags", "type": "main", "index": 0}]]}, "GET updated WP tags": {"main": [[{"node": "Keep matches", "type": "main", "index": 0}]]}, "Return missing tags": {"main": [[{"node": "If", "type": "main", "index": 0}]]}, "Return article details": {"main": [[{"node": "Wordpress", "type": "main", "index": 0}]]}, "Structured Output Parser": {"ai_outputParser": [[{"node": "Auto-fixing Output Parser", "type": "ai_outputParser", "index": 0}]]}, "Auto-fixing Output Parser": {"ai_outputParser": [[{"node": "Generate tags for article", "type": "ai_outputParser", "index": 0}]]}, "Generate tags for article": {"main": [[{"node": "MOCK article", "type": "main", "index": 0}]]}, "Auto-Tag Posts in WordPress": {"main": [[{"node": "Return article details", "type": "main", "index": 0}]]}, "Demo Usage in Another Workflow": {"main": [[{"node": "Loop over articles", "type": "main", "index": 0}]]}}}

How to Import This Workflow

  1. 1Copy the workflow JSON above using the Copy Workflow JSON button.
  2. 2Open your n8n instance and go to Workflows.
  3. 3Click Import from JSON and paste the copied workflow.

Don't have an n8n instance? Start your free trial at n8nautomation.cloud

Related Templates

Automate Blog Creation in Brand Voice with AI

Generate blog posts in your brand's unique voice and style directly within WordPress using this powerful AI-driven workflow. It begins by fetching existing articles from your blog via an HTTP request, then intelligently extracts their content and structure using an HTML node and an AI chain LLM to understand your established writing patterns. Concurrently, an AI information extractor analyzes these articles to pinpoint and define your brand's distinct voice characteristics. This extracted style and voice, along with the structural insights, are then fed into an AI content generation agent which crafts new blog post drafts. Finally, these AI-generated articles are automatically saved as drafts in your WordPress instance, ready for review and publication. This workflow is ideal for marketing teams, content creators, and agencies looking to scale their content production while maintaining consistent brand messaging and reducing the manual effort involved in drafting new posts, ultimately saving significant time and resources.

27 nodes

Send a ChatGPT email reply and save responses to Google Sheets

Automate your email responses with AI and meticulously track interactions by sending ChatGPT-generated replies to incoming emails and logging all conversation data into Google Sheets. This robust workflow connects Gmail to receive new emails, leverages OpenAI to craft intelligent responses, and utilizes Google Sheets to store a comprehensive record of both the original email content and the AI's reply. Businesses can use this to efficiently manage customer support inquiries, sales lead follow-ups, or internal communications, ensuring every message receives a prompt, personalized reply while building a valuable dataset for analysis and improvement. The primary benefit is a significant reduction in manual email handling time, improved response consistency, and the creation of an organized, searchable archive of all AI-powered email interactions, freeing up staff for more complex tasks. This setup not only streamlines communication but also provides a foundation for fine-tuning AI models with real-world feedback, further enhancing response quality over time.

49 nodes

Extract spend details (template)

Automate the extraction and tracking of spend details directly from your email inbox into Google Sheets. This workflow connects Gmail to automatically retrieve invoice and payment emails, then uses AI models like Google Gemini Chat Model and Groq Chat Model to intelligently parse and extract key financial data. The extracted information, including vendor, amount, date, and itemized details, is then seamlessly organized and sent to Google Sheets for centralized record-keeping. This powerful automation is ideal for marketing teams, small businesses, and freelancers who need to efficiently monitor expenses, reconcile accounts, and gain better financial visibility without manual data entry, saving significant time and reducing errors in financial tracking.

24 nodes

Ready to automate with n8n?

Get affordable managed n8n hosting with 24/7 support.