Ranjan Dailata This workflow corresponds to n8n.io template #12442 — we link there as the canonical source.
This workflow follows the HTTP Request → Readwritefile recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"id": "q1yAKyD2NfnwIDsO",
"meta": {
"templateCredsSetupCompleted": true
},
"name": "Brand Search Intelligence from AI SERPs (SE Ranking + OpenAI GPT 4.1-mini)",
"tags": [
{
"id": "Kujft2FOjmOVQAmJ",
"name": "Engineering",
"createdAt": "2025-04-09T01:31:00.558Z",
"updatedAt": "2025-04-09T01:31:00.558Z"
},
{
"id": "ZOwtAMLepQaGW76t",
"name": "Building Blocks",
"createdAt": "2025-04-13T15:23:40.462Z",
"updatedAt": "2025-04-13T15:23:40.462Z"
},
{
"id": "ddPkw7Hg5dZhQu2w",
"name": "AI",
"createdAt": "2025-04-13T05:38:08.053Z",
"updatedAt": "2025-04-13T05:38:08.053Z"
},
{
"id": "qpxJxOMCv2x7Op5c",
"name": "SERP",
"createdAt": "2025-04-03T15:37:19.686Z",
"updatedAt": "2025-04-03T15:37:19.686Z"
}
],
"nodes": [
{
"id": "895358ea-48f0-427a-994f-3edc9dc1ea11",
"name": "When clicking \u2018Execute workflow\u2019",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-960,
32
],
"parameters": {},
"typeVersion": 1
},
{
"id": "483ba8b7-e005-44f1-8518-7da182f445aa",
"name": "Set the Input Fields",
"type": "n8n-nodes-base.set",
"position": [
-736,
32
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "51fefe77-637c-456c-b037-e53b76e74fc5",
"name": "brand",
"type": "string",
"value": "LinkedIn"
},
{
"id": "24725cc6-edeb-4c8d-b8e7-31d58ae53822",
"name": "engine",
"type": "string",
"value": "perplexity"
},
{
"id": "cf825d67-60e7-4505-b6be-d67d0fb8f98f",
"name": "source",
"type": "string",
"value": "us"
},
{
"id": "893bdd5a-2cbe-4a1a-b320-38f7623bc219",
"name": "sort",
"type": "string",
"value": "volume"
},
{
"id": "dac73871-e90a-4794-b055-28fd702a8509",
"name": "sort_order",
"type": "string",
"value": "desc"
},
{
"id": "d8d073ca-de12-4e4b-bce5-e658c69b264a",
"name": "offset",
"type": "string",
"value": "0"
},
{
"id": "0453df05-8fb6-4685-94f1-8dd37a95f067",
"name": "limit",
"type": "string",
"value": "10"
},
{
"id": "cbfe1705-e817-414d-a4c3-73ea9edeb576",
"name": "multi_keyword_included",
"type": "string",
"value": "[ [ { \"type\": \"contains\", \"value\": \"seo\" } ] ]"
},
{
"id": "9ed54323-3bb2-4471-aab2-fb642a2a95ef",
"name": "multi_keyword_excluded",
"type": "string",
"value": "[ [ { \"type\": \"contains\", \"value\": \"seo\" }, { \"type\": \"contains\", \"value\": \"tools\" } ], [ { \"type\": \"contains\", \"value\": \"backlinks\" } ] ]"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "719e0593-3724-40c8-be91-f41e1aa53e92",
"name": "Write File to Disk",
"type": "n8n-nodes-base.readWriteFile",
"position": [
544,
160
],
"parameters": {
"options": {},
"fileName": "=C:\\\\SERanking_ByBrand.json",
"operation": "write",
"dataPropertyName": "=data"
},
"typeVersion": 1
},
{
"id": "92f5e132-aef9-4ee6-8260-5b0e8ead3c09",
"name": "Create a Binary Data",
"type": "n8n-nodes-base.function",
"position": [
320,
160
],
"parameters": {
"functionCode": "items[0].binary = {\n data: {\n data: new Buffer(JSON.stringify(items[0].json, null, 2)).toString('base64')\n }\n};\nreturn items;"
},
"typeVersion": 1
},
{
"id": "48e30203-969f-4e0a-9a65-a72da9eb7e7e",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-336,
-176
],
"parameters": {
"color": 7,
"width": 576,
"height": 736,
"content": "## Custom Data Extraction\n\nExtracts brand prompts, answers, and supporting reference links. Normalizes raw API responses into structured, usable data. Combines extracted prompts, answers, and links into a unified dataset. Prepares the data for analysis, reporting, or downstream workflows."
},
"typeVersion": 1
},
{
"id": "bf8550e8-7696-4452-abd7-ade4a3f3ba67",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
256,
-176
],
"parameters": {
"color": 7,
"width": 576,
"height": 736,
"content": "## Export Data Handling\n\nConverts the final dataset into structured JSON output. Stores results for brand research, content strategy, or automation."
},
"typeVersion": 1
},
{
"id": "902893f3-c4bb-428e-b316-3684aaf04ace",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-816,
-176
],
"parameters": {
"color": 7,
"width": 464,
"height": 736,
"content": "## AI Search with SE Ranking by Brand\n\nRetrieves real AI search prompts and answers related to a specific brand. Provides authentic brand-level search intelligence from AI-driven SERPs."
},
"typeVersion": 1
},
{
"id": "cd0848e1-9440-47d8-944b-33d67c67c2f8",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1520,
-192
],
"parameters": {
"width": 496,
"height": 752,
"content": "## **How It Works**\n\nThis workflow analyzes real AI search prompts associated with a specific brand using SE Ranking. It starts with a manual trigger where brand name, AI search engine, region, sorting preferences, and limits are configured. These parameters are sent to the **SE Ranking Prompts by Brand API** to retrieve real-world AI-generated search prompts, answers, and supporting links related to the brand.\n\n## **Setup Instructions**\n\n1. Configure credentials:\n\n * **SE Ranking API** via HTTP Header Authentication.\n2. Update the **Set the Input Fields** node with your target brand, AI engine, region, and result limits.\n3. Confirm the output file path in the **Write File to Disk** node matches your environment.\n4. Click **Execute Workflow** to generate brand-based AI search insights.\n\n## **Customize**\n\n* Change the brand name to analyze different companies or products.\n* Adjust sorting, limits, or AI engines to explore alternative search behaviors.\n* Add OpenAI summarization or classification steps for deeper insight enrichment.\n* Replace file export with database, dashboard, or webhook integrations for automation.\n"
},
"typeVersion": 1
},
{
"id": "b29ace75-4b53-4edf-bcfb-664c41895fb7",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1520,
-448
],
"parameters": {
"color": 7,
"width": 496,
"height": 240,
"content": "\n\nOpenAI GPT-4o-mini for the Structured Data Extraction and Data Mining Purposes"
},
"typeVersion": 1
},
{
"id": "e533bd48-c24e-4467-993d-6112e5b6a82b",
"name": "Extract All Links",
"type": "n8n-nodes-base.code",
"position": [
-224,
0
],
"parameters": {
"jsCode": "const prompts = $input.first().json.prompts || [];\n\nconst urls = prompts.flatMap(p => p.answer?.links || []);\n\nconst data = urls\n .filter(Boolean)\n .map(u => u.trim())\n .filter(u => u.startsWith(\"http\"));\n\nreturn [{ links: data }];"
},
"typeVersion": 2
},
{
"id": "cec3ee7c-16f2-4eae-a14f-e91e29dca4b9",
"name": "Extract Prompts with Answers",
"type": "n8n-nodes-base.code",
"position": [
-224,
192
],
"parameters": {
"jsCode": "/**\n * Extract prompts with answers (excluding links)\n * Input: SE Ranking AI Search API response\n * Output: Array of { prompt, answer }\n */\n\nconst output = [];\nconst data = $input.first().json\nfor (const p of data.prompts) {\n if (p.prompt && p.answer?.text) {\n output.push({\n json: {\n prompt: p.prompt.trim(),\n answer: p.answer.text.trim()\n }\n });\n }\n}\n\nreturn { prompts: output}\n"
},
"typeVersion": 2
},
{
"id": "ceb38a90-52a3-46f1-8268-1feb0a9eb329",
"name": "Extract JSON",
"type": "n8n-nodes-base.code",
"position": [
-224,
400
],
"parameters": {
"jsCode": "const data = $input.first().json.prompts\nreturn { prompts_with_links: data}"
},
"typeVersion": 2
},
{
"id": "52e48cc2-dbd4-464a-a665-98acc660f4f8",
"name": "SE Ranking AI Request by Brand",
"type": "n8n-nodes-base.httpRequest",
"position": [
-512,
32
],
"parameters": {
"url": "https://api.seranking.com/v1/ai-search/prompts-by-brand",
"options": {
"redirect": {
"redirect": {
"followRedirects": false
}
}
},
"sendQuery": true,
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"queryParameters": {
"parameters": [
{
"name": "brand",
"value": "={{ $json.brand }}"
},
{
"name": "source",
"value": "={{ $json.source }}"
},
{
"name": "engine",
"value": "={{ $json.engine }}"
},
{
"name": "sort",
"value": "={{ $json.sort }}"
},
{
"name": "sort_order",
"value": "={{ $json.sort_order }}"
},
{
"name": "offset",
"value": "={{ $json.offset }}"
},
{
"name": "limit",
"value": "={{ $json.limit }}"
}
]
}
},
"credentials": {
"httpBearerAuth": {
"name": "<your credential>"
},
"httpHeaderAuth": {
"name": "<your credential>"
}
},
"executeOnce": false,
"retryOnFail": true,
"typeVersion": 4.3
},
{
"id": "20d98b5d-9228-40b9-a735-d2527b2fcf71",
"name": "Merge Responses",
"type": "n8n-nodes-base.merge",
"position": [
48,
144
],
"parameters": {
"mode": "combine",
"options": {},
"combineBy": "combineByPosition",
"numberInputs": 3
},
"typeVersion": 3.2
}
],
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "6fa4959c-0be5-4425-87f5-298ba421fa09",
"connections": {
"Extract JSON": {
"main": [
[
{
"node": "Merge Responses",
"type": "main",
"index": 2
}
]
]
},
"Merge Responses": {
"main": [
[
{
"node": "Create a Binary Data",
"type": "main",
"index": 0
}
]
]
},
"Extract All Links": {
"main": [
[
{
"node": "Merge Responses",
"type": "main",
"index": 0
}
]
]
},
"Create a Binary Data": {
"main": [
[
{
"node": "Write File to Disk",
"type": "main",
"index": 0
}
]
]
},
"Set the Input Fields": {
"main": [
[
{
"node": "SE Ranking AI Request by Brand",
"type": "main",
"index": 0
}
]
]
},
"Extract Prompts with Answers": {
"main": [
[
{
"node": "Merge Responses",
"type": "main",
"index": 1
}
]
]
},
"SE Ranking AI Request by Brand": {
"main": [
[
{
"node": "Extract All Links",
"type": "main",
"index": 0
},
{
"node": "Extract Prompts with Answers",
"type": "main",
"index": 0
},
{
"node": "Extract JSON",
"type": "main",
"index": 0
}
]
]
},
"When clicking \u2018Execute workflow\u2019": {
"main": [
[
{
"node": "Set the Input Fields",
"type": "main",
"index": 0
}
]
]
}
}
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
httpBearerAuthhttpHeaderAuth
Pro
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About this workflow
This workflow automates brand intelligence analysis across AI-powered search results by combining SE Ranking’s AI Search data with structured processing in n8n.
Source: https://n8n.io/workflows/12442/ — original creator credit. Request a take-down →
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