Generate AI search–driven FAQ insights for SEO with SE Ranking and OpenAI GPT-4.1-mini
Needs changesWhat this workflow does
This AI workflow has 15 nodes and runs manually, when you click “Execute workflow”. Along the way it connects OpenAI Chat Model. It also calls api.seranking.com over HTTP.
How it runs
Trigger: Manually, when you click “Execute workflow”.
- Set the Input Fields (Edit Fields (Set)): sets 10 fields: target_site, engine, source…
- SE Ranking Prompts by Target (HTTP Request): calls api.seranking.com
- Extract All Links (Code): runs custom JavaScript code
- Extract QnA (Code): runs custom JavaScript code
- Extract Questions Only (Code): runs custom JavaScript code
- Extract Prompts (Code): runs custom JavaScript code
- Perform Custom Data Merge (Merge): merges the data from its input branches
- AI QnA Zeroshot Classifier (Information Extractor): extracts structured fields from text with AI, with model: OpenAI Chat Model
- Custom Data Aggregation (Aggregate): combines items into one
- Merge: merges the data from its input branches
…plus 3 more steps. See the full node list below.
Services it uses
HTTP calls to: api.seranking.com
Before you upgrade to n8n 3.0
1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:
- Function (legacy) in Create a Binary Data: replace with Code node, mode 'Run Once for All Items'.
| Removed in 3.0 | Replace with |
|---|---|
| Function (legacy) Create a Binary Data | Code node, mode 'Run Once for All Items' |
Nodes used (10)
- Manual Trigger
n8n-nodes-base.manualTrigger - Edit Fields (Set)
n8n-nodes-base.set - HTTP Request
n8n-nodes-base.httpRequest - Code
n8n-nodes-base.code - Information Extractor
@n8n/n8n-nodes-langchain.informationExtractor - Aggregate
n8n-nodes-base.aggregate - Merge
n8n-nodes-base.merge - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Read/Write Files from Disk
n8n-nodes-base.readWriteFile - Function
n8n-nodes-base.function
From the author
This workflow automates the discovery and structuring of FAQs from real AI search behavior using SE Ranking and OpenAI. It fetches domain-specific AI search prompts and answers, then extracts relevant questions, responses, and source links. Each question is…