Generate AI search visibility datasets with Claude and GPT for tracking platforms
Ready for 3.0What this workflow does
This AI workflow has 23 nodes and runs when someone submits an n8n form (“Input”). Along the way it connects Anthropic. It also calls api.openai.com over HTTP.
How it runs
Trigger: When someone submits an n8n form (“Input”).
- Edit Fields (Edit Fields (Set)): sets 2 fields: company_name, company_website
- GPT_company_research (HTTP Request): calls api.openai.com (POST)
- Code: runs custom JavaScript code
- Remove citations (Code): runs custom JavaScript code
- Edit Fields (Edit Fields (Set)): sets 19 fields: industry, Unbranded category, category…
- Hard coded phrase - returns (Code): runs custom JavaScript code
- GPT_keywords_return (HTTP Request): calls api.openai.com (POST)
- Claude_text_writer_return (Anthropic): uses Anthropic
- Claude_text_writer (Anthropic): uses Anthropic
- Code: runs custom JavaScript code
…plus 12 more steps. See the full node list below.
Services it uses
HTTP calls to: api.openai.com
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (7)
- Edit Fields (Set)
n8n-nodes-base.set - Anthropic
@n8n/n8n-nodes-langchain.anthropic - HTTP Request
n8n-nodes-base.httpRequest - Code
n8n-nodes-base.code - Merge
n8n-nodes-base.merge - n8n Form Trigger
n8n-nodes-base.formTrigger - Convert to File
n8n-nodes-base.convertToFile
From the author
This n8n workflow automatically generates a comprehensive dataset of 50 AI search prompts tailored to a specific company. It combines AI-powered company research with structured prompt generation to create monitoring queries for tracking brand visibility…