# Find competitive websites from a domain with OpenAI: n8n workflow > Started by someone opening a chat with it, and works across Google Sheets. It puts OpenAI behind a retrieval step, so answers are drawn from documents you... Source: https://millionrounds.com/workflow/find-competitive-websites-from-a-domain-with-openai (Millionrounds; every figure on the page links to its filing or article) [Automation library](https://millionrounds.com/workflows) 路 [Data collection](https://millionrounds.com/workflows?category=Data+collection#library) # Find competitive websites from a domain with OpenAI Started by someone opening a chat with it, and works across Google Sheets. It puts OpenAI behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 16 steps: a working afternoon to understand properly. Medium Calls a model: OpenAI Retrieval [Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Ffind-competitive-websites-from-a-domain-with-openai) **16 steps** Medium: a working afternoon **0** Branches: places the flow splits **0** Loops or waits **1** Service it connects to ## The flow Starts it 1 Model 10 Logic 3 Service 2 The steps in the order they run, from what starts it. - 1 **OpenAI Chat Model** Lm Chat Open Ai *Model* - 2 **When chat message received** Chat trigger *Starts it* - 3 **Simple Memory** Memory Buffer Window *Model* - 4 **OpenAI Chat Model1** Lm Chat Open Ai *Model* - 5 **Structured Output Parser1** Output Parser Structured *Model* - 6 **OpenAI Chat Model2** Lm Chat Open Ai *Model* - 7 **SerpAPI to search keywords from domain** Tool Serp Api *Model* - 8 **SerpAPI to match keywords with other domains** Tool Serp Api *Model* - 9 **馃 SERP Scraper Agent (MCP)** Agent *Model* - 10 **馃摑 Input: Keyword & Domain** Set *Logic* - 11 **Auto-fixing Output Parser** Output Parser Autofixing *Model* - 12 **馃 SERP Scraper Agent (MCP)1** Agent *Model* - 13 **Define sheet format** Code *Logic* - 14 **馃 Format SERP Results** Code *Logic* - 15 **Append row in sheet** Google Sheets *Service* - 16 **馃搳 Log to Google Sheets** Google Sheets *Service* ## How it's built - **Starts on:** Someone opening a chat with it - **Steps:** 16 - **Size:** Medium: a working afternoon - **Connects to:** Google Sheets - **Model:** OpenAI - **Retrieval:** Answers are drawn from documents you supply, not from the model alone ## Questions What does it need to run? An n8n account, plus your own Google Sheets account, and a key for OpenAI. You connect your own accounts after importing it; none are included. What starts it? It starts on someone opening a chat with it. Does it use AI? Yes. It calls OpenAI. Its answers draw on documents you give it, not on the model alone. Model calls are billed by the provider, not by n8n. How long does it take to set up? Plan an afternoon. 16 steps is enough that you should read each one before running it. How do I import it? Copy the workflow, open a new workflow in n8n and paste. The steps appear on the canvas, ready for your own accounts. **Before you run it** Nothing here has been tested by us. It is somebody's working automation, read and described from its own steps. Treat the connections it wants as a list of accounts it will touch, and read the 16 steps before you point it at anything that matters. ## Run it in n8n - **Create your n8n account** Free to start. n8n is where the workflow runs. [Create an n8n account 鈫梋(https://millionrounds.com/n8n) - **Download the workflow** Free with a Millionrounds account. [Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Ffind-competitive-websites-from-a-domain-with-openai) - **Paste it into n8n** Open a new workflow in n8n and paste. Then connect your own accounts. Stored with the author's traces removed: canvas notes, instance identifiers, saved credential names and any live document they had left behind. ## Connects to Each opens the other workflows that use it. [Google Sheets](https://millionrounds.com/workflows?service=Google+Sheets#library) ## Workflows like it Also data collection, with the same services where possible, closest in size first. - [**AI-powered knowledge assistant with Google Sheets and OpenAI** 16 steps 路 calls a model 路 Google Sheets, Supabase vectors](https://millionrounds.com/workflow/ai-powered-knowledge-assistant-with-google-sheets-and-openai) - [**Analyze search intent for keywords with Google and Bright Data** 16 steps 路 calls a model 路 Google Sheets](https://millionrounds.com/workflow/analyze-search-intent-for-keywords-with-google-and-bright-da) - [**AppSheet intelligent query orchestrator- query any data** 16 steps 路 calls a model 路 Google Sheets](https://millionrounds.com/workflow/appsheet-intelligent-query-orchestrator-query-any-data) - [**Automate Real Estate Listing Scraper with ScrapeGraph AI** 16 steps 路 calls a model 路 Google Sheets](https://millionrounds.com/workflow/automate-real-estate-listing-scraper-with-scrapegraph-ai) - [**Clean and deduplicate supplier master data with Google Sheets** 16 steps 路 calls a model 路 Gmail, Google Sheets](https://millionrounds.com/workflow/clean-and-deduplicate-supplier-master-data-with-google-sheet) - [**Compare gold and equity performance with Google Sheets** 16 steps 路 calls a model 路 Gmail, Google Sheets](https://millionrounds.com/workflow/compare-gold-and-equity-performance-with-google-sheets)