Block 1 - Sticky Note
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
Automate competitor research with Exa.ai, Notion and AI agents
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Important notice
This workflow is provided as-is. Please review and test before using in production.
1. Workflow Overview
This n8n workflow demonstrates a simple multi agent setup to perform the task of competitor research. It showcases how using the HTTP request tool could reduce the number of nodes needed to achieve...
Best for
- Market Research automation workflows
- AI RAG automation workflows
- advanced n8n builders looking for reusable templates
Tools used
n8n-nodes-base.stickynote, n8n-nodes-base.manualtrigger, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.toolhttprequest, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.removeduplicates, n8n-nodes-base.set, n8n-nodes-base.splitout
Source and attribution
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Jimleuk.
Original n8n.io source1.1 Workflow description
- Title
- Automate competitor research with Exa.ai, Notion and AI agents
- Workflow name
- Automate competitor research with Exa.ai, Notion and AI agents
This n8n workflow demonstrates a simple multi-agent setup to perform the task of competitor research. It showcases how using the HTTP request tool could reduce the number of nodes needed to achieve a workflow like this.
How it works
- For this template, a source company is defined by the user which is sent to Exa.ai to find competitors.
- Each competitor is then funnelled through 3 AI agents that will go out onto the internet and retrieve specific datapoints about the competitor; company overview, product offering and customer reviews.
- Once the agents are finished, the results are compiled into a report which is then inserted in a notion database.
Check out an example output here: https://jimleuk.notion.site/2d1c3c726e8e42f3aecec6338fd24333?v=de020fa196f34cdeb676daaeae44e110&pvs=4
Requirements
- An OpenAI account for the LLM.
- Exa.ai account for access to their AI search engine.
- SerpAPI account for Google search.
- Firecrawl.dev account for webscraping.
- Notion.com account for database to save final reports.
Customising the workflow
Add additional agents to gather more datapoints such as SEO keywords and metrics.
Not using notion? Feel free to swap this out for your own database.
1.2 Logical Blocks
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
2. Block-by-Block Analysis
Block 2 - When clicking ‘Test workflow’
- Type / Role
- n8n-nodes-base.manualTrigger - manualTrigger
- Config choices
- Version 1
Block 3 - OpenAI Chat Model1
- Type / Role
- @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
- Config choices
- Version 1
Block 4 - Search Crunchbase
- Type / Role
- @n8n/n8n-nodes-langchain.toolHttpRequest - toolHttpRequest
- Config choices
- Version 1
Block 5 - Search WellFound
- Type / Role
- @n8n/n8n-nodes-langchain.toolHttpRequest - toolHttpRequest
- Config choices
- Version 1
Block 6 - Search LinkedIn
- Type / Role
- @n8n/n8n-nodes-langchain.toolHttpRequest - toolHttpRequest
- Config choices
- Version 1
Block 7 - Structured Output Parser1
- Type / Role
- @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
- Config choices
- Version 1.2
Block 8 - Webscraper Tool1
- Type / Role
- @n8n/n8n-nodes-langchain.toolHttpRequest - toolHttpRequest
- Config choices
- Version 1
Block 9 - Remove Duplicates
- Type / Role
- n8n-nodes-base.removeDuplicates - removeDuplicates
- Config choices
- Version 1.1
Block 10 - Extract Domain
- Type / Role
- n8n-nodes-base.set - set
- Config choices
- Version 3.4
Block 11 - Results to List
- Type / Role
- n8n-nodes-base.splitOut - splitOut
- Config choices
- Version 1
Block 12 - Check Company Profiles Exist
- Type / Role
- @n8n/n8n-nodes-langchain.toolHttpRequest - toolHttpRequest
- Config choices
- Version 1
Block 13 - Webscraper Tool
- Type / Role
- @n8n/n8n-nodes-langchain.toolHttpRequest - toolHttpRequest
- Config choices
- Version 1
Block 14 - Search Company Website
- Type / Role
- @n8n/n8n-nodes-langchain.toolHttpRequest - toolHttpRequest
- Config choices
- Version 1
Block 15 - Structured Output Parser
- Type / Role
- @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
- Config choices
- Version 1.2
Block 16 - OpenAI Chat Model
- Type / Role
- @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
- Config choices
- Version 1
Block 17 - Search Product Review Sites
- Type / Role
- @n8n/n8n-nodes-langchain.toolHttpRequest - toolHttpRequest
- Config choices
- Version 1
Block 18 - Webscraper Tool2
- Type / Role
- @n8n/n8n-nodes-langchain.toolHttpRequest - toolHttpRequest
- Config choices
- Version 1
Block 19 - Structured Output Parser2
- Type / Role
- @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
- Config choices
- Version 1.2
Block 20 - OpenAI Chat Model2
- Type / Role
- @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
- Config choices
- Version 1
Block 21 - Insert Into Notion
- Type / Role
- n8n-nodes-base.notion - notion
- Config choices
- Version 2.2
Block 22 - Limit
- Type / Role
- n8n-nodes-base.limit - limit
- Config choices
- Version 1
Block 23 - Loop Over Items
- Type / Role
- n8n-nodes-base.splitInBatches - splitInBatches
- Config choices
- Version 3
Block 24 - Competitor Search via Exa.ai
- Type / Role
- n8n-nodes-base.httpRequest - httpRequest
- Config choices
- Version 4.2
Showing the first 24 of 39 workflow blocks. Download the JSON for the full node graph.
3. Summary Table
| Workflow | Automate competitor research with Exa.ai, Notion and AI agents |
|---|---|
| Complexity | advanced |
| Nodes | 39 |
| Categories | Market Research, AI RAG |
| Author | Jimleuk |
| Published | 24 Jul 2024 |
4. Reproducing the Workflow from Scratch
-
1. Download the workflow JSON
Use the JSON export at /data/workflows/2354/2354.json as the source template for this automation.
-
2. Import the template into n8n
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
-
3. Configure credentials and variables
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
-
4. Test with sample data
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
-
5. Activate and monitor
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
5. General Notes & Resources
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
Frequently asked questions
What does Automate competitor research with Exa.ai, Notion and AI agents do?
This n8n workflow demonstrates a simple multi agent setup to perform the task of competitor research. It showcases how using the HTTP request tool could reduce the number of nodes needed to achieve...
What do I need before importing this workflow?
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Can I customize this workflow?
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Market Research, AI RAG use case.