Automate Competitor Research with Exa.ai, Notion and AI Agents — Flujo de trabajo n8n

Alta complejidad Disparador30 nodos AI👁 22,060 vistaspor Jimleuk

Descripción general

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,

Nodos utilizados

HTTP RequestNotionAI AgentOpenAI Chat ModelStructured Output Parser

Vista previa del flujo de trabajo

Try It Out!
This workflow builds a competitor research agent using
Step 1. Get Competitors
Read more about using the HTTP Request node
Exa.ai is a relatively new AI search engine st
🚨Required!
Remember to set your company here.
Step 2. Feed into Agent Pipeline
Learn more about loops
A loop is used to ensure competitors are processed one
Step 4. Research Competitor Product Offering
Learn more about using AI Agents
This agent uses SERPAPI
Step 3. Discover Competitor Company and Fundi
Learn more about using AI Agents
This agent
Step 5. Capture Competitor Product Reviews
Learn more about using AI Agents
This agent uses SERPAPI t
Step 6. Collect Results and Send to Notion
Read more about using Notion
Finally, once the agent's have completed their t
🚨Required!
Remember to set your Notion Database here.
tooltooltooltooltooltoolmodeltoolmodelmodeltoolparserparserparsertooltool
W
When clicking ‘Test work…
OpenAI Chat Model1
S
Search Crunchbase
S
Search WellFound
S
Search LinkedIn
Structured Output Parser1
W
Webscraper Tool1
R
Remove Duplicates
E
Extract Domain
R
Results to List
C
Check Company Profiles E…
W
Webscraper Tool
S
Search Company Website
Structured Output Parser
OpenAI Chat Model
S
Search Product Review Si…
W
Webscraper Tool2
Structured Output Parser2
OpenAI Chat Model2
Insert Into Notion
L
Limit
L
Loop Over Items
Competitor Search via Ex…
G
Get Company News
S
Set Source Company
C
Collect Results
2
2sec
Company Overview Agent
Company Product Offering…
Company Product Reviews …
30 nodes30 edges

Cómo funciona

  1. 1

    Disparador

    El flujo de trabajo comienza con un disparador disparador.

  2. 2

    Procesamiento

    Los datos fluyen a través de 30 nodos, connecting agent, httprequest, limit.

  3. 3

    Salida

    El flujo de trabajo completa su automatización y entrega el resultado al destino configurado.

Detalles de nodos (30)

HT

HTTP Request

httpRequest

#1
NO

Notion

notion

#2
AI

AI Agent

n8n-nodes-langchain.agent

#3
OP

OpenAI Chat Model

n8n-nodes-langchain.lmChatOpenAi

#4
ST

Structured Output Parser

n8n-nodes-langchain.outputParserStructured

#5

Cómo importar este flujo de trabajo

  1. 1Haz clic en el botón Descargar JSON a la derecha para guardar el archivo del flujo de trabajo.
  2. 2Abre tu instancia de n8n. Ve a Flujos de trabajo → Nuevo → Importar desde archivo.
  3. 3Selecciona el archivo automate-competitor-research-with-exaai-notion-and-ai-agents descargado y haz clic en Importar.
  4. 4Configura las credenciales para cada nodo de servicio (claves API, OAuth, etc.).
  5. 5Haz clic en Probar flujo de trabajo para verificar que todo funcione, luego actívalo.

O pega directamente en n8n → Importar desde JSON:

{ "name": "Automate Competitor Research with Exa.ai, Notion and AI Agents", "nodes": [...], ...}

Integraciones

agenthttprequestlimitlmchatopenaimanualtriggernotionoutputparserstructuredremoveduplicatessetsplitinbatchessplitouttoolhttprequestwait

Obtener este flujo de trabajo

Descarga e importa con un solo clic

Descargar JSONVer en n8n.io
Nodos30
Complejidadhigh
Disparadortrigger
Vistas22,060
CategoríaAI

Creado por

Jimleuk

Jimleuk

@jimleuk

Etiquetas

agenthttprequestlimitlmchatopenaimanualtriggernotionoutputparserstructuredremoveduplicatessetsplitinbatches

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