Generate landing page layouts from competitor analysis with GPT-4
Needs changesNeeds changes. This template uses 1 thing(s) that n8n 3.0 removes: AI Agent v1 (old agent modes). 1 breaking item(s) found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 8 nodes and runs manually, when you click “Execute workflow”. Along the way it connects OpenAI Chat Model.
How it runs
Trigger: Manually, when you click “Execute workflow”.
- Set input data (Edit Fields (Set)): sets 3 fields: my_services, my_target_audience , competitor_url
- Split competitor url (Split Out): splits a list into separate items
- Analyze competitor (AI Agent): runs an AI agent, with model: OpenAI GPT 4.
- Aggregate: combines items into one
- GenerateLayout (AI Agent): runs an AI agent, with model: OpenAI GPT 4.
Services it uses
Before you upgrade to n8n 3.0
1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:
- AI Agent v1 (old agent modes) in GenerateLayout (v1.9), Analyze competitor (v1.9): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
Rather not rewrite it? Many of these flows can be rebuilt in Make (free plan).
| Removed in 3.0 | Replace with |
|---|---|
| AI Agent v1 (old agent modes) GenerateLayout (v1.9), Analyze competitor (v1.9) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (6)
- Manual Trigger
n8n-nodes-base.manualTrigger - AI Agent
@n8n/n8n-nodes-langchain.agent - Edit Fields (Set)
n8n-nodes-base.set - Split Out
n8n-nodes-base.splitOut - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Aggregate
n8n-nodes-base.aggregate
From the author
Who is this for? This workflow is ideal for SEO specialists, web designers, and digital marketers who want to quickly draft effective landing page layouts by referencing established competitors. It suits users who need a fast, structured starting point for…