Landing page analyzing agent

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Use Cases Analyze e commerce product pages for conversion optimization, audit SaaS landing pages for signup improvements, or evaluate marketing campaign pages for better lead generation. Good to kn...

Best for

AI Summarization automation workflows
Multimodal AI automation workflows
intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.formtrigger, n8n-nodes-base.httprequest, n8n-nodes-base.markdown, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.form, @n8n/n8n-nodes-langchain.informationextractor, n8n-nodes-base.stickynote, @n8n/n8n-nodes-langchain.lmchatgooglegemini

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Rakin Jakaria.

Original n8n.io source

1.1 Workflow description

Title: Landing page analyzing agent
Workflow name: Landing page analyzing agent

Use Cases Analyze e-commerce product pages for conversion optimization, audit SaaS landing pages for signup improvements, or evaluate marketing campaign pages for better lead generation.

Good to know

At time of writing, Google Gemini API calls have usage costs. See Google AI Pricing for current rates.
The workflow analyzes publicly accessible pages only - pages behind login walls or with restricted access won't work.
Analysis quality depends on page content structure - heavily image-based pages may receive limited text-based recommendations.

How it works

User submits a landing page URL through the form trigger interface.
The HTTP Request node fetches the complete HTML content from the target landing page.
Content is converted from HTML to markdown format for cleaner AI processing and better text extraction.
Google Gemini 2.5 Flash analyzes the page using expert CRO knowledge and 2024 conversion best practices.
The AI generates specific, actionable recommendations based on actual page content rather than generic advice.
Information Extractor processes the analysis into 5 prioritized improvement tips with relevant visual indicators.
Results are delivered through a completion form showing concrete steps to improve conversion rates.

How to use

The form trigger is configured for direct URL submission but can be replaced with webhook triggers for integration into existing websites or apps.
Multiple pages can be analyzed sequentially, though each requires a separate workflow execution.
Recommendations focus on high-impact changes that don't require heavy development work.

Requirements

Google Gemini (PaLM) API account for AI-powered analysis
Publicly accessible landing pages for analysis
N8N instance with proper webhook configuration

Customizing this workflow

CRO analysis can be tailored for specific industries by modifying the AI system prompt - try focusing on e-commerce checkout flows, SaaS trial conversions, or local business lead capture forms.
Add competitive analysis by incorporating multiple URL inputs and comparative recommendations.

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 1 - On form submission

Type / Role: n8n-nodes-base.formTrigger - formTrigger
Config choices: Version 2.2

Block 2 - HTTP Request

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 3 - Markdown

Type / Role: n8n-nodes-base.markdown - markdown
Config choices: Version 1

Block 4 - AI Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 2

Block 5 - Form

Type / Role: n8n-nodes-base.form - form
Config choices: Version 1

Block 6 - Information Extractor

Type / Role: @n8n/n8n-nodes-langchain.informationExtractor - informationExtractor
Config choices: Version 1.2

Block 7 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 8 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 9 - Gemini 2.5 Flash

Type / Role: @n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices: Version 1

Block 10 - Sticky Note3

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

3. Summary Table

Workflow	Landing page analyzing agent
Complexity	intermediate
Nodes	10
Categories	AI Summarization, Multimodal AI
Author	Rakin Jakaria
Published	26 Aug 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/7897/7897.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.

Download workflow JSON Original n8n.io source AI Summarization workflows Multimodal AI workflows

Frequently asked questions

What does Landing page analyzing agent do?

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 AI Summarization, Multimodal AI use case.

Rakin Jakaria

11 workflows

Nodes

n8n-nodes-base.formtrigger n8n-nodes-base.httprequest n8n-nodes-base.markdown @n8n/n8n-nodes-langchain.agent n8n-nodes-base.form @n8n/n8n-nodes-langchain.informationextractor n8n-nodes-base.stickynote @n8n/n8n-nodes-langchain.lmchatgooglegemini

Complexity

intermediate

Published 26 Aug 2025

Likes 0

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Install path: /data/workflows/7897/7897.json

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Landing page analyzing agent

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - On form submission

Block 2 - HTTP Request

Block 3 - Markdown

Block 4 - AI Agent

Block 5 - Form

Block 6 - Information Extractor

Block 7 - Sticky Note

Block 8 - Sticky Note1

Block 9 - Gemini 2.5 Flash

Block 10 - Sticky Note3

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions