Webdesign Comparison & Analyzer Workflow

Step 1: Initiating the Workflow

The process begins with the “Local Upload” node that serves as the entry point for the workflow. While this node is marked as deprecated (indicating it will be replaced in future versions), it currently functions as the starting trigger that sets the entire analysis in motion.

Step 2: Checking Google SERPs

The “Check Google SERPs” node is where the real magic begins. This API-powered component takes several critical inputs:

1. Keyword: The specific search term you want to analyze
2. Location: The geographic region for which you want to see search results
3. Language: The language preference for the search

With these parameters set, the node retrieves the current top search results from Google, extracting crucial information like:

1. Domain names
2. Complete URLs
3. Page titles
4. Meta descriptions

This information provides the foundation for all subsequent analysis, capturing exactly what Google currently considers most relevant for your chosen keyword.

Step 3: URL Extraction via Custom Prompts

Once the SERP data is retrieved, the workflow utilizes a series of “Custom Prompt” nodes (labeled URL 1 through URL 5) to process this information. Each of these nodes is responsible for:

1. Isolating individual URLs from the SERP results
2. Processing these URLs into a format suitable for the next stage of analysis
3. Storing each URL as a separate variable to maintain organization throughout the workflow

These nodes ensure that each top-ranking website can be individually analyzed rather than trying to process all competitors in a single operation, which would reduce the detail and accuracy of the analysis.

Step 4: Visual Capture with Screen Capture Nodes

With the target URLs extracted and processed, the workflow moves to a series of “Screen Capture” nodes (labeled Screen URL 1 through Screen URL 5). Each of these specialized nodes:

1. Takes a high-resolution screenshot of the corresponding website
2. Captures the page at specified dimensions to ensure consistency across all samples
3. Preserves visual elements exactly as they appear to users
4. Stores these captures as image files that can be further analyzed

This visual documentation provides a crucial snapshot of each competitor’s design approach, user interface decisions, and content presentation strategies.

Step 5: In-Depth AI Vision Analysis

The final and perhaps most valuable stage involves two specialized “Vision Analysis” nodes that process the captured screenshots using advanced AI:

1. SEO Analysis Node: Evaluates the screenshots based on SEO best practices, identifying elements like header structure, content organization, keyword placement, and other on-page optimization factors.
2. E-Commerce Elements Analysis Node: Specifically focuses on conversion-oriented features like call-to-action buttons, product placements, checkout processes, and other elements crucial for e-commerce success.

These AI-powered analyses transform visual website captures into structured data points and actionable insights, highlighting both strengths to emulate and weaknesses to avoid in your own website design.