GEO Audit Flow - Automated Workflow

Overview

As search evolves from 'blue links' to 'AI responses,' many businesses are becoming invisible. This workflow is a systematic health check designed to see if your website actually appears in the answers generated by AI engines like ChatGPT, Perplexity, and SearchGPT.

How It Works

1. Scrape (Data Acquisition): An automated agent "reads" the target website's source code to extract the robots.txt file, JSON-LD headers, and raw text content.

2. Audit (The 4-Pillar Analysis): The collected data is evaluated by a high-reasoning AI model (like GPT-4o or Claude 3.5 Sonnet) against the four pillars of GEO: technical crawlability, content structure, trust signals, and schema visibility.

3. Report (Strategic Output): The findings are compiled into a visually structured report that assigns a "Visibility Score," identifies specific gaps where the brand is invisible to AI, and provides a step-by-step implementation roadmap for the client.

Use Cases

• Businesses can use the audit to compare their brand's visibility against direct and indirect competitors.

• The workflow serves as a technical "health check" to prevent unintentional invisibility.

• Agencies can use the audit to build long-term authority and trust for their clients.

Setup Requirements

• Input the website URL in the website scraper.

• Run workflow.

• Access report..