Setting Up AI Visibility Monitoring: Complete Walkthrough

Setting up effective AI visibility monitoring requires thoughtful configuration. This guide walks you through the complete setup: defining your brand, creating query lists, adding competitors, configuring alerts, and interpreting your first results. Plan for 2-4 weeks of baseline monitoring before making optimization decisions.

Prerequisites #

Before starting, prepare:

• List of brand names (including variations and common misspellings)
• Key competitor names (5-10 recommended)
• Initial query list (20-50 queries)
• Goals for AI visibility (awareness, lead gen, etc.)

Step 1: Configure Your Brand #

Add your primary brand and variations:

• Primary name: “Your Brand”
• Variations: “YourBrand”, “Your-Brand”
• Common misspellings: If applicable
• Product names: Specific products to track

Step 2: Build Your Query List #

Create queries across categories:

Discovery Queries (40%)

• “Best [category] tools”
• “Top [product type] for [use case]”
• “Recommended [category] software”

Comparison Queries (30%)

• “[Your brand] vs [competitor]”
• “[Competitor] alternatives”
• “Compare [category] options”

Solution Queries (30%)

• “How to [problem you solve]”
• “Best way to [task]”
• “Tools for [workflow]”

Step 3: Add Competitors #

Include:

• Direct competitors: Same market, same solution
• Adjacent competitors: Related solutions
• Emerging players: New entrants gaining traction

Step 4: Select Platforms #

Choose AI platforms to monitor:

• ChatGPT: Largest user base
• Gemini: Google integration
• Claude: Enterprise focus
• Perplexity: Search-focused

Step 5: Configure Alerts #

Set alerts for:

• Mention rate drops >10%
• Position changes
• New competitor appearances
• Sentiment shifts

Establish Your Baseline #

Monitor for 2-4 weeks without making changes to establish:

• Current mention rates across platforms
• Typical position distribution
• Competitor benchmarks
• Response pattern consistency

Related: Custom Prompt Monitoring | AI Visibility Monitor Overview

About the Author

Yue Zhu@Seenos.ai

Product Manager at Seenos.ai. Pioneer in AEO research since 2024, exploring the convergence of SEO and GEO (Generative Engine Optimization). Led multiple AI-powered content optimization projects that achieved 300%+ citation increases in ChatGPT and Perplexity.