Monitor your competitors' share of voice in AI responses and identify content gaps to exploit.
Tags: Competitive Analysis Monitoring Share of Voice Strategy
Competitor AI Visibility Analysis: What to Track
Understanding your competitive landscape in AI-powered search requires a systematic approach to monitoring and analysis. Here’s how to track competitor performance and identify opportunities to improve your own AI visibility.
Setting Up Competitive Monitoring
Identify Your Competitors
Direct Competitors:
Companies offering similar products/services
Brands targeting the same customer segments
Organizations competing for the same keywords
Content Competitors:
Publishers creating content in your topic areas
Thought leaders and experts in your industry
Educational institutions and research organizations
AI Visibility Competitors:
Brands frequently mentioned in AI responses
Sources commonly cited by AI systems
Companies with strong topical authority
Choose Your Tracking Queries
Develop a comprehensive set of queries that represent different aspects of your business:
Develop content that directly challenges competitor dominance
Create comprehensive resources that become go-to references
Build thought leadership in emerging areas
Distribution Strategy
Focus on platforms where competitors have less presence
Build relationships with sources that AI systems trust
Improve your content’s discoverability and accessibility
Enhance your brand’s authoritative signals
Measuring Success
Track the impact of your competitive response strategies:
Changes in your mention frequency and share of voice
Improvements in citation quality and context
Growth in topic coverage breadth
Overall AI visibility improvements
Remember: The goal isn’t just to match competitors, but to identify opportunities to differentiate and excel in areas that matter most to your business objectives.
Regular competitive analysis ensures you stay ahead of changes in the AI visibility landscape and can respond quickly to both threats and opportunities.
Michael Timbs
Founder @ Bourd
Michael Timbs is the founder of Bourd.dev, an Answer Engine Optimization (AEO) platform that helps marketing teams track and improve their visibility across AI-powered search engines. Michael combines technical expertise with practical marketing experience across B2B and B2C industries. Michael specializes in evidence-based, quantitative strategies that measure and optimize AI search performance across ChatGPT, Claude, Perplexity, Gemini, Grok, Meta and other major AI platforms.