$ ~/ym8 --define competitor-visibility
Competitor Visibility
definition
Competitor Visibility is the competitive intelligence dimension of AEO. While Share of Model and Citation Rate measure your own brand's AI presence, Competitor Visibility places those metrics in competitive context by tracking the same metrics for your key competitors across the same query set and AI engines.
Measuring Competitor Visibility involves running your query bank through AI engines and analysing not just your own brand mentions but also which competitors appear, how often, in what context, and with what sentiment. This competitive mapping reveals the dynamics of the AI visibility landscape: who dominates specific topic areas, which competitors are gaining or losing ground, and where opportunities exist for your brand to improve its positioning.
Competitor Visibility analysis also reveals competitive strategies. If a competitor suddenly increases their Share of Model, investigating their recent content, structured data changes, or citation-building activities can reveal tactics worth emulating. Conversely, if a competitor's visibility declines, understanding why (poor content quality, blocked AI crawlers, domain authority loss) provides warnings about pitfalls to avoid.
The most actionable Competitor Visibility insights come from query-level analysis: identifying specific queries where competitors appear and you don't. These "visibility gaps" represent targeted opportunities—creating or optimising content for these specific queries is one of the highest-ROI AEO activities.
why_it_matters
AEO doesn't happen in a vacuum. Your brand's AI visibility is relative to competitors—if they optimise and you don't, your Share of Model will decline even without any changes on your part. Competitor Visibility tracking ensures you understand the competitive landscape and can respond proactively to shifts.
examples
- Discovering that a new competitor has 25% SoM in your primary category on ChatGPT, having gained share in the last model update
- Identifying 15 queries where competitors appear and your brand doesn't, creating a targeted content plan
- Tracking competitor Citation Rate on Perplexity to understand their content authority strategy
faq
How many competitors should I track?
Track your 3-5 primary competitors across all AI engines. For more competitive markets, track up to 10. The key is maintaining a manageable set that covers your direct competitive landscape without creating data overload.
How do I respond when a competitor overtakes my AI visibility?
Follow the DDR framework: Detect the shift (which queries, which engines), Diagnose the cause (competitor published new content, improved structured data, built citations), and Resolve by implementing targeted improvements. Focus on the specific query areas where the competitor gained ground.
Related Terms
Share of Model
Share of Model (SoM) measures how frequently a brand is mentioned or recommended by AI engines in response to relevant queries. It is the AI-era equivalent of Share of Voice, quantifying your brand's presence across ChatGPT, Perplexity, Gemini, Claude, and other answer engines.
Query Bank
A Query Bank is a curated collection of search queries used to systematically measure AI engine visibility. It represents the questions your target audience asks AI engines about your product category, used as the basis for calculating Share of Model and other AEO metrics.
Brand Mention Tracking
Brand Mention Tracking in AEO is the process of systematically monitoring when and how AI engines mention your brand in their responses. It goes beyond simple name detection to analyse context, sentiment, accuracy, and competitive positioning of each mention.
Related Engines
Monitor Your AI Visibility
See how your brand appears with the default core pair. Start with ChatGPT and Claude by default. Expand monitoring only when the workflow needs it.