Multi Engine Visibility Index

Extended definition

Multi Engine Visibility Index (MEVI) aggregates visibility performance across ChatGPT, Gemini, Perplexity, Copilot, and Google AI Overviews into a single score. Rather than tracking each engine separately, MEVI reveals consistency: brands with high MEVI appear broadly across platforms, while low MEVI despite high performance on one engine indicates platform-specific strengths that don't generalize. MEVI calculation typically weights engines by user volume and combines citation rates, mention frequency, and positioning. The index identifies whether visibility stems from universal authority or platform-specific optimization.

Why this matters for AI search visibility

As users fragment across multiple AI search platforms, visibility on just one engine leaves you invisible to large audience segments. MEVI reveals whether your visibility strategy is platform-agnostic or over-optimized for specific engines. High MEVI indicates robust authority signals that work across different AI architectures and training data. Low MEVI despite strong single-engine performance suggests vulnerability: if user behavior shifts toward engines where you're weak, visibility collapses. For enterprise brands, MEVI provides the executive summary metric that communicates overall AI search health.

Practical examples

• Brand achieves 87 MEVI score indicating strong, consistent visibility across all major platforms
• Competitor has 92 score on ChatGPT but 31 MEVI overall, revealing dangerous platform dependence
• MEVI tracking shows gradual improvement from 34 to 68 over 12 months as authority signals strengthen across engines