Engine Coverage

Extended definition

Engine Coverage tracks the number and breadth of AI platforms where your brand achieves visibility for strategic topics. This metric recognizes that users distribute their AI usage across multiple engines—ChatGPT for research, Perplexity for detailed answers, Gemini for Google-integrated searches, and Copilot for Microsoft ecosystem queries. Engine Coverage is measured both as raw count (appears on 4 out of 5 major engines) and weighted by each engine's reach and importance to your audience.

Why this matters for AI search visibility

Relying on visibility in just one or two AI engines creates vulnerability and limits reach. Different user segments prefer different AI tools, and each engine has distinct retrieval and ranking logic. Broad Engine Coverage ensures you're visible regardless of which tool your target audience chooses, and provides resilience against algorithm changes on any single platform. For B2B companies, Engine Coverage is particularly important because decision-makers often cross-reference information across multiple AI sources.

Practical examples

• A fintech company appears in ChatGPT and Perplexity answers but is missing from Gemini and Copilot, indicating partial Engine Coverage
• An enterprise software provider achieves 100% Engine Coverage for their core category across all five major AI engines
• A brand's Engine Coverage drops from 5 to 3 engines after a major site restructure, signaling entity recognition problems