How do you measure the strength of your entity across search and AI platforms?

Measuring entity strength means examining what the systems actually return, since recognition is observable in the output rather than in the inputs alone. Several measures combine into a picture. Knowledge Panel presence and accuracy indicate whether Google has resolved the entity confidently and whether the underlying signals are correct. Wikipedia status – whether an article exists where notability supports one, and whether it is accurate – reflects a major authority source. AI response accuracy across ChatGPT, Gemini, Copilot, Perplexity, Claude, Grok, Google AI Overviews, and Google AI Mode shows whether the engines describe the entity correctly, consistently, and confidently, or whether they hedge, conflate, or err. Schema validation confirms the owned-property signals are well-formed. Branded-query search rank shows whether the entity controls its own name. And named-entity recognition in third-party content indicates whether the systems are extracting and attributing the entity from credible sources. We run this as a standard entity assessment, using AIQ™ to measure the AI-engine layer and IMPACT™ for the search layer.