World Brand Lab
Insights
Frameworks and points of view on AI search and brand.
The Citation Economy: How AI Decides Who Gets Mentioned
Answer engines do not rank ten blue links—they choose a few names and sources. Understanding that selection logic is the real game behind AEO.
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InsightsWhen Global Brands Fail Local AI Answers
Global equity does not guarantee local shortlists. Diagnose regional prompt gaps with BrandSight globalization, Hub context, and localized BrandAEO sets.
Maya Chen
InsightsWhat Changed in AI Mentions This Quarter
A Lab-style quarterly pattern review for AI search: engine disagreement, citation churn, category SOV shifts, and what brand teams should do next.
Jordan Okonkwo
InsightsOne Search, Many Truths: Why Brand Hub Exists
Brand teams bounce between valuation, scorecards, wiki pages, and AI visibility tabs. Brand Hub collapses that fragmentation into one investigation surface.
Priya Desai
InsightsBrand Value vs. AI Share of Voice
A high brand valuation does not guarantee mentions inside AI answers. Here's how Lab-backed value and answer-engine share of voice diverge—and what to do about it.
Priya Desai
InsightsWikipedia Is Not Optional for AI Answers
Encyclopedic coverage still shapes how answer engines describe brands. Why reference hygiene matters for AEO—and how BrandWiki and Brand Hub help you see the gaps.
Maya Chen
InsightsEngine Disagreement on Category Prompts: A Lab Sample Readout
A methodological sample across locked category prompts: where ChatGPT, Perplexity, and Gemini agree on shortlists—and where framing splits. How brand teams should read disagreement.
Maya Chen
InsightsShare of Voice Is Not Preference
AI share of voice counts inclusion. Preference is about who gets recommended with trust. Separate the metrics—or you will celebrate the wrong wins.
Maya Chen