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Articles tagged “AEO”.
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Prompt Sets That Actually Measure AI Visibility
Stop judging AI visibility with one-off chats. Build category, comparison, and best-of prompt sets that produce comparable mention and citation metrics.
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Insights4 minWhen Global Brands Fail Local AI Answers
Global equity does not guarantee local shortlists. Diagnose regional prompt gaps with globalization, Brand Wiki context, and localized AEO Intelligence sets.
Maya Chen
Insights3 minWhat Changed in AI Mentions This Quarter
A quarterly pattern review for AI search: engine disagreement, citation churn, category SOV shifts, and what brand teams should do next.
Jordan Okonkwo
Infrastructure4 minWho Owns Brand Facts Across the Organization?
AI search punishes conflicting public facts. Assign DRIs for names, category nouns, specs, and encyclopedic pages—or AEO programs will keep rediscovering the same errors.
Jordan Okonkwo
Insights4 minBrand Value vs. AI Share of Voice
A high brand valuation does not guarantee mentions inside AI answers. Here's how value and answer-engine share of voice diverge—and what to do about it.
Priya Desai
Infrastructure3 minBuilding an Evidence Repair Backlog
Turn AEO findings into a ranked backlog of URL-level and fact-level repairs—so weekly visibility meetings create work the business respects.
Jordan Okonkwo
Insights5 minWikipedia Is Not Optional for AI Answers
Encyclopedic coverage still shapes how answer engines describe brands. Why reference hygiene matters for AEO—and how Brand Wiki helps you see the gaps.
Maya Chen
Guides4 minHow to Measure Sentiment in AI Answers
AI answer sentiment is not social listening. Measure framing on locked prompts—price, trust, complexity—so AEO Intelligence sentiment becomes an operating metric.
Maya Chen
Guides3 minCompetitive Benchmarks Without Vanity Metrics
How to build fair AI visibility benchmarks: honest peer sets, locked prompts, and metrics that survive a leadership meeting.
Jordan Okonkwo
Guides3 minAuthority Signals Answer Engines Actually Use
Authority in AI answers is less about logos on a pitch deck and more about citeable proof, consistent entities, and sources models can trust under uncertainty.
Maya Chen
Insights4 minEngine Disagreement on Category Prompts: A 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
Insights3 minShare 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
Infrastructure4 minFrom Snapshot to Operating Rhythm
AI visibility snapshots do not change brands. Weekly operating rhythms do. Here's how to turn AEO Intelligence measurement into owners, SLAs, and a source-repair queue.
Jordan Okonkwo
Guides3 minHow to Improve AI Search Visibility for Your Brand
Practical steps to measure and improve how AI assistants like ChatGPT, Perplexity, and Gemini cite and recommend your brand.
Maya Chen
Infrastructure4 minWhy Most AEO Pilots Never Leave the Lab
Teams run a few ChatGPT prompts, screenshot the answers, and call it Answer Engine Optimization. Here is why those pilots stall—and what separates experiments from operating systems.
Jordan Okonkwo
Insights4 minThe 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.
Maya Chen