Generative engine optimization is the practice of building source material that a generative answer can quote, so the brand is cited and named inside the generated text itself.
This is the sense CiteAngle uses when it measures. The word travels with other meanings in this market, so we pin ours before it turns up in a report.
Where this lands in the measurement
Citation and mention are separate events even inside one answer, so each keeps its own denominator.
The material that earns them is first-party data, lived expertise, earned sources and originals worth quoting.
What it costs to leave this loose
Publish material nothing can quote and the work leaves no trace in the answer. Output rises, citations do not, and the cause gets blamed on word count.
Citation and mention keep separate denominators, and the address the answer carried is traced back, so the next piece is chosen from evidence.
Who you want measuring this
One reading does not settle a term like this. The answer an assistant writes today can name different companies tomorrow, so a Panorama round puts 50 buyer questions to every place on our US list, 7 separate times each, and reads all 17 of them — ChatGPT · Perplexity · Claude · Gemini · Grok · Google AI Overviews · Google AI Mode · Bing Copilot · DuckDuckGo AI Assist · Google Search · Bing Search · Yahoo Search · DuckDuckGo Search · Google News · Bing News · YouTube · Google Short Videos. Radar starts at 5 questions and covers the same list under the same rule.
We put the same questions to the competitors you name inside the same runs, so you see both in one table. The conditions are sealed, so you can reproduce the round and check it, and every planned observation is published with its state, failures included. When you choose who measures this, check that all three are in place.
That describes how the measuring is done. It is not a promise about where your numbers land.
Pages that use this term
Terms worth pinning at the same time