{"id":32132,"date":"2026-01-05T03:00:16","date_gmt":"2026-01-05T02:00:16","guid":{"rendered":"7cbb0d34-78bd-4397-b094-ee6ee25fb0bd"},"modified":"2026-01-06T09:15:13","modified_gmt":"2026-01-06T08:15:13","slug":"prompt-search-volume-real-data-or-all-guessed","status":"publish","type":"podcast","link":"https:\/\/www.jaeckert-odaniel.com\/en\/prompt-search-volume-real-data-or-all-guessed\/","title":{"rendered":"Prompt search volume: Real data or all guessed?"},"content":{"rendered":"

Every keyword has a search volume. We know how often a search term is entered into Google. <\/p>\n

But what about prompts? Do we also know what users enter into AI systems? Which terms are used how often? The new AI analysis tools are working on precisely these questions. However, the data situation for prompts is poor – and is being hotly debated in the industry. <\/p>\n

In this podcast episode, Fabian Jaeckert and Benjamin O\u2019Daniel summarize the current situation. The trigger was a tool that shows concrete figures for the first time: Profound displays prompt volume. Concrete figures on individual terms. <\/p>\n

So: How is prompt search volume determined?<\/p>\n<\/div><\/div>

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