Turn channel data
לְתוֹך videos that grow.

A different approach to AI prompts for YouTubers.

AI prompts for YouTubers are prewritten and customizable questions that run natural language processing, transcription, and generative AI over your channel’s videos, comments, and supporting files, and return an answer instead of a spreadsheet. Creators and creator teams use them to read audience sentiment, track competitors, prove sponsor deliverables, and decide what to make next, instead of scrolling comment sections by hand.

Why a prompt library alone does not work

Most creators already keep a running list of favorite ChatGPT prompts. The problem is not the prompt, it is what it runs on. Paste a transcript in manually and you get an answer about one video. Comments live somewhere else entirely, checked separately from the words on screen, and neither one remembers last month. By the time a pattern across ten uploads is worth noticing, most creators have moved on to the next upload.

Reading the channel, not just one video

Speak AI treats your channel as one library, not a folder of separate files. Point it at a YouTube link and it imports the video directly, no download and re-upload required. Every upload is transcribed in your language, with 100+ supported, and read on three layers: the words said on camera, the tone and energy of delivery, and what is visible on screen. Sentiment, recurring themes, and sponsor mentions are extracted into structured fields you can query across one video or the whole catalog.

What creators actually ask their channel

Run any of these across a single upload or the entire channel at once, and ask follow-up questions from Claude, ChatGPT, or Cursor directly against your library through the MCP server.

• “What comments came up most this week, and what tone were they in?”
• “Compile every question my viewers asked across the last ten uploads.”
• “Which videos kept viewers watching longest, and what do they have in common?”
• “Show me every comment that mentions a specific competitor channel by name.”
• “Summarize sponsor mentions and ad read timestamps for this month’s uploads.”
• “What did our last collab do for subscriber growth and watch time?”
• “Pull the three moments from this upload worth cutting into Shorts.”
• “What questions from the comments never got answered on camera?”

From scattered notes to a repeatable review

The result is a Sunday-night review that takes ten minutes instead of two hours. Sentiment and themes across ten, fifty, or five hundred uploads become a dashboard you can customize and white-label instead of a scroll session, tracking retention, comment tone, and sponsor performance over time. One respected media brand put its video library through this workflow and transformed 500 hours of conference video into high-performing content, without adding headcount.

Running a prompt on one video rather than a whole channel? See the best prompts for YouTube videos. This page is built for the channel-wide view instead.