How to Choose Your Next YouTube Video Idea

TL;DR

Choose your next YouTube topic by combining recent audience behavior, channel analytics, keyword demand, competitor performance, AI-assisted analysis, and community feedback. Start with YouTube’s Inspiration tab, then validate ideas through vidIQ research or detailed AI prompts grounded in your own data, scripts, and transcripts rather than relying on broad, generic suggestions.

Transcript

So, the moment you hit upload on YouTube, the same question hits every creator. What video do I make next? It's literally one of the biggest struggles on this platform. Constantly having to come up with new ideas that actually perform. Well, here at Think Media, we actually post 5 days a week across two different channels. So, we've had to figure t... Read More

Key Insights

• YouTube’s Inspiration tab is an AI-assisted source of topic ideas, hooks, outlines, alternate titles, related videos, and thumbnail concepts based on subjects the platform believes a channel’s subscribers will enjoy.
• Viewer popularity in the Inspiration tab is based on recent behavior, including videos watched by the channel’s viewers during the last 28 days, which helps creators focus on current audience interests instead of old performance alone.
• The Inspiration tab has availability limitations involving region, language, and channel history. A newer creator who cannot see it may need to continue publishing and allow the channel to become more established.
• vidIQ’s outlier score measures how strongly a video performs relative to the usual performance of its own channel. A 7.8x score, for example, indicates performance of roughly eight times that channel’s average.
• Keyword research is useful for identifying topics with meaningful search volume and manageable competition. vidIQ can display top search terms for a channel, evaluate a chosen phrase, and suggest related keywords with different opportunity scores.
• Competitor monitoring reveals which uploads are working for channels that publish similar content. Creators can compare metrics such as views per hour, total views, publication timing, and outlier scores to identify promising subjects and approaches.
• AI recommendations become more specific when prompts include channel analytics, previous content, subscriber sources, and recent performance. Generic requests based only on a broad niche tend to produce less useful ideas than prompts grounded in actual channel data.
• A custom GPT can function as a channel-specific content strategist when trained with detailed instructions, video analytics, scripts, outlines, and final transcripts. Including both planned and recorded material captures differences between an initial concept and the polished upload.

Questions & Answers

Q: How can I choose my next YouTube video idea?

Choose an idea by combining several evidence sources: topics suggested in YouTube’s Inspiration tab, outlier videos in your niche, promising search keywords, successful competitor uploads, AI analysis of your channel data, and feedback from comments or polls. Using multiple sources helps you move beyond intuition and select topics connected to recent audience behavior and proven performance.

Q: What does the YouTube Inspiration tab provide?

The YouTube Inspiration tab uses an AI assistant to generate topics that the platform believes a channel’s subscribers may enjoy. Selecting an idea can reveal an overview, possible hooks, a full outline, alternate titles, thumbnail concepts, and related videos that performed well. Creators can copy the outline into a document and revise it as a starting point.

Q: Why might the YouTube Inspiration tab be missing?

The Inspiration tab may be unavailable because its rollout has limitations related to region, language, and channel history. The transcript also indicates that a channel needs to have been established for a while. If the feature is absent, the recommended response is to continue creating and publishing content so the channel can develop more history over time.

Q: How do outlier videos help generate YouTube ideas?

Outlier videos reveal uploads that performed far above the normal results of the channels that published them. An outlier score compares an upload with its channel average, so a 7.8x score means roughly eight times the usual performance. Examining views, views per hour, topic, and publication timing can uncover concepts worth adapting for your audience.

Q: How should YouTube creators research keywords with vidIQ?

Creators can examine their channel’s top search terms, enter a specific phrase, and review its overall score, search volume, and competition. They can also inspect related phrases to find more precise opportunities. The transcript recommends looking for positive overall scores, especially combinations with meaningful search activity and relatively low competition, then using suitable keywords in titles, thumbnails, and descriptions.

Q: How can competitor analysis improve YouTube topic selection?

Competitor analysis helps creators see which videos are currently succeeding on channels that serve similar audiences. vidIQ allows users to maintain a custom competitor list and compare performance across periods such as a week or a month. Metrics including views per hour, total views, upload age, and outlier score can highlight subjects and formats attracting unusual attention.

Q: How should I use AI to generate better YouTube ideas?

Use a detailed prompt supported by evidence from your own channel rather than asking for ideas from a broad niche description. Export analytics from a recent 28-day or 90-day period and provide information about previous uploads, viewer response, subscriber sources, and view sources. That context allows tools such as ChatGPT, Claude, or Gemini to recommend ideas aligned with current channel performance.

Q: What information should a custom GPT use for YouTube planning?

A custom GPT can use detailed operating instructions and uploaded resources that reflect the creator’s channel and working style. The example described in the transcript includes analytics for every video the creator produced for Think Media, along with YouTube scripts, initial outlines, and final transcripts. Including final transcripts matters because recorded and polished videos can differ significantly from their original plans.

Summary & Key Takeaways

• YouTube’s Inspiration tab suggests topics based on what a channel’s viewers watched during the last 28 days. Creators can explore an idea’s overview, hooks, outline, alternate titles, related successful videos, and thumbnail concepts, then use those materials as starting points for developing an original video suited to their audience.

• vidIQ supports idea research through daily suggestions, outlier videos, keywords, and competitor monitoring. Outlier scores identify uploads performing above a channel’s usual results, while keyword scores compare search volume and competition. Competitor tracking reveals which topics and formats are currently attracting views on channels serving similar audiences.

• AI produces more relevant recommendations when creators provide specific channel context instead of generic prompts. Exporting analytics from the last 28 or 90 days gives the system evidence about recent viewer response. A custom GPT can also use uploaded analytics, scripts, outlines, and final transcripts to support channel-specific planning and packaging.