Coming up with YouTube video ideas sounds easy until you actually have to decide what to make next.
At first, you might have dozens of ideas.
Then you publish a few videos.
After a while, you start asking yourself:
What should I make next?
This is where many creators turn to AI.
You can ask ChatGPT or another AI tool to generate 20, 50, or even 100 YouTube video ideas in seconds.
That's useful.
But there is one problem.
AI can generate ideas that sound good without knowing whether your audience actually cares about them.
That's why I think creators should look at something much closer to the audience before asking AI for more ideas:
YouTube comments.
Your comment section contains real questions, problems, requests, disagreements, and follow-up ideas from people who have already watched content in your niche.
When you combine those comments with AI, you can build a much more practical system for finding YouTube video ideas.
In this guide, I'll show you how to use YouTube comments for content ideas, how to analyze comments with AI, how to find recurring audience questions, and how to turn those questions into videos people actually want to watch.
Why YouTube Comments Can Be a Great Source of Video Ideas
Most creators think of comments as feedback.
Someone says they enjoyed the video.
Someone asks a question.
Someone disagrees.
Someone requests another tutorial.
Then the creator replies and moves on.
But comments can be much more useful than that.
They can become part of your YouTube audience research process.
Think about what happens when someone leaves a meaningful comment.
They have already watched at least some of your content.
Something made them curious, confused, interested, or frustrated enough to write something.
That gives you information that a completely random brainstorming session doesn't provide.
For example, imagine you publish a video about AI tools for YouTube.
You might receive comments like:
“Which one is better for beginners?”
“Can I use this without paying?”
“Does this work for YouTube Shorts?”
“How do you use this for a faceless channel?”
“Can you show the complete process?”
“What about the editing part?”
“Is there a free alternative?”
Each question could become a potential video.
And sometimes the best opportunity isn't a single comment.
It's when you notice the same question appearing again and again.
That's a much stronger signal.
What Makes a YouTube Comment Useful for Content Research?
Not every comment is a potential video idea.
“Great video!”
“First!”
“Thanks!”
Those comments are nice to receive, but they don't necessarily tell you what to create next.
Instead, look for comments containing useful signals.
1. Questions
Questions are probably the easiest signals to identify.
A viewer asks how to do something, why something happens, or which option they should choose.
That question may become a tutorial, comparison, explanation, or troubleshooting video.
2. Problems
Sometimes viewers don't ask a direct question.
Instead, they describe a problem.
For example:
“I tried this but my results still look terrible.”
That's valuable.
The problem itself could become a video.
3. Requests
You may see comments such as:
“Can you make a video about…”
“Please explain…”
“Can you compare…”
“Can you show how to…”
These are direct content requests.
4. Confusion
If several viewers misunderstand the same part of a topic, that's another opportunity.
It could mean your niche needs a simpler explanation.
5. Comparisons
Comments asking “Which is better?” can become comparison videos.
For example:
ChatGPT vs another AI tool
free vs paid tools
Shorts vs long-form
manual editing vs AI editing
6. Follow-up questions
This one is especially useful.
Sometimes your video answers one question but creates another.
That isn't necessarily a problem.
It can actually give you your next video.
How to Find YouTube Video Ideas From Comments
Now let's turn this into a practical process.
You don't need a complicated AI system.
You can start with comments from your own videos and gradually expand your research.
Step 1: Start With Your Own YouTube Comments
If your channel already has comments, start there.
Open YouTube Studio and look through your published comments.
Don't try to read everything at once.
Instead, search for comments containing useful signals.
YouTube Studio provides tools for searching comments by keyword, topic, or meaning, and eligible creators may also see AI-generated comment summaries.
That means you don't necessarily have to manually scroll through every comment.
Look for terms related to:
questions
problems
tutorials
tools
beginners
mistakes
comparisons
requests
“how do I”
“which one”
“why”
“can you”
The goal isn't to collect as many comments as possible.
The goal is to find useful patterns.
Step 2: Look at Comments From Other YouTube Channels
What if your channel is still small?
That's completely fine.
You don't have to wait until you have thousands of comments.
You can study comments under other relevant videos.
Let's say you create content about AI and YouTube.
Search for popular videos about:
AI tools for YouTube
YouTube growth
YouTube SEO
AI video creation
YouTube Shorts
AI editing
YouTube automation
content creation
Then study the comments.
You aren't copying the creator.
You're researching the audience.
Look for questions that people are asking after watching the video.
Sometimes you'll notice something interesting:
The video has thousands of views, but the comments contain dozens of unanswered questions.
That's an opportunity.
The original video may have explained the main topic, but viewers are telling you what they still want to understand.
Step 3: Separate Comments Into Categories
Once you collect useful comments, don't immediately ask AI to generate titles.
First, organize the comments.
I would use categories like these:
| Comment type | Possible content |
|---|---|
| Question | Tutorial |
| Problem | Troubleshooting video |
| Request | Follow-up video |
| Comparison | Comparison video |
| Confusion | Beginner guide |
| Objection | Myth-busting or case study |
| Experience | Case study |
| Repeated question | High-priority topic |
This simple organization can make your research much easier.
For example, imagine you collect 50 comments.
You might discover:
18 questions about beginners
11 questions about pricing
9 questions about AI tools
7 questions about editing
5 questions about Shorts
Now you aren't staring at 50 random comments anymore.
You're looking at audience themes.
Step 4: Use AI to Analyze YouTube Comments
This is where AI becomes particularly useful.
Instead of asking AI:
“Give me 30 YouTube video ideas.”
Give it real audience information.
For example:
Prompt:
“Analyze these YouTube comments and identify recurring questions, problems, requests, comparisons, and frustrations. Group similar comments together. Then identify the topics that appear most frequently. Finally, suggest specific YouTube video ideas based on those recurring audience needs. Do not invent problems that aren't present in the comments.”
This approach is better because the AI is starting with audience evidence.
It isn't simply brainstorming.
You can also ask AI to rank the ideas.
For example:
“Rank these video ideas based on frequency of audience interest, usefulness, clarity of the problem, potential for a detailed video, and relevance to a YouTube creator audience.”
That gives you a starting point for prioritization.
But don't blindly accept the ranking.
You still need to use your judgment.
Step 5: Ask AI to Find Repeated Questions
This is one of my favorite ways to use AI for content research.
Give it a collection of comments and ask:
“Which questions or problems appear repeatedly across these comments? Combine comments that describe the same underlying problem and explain the common theme.”
Now AI can help you identify patterns that might be difficult to see manually.
For example, you might have:
“How do I make Shorts from my long videos?”
“What's the easiest way to cut a long video into Shorts?”
“Can AI automatically find Shorts from a long video?”
They look like three different comments.
But they're really one larger topic:
How to turn long-form YouTube videos into Shorts.
That's a much stronger content opportunity.
Step 6: Turn One Audience Question Into Multiple Video Ideas
One of the biggest advantages of comment research is that a single question can create multiple content angles.
Imagine viewers keep asking:
“How can I use AI to make YouTube videos faster?”
You don't have to create only one video.
You could create:
How to Use AI to Make YouTube Videos Faster
Best AI Tools for Faster YouTube Video Production
How to Build an AI YouTube Workflow
How Much of a YouTube Video Should AI Create?
Common AI YouTube Workflow Mistakes
How to Use AI for YouTube Research
How to Use AI for YouTube Scriptwriting
How to Use AI for YouTube Video Editing
One question can therefore become a content cluster.
This is much more sustainable than trying to invent a completely unrelated topic every time you publish.
“How to Build an AI-Powered YouTube Content Workflow in 2026”
A content cluster can also make it easier to connect related articles and videos together.
Step 7: Combine Comments With Keyword Research
This is where I would take the process one step further.
Comments tell you what people care about.
Keyword research tells you what people are actively searching for.
You want to use both.
For example, suppose you find this repeated comment:
“How can I create YouTube Shorts from long videos?”
Don't immediately publish a video.
First, check the search intent around the topic.
Look at phrases such as:
YouTube Shorts from long videos
how to make Shorts from long videos
turn long video into Shorts
AI tools for YouTube Shorts
create Shorts from long videos with AI
If the audience question and search behavior point in the same direction, you've got a stronger topic.
That's much better than relying on either comments or keywords alone.
Step 8: Look for Content Gaps
Now ask another question:
What is missing from the videos that already exist?
Maybe there are plenty of videos about the topic.
That's not automatically bad.
You don't need a topic that nobody has ever covered.
Instead, look for weaknesses in the existing content.
For example:
Most videos are outdated.
Most explanations are too advanced.
Nobody shows the complete process.
Existing videos focus only on one tool.
Beginners keep asking the same follow-up questions.
The available tutorials are too long or confusing.
People want a real example rather than another explanation.
That is where your opportunity can appear.
“How to Find YouTube Content Gaps With AI in 2026”
A content gap isn't always a missing topic.
Sometimes it's a missing explanation.
Sometimes it's a missing example.
Sometimes it's simply a better way of teaching something people already search for.
Step 9: Use the Audience's Own Language
There's another reason YouTube comments are valuable.
People don't always describe their problems using perfect SEO keywords.
They use normal language.
That's useful.
For example, a keyword tool might tell you:
“AI YouTube content workflow.”
But a real viewer might say:
“How do I stop spending my whole day making one video?”
Those are very different phrases.
The second one tells you more about the actual problem.
You can use that language to improve:
video titles
hooks
introductions
blog headlines
FAQs
thumbnails
YouTube descriptions
Don't copy comments word-for-word just to manipulate search.
Instead, understand the problem behind the words.
Then create a clear answer.
Step 10: Don't Let AI Invent the Entire Strategy
This is important.
AI is extremely good at generating possibilities.
That doesn't mean every possibility is worth publishing.
A comment may be interesting but irrelevant to your audience.
Another question may be too narrow.
Another may require information you don't have.
And another might already have hundreds of excellent answers.
So before choosing a topic, ask:
Does this fit my niche?
If not, ignore it.
Does this solve a real problem?
If yes, keep investigating.
Are people asking similar questions?
Repeated signals are stronger.
Can I explain it better or differently?
If yes, that's promising.
Can I actually produce a useful video?
Don't choose an idea simply because it sounds good.
A Simple AI Prompt for YouTube Comment Research
If you want a reusable workflow, you can use a prompt like this:
“You are a YouTube content research assistant. Analyze the following YouTube comments. Identify recurring questions, problems, requests, frustrations, comparisons, and follow-up topics. Group similar comments together and estimate which themes appear most frequently. Then generate 10 specific YouTube video ideas based only on the audience needs found in the comments. For each idea, provide a working title, the viewer problem it solves, the likely search intent, and why the topic could be useful. Avoid generic ideas that are not supported by the comments.”
Then paste your comments below it.
The more relevant comments you provide, the more useful the analysis can become.
But remember:
AI should organize the evidence. You should make the final decision.
A Weekly YouTube Comment Research Workflow
You don't have to spend hours doing this.
You could create a simple weekly routine.
Monday: Collect
Save useful comments from your own videos and relevant videos in your niche.
Tuesday: Organize
Separate them into questions, problems, requests, comparisons, and other useful categories.
Wednesday: Analyze
Use AI to identify recurring themes.
Thursday: Validate
Check YouTube search suggestions, competing videos, and your existing analytics.
Friday: Choose
Select the topic that best matches your audience and your ability to provide a useful answer.
Weekend: Create
Turn the idea into a script, video, Short, blog post, or another piece of content.
This turns your comment section into an ongoing content research system instead of something you only check after publishing.
How to Get Video Ideas From Other People's Comments
Your own channel isn't the only research source.
Competitor and niche-related videos can also reveal useful audience questions.
Let's say you find a popular video about an AI video generator.
Instead of watching only the video, study the discussion underneath it.
Look for comments such as:
“Does it work on mobile?”
“Is there a free version?”
“Can you compare it with another tool?”
“Why does my output look different?”
“Can you show the complete workflow?”
“Is this good enough for beginners?”
Those comments reveal the questions that remain after someone watches the existing content.
That's valuable.
You can use those questions to create a more focused video.
The goal isn't to copy the original video.
The goal is to answer the next question.
Turn Comments Into a YouTube Content Calendar
Once you have enough ideas, don't publish them randomly.
Build a simple content calendar.
For example:
| Audience signal | Video type | Priority |
|---|---|---|
| Repeated beginner questions | Beginner tutorial | High |
| Tool comparison requests | Comparison | High |
| Repeated technical problem | Troubleshooting | High |
| One-off question | Short/FAQ | Medium |
| General discussion | Community post | Low |
This gives you a simple way to decide what deserves a full video.
Not every comment needs a 10-minute tutorial.
Some questions might be perfect for:
YouTube Shorts
Community posts
blog articles
FAQs
social media posts
follow-up sections in another video
One research session can therefore produce multiple content formats.
Common Mistakes When Using YouTube Comments for Ideas
Mistake 1: Treating Every Comment as Demand
One person asking for something doesn't mean your entire audience wants it.
Look for repeated patterns whenever possible.
Mistake 2: Ignoring Search Intent
A useful comment isn't automatically a searchable topic.
Combine audience feedback with keyword and search research.
Mistake 3: Copying Someone Else's Content
Comments are research material.
They aren't permission to duplicate another creator's video.
Find your own angle.
Mistake 4: Letting AI Make Every Decision
AI can identify patterns, but you understand your channel better.
Use AI to assist your research rather than replacing your judgment.
Mistake 5: Chasing Only Viral Topics
A topic doesn't need to look viral to be valuable.
A highly specific question from the right audience can sometimes be more useful than a broad topic with lots of competition.
YouTube Comments vs. AI Idea Generators
So which method is better?
I don't think it's really a choice.
They serve different purposes.
AI idea generators
Good for:
brainstorming
exploring new angles
getting unstuck
creating variations
finding related topics
YouTube comments
Good for:
real audience questions
specific problems
follow-up requests
objections
audience language
content gaps
Combining both
This is where things become interesting.
You can start with real audience comments.
Then use AI to organize them.
Then use keyword research to validate the topic.
Then look at competing videos.
Then use AI again to develop the selected idea.
That's a much stronger workflow than asking AI to generate random topics from nothing.
How This Can Help With YouTube SEO
Comments aren't a replacement for SEO.
But they can help you understand the language behind the search.
That matters because good YouTube content isn't only about putting a keyword into a title.
It's about matching the viewer's actual problem.
Suppose your keyword is:
“AI YouTube video ideas.”
That's broad.
But your audience may actually be struggling with:
“I don't know what YouTube video to make next.”
That's a much more specific problem.
Once you understand the problem, you can create a title and video that directly addresses it.
This can improve the relevance of your content for both viewers and searchers.
And if the same audience problem appears across comments, searches, and competing videos, you've got a much stronger research signal.
Can AI Analyze YouTube Comments Automatically?
AI can certainly help with comment analysis, but the exact features available to you depend on the platform and account.
YouTube itself has introduced AI-powered tools for organizing and summarizing comment themes. YouTube says comment topics can organize and summarize comments, while YouTube Studio's comment tools can search by meaning and provide AI-generated summaries for eligible videos.
That makes the basic idea even more practical:
You don't always have to treat the comment section as a giant wall of text.
AI can help you identify themes.
Still, AI-generated summaries aren't perfect.
You should always check the original comments before making an important content decision.
The audience's exact wording and context can matter.
A Better Way to Think About YouTube Video Ideas
For me, the biggest lesson is this:
Stop asking only, “What video should I make?”
Ask:
“What is my audience already trying to figure out?”
That's a different question.
And it changes the research process.
Instead of starting with a blank page, you start with evidence.
Instead of asking AI to invent demand, you give AI real audience signals.
Instead of creating random videos, you can build content around actual questions.
And instead of treating comments as the end of a conversation, you can use them as the beginning of your next video.
“5 Best AI Tools for YouTube Video Ideas in 2026”
That doesn't mean every comment will become a successful video.
Nothing can guarantee that.
But it gives you a much more logical starting point.
Final Thoughts
Finding YouTube video ideas doesn't always require another AI tool or another complicated content strategy.
Sometimes the information is already available.
It's sitting underneath the videos you've published.
It's in the questions your viewers ask.
It's in the problems they describe.
It's in the follow-up topics they request.
And it's in the conversations happening under other videos in your niche.
AI can make that research faster by grouping comments, identifying recurring themes, and turning audience questions into possible content angles.
But the strongest workflow is not:
AI → random ideas → publish.
It's:
Audience comments → recurring problems → AI analysis → keyword research → content gap → video idea → useful content.
That small change can make your content research much more focused.
So the next time you're stuck wondering what YouTube video to make, don't immediately ask AI for 50 ideas.
Open your comments first.
Look for the question that keeps appearing.
Look for the problem people still don't understand.
Then ask AI to help you make sense of what you're seeing.
Your next good video idea may already be there.
