YouTube Content Ideas for Beginners: Competitor Comments

For beginners on YouTube with little or no audience, it’s tough to know what videos to film first. Instead of relying on your own empty comment section or generic brainstorming, you can mine competitor comments for real, validated ideas. Here’s a method to move from raw questions on competitor videos to a specific shortlist of video topics you can actually make.

Why your own channel’s comments aren’t enough (yet)

New YouTube creators are often told to “listen to your audience”, read your comments, poll subscribers, or respond to frequent questions. The problem? If you’ve just launched, you have no real audience, so that well runs dry fast. Guessing at topics leaves you making what everyone else does (“My Desk Setup!”), or, worse, subjects too broad or vague to attract search interest.

But established creators in your niche already draw the audience you want. Their comment sections are an open window into what viewers struggle with or still want to know, all before you’ve uploaded your fifth video.

Picking the right competitors to study

Don’t start with the biggest channels. Mega-creators (two million plus subs) attract too many off-topic reactions and inside jokes, finding real content gaps is like searching for a needle in a haystack.

Instead, look at 3–5 channels with 1,000 to 50,000 subscribers that:

• Publish videos similar in format and focus to what you want to make (e.g., tutorials if you make tutorials).
• Have posted at least once in the last 30 days.
• Are slightly ahead of you (more comments, but still small enough to host real questions).

From each channel, pull two or three recent videos focused on practical topics, not just personality updates. You’re targeting the viewers who actually ask questions and request more detail.

Exporting and filtering their comments

Scrolling through hundreds of YouTube comments by hand is inefficient, and YouTube doesn’t let you filter by question or topic. Use the free YouTube Comment Downloader from Channel X-Ray to export up to 100 of the most recent top-level comments from any video as CSV or JSON. This tool tags each comment by keyword, like question, content_request, or pain_point, so you can skip past quick “Great video!” replies and focus only on audience needs.[^comment-downloader]

To sort and filter these exports:

• Open the CSV in Excel or Google Sheets (see step-by-step guide).
• Filter the Tags column for question and content_request labels.
• Ignore short or untagged comments, these rarely point to real topic opportunities.

There isn’t an industry-wide standard for how many comments you need, but gathering top-level comments from 2–3 uploads each across 3 channels is enough to see real patterns without being overwhelmed.

[^comment-downloader]: The free tool exports about 100 recent top-level comments per video, with each comment classified by demand type. Source: YouTube Comment Downloader tool features.

Turning repeated requests into real video topics

Every single viewer question isn’t an automatic video idea. Many are too specific (“Help! This app crashes on my 8-year-old laptop with Ubuntu 17”) or one-off. Instead:

1. Read all the filtered comments for recurring themes.
2. Group repeated requests or similar questions, even if worded differently, into topic clusters.
3. Ignore the lone outliers. If only one person across all exports asks for something, set it aside for now. Focus on issues that show up more than once, across multiple uploads or channels.

This gives you a manageable shortlist of real, demonstrated needs from your potential audience.

Scoring and ranking your candidate topics

Don’t just blindly film everything that comes up, some clusters might need gear, access, or skills you don’t have yet. For each topic cluster, score on:

• Delivery Feasibility (1–5): Can you film and edit with what you have, within two weeks?
• Differentiated Angle (1–5): Can you answer this better or clearer than existing videos?
• Topic Specificity (1–5): Is the idea focused enough for a single, concise upload (not a giant "ultimate guide")?

Add up the scores, the highest total gets filmed first.

Example: From raw competitor comments to a first video (invented)

Suppose you’re starting a channel about home-office desk setups. You export and filter comments from three similar creators. In the data, a question comes up in 14 comments: “What if you only have a corner of your bedroom?” and “How do you fit two monitors in a tiny apartment?”

Bucket these into a topic cluster: “Small-Apartment Desk Layouts.” Maybe you can film this right away, using your own limited space as proof.

Candidate Topic Cluster	Feasibility	Differentiation	Specificity	Total
Small-Apartment Desk Layouts	5	4	4	13
Custom Cable Routing Woodworking	1	4	3	8
Ergonomic Office Chairs <$200	3	2	4	9

With a strong score and materials on hand, this is the obvious first pick. You can then outline that video with four clear sections or tips, targeting the exact pain points surfaced in the comments.

When to pivot to your own audience

This method is a launchpad, not permanent homework. The moment you hit around 10 uploads and your own comment section starts to show recurring, practical viewer questions, not just tags from friends and family, shift your process. Now you can mine your own audience comments directly for future topics, making your workflow more responsive to your actual community.

Tools and further reading

• YouTube Comment Downloader, export and classify comments, free for one video at a time
• How to Export YouTube Comments to Excel or Google Sheets, spreadsheet setup and filtering step-by-step
• YouTube Comment Search, fast keyword scans across one video
• Audience mining for established channels, what to do when you have your own comment base

No workflow is a guarantee that a video will outperform the rest, but this approach turns random guessing into a process rooted in real audience demand, even before you’ve built a community of your own.