How to Use AI to Generate Better YouTube Tags
YouTube tags sit behind the scenes, but they still influence how your videos get categorized, which searches you might appear in, and which related videos you are grouped with. The goal is not to stuff every possible keyword into the tag field, but to give YouTube a clear picture of what your video is about and who it is for.
AI tools such as ChatGPT and Claude are very good at expanding a single idea into dozens of related phrases. Instead of manually typing tags one by one, you can use a structured prompt to ask for a balanced mix of broad keywords, long-tail phrases, and niche search terms. That is exactly what this YouTube tags prompt generator helps with.
A simple workflow is to first write or generate your title and description, then use a prompt like the one on this page to create tags that echo the same language. This makes your metadata more consistent and sends stronger signals around your main keyword, supporting both YouTube SEO and suggested videos.
When you give AI more context for your channel, you also get better tags. Mention whether you run a faceless automation channel, an educational channel for beginners, or a high-level documentary-style channel. Include your posting cadence, the niche you serve, and the transformation you promise viewers. All of these details can be reflected in the way tags are generated.
Best ChatGPT Prompts for YouTube Tags and Hashtags
The difference between a weak YouTube tags prompt and a strong one is specificity. Instead of simply asking “give me YouTube tags for my video”, you want to brief AI like a YouTube SEO consultant who understands your niche and audience. That is why the generator above asks for topic, video type, audience, language, and main keyword.
Strong YouTube tag prompts usually include:
- Your primary keyword and a short explanation of the video
- The content format, such as tutorial, review, vlog, or faceless compilation
- Who the video is designed for, including experience level and goals
- The language you want to rank in and any secondary regions that matter
- Explicit instructions about the number of tags, long-tail phrases, and hashtags you want
By combining these elements, you move from vague prompts to clear SEO briefs. That shift alone can result in more relevant tag suggestions and fewer generic ideas that every channel in your niche is already using.
Step-by-Step YouTube Tag Strategy for Beginners
If you are newer to YouTube SEO, it helps to use a simple checklist every time you upload. The exact algorithm will evolve, but the fundamentals of choosing tags remain stable. You want to reflect what the video covers, what viewers search for, and how your content is different from similar videos.
- Start with your main keyword. This usually shows up in your title and first line of the description. Make sure it is also included as one of your tags.
- Add a few broad category tags. These might reference your niche or industry, such as YouTube automation, faceless channels, creator business, productivity, or tech reviews.
- Add long-tail tags that sound like real searches. Short phrases such as “YouTube tags” are very competitive. Longer phrases such as “YouTube tags for faceless channels” or “YouTube SEO tags for shorts” are easier to rank for and more specific.
- Reflect your audience in a few tags. If you make videos for beginner creators, teachers, or solo entrepreneurs, mention that in the tags so YouTube understands who should see the content.
- Use hashtags sparingly. The prompt on this page can also generate hashtags, but you do not need dozens of them. Picking three to ten highly relevant hashtags is usually enough.
Once you have an initial list from AI, scan it manually. Remove anything that feels misleading or only loosely connected to your topic. Add back a few of your own branded phrases or unique vocabulary that AI might not know. Over time, you will build a small library of tags that consistently perform well for your channel.
Examples of High-Converting YouTube Tag Sets
The examples in the section below show how you might brief AI using this tool for faceless channels, productivity channels, and tech review channels. Each example prompts AI to think about the video format, the niche, and the audience, which leads to more nuanced tags and hashtags.
For a faceless YouTube automation channel, you might combine tags around automation tools, YouTube business models, and beginner-friendly faceless content strategies. For a Notion productivity channel, you might emphasize tags that connect productivity systems, content planning, and YouTube growth in one place.
When you analyze your analytics over time, look at which videos keep bringing in views from search and suggested. Study the tags you used on those uploads, save the best performers to a private document, and reuse them where relevant on future videos. AI can then riff on those proven tags and generate more variations that keep working for you.
YouTube SEO Tags vs Titles and Thumbnails
Tags alone cannot rescue a weak title or a confusing thumbnail, but they can reinforce a strong positioning. Think of tags as a supporting layer that helps YouTube connect the dots between your title, thumbnail, description, and viewer behavior.
A practical approach is:
- Use a tool to generate titles that clearly explain the value of the video and include your main keyword.
- Design thumbnails that visually represent the same idea or promise, without repeating the exact title text word for word.
- Use this tags generator to create a tag set that repeats your main keyword, covers closely related concepts, and includes a few long-tail phrases you want to rank for.
When all three elements point in the same direction, YouTube has a much easier time testing your video with the right viewers and learning who is most likely to click and keep watching. That is the real purpose of YouTube SEO tags today.
Using This YouTube Tags Template for Faceless and Shorts Channels
Many creators now run faceless channels, shorts-only channels, or hybrid channels that mix long-form and short-form content. The underlying tagging strategy is similar, but your prompts should mention the specific format so AI can generate tags that reflect that behavior.
For shorts, you might prioritize tags that include words like “shorts”, “vertical video”, and “60 second tutorial”. For faceless channels, you might call out “faceless YouTube channel”, “YouTube automation”, or “voiceover only channel” inside your prompt. These clues help AI suggest tags that match how viewers actually search for those formats.
No matter which kind of channel you run, the same principle applies: give AI a clear brief, generate a structured list of YouTube SEO tags and hashtags, and then edit the output based on your experience and analytics. Over time, you will build a tagging system that feels less like guesswork and more like a repeatable process.