How to find low-competition YouTube keywords

TL;DR

Low-competition YouTube keywords are search terms where viewer demand exists but the current videos ranking for them are few, outdated, or poor quality. Finding them involves combining search volume estimation with SERP quality analysis. The sweet spot is long-tail queries with 1,000-20,000 estimated monthly searches and weak existing results. BrightBean’s /content-gaps endpoint automates this discovery by scoring keyword opportunities based on demand-to-supply ratios and existing content quality.

How to find low-competition YouTube keywords

The most common mistake in YouTube keyword research is chasing high-volume terms without evaluating the competition. Ranking for “how to lose weight” with its millions of monthly searches is nearly impossible for a new channel. The path to sustainable growth runs through low-competition keywords where you can realistically claim a top-3 position and accumulate views over time.

To identify long-tail variations of broad topics, start with a broad keyword in your niche and extend it with modifiers. “Guitar tutorial” is brutally competitive, but “guitar tutorial for left-handed beginners” has fewer quality results. Add specificity through audience modifiers (beginners, seniors, kids), format modifiers (without equipment, at home, on a budget), or temporal modifiers (in 2026, in 10 minutes). YouTube’s search suggest is your best free tool for this. Type your seed keyword followed by each letter of the alphabet and record every relevant suggestion.

Analyze the actual search results, not just keyword metrics. A keyword with an estimated 5,000 monthly searches might look low-volume, but if the top results are all from channels under 10,000 subscribers with mediocre production quality, you have an opportunity. Conversely, a 2,000-volume keyword dominated by Mr. Beast and Marques Brownlee is effectively high-competition despite low search volume. Evaluate the top 10 results for each keyword candidate: check channel size, video age, view counts, retention rates, and production quality. The gap between viewer demand and content quality is where your opportunity lives.

Mine emerging and trending topics. New topics inherently have low competition because established creators haven’t covered them yet. Monitor your niche for new product releases, software updates, policy changes, and trending discussions. Google Trends with the YouTube Search filter helps identify rising queries before they become saturated. Community forums like Reddit, niche Discord servers, and comment sections on popular videos reveal questions that viewers are asking but nobody has made a video about yet.

Use the “alphabet soup” technique systematically. Type your seed keyword into YouTube search followed by each letter (a, b, c… z), each number (0-9), and common question words (how, what, why, when, where). This exhaustive approach surfaces long-tail queries that autocomplete suggests because real viewers are searching for them. Filter the results for queries where the existing videos are old, low-quality, or don’t directly address the search intent.

How BrightBean helps

BrightBean’s /content-gaps endpoint combines keyword demand data with competitive SERP analysis to surface low-competition opportunities programmatically. It evaluates the quality and relevance of existing videos for each keyword, giving you a competition score that reflects actual content quality rather than just video count.

POST /content-gaps
{
  "seed_keyword": "sourdough bread",
  "channel_id": "UCxyz123",
  "max_competition": 0.35,
  "min_search_volume": 1000
}

// Response
{
  "opportunities": [
    {
      "keyword": "sourdough bread with einkorn flour",
      "estimated_volume": 3200,
      "competition_score": 0.14,
      "existing_video_count": 4,
      "avg_existing_quality": 0.28,
      "opportunity_score": 94,
      "top_result_views": 12000
    },
    {
      "keyword": "sourdough discard crackers no oil",
      "estimated_volume": 1800,
      "competition_score": 0.22,
      "existing_video_count": 6,
      "avg_existing_quality": 0.41,
      "opportunity_score": 81,
      "top_result_views": 34000
    }
  ],
  "total_scanned": 218
}

Key takeaways

• Low-competition keywords have decent search volume but few quality videos currently ranking for them
• Long-tail keyword variations created by adding audience, format, or temporal modifiers are the richest source of low-competition opportunities
• Always analyze the actual SERP results, since channel authority and content quality matter more than raw video count
• Emerging topics and trending discussions naturally have low competition before established creators respond
• The “alphabet soup” technique with YouTube search suggest systematically uncovers long-tail queries real viewers are searching for

Related questions

• What is YouTube keyword research?
• What is a YouTube content gap analysis?