How to find low competition keywords: long tail, questions, forums, Search Console and SERP weakness signals, plus how to judge difficulty beyond a score.

In short
low competition keywords are queries where the pages ranking today are weak enough for your site to beat them. You find them in long tail variations, real questions people ask, forums, and the queries where you already appear on page two of Google Search Console. A difficulty score is only a starting point: open the results page and look for weakness signals such as small sites, forum threads, outdated articles or content that misses the intent. Build a list, group close variants, and publish one strong page per intent.
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Targeting low competition keywords is the fastest way for a young or mid-sized site to get its first rankings, visits and customers. Instead of fighting big brands on generic terms, you answer precise questions that nobody covers well yet. This guide explains where to find these keywords, how to judge their real difficulty beyond a number, and how to turn them into a publishing plan.
A low competition keyword is a query where the current top results can realistically be beaten by your site. The definition is relative. A query that is easy for a ten year old site with strong backlinks can be out of reach for a domain launched last month. What matters is the gap between your strength and the strength of the pages already ranking.
Most of these keywords are long tail keywords: longer, more specific queries with modest volume. "Accounting software" is a crowded term; "accounting software for a freelance photographer" is much more open, and the person typing it knows exactly what they want.
The best sources are the ones that show how real people phrase their problems. Combine several of them to build a list quickly.
A keyword difficulty score estimates competition mostly from backlinks, so always confirm it by looking at the results page yourself. Two keywords with the same score can be very different: one dominated by authoritative guides, the other by thin pages that happen to sit on strong domains.
Look at the first ten results and check these weakness signals:
| Signal on the results page | What it means | Opportunity |
|---|---|---|
| Forum threads (Reddit, Quora) in the top 5 | No dedicated page answers the question well | High |
| Articles that are several years old | The topic has not been refreshed | High |
| Small or young sites ranking | Authority is not the main barrier | High |
| Results that answer a different intent | Google lacks a page matching the exact need | Medium to high |
| Short, generic or thin pages | A complete answer can stand out | Medium |
| Only major brands and official sites | Strong trust signals required | Low for a young site |
Also check search intent. If the top results are product pages and you plan a blog post, or the reverse, you will struggle whatever the score says.
Collect broadly, then group variants by intent and rank the groups by value and winnability. A simple method works well:
Do not discard keywords because the volume looks small. Tools often underestimate specific queries, and a good article ranks for many variants at once. The sum of those variants is your real traffic.
The common mistakes come from trusting a single number or chasing keywords nobody needs.
Yes, because people ask AI assistants long, specific questions that look a lot like long tail keywords. When someone asks ChatGPT, Gemini, Perplexity or Claude "which accounting software suits a freelance photographer", the assistants that search the web look for pages answering that precise need. A page built around a specific question, with a direct answer at the top, clear sections and sources, is easier for them to quote.
The same research method works for both: collect real questions, answer each one clearly, and cover the topic in depth. Specific pages that rank on Google often become the sources the AIs rely on.
Low competition keywords give young and mid-sized sites a realistic path to their first rankings. Find them in real questions, forums and your own Search Console, confirm the opportunity by reading the results page, group variants by intent, and publish one strong page per need. Then climb toward harder terms as your authority grows.
Sorank automates this work on autopilot: its keyword research analyses your site and competitors to find winnable keywords, plans them in a calendar, then writes and publishes an optimised article every day while checking whether the AIs cite your brand. See the plans and try it with the 3-day free trial.

A low competition keyword is a search query where the pages currently ranking are weak enough for your site to compete: few strong domains, outdated or thin content, forum threads or results that answer the question poorly. Difficulty is relative: a keyword can be easy for an established site and hard for a new one.
Yes, in most cases. Specific queries often convert better because the intent is precise, and one article usually ranks for dozens of related variants, so the real traffic is higher than the volume shown for a single keyword. They also build topical authority that helps you rank later for harder terms.
Yes. Google autocomplete, the People also ask box, related searches, forums such as Reddit or Quora, and the queries in positions 11 to 30 in your own Google Search Console are free sources. A manual look at the first page of results then tells you whether the competition is really weak.
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