How to find long-tail keywords, step by step

What long-tail keywords are

A long-tail keyword is a specific search, usually three or more words, such as "invoice template for freelance designers" instead of "invoice template". The name comes from the shape of the search distribution: a few very popular searches at the head, and a long tail of many rare ones.

Each long-tail search brings few visitors. Together they add up to a large share of all searches, and the people behind them know what they want.

Why they suit a new or small site

Broad keywords are dominated by large sites with years of links. A specific search has fewer strong pages competing, so a small site can reach the first page with a focused, useful page.

Intent is also clearer. Someone searching for a detailed question is closer to needing your answer than someone typing one word.

A five-step method

Work through these in order. Each step narrows the list.

1. Collect real questions. Use support emails, sales calls, reviews, forum threads and the People Also Ask box on Google. Write them down in the customer's own words.
2. Turn each question into a seed phrase. "How do I get paid faster as a freelancer?" becomes "get paid faster freelancer".
3. Expand each seed. A keyword tool shows related searches, questions and their estimated monthly volume. Google autocomplete is a free way to see the same idea.
4. Check who ranks. Search the phrase and read the top results. If the first page is all large brands, move on. If you see small sites and forum threads, you have a chance.
5. Pick one main keyword per page and note two or three close variations to cover on it.

What to do about low or zero volume

Keyword tools estimate volume, and they often show zero for very specific searches. A zero does not mean nobody searches it. If the question is real and the intent is clear, a page can still be worth writing. Weigh it against how many such searches you can cover on one useful page.

Common mistakes

• Choosing keywords only by volume and ignoring who already ranks.
• Writing separate thin pages for near-identical phrases.
• Ignoring intent: a buyer's keyword needs a product page, not a blog post.

Run it with your AI agent

Connect your agent to Auditmatic, then paste this prompt. Replace the parts in angle brackets. It reads real data and asks before it spends anything.

Use my Auditmatic project for <your-domain>. Read the project context first. Then:
1. Take these seed phrases: <list 5 seeds from real customer questions>.
2. For each, run research_keywords and keep terms with clear intent and a realistic difficulty.
3. For the 10 best, run get_serp_results and tell me which ones are mostly large brands.
4. Give me a table: keyword, volume, difficulty, who ranks, suggested page, and whether to write it.
Do not save anything until I approve the list.

Without a tool

You can do this by hand with free tools:

• Type each seed into Google and note the autocomplete and People Also Ask suggestions.
• Check Google Search Console under Performance for queries you already get impressions for.
• Read the top 5 results for each phrase and note whether small sites appear.
• Put the result in a spreadsheet: phrase, page, intent, who ranks.

Questions

Keep going

• Search intent: match every keyword to the right page
• Which keywords to track, and how many
• All keyword research strategies