Key Takeaways

  • Long-tail keywords are longer, more specific search phrases (usually three or more words) that have lower search volume but higher intent.
  • They convert better than broad keywords because the searcher is closer to making a decision.
  • They’re easier and cheaper to rank for, which makes them the single highest-leverage SEO play for small marketing teams.
  • AI search engines (ChatGPT, Perplexity, Google AI Overviews) reward content that answers specific, conversational questions, which is exactly what long-tail keywords capture.
  • Tools like Google’s autocomplete, “People also ask,” and free keyword research tools surface dozens of long-tail opportunities in minutes.

 

You can spend months chasing a high-volume keyword like “email marketing” and still end up buried on page seven. Or you can target “best email marketing software for small ecommerce stores” and have a real shot at ranking, getting clicked, and converting the people who land on your page.

That’s the long-tail keyword advantage in a sentence.

Long-tail keywords are the most realistic path to organic traffic that actually moves the needle. They’re easier to rank for, they cost less to win, and they bring in visitors who already know what they want. This refreshed guide walks you through what long-tail keywords are, why they matter more than ever in an AI-driven search world, and exactly how to find and use them.

What is a long-tail keyword?

A long-tail keyword is a search phrase that’s more specific and usually longer than a broad keyword. The name comes from the shape of the search demand curve: a small number of broad keywords drive most of the search volume, and a long “tail” of specific phrases makes up the rest.

A few quick examples to ground this:

Broad keyword Long-tail keyword
Coffee Best cold brew coffee for camping trips
Email marketing How to write an email subject line that gets opened
Running shoes Best running shoes for flat feet under $100
CRM Free CRM for solo real estate agents

The broad keyword pulls in massive search volume but vague intent. Anyone could be typing “coffee.” The long-tail version pulls in fewer searches, but each searcher knows exactly what they want, which makes the traffic worth far more.

Why long-tail keywords convert better

Three things happen with long-tail keywords that don’t happen with broad ones.

The first is intent clarity. Someone searching “running shoes” might be researching, browsing, or just curious. Someone searching “best running shoes for flat feet under $100” is shopping. They’re farther down the funnel and closer to a purchase, which is why long-tail traffic typically converts at two to three times the rate of broad-term traffic.

The second is competition. Broad keywords are contested by every brand in the category, including the giants with massive content teams and budgets. Long-tail keywords are mostly ignored, which means a well-written, helpful page can rank without expensive backlinks or a years-old domain.

The third is the AI search shift. AI engines like ChatGPT, Perplexity, and Google’s AI Overviews surface content that directly answers the user’s question. Long-tail keywords are usually questions or specific phrases, and pages built around them are exactly what AI tools cite. If you want to be the source AI tools recommend, long-tail content is how you get there.

How to find long-tail keywords (free methods)

You don’t need a paid keyword research tool to find long-tail opportunities. Most of what you need is built into the tools you’re already using.

  • Google autocomplete. Start typing a broad keyword in Google and watch the dropdown. Those suggestions are real searches, ordered by frequency. Type “email marketing,” and you’ll get “email marketing for small business,” “email marketing best practices,” “email marketing platform comparison,” and on. Each one is a long-tail candidate.

  • People also ask. Run a Google search and scroll to the “People also ask” box. Each question is a long-tail opportunity, and clicking one expands more questions. This is one of the richest sources of intent-driven keywords available, and it’s right there for free.

  • Related searches. At the bottom of any Google results page, you’ll see “related searches.” These are adjacent long-tail phrases people commonly search after the original query.

  • AnswerThePublic and similar tools. Free tools like AnswerThePublic visualize all the questions, prepositions, and comparisons people search for around a topic. Even one search returns dozens of long-tail ideas.
  • Your own site search and customer questions. What do people type into your site’s search bar? What questions does your customer support team answer most often? These are the exact phrases your future customers are typing into Google.

How to use long-tail keywords once you have them

Finding the keywords is the easy part. The trick is using them well.

Build a page around one primary long-tail keyword. 

Each piece of content should target one specific long-tail phrase. That phrase goes in the title, the URL, the H1, the meta description, and naturally throughout the body. You don’t have to keyword-stuff. One natural mention per few hundred words is plenty.

Cluster related long-tails on the same page. 

A single page can rank for dozens of related long-tail variations. If you target “best email marketing software for small business,” you’ll naturally pick up “email marketing tools for small business,” “small business email marketing platform,” and similar variations without having to write separate pages for each.

Match the content type to the search intent. 

A long-tail like “what is email marketing” wants a definitional explainer. A long-tail like “best email marketing software for ecommerce” wants a comparison. A long-tail query like “how to set up email automation in Benchmark Email” wants a step-by-step guide. Mismatched intent is the most common reason a well-keyworded page still doesn’t rank.

Use long-tails as section headers. 

If you target “email marketing for small business” as your main keyword, use related long-tails as H2s and H3s (“How to choose an email marketing platform for a small business,” “Best practices for small business email campaigns”). This expands your ranking footprint without adding new pages.

Add an FAQ section. 

Long-tail questions belong in FAQ blocks. Each question is a chance to capture a People Also Ask result and an AI citation.

Long-tail keywords for AI search

A quick note on AI search, since it’s changed the game in the past two years.

AI engines pull answers from web pages they cite. The content that gets cited is content that directly answers a specific, conversational question. That description fits long-tail keyword content almost perfectly. The pages that win in AI search are the ones with clear question-and-answer structure, descriptive H2s phrased like questions, and content that’s easy for an AI model to extract a clean answer from.

The takeaway: writing for long-tail keywords now serves both Google rankings and AI citation rates. Two channels, one effort.

Common long-tail keyword mistakes

A few patterns to avoid:

  • Picking long-tails with no search volume. Specificity is good, but a phrase with literally zero searches won’t bring traffic no matter how perfectly you target it. Use a tool to confirm at least some monthly volume.
  • Targeting the same long-tail across multiple pages. This causes keyword cannibalization, where your own pages compete with each other, and neither ranks well. One long-tail per primary page.
  • Forgetting to update old content. Long-tail rankings shift constantly. A page that ranked well two years ago might be slipping. Refresh your top long-tail pages every 12 to 18 months with current information, new examples, and updated keywords.
  • Treating long-tail and broad keywords as separate strategies. They’re not. The best approach is to use long-tail content to build authority on a topic, which then helps you compete for broader head terms over time.

Putting it all together

Long-tail keywords are how small marketing teams compete with much bigger ones. The economics work in your favor: lower competition, higher conversion, faster ranking, better AI visibility. The work is finding the right phrases, building genuinely helpful pages around them, and being patient as the traffic compounds.

Benchmark Email’s blog is built largely on long-tail content for exactly this reason. If you’re starting out and want help turning your content into actual email campaigns that convert, sign up for a free Benchmark account and try it out.

Frequently Asked Questions

What is a long-tail keyword?

A long-tail keyword is a longer, more specific search phrase, usually three or more words, that has lower search volume but more focused intent. Examples include “best email marketing software for small ecommerce stores” or “how to write a welcome email for new subscribers.”

Why are long-tail keywords better than short-tail keywords?

Long-tail keywords are easier to rank for, less competitive, and convert better because the searcher knows exactly what they want. Short-tail keywords drive more traffic but at much lower conversion rates and are dominated by large brands with massive SEO budgets.

How do I find long-tail keywords for free?

Google autocomplete, “People also ask,” related searches at the bottom of Google results, and free tools like AnswerThePublic surface dozens of long-tail opportunities in minutes. Your own customer support questions and site search data are also excellent sources.

How many long-tail keywords should I target per page?

One primary long-tail keyword per page, with three to five closely related variations used as subheadings or in body copy. Going beyond that risks diluting the focus and confusing search engines about what the page is about.

Do long-tail keywords still matter with AI search?

Yes, more than ever. AI search engines like ChatGPT, Perplexity, and Google AI Overviews favor content that directly answers specific, conversational questions, which is exactly what long-tail keyword content does. Pages built around long-tail keywords are the ones AI tools cite most often.

About the Author:

Natalie Slyman | Content Marketing Manager

Content Marketing Manager | Content marketing, inbound funnel, social media, email nurture | Natalie Slyman is an experienced Content Marketing Manager at Benchmark Email with a strong B2B background and a knack for crafting pillar content that boosts SEO and brand authority. She regularly shares actionable insights—from remote-work strategies to AI-powered content workflows—via blog posts and webinars tailored for busy marketers.