Long-tail keyword

What is a long-tail keyword?

A long-tail keyword is a specific search with low volume and a clear need behind it. "Time tracking software" is a broad keyword. "Time tracking software for law firms" and "time tracking software that integrates with Clio" are long-tail versions of it.

The name comes from the shape of a search demand chart. A few broad terms get huge volume at the head, and then a long tail of thousands of specific searches each gets a handful. Chris Anderson made the "long tail" idea popular in a 2004 Wired article about how niche products add up to big markets.

Let's say you sell time tracking software for law firms. "Time tracking software" might get 20,000 searches a month, mostly from freelancers and small agencies who will never buy from you. "Legal billing time tracker" might get 90. But nearly every one of those 90 people works at a law firm and has a budget.

Why long-tail keywords matter for B2B SaaS

B2B buyers search in specific terms because their problems are specific. And most searches are small. According to Ahrefs, almost 93% of keywords in its US database get fewer than 10 searches a month.

That means a B2B SaaS keyword plan built only on big category terms misses most of what buyers type. It also means the keyword tool's volume column can scare you off the searches that bring your best leads.

Here's why I'd build a large part of any niche SaaS content plan on long-tail keywords:

• They show intent: "Applicant tracking system for hourly restaurant hiring" tells you exactly who's searching and what they need. A broad term like "applicant tracking system" could mean anything.
• They're easier to win: Fewer big brands write pages for narrow searches, so the keyword difficulty is often low and a newer site can reach page one in months.
• They add up: One page often ranks for dozens of related long-tail searches. Twenty small searches with 30 visits each can bring more buyers than one big term at position eight.
• They match how people ask AI: Prompts in ChatGPT and Perplexity are long and detailed by nature. A page that answers a specific question is easier for an AI tool to quote.

How to find long-tail keywords

Many long-tail searches show up as zero in keyword tools, so you'll find the best ones in your own data and your buyers' words. Here's my process:

• Start in Google Search Console: Open the Performance report, filter by one page and look at its queries. Searches with high impressions and few clicks, or an average position between 8 and 30, are often long-tail chances you can win with a short, direct answer.
• Add modifiers to your core terms: Take your category and add the words buyers use to narrow it: an industry ("for law firms"), a team size ("for small teams"), an integration ("with Clio"), a region or a job ("for billing partners").
• Use Google's own suggestions: Type your core term into Google and note the autocomplete options and the "People also ask" questions. They're real searches, even when tools show no volume.
• Read Reddit and community threads: Search "site:reddit.com" plus your topic. The way people describe their problem in a thread is often the exact long-tail search they type later.
• Check intent before you write: Google each long-tail term and look at what ranks. If the results are product pages, write a product page. If they're guides, write a guide.

A long-tail keyword example

Here's a hypothetical example for the legal time tracking company above. It starts with one broad term and finds these long-tail searches through Search Console, Google suggestions and Reddit:

None of these would win a volume contest. Together, they cover the exact questions a law firm asks before it books a demo, and most of them are BOFU or close to it. Our post on B2B SEO best practices shows how to mine Search Console for more of them.

How to measure long-tail keywords

Long-tail keywords are hard to track one by one, so measure them by page and by group. Here's what I track:

• Queries per page: In Google Search Console, count how many different queries each page gets impressions for. A good long-tail page often shows up for 50 or more related searches.
• Clicks from non-brand queries: Filter out your brand name and add up clicks across your long-tail pages. That total tells you more than any single ranking.
• Demos per landing page: In GA4 and your CRM, track demos and trials that start on each long-tail page. A page with 150 visits a month and four demos is doing great work.
• New queries over time: Watch for new long-tail searches appearing in Search Console each month. They show you what to write next.

Common long-tail keyword mistakes

• Trusting a zero in the tool: Keyword tools miss many long-tail searches. If Search Console or your sales team shows a question is real, write for it.
• Writing one page per tiny variation: "Law firm time tracking" and "time tracking for law firms" want the same page. Separate pages for each version end up competing with each other.
• Padding short answers: Long-tail searchers want a fast, specific answer. A short page that answers the question in the first paragraph beats a 3,000-word essay.
• Ignoring the head terms forever: Long-tail pages build your traffic and authority early. Once you have them, link them to a main category page you can grow into over time.

Here's a first step you can take today. Open Search Console, filter by your best product page and sort its queries by impressions. Which long, specific searches is it already showing up for?