Almost every guide to long-tail keywords repeats the same statistic: long-tail keywords are 91.8% of all searches. It comes from a real study of real data, and it is quoted wrong nearly every time. Long-tail keywords are 91.8% of all keywords, not 91.8% of all searches. Those same keywords account for 3.3% of actual search volume. That gap is not a footnote. It is the reason a long-tail strategy works the way it does, and the reason most sites run it wrong.
This guide is the accurate version. What a long-tail keyword actually is, and why it has nothing to do with word count. How to tell which ones deserve their own page and which do not. Why they are worth targeting when the honest answer is not “they convert better”. And four ways to find the ones worth your time. The topical authority pillar in this cluster covers how a body of long-tail content compounds into authority over time; this is the keyword-research layer underneath it.
- A long-tail keyword is defined by low search volume, not by word count. A one-word query can be long-tail; a four-word query like “how to tie shoes” is a head term.
- The famous “91.8%” figure is misquoted constantly. Backlinko’s 306-million-keyword study found long-tail keywords are 91.8% of all keywords but only 3.3% of total search volume.
- There are two kinds. Supporting long-tail keywords rank automatically with a broader page and need no page of their own. Topical long-tail keywords have a distinct intent and earn a dedicated page. Telling them apart is the core skill.
- The honest case for long-tail is lower competition and sharper intent, not a guaranteed conversion lift. Whether a query converts well depends on its intent, not its position on the tail.
- Your own Google Search Console data is the best free source of long-tail keywords, because it shows the specific queries you already earn impressions for.
What are long-tail keywords?
A long-tail keyword is a search query with low individual search volume. That is the whole definition. It is not about how many words the query contains, and treating “long” as a word count is the most common mistake in SEO writing on the subject.
The term was not invented for SEO. Chris Anderson introduced “the long tail” in a 2004 Wired article, later expanded into a 2006 book, to describe a shape of demand. Plot anything people buy or search for, ordered from most popular to least, and you get a curve: a short, tall head of a few items with enormous demand, then a long, low tail of countless items, each with very little demand on its own. Anderson was writing about retail, that online shops profit by stocking thousands of niche titles a physical shop never could. SEO borrowed the curve and applied it to search queries.
So a long-tail keyword is one that sits far down that tail. It gets searched rarely. Ahrefs makes the definitional point bluntly, and it is worth taking seriously: there are many one-word keywords that get fewer than 100 monthly searches, and there are keywords five or more words long with hundreds of thousands of monthly searches. Length and volume are different axes. A niche brand name, a single word, can be a long-tail keyword. A short, common phrase can be a head term.
| Query | Words | Approx. monthly searches | Long-tail? |
|---|---|---|---|
| shoes | 1 | ~700,000 | No, head term |
| how to tie shoes | 4 | ~90,000 | No, a four-word head term |
| running shoes for flat feet | 5 | ~5,000 | Borderline, a popular long-tail |
| running shoes for flat feet and overpronation | 7 | ~150 | Yes, a topical long-tail |
Those figures are approximate and only there to illustrate. The row that matters is the second one. “How to tie shoes” is four words long and one of the most searched queries on the web. Word count did not put it in the tail, and adding words to a query does not move it there. Volume decides the tail; nothing else does.
This is also where the headline statistic needs correcting. Backlinko analysed 306 million keywords and found that 91.8% of them are long-tail, using a definition of 1 to 100 searches per month. That number is real. What gets lost in the retelling is the second half of the same study: all those long-tail keywords combined are only 3.3% of total search volume. The top 500 terms alone are 8.4% of volume. So the curve is genuinely lopsided, but in a way most summaries invert. The long tail is almost all of the unique queries and almost none of the raw traffic. A strategy built on it has to account for that, not pretend it away.
How long-tail keywords work: supporting vs topical
Here is the distinction that decides whether a long-tail keyword is worth a page, and it is the most useful idea in this article: not every long-tail keyword needs its own content. Ahrefs splits long-tail keywords into two kinds, and the split is the difference between a focused site and a sprawl of thin pages.
A supporting long-tail keyword is a less popular phrasing of a query you already target. It does not represent a new intent. It is the same search need worded differently, and it ranks automatically with the page that targets the broader version. “Best WordPress SEO plugin” and “best WordPress SEO plugin 2026” are the same intent; one page that genuinely answers the first will pick up the second without a second page existing. Building a separate page for a supporting keyword is wasted effort, and worse, it creates two of your own pages competing for one result, which is keyword cannibalisation.
A topical long-tail keyword represents a genuinely distinct intent. The person wants something specific enough that a broad page cannot satisfy them in passing. “WordPress SEO plugin for WooCommerce” is not just a longer way of saying “WordPress SEO plugin”. It is a narrower question with its own answer, and it earns a dedicated page.
The test for telling them apart takes about a minute, and it is the same evidence search intent reading relies on. Search the long-tail query and look at the top five results. Then ask: are these the same pages that rank for the broader head term? If the results are head-term pages that happen to also catch the long-tail phrase, the keyword is supporting, and your head-term page will catch it too. If the results are pages built specifically around the narrow query, the keyword is topical, and it wants a page of its own. Most keyword tools expose this directly, through a “parent topic” or “also ranks for” field; the manual SERP check is the fallback when you do not have a tool open.
A worked pair makes it concrete. Search “running shoes for flat feet” and the first page is dominated by articles written specifically about shoes for flat feet. That is a topical long-tail keyword: distinct intent, dedicated pages, room for yours. Now search “running shoes for flat feet reviews”. The results are largely the same flat-feet pages, because a good flat-feet article already contains the reviews. That is a supporting keyword. Writing a separate “reviews” page would split your own authority for no gain. Run this test before you create anything, and the question of how many long-tail keywords deserve a page answers itself.
Why are long-tail keywords important for SEO?
The usual answer is that long-tail keywords convert better. The honest answer is more careful, and Ahrefs, whose own data this section leans on, is careful about it too: on whether long-tail keywords convert better, they say plainly that it depends. So here is the case without the myth, in three parts.
They are far easier to rank for. Backlinko’s study found a steady relationship in the data: every time a keyword’s search volume doubles, its keyword difficulty rises by roughly 1.63 points. That compounds. A head term with around 25,000 monthly searches sits about seven doublings above a long-tail term with 200 searches, which works out to roughly 11 points of extra difficulty on Backlinko’s scale. For an established site that gap is an inconvenience. For a new site with little authority it is the difference between a page that can realistically reach page one and a page that cannot.
They carry sharper intent. A specific query tells you exactly what to write. “Running shoes” could be research, comparison or a purchase; “running shoes for flat feet and plantar fasciitis” tells you the reader’s problem, their constraint and roughly where they are in deciding. That precision is what people mean when they say long-tail converts better, and it is worth being exact about the mechanism. Conversion tracks intent, not tail position. “Buy running shoes” is short and converts well because of the word “buy”. “What are running shoes made of” is a long-tail query that converts close to zero. Long-tail keywords tend to carry clearer intent, which is genuinely useful, but the length is a correlation, not the cause. Reading the actual intent behind a query is its own skill, covered in the search intent guide in this cluster.
They compound. No single long-tail keyword will move your traffic; remember the 3.3%. The strategy is breadth. Twenty winnable long-tail pages, each capturing a small, specific query and linking sensibly to the others, build something a single broad page cannot: coverage. That is the mechanism behind topical authority, and the reason this article sits inside a content cluster rather than alone. Each long-tail page is a thread; the internal linking between them is what turns the threads into a fabric Google can read as expertise on a subject.
Do long-tail keywords still matter with AI search?
Yes, and the case has arguably grown stronger. Two things changed with AI Overviews and AI Mode, and both favour long-tail content.
First, broad informational queries increasingly get answered inside the search results. Ask Google “what is a long-tail keyword” and an AI Overview can answer it on the page, with no click to anyone. Head-term informational traffic is leaking into zero-click answers. Long-tail queries resist this, because they are too specific and too varied for a generic summary to satisfy. Google itself supplies a useful number here: about 15% of all searches every day are completely new, never seen before. John Mueller reaffirmed the figure at a recent Search Central Live, noting he had expected AI to push it higher and that it has not. A large, steady share of search is novel, specific phrasing, and no keyword tool has those queries in its database, because they have never been searched.
Second, AI search retrieves content differently. Google’s documentation explains that both AI Overviews and AI Mode may use a query fan-out technique, issuing multiple related searches across subtopics and data sources to build a single response. A broad question gets decomposed into specific sub-questions behind the scenes, and content is pulled in to answer each one. A page built tightly around a topical long-tail query is exactly the shape of thing a fan-out retrieves and cites. Google also describes AI Mode as most useful for queries needing further exploration or complex comparison, which is a fair description of what a long-tail query usually is. Writing precise answers to specific questions was good practice for traditional search. It is now also how you get surfaced in the AI layer above it.
How to find long-tail keywords: four methods
You do not need expensive tools to find long-tail keywords. The four methods below run roughly from highest value to most situational.
1. Mine your Google Search Console data
Your best long-tail keywords are sitting in data you already own. In Search Console, open the Performance report, switch to the Queries tab, and add two filters that turn a long list into a short opportunity list:
- Average position between 8 and 20. These are queries where Google already considers your page relevant enough to show, but not yet on, or barely on, page one.
- Low click-through rate, then sort by impressions. A query with hundreds of impressions and a click-through rate under 2% is one where you appear but the page does not answer the specific query well enough to earn the click.
Every query that survives both filters is a long-tail keyword Google has already tied to your site. When we built TamRank’s Search Console integration, the pattern we saw on real sites was consistent: most sites have dozens of these, four-word and five-word queries with real impressions and almost no clicks. Each one is a decision. Either strengthen the existing page to answer that exact query, or, if the query is a topical long-tail with its own intent, give it a dedicated page. This method beats every keyword tool because it is your data, your rankings, and demand Google has already confirmed.
2. Read Google’s autocomplete and People Also Ask
Type a seed topic into Google and stop. The autocomplete suggestions are real queries, ordered by popularity. The People Also Ask box goes further: expand a question and more appear, and within two minutes you have a dozen genuine long-tail phrasings straight from Google’s own query data. These are not invented keywords. Every suggestion represents demand Google has measured.
3. Filter a keyword tool, then apply the supporting-vs-topical test
Keyword tools such as Ahrefs, Semrush or the free Google Keyword Planner are useful once you filter hard. Start from a seed keyword and set keyword difficulty below 20, and a volume floor of around 50 to 100 so you are not chasing phrases nobody searches. That produces a list of candidates. Now do the part most people skip: run each promising candidate through the supporting-versus-topical test from earlier. Drop the supporting ones. A list of 200 “long-tail keywords” from a tool is not a content plan. The 30 topical ones inside it are.
4. Read the questions people actually ask
Forums, Reddit threads and Quora questions are where the 15% of never-before-seen queries take shape before anyone types them into Google. When someone in r/WordPress writes “I have published 40 posts and still get 12 visitors a day, what am I doing wrong”, that phrasing is a search query in waiting. Tools cannot surface these, because the exact wording has too little volume to register, but the intent behind them is real and recurring. This method is slower and unmeasured, which is exactly why competitors who rely only on tools have not covered it.
A worked example: one head term vs twenty long-tail
Picture a new WordPress site with little domain authority and one quarter of writing effort to spend, enough for roughly twenty articles. Two ways to spend it.
Strategy A, the head term. Pour the effort into ranking for one broad term of around 25,000 monthly searches. On Backlinko’s difficulty relationship, that term carries about 11 points more keyword difficulty than a 200-search long-tail term, and it is being defended by sites with years of authority. The realistic probability that a new site reaches page one for it within a year is close to zero. Expected traffic: close to zero.
Strategy B, twenty topical long-tail articles. Twenty pages, each targeting a topical long-tail keyword of around 200 monthly searches, so 4,000 monthly searches of total addressable demand. Low-difficulty long-tail pages on a new site can realistically reach the top five within a few months. Say they land mid page one on average and capture about 25% of each term’s volume: 50 visits per page, 1,000 visits a month across the twenty. And because they are topically related, they interlink into a cluster that keeps compounding after the quarter ends.
Here is the part worth sitting with. The single head term has more than six times the search volume of the entire twenty-article long-tail set combined, and still returns less traffic. The number that decided the outcome was not search volume. It was capture rate: 0% of a huge number is nothing, 25% of a modest number is real. A long-tail strategy is not a bet that small keywords are secretly big. It is a bet that winnable keywords beat unwinnable ones, and the maths is not close.
Common long-tail keyword mistakes
Building a page for a supporting keyword. The most expensive mistake, because it feels like progress. You find “best WordPress SEO plugin 2026”, see a number next to it, and write a page. Now you have two pages competing for one intent and have manufactured cannibalisation. Always run the supporting-versus-topical test first.
Confusing length with opportunity. A seven-word phrase is not automatically a good target. “Best free minimalist WordPress SEO plugin for tiny food blogs” is long, but if nobody searches it, it is not a long-tail keyword. It is a string. Verify real demand, even if small, before committing an article to it.
Writing thin pages. A long-tail query deserving its own page still deserves a real page. A 400-word answer will not outrank a thorough one just because the keyword is obscure. If the topic cannot sustain a genuine page, it belongs as a section inside a broader one.
Ignoring the keywords you already rank for. Hunting for new long-tail keywords while leaving Search Console unopened is backwards. The queries where you already earn impressions are the fastest wins available, and they cost nothing to find.
How TamRank helps
Most of this work is judgement. Deciding whether a keyword is supporting or topical, or whether a query is worth a page, is not something a plugin should pretend to do for you. What a tool can do is put the right data in front of that judgement.
TamRank connects to Google Search Console and brings the per-page query data into your WordPress dashboard, so the long-tail keywords your site already earns impressions for are visible where you work, not buried in a separate Search Console tab. The basic connection is part of the free plugin. PRO Page Insights goes further, showing the full query list behind each page, which terms are climbing and which are stuck, so the mining method described above takes minutes instead of an export-and-spreadsheet afternoon.
It will not pick your keywords, and it does not dress search volume up as a score that means more than it does. It shows you, clearly, the long-tail demand already attached to your content. You can see how it fits in the features overview or compare the free and PRO plans.
Long-tail keywords FAQ
How many words does a long-tail keyword have?
There is no word count. A long-tail keyword is defined by low search volume, not length. A one-word niche brand name can be long-tail, and a four-word query such as “how to tie shoes” can be a high-volume head term. Judge a keyword by how often it is searched, not by how long it is.
How many long-tail keywords should I target per page?
One topical long-tail keyword per page, as the primary target. The supporting variants of that keyword, the alternative phrasings of the same intent, will rank on the same page automatically without being targeted separately. Creating a page for each variant causes keyword cannibalisation.
When should I use long-tail keywords?
Always, but they matter most for newer or lower-authority sites. Long-tail keywords carry far less competition, so a solid page can reach page one in weeks rather than years. As a site builds authority through a body of long-tail content, it starts ranking for broader terms as a result.
What is the difference between long-tail and short-tail keywords?
Short-tail or head keywords have high search volume and high competition, and usually broad or unclear intent. Long-tail keywords have low individual search volume, far less competition, and more specific intent. On the search-demand curve, head terms are the short, tall front; long-tail keywords are the long, low tail that makes up most of the distinct queries but a small share of total volume.
Do long-tail keywords convert better?
It depends. Long-tail keywords often carry clearer, more specific intent, and clear intent is what drives conversion. But the conversion comes from the intent, not the length. A long-tail informational query like “what is a keyword” converts poorly, while a short query like “buy running shoes” converts well. Long-tail keywords tend to correlate with sharper intent, which is useful, but length alone does not guarantee a higher conversion rate.
The bottom line
A long-tail keyword is a low-volume search query. Not a long one, a low-volume one. Get that straight and most of the confusion around the topic clears, including the misquoted 91.8% figure, which describes a share of keywords and not a share of searches.
The skill that turns the idea into results is the supporting-versus-topical split. Supporting long-tail keywords come free with the broader page that already targets their intent. Topical long-tail keywords have their own intent and earn their own page, and a minute spent reading the SERP tells you which is which. Target the topical ones, write them properly, link them together, and you have the beginning of a content cluster rather than a pile of posts.
Start with the long-tail keywords you already have. Your Search Console data holds the queries Google has already connected to your site, and they are the fastest wins on the board. If you want that data inside WordPress instead of in a separate tab, TamRank brings your Search Console queries into the dashboard, so the long-tail demand attached to each page is something you can see while you write.
Sources
- Backlinko, “We Analyzed 306 Million Keywords. Here’s What We Learned About Google Searches,” on the finding that 91.8% of keywords are long-tail (1 to 100 searches per month) yet only 3.3% of total search volume, and that keyword difficulty rises about 1.63 points each time search volume doubles. backlinko.com.
- Ahrefs, “Long-tail Keywords: What They Are and How to Get Search Traffic From Them,” on defining long-tail by volume rather than word count, the supporting versus topical distinction, and the cautious “it depends” on conversion. ahrefs.com.
- Google Search Central, “AI features and your website,” on the query fan-out technique used by AI Overviews and AI Mode. Google developer documentation.
- Google, the figure that about 15% of daily searches are new and never seen before, reaffirmed by John Mueller at Search Central Live, reported by Search Engine Journal, 2026. searchenginejournal.com.
- Chris Anderson, “The Long Tail,” Wired, October 2004, the origin of the term and the demand-curve concept. wired.com.
