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20 keyword research statistics for 2026

Every number below is sourced and attributed. The theme: search demand is overwhelmingly long-tail, mostly uncountable, and best captured by pages built for topics rather than exact-match phrases.

11 min readUpdated June 2026By the Loudspeaker team

Keyword research is the process of finding the actual words and questions people put into search engines and AI assistants, then deciding which ones are worth building for. It is the oldest discipline in SEO, and also the most misunderstood — because the intuitive move, chasing high-volume head terms, points at the smallest and most crowded slice of real demand.

Most keyword advice is long on opinion and short on evidence. This roundup is the opposite. Twenty statistics, five categories, every figure attributed to the study or dataset behind it. Where the sourcing was thin, the stat was cut.

The short version
  • 94.74% of keywords get 10 or fewer searches a month — the head of the curve is a rounding error.
  • 91.8% of all queries are long-tail, yet they make up only 3.3% of total search volume.
  • The average #1 page also ranks in the top 10 for nearly 1,000 other keywords — research topics, not phrases.
  • 15% of daily Google searches have never been searched before, so no tool can list them.
  • Over 95% of conversational long-tail keywords have no measurable search volume at all.

The long tail is the whole market

1. 94.74% of keywords get 10 or fewer searches a month

Start with the shape of demand. Per Ahrefs, 94.74% of keywords get 10 monthly searches or fewer, while only 0.0008% get more than 100,000. The distribution is not a gentle slope — it is a cliff, and almost everything lives at the bottom of it.

If your keyword research only surfaces terms with comfortable volume, you are researching a fraction of a percent of what people actually search.

2. 2.3 billion keywords have fewer than 10 monthly searches

To make that concrete: Ahrefs' U.S. database contains 2.3 billion keywords with fewer than 10 searches per month — roughly 93% of the entire database. The long tail is not a niche tactic; it is the corpus.

3. Only 17,730 keywords exceed 100,000 monthly searches

At the other extreme, Ahrefs counts just 17,730 U.S. keywords with more than 100,000 monthly searches. Those are the terms everyone fights over, and they represent a vanishingly small share of the demand curve. Competing only there is competing for the least available ground.

4. 91.8% of all queries are long-tail, but just 3.3% of volume

Backlinko's analysis of 306 million keywords found that 91.8% of all search queries are long-tail, yet those long-tail terms account for only 3.3% of total search volume. The tension in that pair of numbers is the entire strategic question in keyword research: most queries, least volume-per-query.

5. The top 500 keywords capture 8.4% of all searches

Concentration cuts the other way at the head. The same Backlinko study found the top 500 keywords account for 8.4% of all searches. A few hundred terms carry an outsized share of raw volume — which is exactly why they are saturated and expensive to win.

6. Five-plus-word keywords get 10× fewer searches than short ones

Length predicts volume almost mechanically. Backlinko found that keywords with five or more words get roughly 10× fewer searches than terms of one to three words. Longer means rarer per phrase — and usually clearer in intent, which is the trade worth making.

Demand you can't put on a spreadsheet

7. 15% of daily Google searches have never been searched before

The number that breaks the spreadsheet: Google has repeatedly confirmed that 15% of the searches it sees each day are brand new — queries it has never encountered, reaffirmed again in 2025 in the context of AI search. No keyword tool can list a query that has never been typed.

8. That is roughly 1.3 billion new queries every single day

At Google's scale of about 8.5 billion searches a day, that 15% works out to on the order of 1.3 billion never-before-seen queries daily. Keyword research that only chases historical volume is, by definition, blind to the fastest-refreshing part of demand.

9. Over 95% of conversational long-tail keywords have no measurable volume

AI assistants have made this sharper. Ahrefs reports that over 95% of conversational long-tail keywords have no measurable search volume, because people phrase spoken and chatbot questions in their own words rather than repeating an identical string. "Zero volume" increasingly means "real demand the tools can't count," not "no demand."

One page, a thousand rankings

10. The average #1 page also ranks for nearly 1,000 other keywords

~1,000Other keywords the average top-ranking page also ranks in the top 10 for, across an Ahrefs study of 3 million searches.

This reframes what a keyword target even is. Across 3 million searches, Ahrefs found the average #1 page also ranks in the top 10 for nearly 1,000 other relevant keywords. You do not rank for a phrase; you rank for a cloud of them around a topic.

11. The median page ranks for ~400 keywords — but rarely for two big ones

The median in that same Ahrefs study is around 400 keywords per top page, with the average pulled up by outliers. Notably, one page ranking for multiple high-volume (10,000+) terms is very rare. The takeaway for research: cluster many related long-tail terms onto one strong page instead of spinning up a thin page per phrase.

How buyers phrase the search

12. 14.1% of searches are phrased as questions

People increasingly search in full sentences. Backlinko found that 14.1% of all searches are phrased as questions. That share is a floor, not a ceiling, as conversational AI trains users to ask rather than to type fragments.

13. "How" is the most common question word, at 8.07%

Among those question queries, Backlinko found "how" leads at 8.07% of question keywords, followed by "what" at 3.4%, then "where," "why," "who," and "which." Mapping content to these question stems is one of the most reliable ways to match real intent.

14. Roughly 80% of voice searches use conversational language

Voice pushes the same direction, harder. Around 80% of voice searches are conversational and phrased in natural language rather than clipped keywords. Voice queries also run far longer than typed ones, which is another engine of the zero-volume long tail.

15. 76% of voice searches include "near me"

Intent often hides in the modifiers. About 76% of voice searches include a "near me" or local qualifier. For any business with a geographic footprint, the modifier is the money — and it is exactly the kind of term head-volume research overlooks.

Intent, tools, and the gap between clicks and reality

16. Commercial-intent keywords drive 72%+ of organic traffic for major retailers

Volume is not value; intent is. Semrush found that commercial-intent keywords drive over 72% of monthly organic traffic to major retail sites. Sorting a keyword list by intent, not just by volume, is what separates traffic from revenue.

17. Google Keyword Planner overestimates volumes 54.28% of the time

Treat tool volumes as directional, not gospel. Ahrefs found Google Keyword Planner overestimates search volumes 54.28% of the time and is only roughly accurate the rest. Building a strategy on a single tool's exact numbers is building on sand.

18. 46.08% of Search Console clicks go to hidden terms

Your own data understates the tail too. Ahrefs found 46.08% of clicks reported in Google Search Console go to hidden terms — queries Google withholds because they are too rare to display. Nearly half of your search demand is literally unnamed in your reports.

19. 61.5% of U.S. desktop searches end without a click

The results page increasingly answers in place. SparkToro data (via Ahrefs) shows 61.5% of U.S. desktop searches and 34.4% of mobile searches end in no click, driven by AI Overviews and featured snippets. Keyword research now has to weigh not just who ranks, but whether ranking earns a visit at all.

20. The median keyword gets just 10 searches a month

To close the loop back to where we started: Backlinko's 306-million-keyword dataset puts the median monthly search volume at just 10. The "typical" keyword is not a busy head term at all — it is a quiet, specific phrase with obvious intent and almost no competition.

The through-line across all twenty: search demand is overwhelmingly long-tail, a large and growing share of it is uncountable, and a single strong page can harvest hundreds of related terms at once. The brands that treat keyword research as topic-and-intent mapping — rather than a hunt for a handful of high-volume phrases — are the ones capturing the demand everyone else's spreadsheet can't even see.

Sources

  1. Ahrefs — 107 SEO Statistics for 2026 (keyword volume distribution, Keyword Planner accuracy, hidden-term clicks, SparkToro no-click data).
  2. Ahrefs — Long-Tail Keywords research (2.3B low-volume keywords, 100k+ term count, zero-volume conversational keywords).
  3. Ahrefs — How many keywords can you rank for with one page? (study of 3M searches).
  4. Backlinko — We Analyzed 306M Keywords (long-tail share, question queries, keyword length, median volume).
  5. Google / Search Engine Journal — 15% of searches are never-before-seen.
  6. Semrush — Types of keywords & commercial-intent traffic share.
  7. DemandSage — Voice Search Statistics 2026 (conversational and "near me" query share).
FAQ

Questions, answered.

Keyword research is finding and prioritizing the actual words and questions people type or speak into search engines and AI assistants, then mapping them to the pages you build. It goes well beyond volume — Backlinko's study of 306M keywords found 91.8% of all queries are long-tail terms that individually get almost no volume.
Yes. Ahrefs data shows 94.74% of keywords get 10 or fewer monthly searches, and Backlinko found 91.8% of queries are long-tail. Individually tiny, they are collectively most of search demand, signal clearer intent, and one well-built page can capture many of them at once.
Often yes. Ahrefs found over 95% of conversational long-tail keywords have no measurable volume because people phrase questions uniquely, and Google reports 15% of daily searches have never been seen before. Zero-volume keywords describe real demand the tools simply can't count yet.
More than most people target. Ahrefs studied 3M searches and found the average #1 page also ranks in the top 10 for nearly 1,000 other relevant keywords, with a median near 400. This is why keyword research should build topic clusters, not one page per exact-match phrase.
Both, and increasingly the latter. Backlinko found 14.1% of typed searches are questions, with "how" the most common at 8.07%, while roughly 80% of voice searches use natural conversational language. Question and conversational phrasing is a growing share of the queries worth researching.

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