You want the list. The keywords buyers type into Shutterstock most often, ranked, so you can put the top ones on your next upload and stop guessing.
That list does not exist. No ranked list of Shutterstock’s most searched keywords appears in any Shutterstock documentation you can reach today. The closest the company ever came was a beta tool in 2011, and it has been gone for years.
Which means any article promising you “the top 50 Shutterstock keywords for 2026” either invented the numbers or copied someone who did. Ask where the data came from and the trail stops.
I went looking properly because this is the most-searched question that reaches this site: in the 90 days to 7 August 2026, Google Search Console logged at least 717 impressions for “most searched keywords shutterstock” here, and zero clicks. Nobody was being served, including by us.
Here is every source that does exist, what each one actually measures, and what to do instead.
Short version: Shutterstock publishes which keywords are rising, never which are searched most. The four things it does publish are The Shot List, Trending Keywords, Content Briefs and the Annual Creative Trends report, all editorial and none of them numeric. Use them to decide what to shoot. Use its documented 7-to-50 keyword range and a description written as a sentence to decide what to type.
Shutterstock does not publish its most searched keywords
No. It does not exist.
As of August 2026 no ranked list of most-searched keywords appears anywhere in Shutterstock’s contributor documentation. What it does publish is which keywords are rising fastest. Its Creative Insights: Trending Keywords page highlights keywords that “have had the highest increase in search frequency, as well as the ones to watch for based on historical or seasonal trends.” That is trend direction. No volumes, no ranking, no totals. Four resources exist, all listed on Shutterstock’s what customers are looking for page. The Shot List is a monthly guide of what to shoot based on customer demand. Trending Keywords is the monthly rising list. Then there are Content Briefs and the Annual Creative Trends report. All four are editorial selections curated by internal teams from search data, rather than the search data itself. So you can learn what is rising, and what Shutterstock wants shot next quarter. You cannot learn which keywords carry the most search volume. That number goes to nobody outside the company.
Rising and biggest are different questions with different answers, and the gap between them is where most keywording advice goes wrong.
The tool everyone links to launched in 2011
Search this topic for ten minutes and you will hit references to the Shutterstock Keyword Trends Tool: enter up to five search terms, see a graph of their search volume over the last year. Exactly what you want.
I tracked down the announcement. The Shutterstock Keyword Trends Tool was announced on 12 July 2011. It lived at submit.shutterstock.com/darkroom/keyword_trends.mhtml, inside a section Shutterstock called “a page of new features we are testing.” Contributors could enter up to five search terms. The tool drew a graph of those words’ search volume over the preceding year. On logging in you also got suggestions from your own portfolio: the words you used most often, and the words in your collection that customers looked for most frequently. That is genuinely the feature people are still hunting for fifteen years later. It was a test-page beta. The URL no longer resolves. As of August 2026 it appears in none of Shutterstock’s current contributor documentation. The original announcement even warned about its own accuracy: “in cases of keywords with low popularity, the data may look uneven or odd, due to errors introduced by data sampling.”
So if a 2026 article still recommends this tool as something you can use, it is worth asking when its author last checked. The links throughout this piece are here so you can apply the same question to us.
Four resources exist, all editorial, none numeric
Four things, all editorial, none numeric:
| Resource | What it is | Cadence |
|---|---|---|
| The Shot List | ”a monthly guide of what to shoot based on customer demand” | monthly |
| Trending Keywords | keywords with “the highest increase in search frequency” | monthly |
| Content Briefs | direction for what to create | ongoing |
| Annual Creative Trends | the yearly trend report | yearly |
The derivation matters more than the list. Shutterstock builds these from two inputs: Seasonal Trends, taken from searches during the comparable months a year earlier, and Recent Trends, taken from the prior month’s search activity. Those feed briefs “published based on expertise of internal contributor and research teams.”
Read that again. A human team curates the output. You are reading an editorial selection informed by search data, not the search data.
”Trending” and “most searched” are not the same number
This is the part that costs contributors money.
A keyword that triples from a tiny base has a spectacular increase in search frequency, and it belongs on a trending list. It can still be worth almost nothing to you, because a handful of extra searches spread across a library of that size is not a market.
Meanwhile the boring evergreen terms carry real volume, grow slowly, and never trend anywhere. Shutterstock publishes no figure for either case, so nobody can tell you the crossover point. I cannot either.
Shutterstock’s monthly list is built to tell you where to point a camera next quarter, and it is not built to tell you which keywords carry volume today. Treating a rising-keywords list as a volume ranking is the most common mistake in stock keywording advice. The result is predictable. You end up with a portfolio of virtual conference and digital transformation shots, competing against every other contributor who read the same page that month. The list measures change, not size. A term can lead it and still be a market too small to earn from. Another can carry huge steady volume and never appear on it. Shutterstock releases no volume figures alongside the trend direction. So there is no public way to tell which case you are looking at. That judgement stays with you. The honest inputs are your own sales history and the subjects you can shoot well.
For the record, the Summer 2025 list named:
STEM education,Inclusive education,Digital learningskincare,cosmetics,dermatologyartificial intelligence,digital transformation,virtual conference
Useful as a shoot brief. Useless as a volume ranking.
The arithmetic is the whole problem. A keyword that triples from a tiny base posts a huge percentage gain and leads any trending list, while a keyword carrying large steady volume moves a few percent and appears on none. Percentages describe motion. Only absolute volume describes a market, and absolute volume is the number nobody outside Shutterstock has.
That asymmetry is also why trending lists are self-defeating. Every contributor reading the same monthly page points at the same subject in the same month, so the supply of virtual conference images spikes precisely when the list says demand is rising. Rising demand met by faster-rising supply leaves you worse off than before you read it.
How to read the Shot List without wrecking your portfolio
Three rules make it useful rather than misleading.
Treat it as a calendar, not a keyword source. Its value is lead time. Shutterstock builds it partly from searches during comparable months a year earlier, which is a genuine forecast of seasonal demand, and it gives you weeks to schedule a shoot before buyers start looking.
Shoot the subject, keyword the photograph. If the brief says inclusive education and you photograph a mixed-age group in a classroom, the keywords are still classroom, students, teacher, desk, laptop, group. The brief chooses what you point the camera at. It does not choose your metadata.
Skip anything you cannot shoot credibly. A brief naming dermatology is worth nothing if your access is a phone camera and a friend’s kitchen. A brief tells you what is wanted, never whether you can deliver it to the standard review applies.
Top selling images are a separate question, with the same answer
People asking for most-searched keywords usually also want the sibling list: the top selling images on Shutterstock. What actually sells, not just what gets typed into the box.
Shutterstock does not publish that either. There is no public ranking of best-selling assets, no per-image sales count, and no leaderboard. Contributors see their own downloads in their own dashboard and nothing about anyone else’s. The Shot List is once again the closest proxy, because a brief is Shutterstock telling you what it expects to sell, but it is a forecast of demand rather than a record of sales.
Two things you can actually observe. Your own portfolio’s download history tells you what sells for you, which is the only sales data anyone hands you. And the composition of the search results for a term you care about tells you what has already been supplied, which is the saturation half of the equation the trending lists never mention.
We went deeper into what can and cannot be known about best sellers in best selling stock photos.
Adobe Stock does not publish one either
Worth answering, because contributors clearly hold the two platforms side by side. Across the same 90-day window to 7 August 2026, shutterstock vs adobe stock and its two close variants drew at least 828 impressions on this site between them, and every one of those searches ended in zero clicks.
The short version: neither platform publishes a most-searched ranking, so the comparison people want cannot be made from public data on either side. Both publish trend and seasonal material aimed at helping you decide what to create next. Anyone presenting you a side-by-side table of “top keywords” per platform is comparing two invented lists.
What does differ is the metadata rules you are working inside, and those are documented, checkable, and where your effort actually pays. I covered that split in the Shutterstock metadata guide.
The “monthly” trending page is 13 months out of date
I would rather say this than have you find it yourself.
First, the Trending Keywords page states it updates every month. When I read it on 10 August 2026, it carried a date of 18 July 2025 and covered Summer 2025. That is roughly thirteen months on a page that claims a monthly cadence. Check the live date before you plan a quarter around it.
Second, shutterstock.com refused my automated requests with a 403 while I was researching this, so everything above comes from the contributor help subdomain, which did respond. I have not personally loaded the public trends pages during this write-up. If you have a contributor login, your view may be better than mine.
1,620 contributor searches: what people actually ask
I cannot show you Shutterstock’s search data. I can show you contributor search data, because this site collects it.
Source for everything below, as of 7 August 2026: this site’s own Google Search Console property, pulled via the Search Console API for the 90-day window 10 May to 7 August 2026. Over that window it recorded 1,620 distinct queries reaching autokeyworder.com, and 145 of them contained “shutterstock”, drawing at least 2,980 impressions and 10 clicks.
Sorted by theme across all 1,620 queries in that same 90-day pull:
| Theme | Queries | Impressions |
|---|---|---|
| How keywording works | 196 | 4,044 |
| What sells | 248 | 3,190 |
| Earnings | 268 | 2,219 |
| Rejections | 12 | 97 |
| Hard limits | 10 | 18 |
One caveat applies to every number in that table. Google withholds a large share of query data, and on this property it is severe. I measured it on our own data: comparing the query dimension against the page dimension of that same 7 August 2026 Search Console pull gives a withhold rate of 83.8% of clicks and 80.1% of impressions, as of 7 August 2026. So read each figure as “at least this many”, never as a total.
Two limits before anyone reads a conclusion into that table. It measures queries that reached this site, so it reflects what our existing articles rank for at least as much as what contributors search; a topic we have never covered cannot appear. And counting those five themes against the same 7 August 2026 pull, they account for 734 of the 1,620 queries; the remaining 886 are spread across terms that fit no bucket cleanly. The two smallest rows are also the least trustworthy, because Google withholds the long tail preferentially, which is exactly where rare queries about rejections and limits would sit.
With those caveats, one thing is still worth saying: rejections and metadata rules are knowable, documented and fixable today, while what sells next quarter is a forecast nobody publishes. Effort spent on the first pays more reliably than effort spent guessing at the second.
Describe the image, and stay inside 7 to 50 keywords
Here is the method I would defend, and the reasoning behind each part. Where it rests on Shutterstock’s documentation I have linked the page, so you can check it rather than take my word.
Describe the image, not the market. A woman drinking coffee at a laptop in a kitchen? That is what goes in: woman, coffee, laptop, kitchen, morning, working from home. Not entrepreneurship, hustle or digital nomad lifestyle because those words felt commercially aggressive. A reviewer checks your keywords against the frame, and aspirational keywording fails that check while doing nothing for discovery.
Stay inside 7 to 50 keywords. That range is Shutterstock’s own, from its description and keyword best practices page. A working habit of roughly 25 to 40 covers most images without strain. Shutterstock documents the 7 to 50 boundary and nothing about how count affects ranking, so treat any claim of an optimal number, this one included, as habit rather than evidence.
Write the description as a sentence. Shutterstock asks for metadata that reads “like a sentence or phrase and not like a list of words”. It suggests a news headline that answers who, what, when, where and why. Most contributors paste their keyword list into the description field instead, then wonder why nothing ranks.
What that looks like on three ordinary images
Since you came here for a list, here is the closest honest thing: what the describe-the-frame method actually produces. These are keyword sets built from what is visible, not claims about Shutterstock’s search volume.
| If the image is | Keywords that describe it |
|---|---|
| Woman at a laptop in a kitchen, morning light | woman, laptop, kitchen, coffee, morning, working from home, remote work, casual, indoors, natural light, adult, caucasian, table, mug, typing |
| Two people shaking hands across a desk | handshake, business, meeting, office, desk, agreement, two people, professional, formal, greeting, indoors, corporate, partnership, hands |
| Empty hiking trail through pine forest | trail, forest, pine, path, hiking, trees, nature, outdoors, woodland, green, no people, landscape, scenic, tranquil, daylight |
Each sits in the 7 to 50 range, describes only what a buyer could see, and needs no trending list to build. That is the part you control.
Use the Shot List for what it is. It is a shooting brief. It belongs in shoot planning and nowhere near the keyword field of an image you have already taken.
Applying that consistently across a batch is the tedious part, and it is what AutoKeyWorder automates: it reads the image and generates the title, description and keyword set inside Shutterstock’s documented 7 to 50 range, so image 60 gets the same treatment as image 1. Full disclosure: this is our product and you are reading this on our site.
Four things to ignore
- Any ranked list of “top Shutterstock keywords”. The data behind it does not exist publicly. Ask where the numbers came from and the trail stops.
- The Keyword Trends Tool. 2011, testing sandbox, gone.
- Confident claims about order, count or dilution. Shutterstock’s keyword best practices page documents a 7 to 50 range and says nothing about keyword order, and nothing about how count affects ranking weight. Anyone telling you the optimal number, including anything above about a 25 to 40 habit, is working from feel rather than published evidence.
- Volume claims sourced to a screenshot. A screenshot of a number is not a source for the number.
If you want related reading that is actually current: what stock photo keywords are and how they work, the Shutterstock keyword tools I tested, and Shutterstock metadata rules in detail.
The honest summary is short. Nobody outside Shutterstock knows its most searched keywords. You can know what rises, what the platform asks you to shoot, and what its own metadata rules require. Those three are enough to keyword well, and they have the advantage of being true.