Tagged Keywords: How to Structure Them Properly

How to order, count, and structure tagged keywords for Adobe Stock, Shutterstock, Getty, Dreamstime, and Vecteezy — with the numbers that actually matter.

Tagged keywords are the comma-separated list of terms attached to a photo, vector, or clip's metadata — the field stock agencies actually search against. Getting the count right is only half the job; the structure (which terms come first, which type of term goes where, and how many you use per platform) is what decides whether your file surfaces on page one or page forty. This guide walks through how the major agencies read that structure and how to build a keyword list that holds up across all of them.

What "Tagged Keywords" Actually Means in Stock Metadata

A tagged keyword is any single word or short phrase entered into an asset's keyword field, distinct from the title and description. Most contributor portals let you drop in a whole list at once — Adobe's help page notes you can save time by entering a list of keywords, separated by a comma or semicolon, into one field. But the field isn't a bag of words; agencies read it as an ordered sequence, and some (Getty and iStock in particular) don't treat it as free text at all.

Shutterstock's own documentation splits tagged keywords into three functional types: literal terms describing who, what, and where is physically in the frame; conceptual terms covering the emotions, ideas, and themes the image could illustrate; and stylistic terms describing lighting, angle, and color palette. Including all three types gives you the broadest search coverage, rather than stacking twenty synonyms for the same literal object.

Keyword Order Decides What Buyers Actually See

On Adobe Stock, order is not cosmetic. Adobe's contributor documentation is explicit: place the most important and relevant keywords in the first 10 positions as they have the greatest influence on search ranking. This is why importing keywords from Lightroom is a trap — Lightroom keywords appear in alphabetical order, so be sure to reorder them according to their importance before submitting, or your strongest term ends up buried under whatever starts with the letter A.

Shutterstock works differently. Its search allows more keywords than Adobe with no position weighting beyond the first 10, so while leading with your strongest literal terms still helps, the ranking penalty for imperfect order is smaller than on Adobe. Getty Images and iStock are different again: they do not run on free-text keywords at all — every term is matched against Getty's controlled vocabulary, a fixed, curated list of approved terms, and any keyword that is not on the list does nothing for your file. Each accepted keyword in that vocabulary is also supported with synonyms, which are invisible on the site but linked to the term you added, so a single well-chosen controlled-vocabulary word can quietly cover several buyer search phrases at once. This is also why copying a Getty-style tag list straight into Adobe or Shutterstock rarely performs as well as building the list natively for each platform — you can see the same limitation play out across other multi-platform workflows in our Adobe Stock keyword order guide.

How Many Tagged Keywords Each Agency Actually Wants

Adobe Stock lets you enter up to 49 keywords per file, though its own tutorial suggests a good rule of thumb is to include 15-25 keywords rather than maxing out the field for its own sake. Shutterstock's hard limits are minimum 7, maximum 50 — the low floor means a technically valid but lazy submission with seven vague tags will pass the upload form and still generate almost no visibility.

Getty Images and iStock allow up to 50, but in practice you often need fewer, since each controlled-vocabulary term already expands into synonyms and parent categories on Getty's side. Dreamstime's contributor rules require a minimum of 7 keywords, with submissions carrying fewer automatically rejected, and Dreamstime is notably strict about relevance — its reviewers actually check keywords against the image, and irrelevant tags will get your submission bounced. Vecteezy caps out lower: you can enter a maximum of 30 keywords, and the platform encourages using at least 10 different ones. Freepik and 123RF don't publish a single hard keyword-count rule in the same way, so the safer approach there is to describe everything genuinely visible in the frame rather than aiming for a specific number.

One older but still-cited piece of contributor advice worth keeping in mind: where possible, assign single keywords rather than long multi-word phrases, since single terms match a wider range of buyer search queries than a fixed phrase does. Multi-word phrases still have a place for compound concepts, but they shouldn't make up the bulk of your list.

Common Structuring Mistakes That Cost You Visibility

The most common error is padding the list to hit a number. Shutterstock's contributor blog is direct about this: you may think uploading as many keywords as possible is good because you'll be seen in more places, but by putting irrelevant keywords on your images, you won't be seen by the right customers, and Shutterstock reserves the right to ban contributors who use spam keywords. Adobe applies the same logic from the other direction — don't add irrelevant keywords or your file will be rejected, and repeat offenders may have their accounts blocked.

A second mistake is keyword repetition disguised as thoroughness. Dreamstime explicitly flags this: repeating the same keyword in different forms — run, running, runner, runs — counts as keyword spam rather than added coverage. A third is trademark leakage: Adobe prohibits keywords that include trademarks such as Canon, Porsche, or iPad. And a fourth, specific to Freepik, is tagging with file-format references or negative descriptors — using .eps or .psd as a keyword, or tagging what the image is not (like "no people"), is called out directly as bad metadata in Freepik's own contributor guidance.

Finally, don't forget the title-keyword link. Adobe recommends bringing words from the title into your keywords, using the title you've created as a starting point for your keyword list — a small step that reinforces your leading terms instead of treating title and keywords as separate, disconnected fields.

Building One Structured List That Works Across Every Agency

The practical challenge isn't writing keywords for one platform — it's maintaining a correctly ordered, correctly counted, policy-compliant list across five or ten agencies with different ceilings, different banned-term rules, and different weighting for order. This is the problem Rastock's metadata generator is built around: it generates a single structured keyword set per file, then adapts the order and count automatically for each destination — trimming to Vecteezy's 30-keyword cap, expanding toward Adobe's suggested 15–25, respecting Dreamstime's 7-keyword minimum — instead of forcing you to hand-edit the same list five times. Banned and mandatory keyword rules per agency are applied automatically, with rollback if a batch needs correcting after the fact, and every export includes a free IPTC/CSV file you can inspect or hand-edit before it ever reaches an agency's servers.

It's worth being honest about the limits of this, though. Rastock doesn't map your terms into Getty's controlled vocabulary the way a specialist Getty-only tool might, and no automated tool replaces a human eye for edge cases like editorial context or model-release-sensitive terms. If you only ever submit to one agency and already have a fast personal workflow, a general multi-agency tool is probably more machinery than you need. Where it earns its keep is bulk distribution: keywording and uploading via FTP to 10+ agencies in one pass, with status tracking so you can see what's pending, live, or rejected without logging into ten separate dashboards — details covered on the features page and the pricing page. For more on how agencies penalize over-tagging specifically, see our Shutterstock keyword rejection guide.

Frequently asked questions

What does "tagged keywords" mean for stock photography?

Tagged keywords are the list of terms attached to a photo, vector, or video's metadata — separate from the title and description — that stock agency search engines actually index against. They're usually entered as a comma-separated list and, on most platforms, their order affects how visible the file is in buyer searches.

How many tagged keywords should I use on Adobe Stock?

Adobe Stock allows up to 49 keywords, but its own tutorial suggests 15–25 as a good rule of thumb. The first 10 carry the most search weight, so it matters more which terms lead the list than how close you get to the 49-keyword ceiling.

Does keyword order really affect Shutterstock rankings?

Less than on Adobe. Shutterstock allows 7 to 50 keywords with no position weighting beyond the first 10, so while leading with your strongest literal terms still helps discovery, the platform is more forgiving of order than Adobe Stock is.

Can I use the same keyword list for every agency?

Not directly. Adobe weights the first 10 keywords heavily, Getty and iStock only recognize terms from a controlled vocabulary, Dreamstime requires a minimum of 7 and rejects irrelevant tags on review, and Vecteezy caps out at 30. A shared master list needs to be reordered and trimmed per platform, not copy-pasted as-is.

What happens if I add irrelevant tagged keywords?

Most agencies treat this as a rejection or ranking risk rather than a harmless extra. Adobe states irrelevant keywords can get a file rejected and repeat offenders risk account blocks; Shutterstock reserves the right to ban contributors for spam keywords; Dreamstime's reviewers check keywords against the actual image content.

How do controlled vocabularies affect Getty and iStock tagging?

Getty and iStock don't accept free-text keywords — every term you submit is matched against a fixed, curated vocabulary, and anything not on that list does nothing for your file's visibility. Each accepted term is also linked to invisible synonyms, so choosing the right controlled-vocabulary word can cover more buyer searches than adding several near-duplicate free-text tags.