Creative agency glossarySEO and Analytics

Keyword Research

Keyword research is the process of finding out what people type into search engines about a subject, how often, and with what intent, so that content and campaigns can be built around real demand.

What is keyword research?

Keyword research is listening to a market through its search box. It starts with a subject, a brand or a product, and ends with a list of the phrases people actually use when they look for it, each with an estimate of how often it is searched, how hard it would be to rank for, and what the searcher wants when they type it. The list is the raw material for everything downstream: which pages to build, what to call them, which questions to answer, where to spend paid search budget.

The surprising part is always the vocabulary. Brands describe themselves in their own language; customers search in theirs, and the two rarely match. Research is where a company learns that nobody searches for its category name and everybody searches for the problem it solves.

Why it matters

Why keyword research matters

Because it replaces assumption with demand. A site built on what the business thinks people want ranks for terms nobody uses; a site built on research ranks for the ones they do. It also sizes the opportunity honestly: a term with ten searches a month is not a strategy, and a term with a hundred thousand is not winnable this year. Knowing both numbers before writing a word is the difference between a content plan and a guess.

It matters beyond search, too. The language people use when they search is the language they use when they think, and a campaign line, a product name or a headline that borrows it lands harder than one invented in a meeting.

In practice

How keyword research works in practice

  1. 01

    Begin with seed terms: the obvious words for the subject, the competitors' names, the problems the product solves. Expand them with a tool (Google Keyword Planner, Ahrefs, Semrush, or the free suggestions in Google's own autocomplete and People Also Ask boxes) into hundreds of related phrases, each with volume and difficulty. Add what Search Console already shows the site ranking for, which is research that costs nothing. Then classify every term by intent: is this person learning, comparing, buying or looking for a specific site?

  2. 02

    The list is then clustered into topics, prioritized by the balance of volume, difficulty and commercial value, and mapped to pages. The output is not a spreadsheet but a plan: these pages, in this order, targeting these clusters, with these titles. The research is revisited every few months, because the words people use move, and so does the competition.

At RIOT

Keyword research at RIOT

This glossary began as keyword research. The terms in it are the questions people ask about creative agencies, production, branding, design and marketing, found by looking at what gets searched rather than at what we would have liked to explain. The entries that earn the most attention get expanded first, which is the same research, run in reverse.

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Watch out

What people get wrong about keyword research

Chasing volume. The biggest terms are the vaguest and the most competitive, and a page that ranks for them often attracts people who wanted something else. The long tail, the thousands of specific phrases with small volumes each, is where most of the useful traffic lives. The other mistake is ignoring intent and treating a research query and a buying query as the same target. The third is doing it once; the list a site was built on five years ago describes a market that no longer exists.

Questions

People also ask

What tools are used for keyword research?

Google Keyword Planner, Ahrefs, Semrush and Moz are the standard paid and free options for volume and difficulty. Google Search Console, autocomplete, People Also Ask and Google Trends are free sources that show what people actually search and how interest moves.

How many keywords should I target?

One primary keyword and a cluster of related terms per page, across as many pages as there are distinct questions worth answering. A small site might work from a few dozen clusters; a large content program might run to thousands.

Is keyword research still relevant with AI search?

Yes. AI overviews and answer engines still draw on the same questions people ask, and understanding that demand is how you decide what to publish. The emphasis has shifted toward answering questions clearly and establishing expertise, which research is the starting point for.

Next to it in the glossary

  1. Keyword DifficultyKeyword difficulty is an estimate, usually scored from 0 to 100, of how hard it would be for a new page to rank on the first page of results for a given search term.
  2. Keyword MappingKeyword mapping is the process of assigning each target keyword or cluster of keywords to one specific page on a site, so every search has a home and no two pages compete for it.
  3. Keyword RankingKeyword ranking is the position a page holds in the search results for a particular term, and tracking it over time is how SEO progress is measured.
  4. Keyword StemmingKeyword stemming is the way search engines reduce words to their root so that a search for one form of a word also matches its plurals, tenses and variations.
  5. Keyword StuffingKeyword stuffing is the practice of loading a page with a search term far more often than natural writing would, in an attempt to rank for it, and search engines have penalized it for years.
  6. KeywordsKeywords are the words and phrases people type into a search engine, and the terms a page is written to be found for.

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RIOT is a creative agency and production studio in New York. Strategy, brand, film, photography, design and the campaigns that carry them, made by one team. A few lines is enough to start: we read every brief the same day.

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