| Keyword | Volume | CPC | Competition | 12-month trend |
|---|
How it works
The Wikipedia Keyword Tool harvests real article-title suggestions from Wikipedia's public OpenSearch API for any seed term you enter. Unlike search-engine suggest endpoints (which return what users TYPE), Wikipedia suggests return matching encyclopedia article titles , what your audience may want to LOOK UP. We then enrich every harvested phrase with monthly Google search volume, CPC, competition, and a 12-month trend via the Keywords Everywhere API.
How the harvest works. The harvester runs in your browser via CORS fetch (calls go from your IP, not ours) and hits en.wikipedia.org/w/api.php?action=opensearch&origin=*. We iterate your seed combined with the alphabet (a-z, 0-9) plus ~70 modifier words spanning questions, comparisons, prepositions, and topical qualifiers. For each prefix Wikipedia returns 0-10 matching article titles ranked by relevance; we collect every unique one. A typical 5-seed harvest produces 200-500+ keywords.
Volume enrichment. As keywords are harvested, batches of 100 are sent to the KE API for Google volume, CPC, competition, and 12-month trend. The volume reflects how often people search for the topic on Google (not how often the Wikipedia article gets viewed). For Wikipedia pageview data specifically, use Wikimedia's free Pageviews Analysis tool.
No country targeting for the harvest. Wikipedia is a global encyclopedia and its OpenSearch endpoint serves the same article-title results regardless of where the request comes from. The Country dropdown only affects volume + CPC lookups (so you can compare Google search demand for a Wikipedia topic across markets). Your last-picked country persists across sessions.
Conservative pacing. The harvest is paced at roughly one request every 1.5 seconds, to be a polite client of Wikipedia's donation-funded infrastructure. A full 5-seed harvest takes ~15 minutes. You can stop early at any time and keep the article titles found so far.
Plan caps. On the Free plan you can run 500 keyword lookups per day across all our keyword tools combined.
What the columns mean
- Keyword
- A real Wikipedia article title matching some prefix of your seed term. Each one corresponds to an actual encyclopedia page with established editorial content , a candidate topic for your own writing. Click the cross-link icon to open the keyword in SERP Checker for a live SERP audit.
- Volume
- Monthly Google search volume averaged over the past 12 months, sourced from Google Keyword Planner via the Keywords Everywhere API. This is Google-search demand for the topic name , not Wikipedia pageview data. For Wikipedia pageviews, use Wikimedia's free Pageviews Analysis tool.
- CPC
- Average cost-per-click that advertisers pay in Google Ads for that keyword, in the country's currency. For informational / encyclopedic topics this is typically low; high CPCs on a Wikipedia-surfaced topic often signal commercial-intent angles worth exploring.
- Competition
- Google Ads' competition score (Low / Medium / High), reflecting advertiser bidding. Loose proxy for SEO difficulty: most Wikipedia topics are dominated organically by the Wikipedia article itself, so you typically need to differentiate with depth, original research, or a different angle.
- 12-Month Trend
- Sparkline of monthly Google search volume over the past year. Useful for spotting topics with rising interest (often correlated with news events, releases, or seasonal demand). Hover any point on the chart for the exact month-over-month value.
Frequently asked questions
What is the Wikipedia Keyword Tool?
It's a free, no-signup keyword-research tool that harvests real autocomplete suggestions from Wikipedia's public OpenSearch API for any seed term you enter, then enriches every harvested phrase with monthly Google search volume, CPC, competition, and a 12-month trend. The suggestions are real Wikipedia article titles , a great source of topic ideas, related concepts, and entity names that your audience may already be researching.
Why use Wikipedia for keyword research?
Wikipedia article titles surface a different shape of keyword than what you'd get from Google or product-site autosuggests. They map to encyclopedic concepts and entities: people, places, events, theories, products, organizations. These are great for informational content, "what is X" articles, primers, definitions, and topical-authority pieces. Wikipedia's suggestion data is also unusually rich for niche topics (academia, history, science) where Google or YouTube suggests run thin.
How does Wikipedia's autosuggest work?
Wikipedia exposes autosuggest via the public OpenSearch API at en.wikipedia.org/w/api.php?action=opensearch. It supports CORS with origin=*, so the harvester runs entirely in your browser (calls go from your IP). Each prefix returns up to 10 matching article titles ranked by Wikipedia's own relevance signals (article views, link counts, etc.). We iterate your seed term combined with a-z, 0-9, and ~70 modifier words.
How is this different from the other keyword tools?
Other keyword tools surface what users TYPE into search engines (verbs, questions, conversational fragments). Wikipedia surfaces what users LOOK UP (entity names, encyclopedic concepts, proper nouns). For a seed like "coffee" you'd see "Coffee bean", "Coffee cup", "Coffee culture", "Coffee preparation", "Coffeehouse" , each a real Wikipedia article corresponding to a researchable concept. Pair this with the Google or YouTube tool for both demand sides: what people search for and what they want to learn about.
Does Wikipedia have country-specific suggestions?
No. Wikipedia is a global encyclopedia and its suggest endpoint serves the same article-title results regardless of the requester's location. The Country dropdown in this tool only affects volume + CPC lookups (so you can see how much Google search traffic a Wikipedia-surfaced topic gets in the US vs the UK vs India, for instance). The harvested keyword list itself is the same across countries.
How do I use these for content marketing?
Wikipedia article titles map to real topics with established demand. After a harvest, sort by Volume desc to find the most-searched concepts in your niche. Each high-volume Wikipedia-surfaced topic is a candidate for: a "What is X" primer post, an "X explained simply" guide, a "Beginner's guide to X" tutorial, or an "X vs Y" comparison if multiple related terms came up. Linking back to the corresponding Wikipedia article in your own content is also a recognized E-E-A-T signal for Google.
Are the volume numbers actual Wikipedia pageviews?
No. The volume column shows Google search volume for the harvested phrase, sourced from Google Keyword Planner via the Keywords Everywhere API. It reflects how often people search for that term on Google, not how often the Wikipedia article gets viewed. For real Wikipedia pageview data, use Wikimedia's free Pageviews Analysis tool. Google volume is still a great signal because if many people Google for a topic, you can probably get search traffic by writing about it.
Why does the harvest take ~15 minutes?
To be a good citizen of Wikipedia's infrastructure we space requests out at ~one every 1.5 seconds. A 5-seed harvest makes about 530 calls (5 seeds x 106 modifiers), which takes ~15 minutes. Wikipedia is a volunteer-run nonprofit and its servers are funded by donations, so being a polite client is the right thing to do. You can leave the tab open; results stream in as they're found, and you can stop early at any time.