Tools / KWFinder

Find long-tail keywords with low SEO difficulty, analyze competitor keywords, and scope research to local results by country, state, or city.
KWFinder is a keyword research tool from Mangools, built around finding long-tail keywords with low SEO difficulty. You can search by keyword to get ideas or by domain to see what a competitor already ranks for. Every keyword comes with a difficulty score, search volume, and trend data, so you can judge whether a term is worth targeting before you write anything for it.
Keyword ideas come from Google Suggest, which surfaces the phrases people actually type into search. You can save keywords to lists, import them in bulk, and filter by search volume, CPC, PPC, or search intent to narrow a large list down to realistic targets. Local SEO is covered too: research can be scoped to a specific country, state, or city, which matters when rankings differ by location.
KWFinder isn't sold on its own. It's included in Mangools subscription plans alongside other tools — SERP analysis, rank tracking, backlink analysis, and site/SEO metrics — so keyword research sits next to the data you need to act on it.
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KWFinder is included in Mangools subscription plans and isn't sold separately. The public page doesn't list plan prices, so check Mangools' pricing page for current rates.
Yes. Research can be scoped by country, state, or city, which is useful for local SEO where search results vary by geography.
Yes. Each keyword gets a difficulty score alongside search volume and trend data, so you can compare how hard different terms are to rank for.
Yes. Searching by domain shows the keywords that site ranks for, which you can use to find gaps or targets a competitor has already validated.
No. It's part of the Mangools suite and comes bundled with rank tracking, backlink analysis, SERP analysis, and site metrics under a single subscription.
Yes. Bulk import is supported, and you can filter imported keywords by volume, CPC, PPC, or search intent to trim the list down.
KWFinder focuses on keyword discovery and difficulty scoring. These alternatives lean in different directions:
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