SEO Analysisscout

Keyword Extractor

What it does

You paste the text, and the AI pulls out the most important keywords and phrases. You get them sorted as primary, secondary and semantically related terms.

You don't know which keywords your text actually focuses on

Writing content without going through the keywords systematically makes it easy to lose focus. You think the article is about one topic, but the text points elsewhere. Or you have written something good without any overview of which terms it actually covers — and therefore none of which are missing.

• Unclear which keywords the text is actually written around
• Manually reviewing your own text is slow, and you read past your own writing
• A competitor's text is rarely read systematically with keywords in mind
• Semantically related terms and variations get overlooked while writing

Get the keywords out of the text in seconds

Keyword Extractor reads the text you paste and pulls out the terms it is built around — primary, secondary and semantically related. You get an overview of what the text actually covers, an assessment of what is missing, and suggestions for strengthening the semantic coverage.

• Extraction of primary, secondary and semantically related keywords
• Prominent terms: which words the text actually builds on
• Comparison with a competitor's text if you paste that in as well
• Suggestions for missing terms that naturally belong to the topic

Features

• Keyword classification: primary, secondary, semantically related and long-tail
• Balance assessment: whether a keyword looks overused or barely touched in the text
• Gap assessment against a competitor's text when you paste it alongside your own
• Structured keyword list you can carry into your content plan

How it works

1. Paste the text you want keywords pulled from
2. The AI reads the content and extracts the terms with classification
3. Use the suggestions to strengthen the text with the terms that are missing

Use cases

• Content creators wanting to check that an article covers the relevant terms
• SEO teams reading a competitor's text with keyword strategy in mind
• Agencies needing a quick pass over a client's existing texts

Why use Keyword Extractor?

Keyword work usually only happens when new content is being planned. Keyword Extractor lets you do the opposite: read the text you have already published and find out what it actually covers. Strengthening an existing article is often faster and more profitable than writing a new one from scratch.

Competitor reading gets much easier when both texts are broken down into terms. Paste the competitor's text next to your own and you see which terms they cover that you never touch. The tool does not fetch the pages for you, but once the text is pasted the comparison goes quickly.

For content teams producing a lot, a fixed pass of this kind is worth the time. Instead of guessing whether an article covers what it should, you get a structured reading that points to what is missing. That gives steadier quality across the texts.

FAQ

What are semantically related keywords?

Terms that naturally belong with the main keyword without being synonyms. For "car dealer Oslo" that means words like "used car", "test drive", "car financing" and "car brands". They say something about how broadly and deeply the text covers the topic.

Can I analyze a competitor's pages?

Yes, but you have to copy the text in yourself — the tool does not fetch pages from the web. Paste the competitor's text, run the analysis, and compare the list with the one you got for your own text.

What's the difference between primary and secondary keywords?

The primary keyword is the main focus — what you above all want to cover. Secondary keywords are related terms that support the main topic. Semantically related terms sit one step further out and show the breadth of coverage.

How many keywords should an article have?

There is no fixed rule. A well-worked article usually has one clear main keyword, a few secondary ones and a dozen or so related terms that fall naturally into the text. The tool assesses whether the balance looks reasonable or skewed.

Does this work for Norwegian content?

Yes. The analysis handles Norwegian inflection and compound words, and distinguishes forms of the same word instead of counting them as separate terms.

Try Keyword Extractor free