Semrush Keyword Magic Tool, and why 780,000 keywords is the problem

Semrush advertises the Keyword Magic Tool on the size of its database. In my own account, one seed keyword on broad match returned over 780,000 keywords, more than 20 million combined monthly volume, average difficulty around 52.

That is not a result. That is a haystack with a press release attached. Nobody has ever made a decision from 780,000 rows, and the reason most people get nothing out of this tool is that they treat the number as the value.

The value is entirely in what you do in the next ninety seconds.

The filter order that matters

Filters are not interchangeable, and applying them in the wrong order means you spend your judgement on rows that were never candidates. This is the order I use.

1. Match type first. Broad gives you everything, phrase requires your seed words in any order, exact requires the phrase as typed. Watch the count, total volume and average difficulty change as you switch. That movement tells you how loose your set actually is.
2. Volume floor second. One filter is what took my set from over 700,000 to roughly 22,000. One click, 97 percent of the noise gone.
3. Difficulty band third, and only as a sort, never as a gate.
4. Intent last. Commercial and transactional for money pages, informational for the cluster around them.

Do it in that order and you are choosing between hundreds of rows instead of hundreds of thousands.

Question keywords are the underrated tab

There is a questions view, and it is the fastest route to two things a volume-sorted list will not give you.

First, intent is legible. A question states what the searcher wants in their own words, so you don’t have to infer it from a two-word phrase. Second, questions are what get pulled into People Also Ask and related-results blocks, which means one piece of content can surface in more than one place on the page.

For a new site with no authority, the questions tab is usually a better starting point than the main list, because the competition on a well-phrased question is a forum post rather than a category page.

Difficulty is a sort, not a verdict

Keyword difficulty is a modelled number. It’s grouped into bands in the interface, which makes it feel more definitive than it is.

Two keywords showing the same difficulty can have completely different result pages: one with three weak affiliate posts, one with a Wikipedia entry and two vendor docs. The score cannot see that difference. So use difficulty to order your candidates, then open the actual SERP for the five you care about before you commit a month of writing to them.

This is the single most expensive mistake I see people make with this tool, and it comes directly from trusting a number the tool itself presents as approximate. The wider keyword research process is where that judgement lives.

The limit worth checking before you buy

Two things will cap you, and neither is about finding keywords.

Report rows. Every plan has a row limit per report and a daily request cap. On a lower tier you can see that 780,000 exists and export a fraction of it, which matters the moment you want the set in a spreadsheet rather than on screen.

Languages. The language filter covers a limited list. If you work in a market whose language is not on it, that filter is simply not available to you and the country database behind your research may be thinner than the headline “142 databases” implies. Check your specific market during a trial rather than after.

Both are plan-dependent, and which tier gives you what is worth reading before you commit.

Finish in Keyword Manager, not in a spreadsheet

The last step is the one people skip. Send your filtered set to Keyword Manager and cluster it there.

Clusters map to pages. Keywords do not. A cluster of fourteen related queries is one article with a clear job; fourteen keywords in a spreadsheet is fourteen arguments with yourself about which to write first. The clustering step is what converts research into a plan, and it takes about ten minutes on a list you have already filtered properly.