There are countless ways in which you can organize your keywords into groups and/or smart groups in SEOmonitor’s Rank Tracker, when combining filters.

How does this work?

SEOmonitor gives you the option to filter any keyword list you’re on, in the Rank Tracker, based on any/all keyword attributes and performance metrics.

The filters can be combined through the logical operators AND and OR, and can be grouped within different combinations of these.

All filters can be saved as Smart groups and some are pre-selected as such from the campaign setup.

Ranking Data

These filters are device-relative and most are also timeframe-dependent:

  • Latest desktop rank (in the interval)

  • All-time best rank (ever, independent of the interval)

  • First rank (in the interval)

  • Rank change (in the interval)

  • Ranking landing page (last one in the interval)

Keyword Grouping

These filters use the custom labels you define, and can be used as another hierarchical level.

Keyword Attributes

Some issues and warnings are also available as a quick filter (click on the funnel or directly on the label) and ready for exports, from the keyword table within the Rank Tracker, through their dedicated menu:

Traffic data

Timeframe-relative filters, adding up or averaging different traffic-related metrics.

  • Sessions

  • Conversion Rate

  • Conversions

  • Revenue

  • Bounce Rate

Use cases

Ranking data filters

  • Organize keywords that are contributing to the overall organic results, by selecting those that have “Latest Rank” above 11.

  • Keep an eye on keywords that have dropped and were previously part of the top 3, but have now gotten further down the page, by filtering based on “All-time best Rank” and “Latest Rank”.

  • Watch out for keywords with volatile ranks, by creating a filter with “Rank Change” bigger than 10.

  • Organize your keyword portfolio based on a themed section of the campaign’s website, by filtering for those keywords that contain a specific term, like “shoes”. For this, you would use “Ranking Landing Pages”.

Keyword attribute filters

  • Easily curate long lists of keywords based on the keyword name. You might want to track an entire line of products that the campaign is targeting by including their name.

    For example, if you would apply a “Keyword name” filter containing “dress” you’d track “party dress”, “black dress”, “cocktail dress” etc., without having to manually go through the list and add them to a group.
  • Alternatively, you could accomplish the same result by filtering based on the Landing Page the keyword is ranking for.

    For example, a “2021 Product Models” Keyword Group that filters keywords that have the “Ranking Landing Pages” attribute set to contain “/2021” would show both a BMW X3 and BMW X5, granted that their ranking landing pages contain “/2021”.
  • Visualize your team’s progress in keyword research, by creating chronological groups that reflect the moment these keywords were added. By using the “Date Added” filter, you could group keywords based on that.

  • Search volumes are a good indicator of market demand. By using the “Search Volume” filter you could create groups of keywords that would make the most sense to focus on.

  • SERP features influence CTRs in a different way. Each one has a different effect on the Visibility and therefore on the click-through rates of your keywords. With SEOmonitor you can filter keywords that trigger a certain SERP feature and that you’re listed on or not (yet). For example, you might want to create a filtered group for keywords that trigger travel-related SERP features like “Flights” and “Bookings”.

  • Difficulty & SEO opportunity – Create different levels of backlogs for your keywords based on their Difficulty and corresponding Opportunity. For example, a smart group that has “Top 10 difficulty” of “Easy” and an “SEO opportunity” higher than 8, would provide a curated list of ideas and opportunities for near-term improvements.


  • Brands of others - Create groups of keywords where it would not make sense to focus your efforts, by eliminating navigational keywords that represent other brand names, where most of the clicks would go to that brand's website. Their SERPs usually have the expanded 1st position, with full site-links.

  • Misspelled - Eliminate the errors that could arise by trying to optimize keywords that trigger SERPs for the original keyword, usually signaled with a “Did you mean” at the top of the page. You would not want to keep tracking them: their search volumes are misleading (as they usually represent the search volume from the main close variant keyword) and you would probably not optimize the page for them.

  • Low relevance - During the keyword research process, there’s a chance that some terms might slip through the manual curation process and you’d end up tracking keywords that have little chance of being improved. The “Low relevance” label is applied to keywords where the user's intention would not be met by the website’s content. Your website isn’t ranking, the main competitors you’ve selected aren’t ranking either, so it seems like a targeting mismatch. (Of course, this is just a heads-up, and you can keep tracking these keywords if you know they will have relevant pages and content in the future.)

  • Localized - quickly highlight the keywords with highly-customized SERPs depending on the location, like “restaurants near me”. The presented SERP and its corresponding ranks would not be representative of the other locations, so this helps you be wary of how the search volumes would also be split between the different locations.

  • Seasonal - filter the notable highly-seasonal keywords, that are in/out/approaching their peak season, to better organize your short- and medium-term keywords optimization based on demand, as expressed through changes in search seasonality and monthly trends.


  • Cannibalization - keep an eye on keywords for which the ranking landing page changes constantly (more than 2 landing page switches in the SERP over the last 30 days), as it might suggest technical SEO improvements.

  • Device Rank Discrepancy - By creating groups of keywords that have radically different results from desktop to mobile you will uncover possible issues with the mobile version of your campaign’s tracked domain.

  • No relevant landing page - spot keywords mistakenly added to the campaign or ones that won’t be targeted in the near future; for example, a retailer who is considering adding a new product category. You would be able to keep track of those keywords and competitors and provide monthly insights about the category as time goes by.

Traffic filters

By combining “Sessions”, “Conversion Rate”, “Conversions” and/or “Revenue” metrics, you can create complex groups of keywords that, even though are generating a steady amount of traffic, might lack purchase intent. For example, a keyword group that generates over 1000 sessions per month, but at a conversion rate lower than 50% of the average, could signal a lack of stock.

Mixed filters

With SEOmonitor, you can even combine all these criteria into one smart group. For example, you might want to know which keywords trigger a Google Ad but are in the top 3 already. For this, you would use the filters on “SERP feature” (Ad, "is listed") AND “Latest Rank” (higher than 4).

Did this answer your question?