There's no single replacement, because Keyword Insights now does clustering, content briefs and AI search visibility in one place. Pick a dedicated clustering tool if grouping keywords into pages is your main job, a SERP and brief tool if writers need briefs, or a keyword research suite if you still need to build the list itself.
How does your current tool decide that two keywords belong on the same page? That question matters more than any feature list when you leave Keyword Insights. This page is for SEO managers, content strategists and site owners who plan content from keyword lists, and it covers nine options in no particular order, from narrow clustering tools to full research suites.
Clustering and research tools at a glance
Each row uses the vendor's own description of its product, so treat the second column as the vendor's framing rather than an independent label.
| Tool | Approach | Useful for |
|---|---|---|
| AlsoAsked | Question research | Live People Also Ask questions by location |
| KeyClusters | Keyword grouping | Turning live results into page groups |
| KeySearch | Keyword research | Difficulty checks and keyword suggestions |
| Keyword Cupid | SERP-based clustering | Grouping an uploaded list by search intent |
| LowFruits | Weak-spot SERP analysis | Finding weak results in bulk |
| Mangools | SEO tool suite | Simple keyword research with rank tracking |
| Serpstat | All-in-one SEO platform | Keywords, audits and competitors in one platform |
| thruuu | SERP and brief tool | Results analysis, briefs and clustering together |
| WriterZen | Research to writing | One workflow from keyword to draft |
Results-based grouping versus meaning-based grouping
Keyword Insights now pitches topical authority, content briefs and visibility in both Google and AI search. Strip that back and the core job most people bought it for is clustering, and clustering tools don't all work the same way. Some compare the live search results for each keyword: if two terms bring up mostly the same pages, they go together. Others group by meaning, putting words that sound related in one cluster even when Google shows different pages for them.
The two methods can disagree, sometimes sharply. A meaning-based tool may lump a buying query and a how-to query together because they share words, while a results-based tool splits them because searchers want different pages. Neither is right in every case, but if you build one page for a group that Google treats as two intents, that page has to serve two readers at once, and it'll usually serve both of them badly.
Wordtracker used to be an obvious name for a list like this, but its homepage now leads with a free AI visibility report rather than its older keyword tool pitch, so it isn't listed here.
Nine options, listed alphabetically
In no particular order. Each line is drawn from what the vendor says about its own tool.
AlsoAsked
Best for: Content planners who start from questions; the vendor builds on live, location-specific People Also Ask data and clusters the questions by intent.
KeyClusters
Best for: Deciding which pages to create, with the vendor saying it uses live search result data to build topical clusters and show how to interlink pages.
KeySearch
Best for: Smaller sites wanting web-based keyword research, competition analysis, a difficulty checker and suggestions in one place, per the vendor.
Keyword Cupid
Best for: Uploading a keyword list and grouping related terms by search intent from results data; the vendor pitches automatic clustering to build topical authority.
LowFruits
Best for: Finding easier keywords by scanning results pages in bulk for weak spots, which the vendor says other difficulty scores miss.
Mangools
Best for: Site owners wanting a simple suite for easy-to-rank keywords, rank tracking and competitor gaps, which is how the vendor describes it.
Serpstat
Best for: Teams that want keyword research beside rank tracking, competitor analysis and site audits in one platform, as the vendor lists them.
thruuu
Best for: Content teams writing briefs from results analysis; the vendor pitches end-to-end content optimisation, with keyword clustering as one part.
WriterZen
Best for: Writers who want keyword research, topic discovery and content writing in one workflow, which the vendor says suits all SEO levels.
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Three shapes of keyword tool
Dedicated clustering
KeyClusters and Keyword Cupid are the closest like-for-like swaps. Both pitch grouping from search results data, one with interlinking suggestions on top, the other with a simple upload-and-cluster flow. If clustering was the only part you used, start with these two.
Results analysis, questions and briefs
thruuu, LowFruits and AlsoAsked come at the job from the results page or the question. One clusters as part of building content briefs, one hunts for weak results in bulk, and one maps the questions people ask around a topic. They suit teams who want the research and the brief to sit closer together.
Research suites
WriterZen, KeySearch, Mangools and Serpstat cover the list-building end: finding keywords, checking difficulty, watching competitors and tracking where you stand. Grouping is a smaller part of what they do, so check how each one handles clustering before you rely on it for a content plan.
Plain advice before you re-cluster a site
Don't switch on the strength of a demo. Take a keyword list from a part of your site where you already know which pages appear for what, run it through two tools, and compare their groups with what Google shows today. The tool whose groups match the pages Google already prefers is the one to trust with keywords you haven't written for yet.
If your writers need briefs as much as clusters, a brief tool saves a step. If the problem is finding keywords in the first place, a suite will do more for you. And if clustering is the whole job, stay narrow. For wider lists, see my guides to keyword research tools and AI keyword research tools.
A five-step clustering check
- Pick a topic area where you already have pages that appear in search, and note which keywords each page wins.
- Export those keywords, plus a handful in the same area you haven't targeted yet.
- Cluster the same list in two tools using their default settings.
- Mark every place the tools disagree, and every place a tool merges keywords your site already splits across separate pages.
- Search the disputed keywords yourself and see whether the results share pages. That tells you which method fits your niche.
Do you make keyword clustering or SEO software? Tool makers can ask to be considered for a featured place on this list.
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Frequently asked questions
What is keyword clustering?
It's grouping keywords so each group can be targeted by one page. Tools do it by comparing search results for each term or by grouping words with a similar meaning.
Is SERP-based clustering more accurate than semantic clustering?
It's closer to what Google shows today, because it groups keywords that bring up the same pages. Meaning-based grouping can be quicker on huge lists. Test both on keywords you already know well.
Can a keyword research suite replace a clustering tool?
Sometimes. Some suites include grouping features, but clustering is usually a smaller part of what they do. Check how a suite groups keywords before you drop a dedicated tool.
Do clustering tools help with AI search visibility?
No tool can promise visibility in AI answers. Clustering helps you plan clear pages that each answer one intent, which is a sensible base for any search engine.
How many keywords should go in one cluster?
There's no fixed number. A cluster should hold keywords one page can answer well. If the results for two terms show different pages, they probably need separate pages.
What should I check before moving my clustering work?
Check how you'd export your existing clusters and briefs, and how the new tool groups a list you already know. Re-clustering a whole site with a different method can change your content plan.
