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Best LSI Keyword Tools in 2026 (And the Honest Truth About LSI)

LSI keywords are not a real Google ranking factor. But the free tools people call LSI tools still find useful related terms, so here are the ones worth using.

Sunny Kumar
Sunny Kumar7 min read
TL;DR

"LSI keywords" are not a real Google ranking factor, the term is a myth. What you actually want is related, semantic keywords. The best tools for those in 2026 are SEMrush and Ubersuggest, SurgeGraph (the old LSIGraph), Keyword Tool and Google Keyword Planner, plus free options like Soovle. The fastest method now is asking ChatGPT or Claude, or plugging Ubersuggest's MCP straight into your AI assistant.

Someone probably told you to add "LSI keywords" to your posts, and now you are here looking for a tool to find them.

Before you pick one, a bit of honesty that will save you money: there is no such thing as an LSI keyword, at least not the way SEO blogs use the phrase.

Do not close the tab, though. The thing you are really after is real, and finding it is easy. Let me show you the tools that do it, and the AI shortcut most guides have not caught up to.

Wait, are LSI keywords even a real thing?

No, and it is worth thirty seconds to understand why.

"LSI" stands for latent semantic indexing, a method from the late 1980s for matching documents in small, fixed sets of text. It has little to do with how Google reads a page today.

Google has said plainly that it does not use LSI keywords. The phrase survived because it sounded clever and helped sell software.

What is real is simpler: related keywords. The words and ideas that naturally belong with your topic.

Write about running shoes and the related terms are cushioning, pronation, heel drop, trail, marathon. Cover them and your page feels complete. Leave them out and it feels thin.

That is the whole job. Every tool below helps you do it, whatever label it wears.

The tools at a glance

A quick map before the details. "Free" means a genuinely usable free option, not a trial.

ToolTypeFree / PaidBest for
SEMrushFull SEO suitePaid (free trial)Deep keyword + topic research
UbersuggestKeyword toolFree + paidFree related-keyword ideas
SurgeGraphContent / AEOPaidThe old LSIGraph, now AI-focused
Keyword ToolAutocompleteFree + paidLong-tail from autocomplete
Keyword PlannerGoogle's ownFreeVolume + related terms
SoovleMulti-engineFreeIdeas across search engines
Keyword SheeterBulk ideasFreeFast bulk keyword dumps
ChatGPT & ClaudeAIFree + paidInstant related terms + entities

Do you actually need to pay?

Not to begin with. The free options here are genuinely good.

Google Keyword Planner and autocomplete hand you Google's own data. Keyword Tool and Soovle widen the net. Ubersuggest's free tier adds search volume. AI ties it together.

A paid tool earns its place when you need scale: thousands of variations, accurate difficulty scores, competitor gaps. That is SEMrush territory.

And if what you are really hunting is low-competition keywords a small site can win, I tested the LowFruits-style weak-spot tools separately.

So for one post at a time, free plus AI is plenty. Pay when the research is genuinely slowing you down.

The tools, one by one

Method 1

SEMrush

Best for: Deep keyword and topic research

SEMrush is the paid heavyweight. Its Keyword Magic Tool spits out related keywords, questions and variations by the thousand.

Better still, its Topic Research tool maps the subtopics a piece should cover. That is exactly the "semantic" job people hope an LSI tool will do.

It runs around $140 a month, with a free trial to test it. Too much for a single post, but the daily driver if SEO is your work.

SEMrush homepage, an all-in-one SEO platform with keyword and topic research tools
SEMrush's Keyword Magic and Topic Research do the real semantic-keyword job better than any single-purpose LSI tool.
Try SEMrush free

Method 2

Ubersuggest

Best for: Free related-keyword ideas

Ubersuggest is the friendly free one, and usually where I start a post.

Type a keyword and the Keyword Ideas report sorts the results into suggestions, related terms, questions and comparisons, with volume next to each. That layout is basically a ready-made related-keyword map.

The free tier gives you a few searches a day; paid lifts the cap. It also connects to AI assistants now, which I cover near the end because it is a real upgrade.

Ubersuggest free keyword research tool homepage
Ubersuggest's Keyword Ideas report reads like a ready-made related-keyword map, on a usable free tier.

Method 3

SurgeGraph (the old LSIGraph)

Best for: People who remember LSIGraph

Searching for LSIGraph or an LSIGraph alternative? Here is what changed.

LSIGraph became SurgeGraph and moved toward AI writing and AEO, getting your pages cited inside ChatGPT, Perplexity and Google's AI answers. That rebrand is why the old tool feels like it disappeared.

It still handles semantic work, but it is no longer a quick keyword generator. If that simpler tool is what you miss, Ubersuggest or the AI route below is closer to it.

SurgeGraph homepage, the rebranded LSIGraph, now an AI content and AEO tool
LSIGraph is now SurgeGraph, focused on AI and AEO. Even the original LSI tool moved on from LSI lists.

Method 4

Keyword Tool (keywordtool.io)

Best for: Long-tail terms from autocomplete

Keyword Tool pulls ideas straight from Google autocomplete, plus YouTube, Bing and Amazon.

Autocomplete is real search behaviour, so what comes back is the long-tail, related phrasing people genuinely type.

The free version shows the suggestions; paid adds the volume numbers. A reliable free way to gather the variations around a keyword.

Keyword Tool homepage showing keyword research from Google autocomplete
Keyword Tool mines Google autocomplete for the long-tail terms people actually type.

Method 5

Google Keyword Planner

Best for: Free related terms from Google itself

Google Keyword Planner is free with any Google Ads account.

It serves up related keywords and rough volume ranges from the source. It is built for advertisers, but those related ideas work just as well for planning content.

The volume bands are wide, but the data comes from Google. A dependable starting point.

Google Keyword Planner page for researching keywords
Keyword Planner is free and pulls related terms straight from Google. A dependable baseline.

Method 6

Soovle

Best for: Ideas across several search engines

Soovle, now hosted on seo.com, shows autocomplete from Google, Bing, Amazon, YouTube and Wikipedia all at once.

That side-by-side view catches related terms a single engine would miss, especially the buying-intent ones from Amazon.

Free and fast. A handy way to widen a list with ideas from beyond Google.

Soovle multi-engine keyword suggestion tool
Soovle shows suggestions from several engines at once, catching terms Google alone misses.

Method 7

Keyword Sheeter

Best for: A fast bulk brainstorm

Keyword Sheeter bulk-generates hundreds of autocomplete ideas in seconds.

There is no volume data, just a firehose of related terms you trim down afterwards.

Free for the bulk part. Rough around the edges, but hard to beat when you want every variation around a seed keyword in one go.

Keyword Sheeter free bulk keyword research tool
Keyword Sheeter dumps hundreds of related terms in seconds. No volume, but great for a brainstorm.

Method 8

ChatGPT and Claude

Best for: Instant related terms and entities

This is the option the old lists do not have, and it has become my fastest first step.

Ask ChatGPT or Claude for the related terms, subtopics and entities a thorough article on your keyword should cover. A clean, grouped list comes back in seconds.

A prompt I keep handy: "Act as an SEO. For the keyword [X], list the subtopics, related terms and named entities a complete article should cover, grouped by section."

The catch: AI cannot give you reliable search volume. So pair it with a real keyword tool like KWFinder for the numbers, and let AI handle the ideas.

Claude homepage, an AI assistant useful for generating related and semantic keywords
Claude and ChatGPT generate related terms and entities in seconds, and tell you why each belongs.

Can AI pull the keyword data for you?

Yes, with real numbers now, not guesses. Ubersuggest has an official MCP, and MCP, the Model Context Protocol, lets an AI assistant talk straight to a tool's data. So instead of opening Ubersuggest, running a search and exporting a spreadsheet, you connect it once and simply ask. This is the part that genuinely changed my workflow this year.

Inside Claude I type "find related keywords and questions for cushioned running shoes, with volume". Ubersuggest sends the real numbers into the chat, and Claude groups them and drafts an outline from there.

What makes it click:

  • Real data, not guesses. You get Ubersuggest's actual figures, not invented ones.
  • One place. Research, grouping and the first outline happen in a single chat.
  • Plain language. You ask the way you would ask a colleague.

The official MCP opens up 37+ Ubersuggest tools and works with Claude, ChatGPT and Cursor. Keyword Tool and a few others are adding it too.

If you adopt one new thing here, make it this. It quietly retires the old single-purpose LSI generators.

Ubersuggest MCP server page showing it connects keyword data to AI assistants like Claude and ChatGPT
Ubersuggest's MCP feeds its keyword data straight into Claude or ChatGPT. You ask in plain English; it answers with real data.

Cover the topic, do not sprinkle terms. The list you built is a checklist for completeness, not a quota to hit. Finding the words is easy; using them well is where posts go wrong.

Lean on the SERP too. Autocomplete, "People also ask" and "related searches" are free and straight from Google.

Split by intent. Some related terms are really separate posts in disguise.

Then just write. If you cover the topic properly, the related words turn up on their own. That is the entire point.

The short version

LSI keywords are a myth. The instinct behind the search is not: cover your topic with the words and ideas that belong to it.

You do not need a special LSI tool for that. SEMrush or Ubersuggest for the data, the free autocomplete tools to widen it, and AI to organise it.

And if you want the quickest setup going, connect Ubersuggest's MCP to Claude or ChatGPT and just ask.

For more of these, our tool guides and roundups cover the same ground for other jobs, like the best digital marketing tools for the wider stack.

Common questions

Are LSI keywords real, and does Google use them?

No. LSI (latent semantic indexing) is a 1980s information-retrieval technique, and Google has said plainly it does not use "LSI keywords". The term stuck in SEO anyway. What is real is related and semantic keywords, the terms and entities that naturally belong to a topic, and those do matter.

What is the best free LSI keyword tool?

For free, use Google Keyword Planner, Keyword Tool (keywordtool.io), Soovle and the free tier of Ubersuggest. For pure speed, ask ChatGPT or Claude to list related keywords and entities for your topic. Between them you can build a full semantic keyword list at zero cost.

What happened to LSIGraph?

LSIGraph, the original "LSI keyword generator", rebranded to SurgeGraph and shifted toward AI content and AEO (getting cited in AI answers). It still does semantic keyword work, but it is no longer a single-purpose LSI tool. If you searched for an LSIGraph alternative, that rebrand is usually why.

Can ChatGPT or Claude generate LSI keywords?

Yes, and they are good at it. Ask either for the related terms, subtopics and entities a piece on your keyword should cover, and you get a usable semantic list in seconds. Pair it with a real keyword tool for search volume, which the AI cannot reliably give you.

What is the Ubersuggest MCP?

It is an official integration that connects Ubersuggest's keyword data to AI assistants like Claude, ChatGPT and Cursor through the Model Context Protocol. You ask for keywords in plain English inside the chat, and Ubersuggest returns real volume and suggestions, no dashboard or CSV needed.

How do you find semantic keywords for an article?

Start with your main keyword in a tool like SEMrush or Ubersuggest, then mine Google autocomplete, "People also ask" and "related searches". Add the entities AI suggests. The goal is to cover the topic fully, not to stuff a list of "LSI" terms.

Written by
Sunny Kumar
Sunny KumarSEO Specialist & product builder

SEO Specialist and product builder with 10+ years in search. The notes come from the work, not the theory.