TL;DR: "LSI keywords" is technically a misnomer — Google doesn't use Latent Semantic Indexing. But the underlying principle is real and important: Google understands topics, not just keywords. Including semantically related terms in your content helps Google understand what your page is about and rank it for a broader set of queries.
Let's get the uncomfortable truth out of the way: Latent Semantic Indexing (LSI) is a technique from the 1980s designed for small document collections. Google doesn't use it. Google's own John Mueller has said as much, publicly, more than once. The SEO industry adopted the term and applied it to something that's related but fundamentally different.
So why am I writing about it? Because the underlying idea — that your content should include semantically related terms, not just repeat your target keyword — is completely valid. Google's actual systems (BERT, MUM, and their various embedding models) absolutely understand semantic relationships between words. A page about "coffee brewing" that also mentions "grind size," "water temperature," and "extraction time" will rank better than one that just repeats "coffee brewing" fifty times. That's not LSI. That's how modern NLP works. But the SEO industry calls it "LSI keywords" and that's probably not changing, so let's work with it.
Call it semantic SEO, topical coverage, or just "writing naturally about a subject." Whatever the label, the practice works. Here's how to apply it -- and more importantly, where the myth-busting needs to stay sharp throughout this piece rather than reverting to the standard playbook.
In simple terms, the words the SEO industry calls "LSI keywords" are words or phrases that are conceptually related to your primary keyword. They help search engines understand the context of your content. The name is wrong, but the behavior is real.
Here's the critical distinction most guides miss: Google doesn't have a separate "LSI module" that scores your semantic coverage. Instead, Google's language models naturally understand that "espresso," "barista," and "brewing methods" are related to "coffee shop." When your page includes these terms naturally, you're not triggering some special algorithm -- you're simply writing the way a knowledgeable person writes about a topic. And Google's models, trained on the entire internet, recognize that pattern.
For example, if your primary keyword is "coffee shop," related semantic terms might include "espresso," "cafe," "barista," or "brewing methods." These aren't just synonyms -- they are terms that add topical depth. A page about "coffee shop" that never mentions espresso, lattes, or beans reads like it was written by someone who has never actually been to a coffee shop. Google's models pick up on that incongruence. (Interestingly, this is also why AI-generated content often underperforms -- it hits the keywords but misses the natural vocabulary that comes from real experience with a topic.)
The key difference from keyword stuffing: Traditional keywords are what people directly search for. Semantic terms are what give your content richness and topical completeness. One signals relevance; the other signals depth.
The SEO industry's obsession with "LSI keywords" as a technique obscures a more important truth: Google rewards topical completeness. Google's helpful content system, as described in their own documentation from August 2022 onward, explicitly asks whether content demonstrates "first-hand expertise or knowledge" and whether it provides "substantial, complete, or comprehensive" coverage of a topic.
Semantic terms are how you demonstrate that completeness. Not because they trigger some LSI algorithm, but because they're the natural vocabulary of genuine expertise.
Here's where I push back on the standard advice you'll read elsewhere: most "LSI keyword tools" (LSI Graph, LSIKeywords.com) are essentially generating co-occurrence lists from Google search results. That's not semantic analysis -- it's pattern matching. The terms they suggest are usually fine to include, but treating their output as a checklist to mechanically insert into your content is exactly the wrong approach. You end up optimizing for a tool's model of Google rather than for Google itself.
The better approach: write about your topic with genuine depth, then use these tools as a sanity check. "Did I forget to mention anything important?" is a useful question. "Did I hit all 47 LSI keywords from the tool?" is not.
When you use a variety of related terms around your main keyword, your page becomes eligible to rank for queries you didn't explicitly target. A page about "How to Open a Coffee Shop" that includes terms like "espresso machines," "barista training," "cafe decor," and "coffee bean sourcing" can rank for searches about any of those sub-topics -- not just the primary keyword.
This isn't theoretical. In SEOJuice, we track which keywords pages rank for, and consistently find that pages with broader topical coverage rank for 3-5x more keywords than pages that narrowly target a single phrase. According to a 2024 analysis by Ahrefs, the average top-10 page ranks for nearly 1,000 other keywords. That breadth doesn't come from keyword stuffing -- it comes from naturally comprehensive content.
Back in the day, the common SEO tactic was to stuff your content with as many repetitions of the target keyword as possible. Search engines now penalize this because it leads to unreadable content. Semantic terms let you maintain SEO signal strength while writing naturally. Instead of using "healthy eating" twelve times in four paragraphs, you can use "balanced diet," "nutritious meals," and "whole foods" to convey the same topical relevance without sounding like a broken record.
Google's spam policies explicitly call out "keyword stuffing" as a violation. Semantic variation isn't just better for readers -- it's the difference between content that ranks and content that gets flagged.
This is the point most guides bury or miss entirely. The reason semantic coverage works isn't just algorithmic -- it's because people who actually know a topic naturally use its vocabulary. A cardiologist writing about heart disease will naturally mention "atherosclerosis," "statins," "left ventricular function," and "ejection fraction." A content farm recycling WebMD articles will say "heart disease" thirty times.
Google's E-E-A-T framework rewards the cardiologist because their content demonstrates genuine expertise through its vocabulary. Semantic terms aren't a trick to game the algorithm -- they're a byproduct of knowing what you're writing about. When I write about SEO, terms like "crawl budget," "index bloat," and "topical authority" appear naturally because they're part of how I think about the subject. I don't insert them from a checklist.
Your H2 and H3 headings are natural places for semantic variation. Instead of repeating your primary keyword in every heading, use related terms:
This signals to Google that your content covers multiple angles of the topic.
Weave semantic terms into your paragraphs where they fit naturally. The operative word is "naturally." If you have to contort a sentence to include a term, leave it out. Forced keyword inclusion is worse than omission -- it breaks reading flow and sends exactly the wrong signal to both readers and algorithms.
These are often overlooked. Including semantic terms in your meta description can improve click-through rates by matching a wider range of search queries. For image alt text, semantic terms help with image search visibility.
When linking between your own pages, use varied anchor text that includes semantic terms. Instead of linking "yoga guide" every time, vary with "yoga for flexibility," "beginner stretching routines," and "mobility exercises." This diversification helps both users and search engines understand the relationship between your pages.
1. Google's own features. Type your keyword into Google and look at autocomplete suggestions, "People Also Ask" boxes, and "Related searches" at the bottom. These are real queries real people use, and they're free. This is genuinely the best source of semantic terms because it comes directly from search behavior.
2. Your own expertise. If you know your topic, you already know the vocabulary. Write naturally first, then check if you've covered the key subtopics. This is the approach I'd recommend to any founder writing about their industry.
3. Competitor analysis. Look at what the top-ranking pages for your keyword cover. If every page in the top 10 mentions "extraction time" in their coffee brewing guide and yours doesn't, that's a gap worth filling. Not because of "LSI" but because you're missing a subtopic your audience expects.
4. Tools (with caveats). Tools like SEMrush's Topic Research, Ahrefs' Content Gap, and Google Keyword Planner can suggest related terms. They're useful as idea generators, not as checklists. The moment you start mechanically inserting terms from a tool's output, you've lost the plot.
I'd actively avoid dedicated "LSI keyword generators" that present themselves as revealing Google's secret semantic algorithm. They're not. They're showing you co-occurrence data from search results, which is useful but not magical.
Let me be absolutely clear about what we know vs. what the SEO industry assumes:
What we know: Google uses advanced NLP models (BERT, MUM, Gemini) that understand semantic relationships between words. Content that demonstrates topical depth ranks better than content that doesn't. Google's own guidelines emphasize comprehensive, expert-level content.
What the SEO industry assumes: That there's a specific "LSI" score or module that you can optimize for. That dedicated LSI tools reveal what Google's algorithm "wants." That inserting a specific number of semantic terms will improve rankings.
The first set of facts should guide your strategy. The second set of assumptions should not. Write like an expert, cover your topic thoroughly, and use your natural vocabulary. That's the whole "LSI keyword strategy" in one sentence.
Stop thinking about "LSI keywords" as a separate optimization step. Instead, think about topical completeness. Before publishing any page, ask yourself:
If you can answer those honestly, you've done more effective "semantic SEO" than any tool-driven checklist could achieve. The term "LSI keywords" will probably never die in the SEO industry. But the practice it points to -- writing comprehensive, expert-level content with natural topical vocabulary -- is genuinely good advice, regardless of what you call it.
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