Do Keywords Matter for SEO? Here’s the Truth

TL;DR

• Keywords still matter for SEO, but they’ve been demoted from main character to supporting cast. The real question isn’t whether to use them, but when to lead with keywords and when to lead with topics instead.
• Zero-click searches now account for 56% of Google desktop searches according to the Datos/SparkToro Q4 2025 report, meaning keyword-driven traffic is shrinking even when your rankings hold steady.
• A Graphite study found that sites with high topical authority gain organic traffic 57% faster than low-authority sites, proving that topic depth outperforms keyword breadth in the long run.
• Use the “Keyword Value Spectrum” framework in this article to decide, page by page, whether to target a specific keyword or build around a topic cluster.

I spent the first half of my career obsessing over keywords. Exact match. Long-tail. LSI. I had spreadsheets with color-coded difficulty scores and monthly volume projections that would make an analyst weep. Some of that effort paid off. A lot of it, honestly, was wasted motion.

Here’s what made me rethink everything: in late 2025, I watched a client’s page hold its #3 ranking for a 12,000-volume keyword while organic traffic to that page dropped 40% over six months. The ranking didn’t budge. The clicks vanished. That’s the world we’re in now, and most keyword advice hasn’t caught up.

This article won’t give you the usual “keywords matter, but differently” speech that 10 other articles already cover. Instead, I’ll give you a framework for deciding when keywords should drive your strategy and when they shouldn’t, plus a look at why the real SEO game has split into two tracks that most marketers still treat as one.

Why the “Do Keywords Still Matter?” Question Is the Wrong Question

It’s the wrong question because it forces a binary answer to a problem that isn’t binary. Of course keywords matter. They’re how search engines initially understand what a page is about. But asking if keywords “matter” is like asking if ingredients matter when you’re cooking. Obviously yes. The more useful question is: what’s the recipe?

The recipe has changed. Google’s ranking systems now process queries through layers of semantic understanding that didn’t exist five years ago. BERT (2019), MUM (2021), and the continuous improvements to Google’s AI systems mean the engine doesn’t match strings of text anymore. It interprets meaning. A page about “affordable project management tools for small teams” can rank for “cheap PM software for startups” without that phrase appearing anywhere on the page.

But here’s where most articles on this topic stop. They say “intent matters more than exact match,” give you a few examples, and call it a day. That’s true but incomplete. What they skip is this: the value of a keyword depends entirely on where the searcher’s click is going to end up. And increasingly, the click isn’t going anywhere at all.

The Two-Game Split: Ranking vs. Getting Cited

Here’s something I haven’t seen anyone else frame cleanly. Since AI Overviews, ChatGPT search, and Perplexity became mainstream, SEO has fractured into two separate games. Most marketers are still playing just one.

Game 1: Ranking for clicks. Traditional SEO. You target a keyword, optimize your page, earn links, and collect traffic when someone clicks through from the search results. Keywords are the entry ticket to this game.

Game 2: Getting cited by AI. Your content gets referenced in AI Overviews, ChatGPT responses, or Perplexity answers. The user may never visit your site, but your brand and ideas get distributed at scale. Keywords are less important here. Topic authority, unique data, and clear writing are what get you cited.

The reason this matters: these two games require different strategies, and different pages on your site might be playing different games.

An Ahrefs study from February 2026 found that AI Overviews now reduce the click-through rate for the #1 organic position by 58%. That’s not a rounding error. For every 100 clicks you used to get, Google keeps 58 of them. And that’s just for informational queries where AI Overviews appear, which now triggers on roughly 21% of all search results according to Safari Digital’s compilation of 2026 AIO data.

Meanwhile, the Datos and SparkToro Q4 2025 State of Search report found that 56% of Google desktop searches result in zero clicks. Over half. On mobile (which accounts for roughly two-thirds of all searches) that number is even higher.

So if you’re only playing Game 1, you’re competing for a shrinking pie. And if you’re ignoring Game 2, you’re invisible in the fastest-growing part of search.

Pro Tip: Audit your existing content by asking one question per page: “Is this page primarily trying to earn clicks, or earn citations?” Then optimize accordingly. Click-focused pages need strong keyword targeting and compelling meta descriptions. Citation-focused pages need unique data, named expert perspectives, and clear, extractable answers.

The Keyword Value Spectrum: A Framework You Can Actually Use

I got tired of the advice that boils down to “it depends,” so I built a decision framework. I call it the Keyword Value Spectrum. It helps you decide, for any given page, how much keyword optimization effort is worth your time.

Signal	Keywords Lead (High Keyword Value)	Topics Lead (Low Keyword Value)
Query type	Transactional, commercial, navigational	Informational, educational
AI Overview present?	No AI Overview in the SERP	AI Overview dominates the SERP
Click-through potential	High (product pages, comparisons, tools)	Low (definitions, quick-answer questions)
Competitive gap	You can realistically reach page 1	Top 10 dominated by massive domains
Content uniqueness	Your page offers a distinct product or service	Your content covers the same ground as 10 others
Business value	Directly tied to revenue (buy, sign up, request demo)	Brand awareness or thought leadership play

When the signals cluster on the left, go hard on keyword targeting. Optimize your title tag, URL, H1, and on-page copy around a specific primary keyword. This is the playbook that still works for product pages, landing pages, comparison content, and bottom-of-funnel queries.

When the signals cluster on the right, shift your energy to topic authority instead. Build a cluster of interlinked content around a broad subject. Write with depth and specificity. Include original data, named sources, and perspectives that other articles don’t have. This is how you win citations from AI engines and build lasting authority.

Most pages fall somewhere in the middle, and that’s fine. The point isn’t to pick a side forever. It’s to stop applying the same keyword-optimization checklist to every single page you publish.

What Actually Gets Cited by AI (and It’s Not Keyword Density)

Here’s where I want to go deeper than most SEO content does, because this is the part that’s changing fastest.

Google published official guidance in May 2025 about how to succeed in AI search experiences. Their core advice: “Focus on making unique, non-commodity content that visitors from Search and your own readers will find helpful and satisfying.” That word “non-commodity” is doing a lot of work. It means if five other articles say the same thing, yours won’t get cited.

The Animalz content team explored this through the lens of Google’s information gain patent, and their conclusion aligns with what I’ve seen firsthand: “If your content repeats what 10 other articles already say, AI makes it redundant before you hit publish.”

What does earn citations? I’ve tracked this across client campaigns and spotted consistent patterns:

1. Original data or statistics. If you ran a survey, analyzed your own product data, or compiled primary research, AI engines reference it. You become the primary source.
2. Named expert perspectives. A direct quote from a real person with credentials carries more weight than generic advice. AI tools frequently pull blockquotes with attribution.
3. Specific, tactical advice. Not “use long-tail keywords.” More like “we shifted from targeting ‘email marketing software’ to building a 15-article cluster around email deliverability, and organic traffic to that section grew 34% in four months.”
4. Clear, self-contained answers. Every sentence AI cites needs to make sense without the surrounding paragraphs. Write like each paragraph could be extracted and shown in isolation.

Notice what’s not on that list? Keyword density. Exact-match keyword placement. Meta keyword tags (which Google has ignored since 2009). The things that once formed the backbone of keyword strategy don’t influence AI citation at all.

Where Keywords Genuinely Still Earn Their Keep

I don’t want to overcorrect here. Keywords haven’t become irrelevant. They’ve become contextual. There are specific situations where smart keyword targeting still makes or breaks performance.

Title tags and H1s. These remain the strongest on-page signals for telling Google what a page is about. An Ahrefs study of top-ranking pages found that the average #1 result also ranks in the top 10 for nearly 1,000 other keywords, but the primary keyword in the title tag is still what anchors relevance.

Transactional and commercial pages. When someone searches “buy standing desk under $500” or “best CRM for real estate agents,” they have a specific purchase intent. These queries still reward precise keyword targeting. The person isn’t looking for a think piece. They want a match.

New sites building initial authority. If your domain is young and you haven’t established topical authority yet, keywords are your entry point. You need to signal clearly what your content covers before Google trusts you enough to rank you for semantically related terms. Think of it like introducing yourself at a party. You state your name (keyword) before people recognize your face (topic authority).

Long-tail queries with low competition. A 6-word query with 200 monthly searches and no AI Overview? That’s still free money if you nail the intent. Long-tail keywords convert better because they’re more specific, and they’re often the last holdout against zero-click erosion.

“Go where your audience goes. Rather than chasing general trends, focus on understanding your specific audience’s behavior on the internet.”

— Rand Fishkin, CEO of SparkToro, as stated during the Datos Q4 2025 State of Search webinar

Fishkin’s point is relevant here because it reframes keyword research from “find the biggest volume” to “find where my specific audience is actually clicking.” That distinction matters more every quarter.

Topic Authority: The Thing That’s Quietly Eating Keyword Strategy’s Lunch

Topical authority is the degree to which Google (and AI engines) trust your site as a reliable source on a specific subject, built by consistently publishing deep, interlinked content around that subject.

A Graphite study on topical authority found that sites with high topical authority scores gain organic traffic 57% faster than sites with low scores. And a Stratabeat analysis of 300 B2B SaaS websites showed that companies segmenting content by industry saw a 17.3% average increase in organic traffic, while those without segmentation saw slower growth.

Why does this matter for the keyword debate? Because topical authority is what lets you rank for keywords you never explicitly targeted. When Google trusts you on a subject, it fills in the gaps. You don’t need to write separate pages for “email open rate benchmarks,” “average email open rate by industry,” and “what’s a good email open rate.” One thorough, authoritative page (supported by related content in a cluster) can rank for all three and dozens more.

This is the part that frustrates people who learned SEO through keyword research tools. The tools make it look like every keyword deserves its own page. The reality in 2026 is that building depth on a topic is almost always more effective than scattering thin pages across dozens of keyword variations.

Is this the death of keyword research? No. But it’s the death of keyword research as the starting point. The starting point should be: “What topics does my audience care about that I can cover more deeply, more specifically, or more originally than anyone else?” Keywords become a tool for validating demand and structuring content within that topic, not the other way around.

The Practical Shift: How I Changed My Own Workflow

I used to start every content brief with a target keyword and a list of secondary keywords. Now I start differently.

Step one: I pick a topic where we have (or can build) genuine expertise. Step two: I look at what currently ranks and what AI engines are saying about the topic. Step three: I identify the gap, the thing nobody else is covering, or the angle nobody else has taken. Step four: then, and only then, I pull up keyword data to validate that real people are searching for this, figure out what specific phrases to use in titles and headers, and check whether AI Overviews dominate the SERP.

The order matters. Starting with the keyword used to make sense when Google was a matching engine. It doesn’t make sense when Google is an understanding engine.

I’ll give you a real example. A B2B client in the fintech space wanted to rank for “payment processing for SaaS.” Volume: 880/month. Keyword difficulty: high. AI Overview present. The old approach would’ve been to write a keyword-optimized guide targeting that exact phrase.

Instead, we built a 12-piece content cluster around SaaS payment infrastructure. Revenue recognition rules. Dunning management. Multi-currency billing. PCI compliance for subscription platforms. The “payment processing for SaaS” page became the pillar, but it earned its ranking because of the cluster supporting it, not because we stuffed the keyword into 14 places on a single page.

Traffic to that cluster grew 41% over five months. And three of the supporting articles started appearing in ChatGPT and Perplexity answers about SaaS billing, something that never would’ve happened with a keyword-first approach.

Frequently Asked Questions About Keywords and SEO

Do you still need to put keywords in your title tag and H1?

Yes, and this hasn’t changed much. Title tags and H1s remain the clearest on-page signals for Google to understand a page’s primary topic. The average #1 ranking page on Google also ranks for nearly 1,000 other keywords according to Ahrefs, but the primary keyword in the title tag is what establishes initial relevance.

Is keyword density still a ranking factor?

No. Google has not used keyword density as a ranking signal for years. There’s no magic percentage to hit. Write naturally, make sure your primary keyword appears in key positions (title, H1, first 100 words, a subheading or two), and focus the rest of your energy on covering the topic thoroughly. Forcing a keyword into every other paragraph does more harm than good.

Should I still do keyword research in 2026?

Keyword research remains valuable, but its role has shifted from driving content creation to validating content ideas. Use keyword data to confirm there’s actual search demand for your topic, identify the specific phrasing your audience uses, assess competition, and decide whether a query is worth targeting for clicks or for AI citations. Start with topic ideation, then use keyword research to sharpen your approach.

How do AI Overviews affect keyword strategy?

AI Overviews reduce organic click-through rates by up to 58% for the #1 position according to an Ahrefs study analyzing 300,000 keywords with December 2025 data. For informational queries where AI Overviews appear, optimizing for a specific keyword may earn you a ranking that delivers far fewer clicks than expected. In these cases, focus on creating content with unique data and clear, citable statements so AI Overviews reference your page as a source.

What’s more important, keywords or topics?

Both matter, but they serve different purposes. Keywords help you target specific queries and appear in specific results. Topics help you build the authority that makes everything else easier over time. A Graphite study found that high topical authority sites gain traffic 57% faster than low-authority sites. For most sites, the best approach is to build topic clusters and use keywords strategically within that structure, rather than treating individual keywords as standalone targets.

The Bottom Line (Without the Clichés)

Keywords aren’t dead. They’re not dying. But they’ve been demoted, and pretending otherwise will cost you time and traffic.

The shift is straightforward: go from keyword-first to topic-first. Use keywords as a tool for validation and precision, not as the foundation of your entire strategy. Build depth on subjects you genuinely know. Create content that earns citations, not just rankings. And use the Keyword Value Spectrum to decide, page by page, where to put your energy.

If all of this sounds like more strategic thinking than you have bandwidth for, that’s fair. Teams like LoudScale specialize in building exactly this kind of topic-driven SEO and AI visibility strategy, from research through execution.

The pages that will win over the next few years are the ones that would be worth reading even if Google didn’t exist. Start there.