How to Do Keyword Research in 2026

Why Keyword Research Has Changed — And What That Means for You

Keyword research in 2026 looks almost unrecognisable compared to five years ago. The rise of AI-generated search results, conversational queries, and Google's AI Overviews has fundamentally shifted how marketers need to think about search visibility. Simply targeting high-volume keywords and stuffing them into a page no longer moves the needle — if it ever really did.

According to SparkToro's 2024 Zero-Click Search Study, nearly 60% of Google searches in the UK now end without a click to any website. That figure has only grown as AI Overviews become more prominent in search results pages. This doesn't mean SEO is dead — far from it — but it does mean your keyword strategy needs to be smarter, more intent-driven, and built around content that genuinely earns traffic rather than just chasing it.

This guide walks you through a practical, step-by-step keyword research process for 2026, covering everything from AI-assisted clustering to competitor gap analysis. Whether you're running campaigns for a client or managing your own site, this is the process we teach at Byter Academy.

Step 1: Start With Search Intent, Not Search Volume

The single biggest mistake marketers make with keyword research is leading with volume. A keyword with 50,000 monthly searches is worthless if the intent behind it doesn't align with what you're offering. Before you open any tool, you need to understand the four types of search intent.

The Four Intent Categories

• Informational — The user wants to learn something. ("How does programmatic advertising work?")
• Navigational — The user wants to find a specific site or brand. ("Semrush login")
• Commercial investigation — The user is comparing options before buying. ("Best social media scheduling tools 2026")
• Transactional — The user is ready to act. ("Buy Semrush subscription")

In 2026, Google has become remarkably good at identifying intent. If your content doesn't match what Google expects to serve for a given query, you won't rank — regardless of how well-optimised the page is technically. Use the search engine results page (SERP) itself as your first research tool: what content types (articles, product pages, videos, listicles) dominate the results tells you exactly what intent Google has assigned to that keyword.

Step 2: Build Your Seed Keyword List

A seed keyword is a broad term that describes your core topic. From these seeds, you'll branch out into hundreds of variations. Start by brainstorming terms your target audience would actually type — not industry jargon, but the language your customers use when they have a problem to solve.

Practical Sources for Seed Keywords

1. Your own site data — Google Search Console remains one of the most underused free tools available. Filter your "Queries" report to find what people are already searching to find you, including terms you might not be targeting intentionally.
2. Customer conversations — Sales calls, support tickets, and social media comments are goldmines. Real language from real customers outperforms any tool.
3. Competitor landing pages — Look at what your competitors are publishing and optimising for. Tools like Ahrefs and Semrush let you pull the organic keyword lists for any domain.
4. Reddit, Quora, and niche forums — These platforms reveal the exact phrasing people use when they don't know the "correct" terminology. SparkToro's Audience Intelligence tool can surface these communities quickly.

Step 3: Use AI-Assisted Keyword Clustering

Once you have a list of seed keywords and their variations, the next challenge is organisation. You might be looking at hundreds or even thousands of terms — targeting each one individually would be both impossible and counterproductive. This is where keyword clustering becomes essential.

Keyword clustering groups semantically related terms together so that a single piece of content can target multiple queries simultaneously. Historically, this was a tedious manual process. In 2026, AI has made it dramatically faster and more accurate.

How AI Clustering Works in Practice

Tools like Semrush's Keyword Manager, Ahrefs' Keywords Explorer, and dedicated clustering tools such as Keyword Insights or Cluster AI analyse SERP overlap — meaning they check which keywords return similar results pages. If two keywords consistently show the same URLs in the top ten results, Google considers them semantically similar, and you can target them with one page rather than two.

Here's a simplified process to follow:

1. Export your keyword list (aim for at least 100 terms to make clustering worthwhile).
2. Run it through a clustering tool — Keyword Insights processes lists of up to 2,000 keywords in minutes.
3. Review the clusters and assign each one to either an existing page on your site or a new content brief.
4. Identify your primary keyword (highest volume, clearest intent) and supporting keywords for each cluster.

A 2024 study by Search Engine Journal found that pages optimised for keyword clusters rather than single terms saw an average of 34% more organic impressions within six months. Topical authority — demonstrating comprehensive coverage of a subject — is increasingly how Google evaluates sites in competitive niches.

Step 4: Long-Tail vs Head Terms — Getting the Balance Right

Head terms are short, high-volume keywords (one to two words) like "social media marketing" or "email marketing." They're competitive, expensive to rank for, and often vague in intent. Long-tail keywords are longer, more specific phrases — "social media marketing strategy for B2B SaaS companies" — that typically have lower volume but much higher conversion rates.

The conventional wisdom has always been to pursue long-tail terms while you build authority, then compete for head terms over time. In 2026, this advice holds, but with an important caveat: AI Overviews have dramatically changed the click-through landscape for informational long-tail queries.

Where Long-Tail Still Wins

• Commercial and transactional intent queries — AI Overviews rarely appear for "buy" or "best X for Y" searches, keeping clicks available.
• Highly specific technical or niche topics that AI can't fully address with confidence.
• Local search queries ("digital marketing agency Mayfair") where proximity signals matter.
• Comparison and review content, where users want human experience and trustworthiness.

Aim for a keyword portfolio that's roughly 70% long-tail (under 1,000 monthly searches) and 30% mid-to-high volume terms. This balance keeps your content achievable while building the authority needed to compete for bigger terms over time.

Step 5: Competitor Gap Analysis

Competitor gap analysis is one of the highest-return activities in keyword research, yet many marketers skip it entirely. The idea is simple: find keywords your competitors rank for that you don't, then evaluate whether those are terms worth pursuing.

Running a Gap Analysis With Ahrefs or Semrush

1. Go to the Content Gap tool (Ahrefs) or Keyword Gap tool (Semrush).
2. Enter two to four competitor domains alongside your own.
3. Filter for keywords where competitors rank in positions one to ten and you rank below twenty or don't appear at all.
4. Sort by traffic potential rather than raw volume — this shows you the realistic opportunity.
5. Cross-reference with intent: prioritise commercial and transactional gaps over purely informational ones.

When conducting gap analysis, look beyond your direct competitors. Examine the sites that consistently appear in your target SERPs, even if they're not businesses you'd traditionally consider competitors — industry publications, comparison sites, and well-ranked blogs all count.

Step 6: Factor in AI Overviews and Their Impact on Click Behaviour

Google's AI Overviews (formerly Search Generative Experience) now appear in a significant proportion of UK search results. BrightEdge's 2025 research indicated that AI Overviews were showing for approximately 42% of queries in verticals such as finance, health, and marketing. This has real implications for which keywords you prioritise.

Adapting Your Strategy

Queries that trigger AI Overviews — typically broad informational questions — are seeing reduced click-through rates to organic results. This doesn't mean avoiding informational content altogether, but it does mean you need to be strategic about where you invest your effort.

• Optimise for AI Overview citations — Pages that are cited within AI Overviews still receive brand exposure and some traffic. Structure your content clearly with direct answers, proper use of headings, and factual claims that are easy to extract.
• Prioritise "owned" traffic opportunities — Focus more resource on keywords where AI Overviews are less likely to appear: comparison queries, product-specific searches, and local terms.
• Build for brand searches — As zero-click searches grow, brand awareness becomes a form of SEO. Getting your name in front of users through thought leadership, social content, and PR means they'll search for you directly.

Use Google Search Console's "Search type" filters and monitor your click-through rates by query type. A sudden drop in CTR for previously strong keywords is often a signal that an AI Overview has appeared for that term.

Tool Recommendations for 2026

The market for keyword research tools has matured considerably. Here's a practical breakdown of what to use and when:

• Ahrefs — Best for backlink analysis, competitor research, and content gap work. Their Keywords Explorer remains best-in-class for traffic potential estimates. Starting from £99/month.
• Semrush — Strongest for PPC keyword research and their Keyword Magic Tool for large-scale discovery. Also excellent for local SEO. Starting from £108/month.
• Google Search Console — Free and irreplaceable. Always your first port of call for existing site performance data.
• Keyword Insights — Specialist clustering tool that saves hours of manual organisation. Pay-as-you-go credits available.
• AlsoAsked — Brilliant for mapping related questions and understanding how Google groups topics. Useful for building FAQ sections and content that targets featured snippets.
• SparkToro — For audience intelligence rather than keyword data — helps you find where your audience spends time online and what language they use.

You don't need all of these simultaneously. For most small-to-medium businesses, Google Search Console plus one of either Ahrefs or Semrush covers the vast majority of use cases.

Putting It All Together: A Repeatable Process

Keyword research isn't a one-off task — it's an ongoing process that should feed directly into your content calendar, paid search strategy, and website architecture decisions. Here's the repeatable framework we recommend:

1. Conduct a full keyword audit every quarter using Search Console data and competitor gap analysis.
2. Cluster new keyword opportunities into content briefs and assign them to your editorial calendar.
3. Review intent alignment for your top twenty ranking pages every month — intent shifts, and so should your content.
4. Monitor CTR trends weekly to identify where AI Overviews may be cannibalising your traffic.
5. Test and iterate — run A/B tests on title tags and meta descriptions for high-impression, low-click keywords to improve CTR without rewriting the whole page.

The marketers who will win in search over the next few years are those who treat keyword research as a continuous strategic process rather than a box to tick before launching a new page. Data-informed decisions, updated regularly, will consistently outperform instinct and guesswork.

Take Your SEO Skills Further With Byter Academy

Keyword research is just one piece of a broader digital marketing skill set — and the landscape will keep evolving. At Byter Academy, the education arm of Byter (our Mayfair-based digital marketing agency), we offer practical, up-to-date courses designed for marketers who want real-world skills, not just theory.

Our SEO and content marketing programmes walk you through every stage of the process covered in this article, with hands-on exercises, live tool walkthroughs, and frameworks you can apply immediately. Whether you're a freelancer, an in-house marketer, or a business owner managing your own digital presence, our courses are built to meet you where you are.

Explore the full range of Byter Academy courses and find the programme that fits your goals. Because in 2026, keeping up isn't enough — you need to stay ahead.