Keyword research in 2026 looks completely different than it did five years ago. Search behaviour has shifted. User intent has become more specific. And the tools have changed from simple volume databases to AI-powered systems that understand semantic relationships.
The core problem most teams face is not a shortage of keywords. It’s too many keywords with no clear strategy for which ones actually matter to the business.
This post covers what keyword research actually is, why it’s different now, and how to do it in a way that compounds your visibility across Google and AI search platforms.
What Keyword Research Actually Is (And What It Isn’t)
Keyword research is not typing words into a tool and downloading a spreadsheet. That spreadsheet is useless if it doesn’t connect to a bigger content strategy.
Real keyword research is understanding:
- What problems your audience is trying to solve
- What language they use to describe those problems
- Which problems have the highest commercial intent
- Which problems have the most volume but lowest competition
- How these problems relate to each other thematically
The output of keyword research should not be a list. It should be a content architecture. A map of how topics connect, where gaps exist, and which queries are worth targeting first.
Why Search Behaviour Changed
In 2025 and beyond, search queries have become more conversational. People are asking questions, not typing keywords. They’re using AI assistants instead of Google for some tasks. And they expect results that understand context, not just keyword matching.
For Web3 and crypto specifically, this matters enormously. Your audience searches for “how does a smart contract work” not “smart contract definition”. They search for “is DeFi safe” not “DeFi security. They use natural language because they’re learning, not just looking for a checkbox feature.
Traditional keyword tools still report search volume, but they miss semantic relationships. They treat “blockchain protocol” and “distributed ledger technology” as separate queries when your audience treats them as the same problem with different terminology.
The Keyword Research Process That Actually Works
Step 1: Define Your Audience and Their Jobs to Be Done
Start by answering: who are we trying to reach? Are they founders? Investors? Users evaluating whether to use your product? Marketing teams at other protocols?
Then, what is the job they’re hiring your product to do? Don’t list features. List outcomes. “Stake crypto and earn returns” is not the same job as “understand how staking works”. The first is a user. The second is a researcher.
Your keyword research should focus on the audience and job combination, not just blanket coverage.
Step 2: Brainstorm Core Topic Areas
Before opening a keyword tool, write down the 5-8 main topic areas that your product/service touches. For a DeFi protocol, this might be:
- How the protocol works (mechanics)
- Security and trust (risks and audits)
- Getting started (onboarding)
- Earning returns (use cases and incentives)
- Comparing alternatives (competitive positioning)
For each topic area, you’ll have dozens of keyword variations. This prevents keyword sprawl and keeps your research focused.
Step 3: Run Keyword Research Within Each Topic Area
Now open your keyword tool (SEMrush, Ahrefs, Moz, or equivalent). Search for keywords related to each topic area. Look for:
- Search volume (monthly searches)
- Keyword difficulty (how hard to rank)
- Search intent (is it informational, navigational, or transactional)
- Related keywords (what else are people searching for)
For crypto and Web3, pay special attention to intent. A query like “best DeFi protocol” has commercial intent. A query like “what is liquidity mining” is educational. You need both types, but they serve different pages and different funnel stages.
Step 4: Identify Gaps and Opportunities
Run a competitive keyword analysis. Look at the top 3-5 companies in your space. What keywords are they targeting? Which keywords are they missing? Which ones have moderate volume but no obvious competitor dominating?
These gaps are your opportunities. They’re often not the highest-volume keywords, but they’re the ones where you can actually win.
Step 5: Map Keywords to Content Topics
Don’t create one page per keyword. Group keywords into content topics. A single post about “how to stake crypto on our protocol” might target 15-20 keyword variations: “staking rewards”, “how to stake”, “is staking safe”, “staking fees”, etc.
This is where keyword research connects to content architecture. One well-structured post serves multiple queries instead of creating 20 thin pages.
Why Keyword Difficulty Matters Less Than You Think
SEO tools assign every keyword a difficulty score (0-100). Most teams obsess over this metric, assuming they should only target low-difficulty keywords.
In reality, keyword difficulty matters only if you’re competing with established authority sites. If you have a new Web3 project with no domain authority, you can rank for difficulty-50 keywords if your content is genuinely better than what’s already ranking.
What matters more is competitor analysis. If the top-ranking sites for a keyword are news articles or Wikipedia entries, you can probably outrank them with a focused resource article. If the top results are established crypto platforms, that keyword is harder.
The Role of Search Volume in 2026
Not all search volume is equal. A keyword with 500 monthly searches where all the results are beginner guides is worth more than a keyword with 5,000 monthly searches where Google defaults to product pages.
Search intent matters more than volume. A query that shows clear intent to learn or evaluate your product is worth targeting, even if it only gets 200 searches per month, because those 200 searches are likely to convert. See crypto keyword strategy. See Web3 SEO planning.
For Web3 specifically, many valuable keywords have low search volume because the audience is small. But the commercial value is high because those searchers are usually serious about the topic.
Building a Keyword Strategy That Compounds
The best keyword strategies aren’t built from spreadsheets. They’re built from content silos. A silo is a cluster of related pages that all link to each other, covering a topic comprehensively.
Start with your core topic areas (step 2 above). Then, for each topic area, create 5-10 content pieces that cover different angles and keyword variations. Link them all together internally.
This approach does two things:
- It shows Google that you have comprehensive coverage of a topic
- It helps AI models (ChatGPT, Claude, etc.) understand that you’re a trusted source on that topic
Ranking in Google and being cited by AI are different problems. Keyword research needs to solve both.
Tools That Actually Help
You don’t need an expensive tool to do good keyword research. Here are the basics:
- Google Search Console: Free. Shows you what people are searching for when they find you, and what position you rank in. This is the most truthful data you have.
- Google Trends: Free. Shows search trends over time and geographic breakdown. Useful for understanding seasonal changes or regional differences.
- SEMrush or Ahrefs: Paid. Both have good keyword research functions. SEMrush is often cheaper for early-stage teams. Ahrefs is better for competitive analysis.
- Answer The Public: Free or paid. Shows question-based keywords. Useful for finding long-tail variations and FAQ content opportunities.
The tool matters less than the process. Many teams buy expensive software and skip the actual research work. A spreadsheet and Google Search Console will get you 80% of the way there.
Common Keyword Research Mistakes
Mistake 1: Targeting branded keywords for new sites. If you rank nowhere, don’t spend time optimizing for your brand name. Rank for unbranded queries first, then your brand traffic will follow.
Mistake 2: Ignoring long-tail keywords. “Crypto staking” is harder than “how to stake crypto on Ethereum”. Long-tail queries have less volume but higher intent. They’re worth targeting first.
Mistake 3: Assuming high volume means high value. A keyword with 10,000 monthly searches might be worth less than a keyword with 500 searches if intent differs.
Mistake 4: Not considering where you are in the funnel. Top-of-funnel keywords (problem awareness) and bottom-of-funnel keywords (decision making) need different content. Targeting only one type means leaving money on the table.
Mistake 5: Creating one page per keyword. This creates thin content and internal competition. Group keywords into topics instead.
Frequently Asked Questions
How often should I update my keyword research?
At minimum, quarterly. Search volume changes, new competitors appear, and user intent shifts. A keyword strategy from two years ago is likely outdated. That said, your core topic areas should remain stable. It’s the specific keywords and priority that changes.
Should I target branded keywords for competitors?
Usually not worth the effort. Ranking for a competitor’s branded search is hard and the traffic is low-intent (they wanted the competitor, they found you instead). Focus on unbranded keywords in your space instead.
How many keywords should I target?
This depends on your team size and publishing velocity. A one-person startup should target 50-100 core keywords across 10-15 topic areas. A team of 10 can handle 300-500 keywords across 30-50 topics. Don’t let the number paralyse you. Start with 50 and grow from there.
Is keyword research important if I’m doing content marketing for brand awareness?
Yes. Even awareness content should target real search queries. This ensures your content reaches people who are actually looking for information in that space, not just hoping a broad audience stumbles upon you.
How do I handle keywords with low search volume in Web3?
Target them if they align with your business. Web3 audiences are small, so search volume is inherently lower. A keyword with 50 monthly searches for “Polkadot parachain auctions” might be more valuable than a 1,000-volume keyword because the audience is more aligned with your core product.
Can I do keyword research without paid tools?
Yes. Google Search Console, Google Trends, and manual competitor analysis will get you 80% of the way. Paid tools speed up the process and give you more granular data, but they’re not required to start.
Next Steps
Keyword research is the foundation of SEO. Without it, you’re publishing content and hoping it ranks. With it, you’re publishing content you know people are searching for.
Start with your core topic areas. Then, spend one week researching keywords within each area. Map keywords to content topics. Build a silo of related articles. Track rankings in Google Search Console.
This is where sustainable SEO growth comes from.
Need help building a keyword strategy for your Web3 project or SaaS product? Our SEO consulting work focuses on exactly this: turning keyword research into a content system that compounds.
If you’d like to discuss your keyword strategy and where the biggest opportunities are for your business, you can book a consultation. Learn more about crypto SEO services.
