Keywords vs User Queries: The Best Way to Plan Content

For years, content marketing and SEO revolved around keywords. Businesses built content calendars around search volume, keyword difficulty, and ranking opportunities. If a keyword had enough searches, it became a blog post. 

If it had even more searches, it became a landing page.

Today, that approach is becoming less effective on its own. Users are increasingly asking complete questions and expecting direct answers, with AI taking over most informational content.

A philosophy we like to highlight is to understand what people want to know, then use keyword research to validate and scale those insights.

So if you’re on the fence between Keywords and queries, let’s talk about it.

Keywords and User Queries Are Not the Same Thing

A keyword is a search term. A user query is the question, goal, or problem behind that search term.

While we use these terms interchangeably, they do represent different things. In a way, it’s kinda like short-tail keywords vs long-tail keywords.

Consider the keyword:

The keyword remains the same but the user’s intent changes completely.

Search engines increasingly focus on satisfying the user’s underlying need rather than simply matching exact keyword phrases.

A page that only repeats “SEO agency” multiple times may struggle against content that genuinely answers the questions users are asking like “How much does a SEO agency cost?”

The Problem With Planning Content Around Keywords Alone

Search volume does not automatically equal relevance.

Imagine a marketing team identifies the keyword “content marketing” and immediately creates an article called “What Is Content Marketing?”

The keyword may have substantial search volume.

However, different users may actually be asking:

• Does content marketing generate leads?
• How much does content marketing cost?
• Is content marketing better than paid ads?
• How long does content marketing take to work?
• Should I outsource content creation?

A single broad article may not fully satisfy these different intentions. After all “content marketing” is such a broad word, how do you know who’s looking for what?

This is one reason why many businesses publish dozens of articles that generate traffic but fail to generate enquiries.

The content attracts visitors but does not address the questions that influence purchasing decisions.

Why User Queries Matter More Than Ever

Google’s algorithms have spent years moving beyond simple keyword matching and AI-powered search experiences accelerate this trend even further.

Instead of searching “best payroll software”

Folks may search: “Which payroll software is best for a 50-person company in Malaysia?”

Instead of searching: “solar panels”

They may ask: “Are solar panels worth installing for a factory in Malaysia?”

These longer, more specific searches reveal much more about what the user actually wants and really, they make conversion much easier.

So when your content directly addresses these questions, it becomes more useful to both users and search engines.

The Best Content Teams Start With Questions

High-performing content strategies often begin with audience questions rather than keyword lists.

Before opening an SEO tool like Semrush or Ahref, ask:

• What do prospects ask during sales calls?
• What concerns delay buying decisions?
• What misconceptions exist in the market?
• What questions repeatedly appear in emails?
• What objections prevent conversions?

These questions often reveal content opportunities that keyword research alone might miss.

For example, a business may discover customers frequently ask: “How long does SEO take to work?”

Keyword research can then validate if there is sufficient search demand around that topic. Most of the time the monthly search volume might not reach above 100, but that’s okay!

The important thing is: The question comes first, the keyword data comes second.

Questions First, Keywords Second

Instead of choosing between keywords and user queries, use them together.

A content planning framework looks like this:

This approach balances audience relevance with SEO opportunity and it also reduces the risk of creating content that ranks but fails to convert.

One Keyword Can Create an Entire Content Cluster

Topic cluster is one of the oldest playbooks in SEO, but it still works and we argue its works BETTER with how Google gauges the overall website for relevance and expertise.

The biggest mistake many businesses make is treating one keyword as one article but really you keyword can be branched out to many.

Let’s take Content Marketing as an example, a great original example. Potential supporting articles include:

Suddenly, a single keyword becomes an entire content ecosystem. This is how topic clusters are built which we have a whole blog on.

AI Search Is Accelerating the Shift

AI search rewards answers, not just optimisation.

Whether users are interacting with Google’s AI Overviews, ChatGPT Search, or other AI-powered tools, the goal remains the same.

The system tries to understand:

• The user’s intent
• The user’s context
• The user’s desired outcome

This means content that directly addresses user questions may gain visibility beyond traditional search rankings.

Businesses that focus solely on keyword placement risk creating content that feels artificial, repetitive, or incomplete.

Businesses that understand the underlying query often produce content that remains useful regardless of how search technology evolves.

Keywords Still Matter, Just not As Much

This article is not an anti-keyword pitch, keywords are still incredibly valuable and if you’re in sales or marketing, a well-performed keyword is your ticket to a happy customer.

Keywords help businesses:

• Measure demand
• Discover opportunities
• Understand search language
• Prioritise content production
• Identify topic gaps

Without keyword research, content planning can become driven by assumptions rather than evidence. You still need a graph that gives you the confidence to say “This keyword is competitive but we can beat the competition”.

However, this is where many content strategies stop.

The traditional approach often looks like this: Keyword → Article

The modern approach looks more like:

User Query → Search Intent → Keyword Validation → Content

The Search Pyramid Framework