Search volume tells you how often people search.
It does not tell you how valuable those searches are.
A keyword with 10,000 monthly searches may attract people with little connection to your product. Another with 300 searches may describe a painful problem faced by exactly the customers you want.
This is why SEO content planning should not be based on traffic potential alone.
A better question is:
Which searches indicate that the user has a meaningful problem, task, evaluation, or decision that connects naturally to what the business provides?
Those are high-intent SEO opportunities.
Finding them requires looking beyond simplistic labels such as “informational” and “commercial.”
What does high intent actually mean in SEO?
Search intent describes what a person is trying to accomplish with a query.
High intent means that the underlying job matters.
That does not necessarily mean the searcher is ready to buy something immediately.
Consider these searches:
what is keyword research
how to find content gaps
Ahrefs vs Semrush
best SEO tools for content research
how to find pages competitors rank for but we don't
how to prioritize SEO content ideas
The first query is primarily educational.
The others increasingly describe specific problems, comparisons, or decisions.
Someone trying to understand a basic concept may eventually become a customer, but the connection is weak.
Someone actively trying to solve a workflow problem that your product addresses is much closer to useful product relevance.
That is the distinction that matters.
Do not reduce intent to informational versus commercial
SEO tools often classify keywords into broad categories such as:
informational
navigational
commercial
transactional
These categories are useful, but too crude for content prioritization.
Two informational searches can have completely different business value.
For example:
“What is SEO?”
and:
“How to find missing SEO content opportunities?”
Both are informational.
But the second query describes a concrete task performed by someone actively working on SEO.
If your product helps users discover content opportunities, that query has far stronger product relevance.
Intent should therefore be evaluated on at least two dimensions:
What is the searcher trying to accomplish?
and:
How closely does that job connect to the problem your product solves?
A query does not need a “buy” modifier to have strong intent.
Look for evidence of a real problem
High-intent queries often contain evidence that the searcher is trying to solve something specific.
Typical patterns include searches about:
fixing a problem;
finding something missing;
comparing alternatives;
choosing between approaches;
improving an existing process;
automating a task;
measuring performance;
reducing cost or effort;
increasing an important outcome;
replacing an existing tool or workflow.
Compare:
SEO content
with:
how to find content gaps competitors rank for
The second query provides much more information about the user's situation.
The searcher already has content, understands competitors matter, and wants to identify something missing.
That specificity is valuable.
The closer a search gets to a concrete job, the easier it becomes to create content that both satisfies the query and naturally connects to a product.
Identify where the searcher is in the problem-solving process
A useful way to evaluate intent is to think about the progression from awareness to action.
A searcher may move through several stages.
Understanding
The user is learning about a concept.
Examples:
what is content gap analysis
what is search intent
what is topical authority
These queries can generate awareness, but usually indicate weak immediate intent.
Diagnosing
The user knows there is a problem and wants to understand it.
Examples:
why is organic traffic declining
how to find missing keywords
why competitors rank for more keywords
This is stronger because the search is connected to an active problem.
Solving
The user wants a method for completing a task.
Examples:
how to find content gaps
how to prioritize SEO topics
how to identify competitor keywords
These searches often make strong content opportunities because the user has moved from learning to doing.
Evaluating
The user is comparing approaches, tools, or alternatives.
Examples:
best content gap tools
Ahrefs content gap alternatives
best SEO research software
manual keyword research vs AI SEO tools
This is usually stronger intent again.
Acting
The user is ready to choose or use a solution.
Examples:
SEO content research software pricing
content gap tool free trial
SEO research platform demo
These queries are closest to a direct conversion.
The important point is that intent exists on a spectrum.
Content strategy becomes more useful when you understand where each topic sits on that spectrum.
Measure business relevance separately from search volume
High intent only matters if the intent is relevant to your business.
Suppose you sell SEO research software.
A keyword such as:
how to become an SEO consultant
may have healthy search demand and a clearly defined user goal.
But your product may have little direct relevance to that goal.
Meanwhile:
how to find keywords competitors rank for
may have lower volume but sit directly inside the workflow your product supports.
That makes it strategically more valuable.
When evaluating topics, ask:
Does the query describe a problem our target customer actually has?
Can our product help solve part of that problem?
Would someone searching this topic reasonably belong to our target audience?
Is there a natural path from useful content to understanding our product?
Would ranking for this query attract the type of user we want more of?
If the answer is mostly no, strong search demand does not rescue the topic.
Traffic and relevance are different things.
Use the SERP to validate intent
The keyword itself is only part of the evidence.
Search results show how Google interprets the query.
Inspect the pages ranking for your candidate topic.
Look at:
page types;
titles;
recurring subtopics;
whether tools or software appear;
whether comparison pages rank;
whether product pages appear;
whether results are beginner-oriented or practitioner-oriented.
For example, if a query produces:
product comparison pages;
software landing pages;
detailed workflow guides;
templates;
tool recommendations;
that suggests stronger solution-oriented intent than a SERP dominated by definitions and basic educational articles.
You are not trying to blindly imitate the existing results.
You are using them to understand the job behind the search.
Look at query modifiers, but do not depend on them
Certain words can provide useful intent signals.
Examples include:
best
alternative
vs
software
tool
template
platform
solution
automate
compare
pricing
how to
improve
fix
find
analyze
But modifiers are clues, not rules.
“Best” usually indicates evaluation intent.
“Pricing” often indicates commercial intent.
But some of the strongest product-relevant searches contain no obvious commercial wording.
For example:
how to know what content my competitors have that I don't
This is an informational query grammatically.
Operationally, it describes a user with a concrete SEO problem.
That distinction matters far more than the label.
Group keywords around the underlying job
Do not prioritize every keyword independently.
Several queries often describe the same underlying intent.
For example:
how to find competitor content gaps
find keywords competitors rank for
SEO competitor gap analysis
missing keywords compared to competitors
competitor keyword opportunities
These may belong to one content opportunity.
Treating them as five separate ideas exaggerates the size of your backlog and can lead to multiple pages competing for the same intent.
Instead:
collect related queries;
identify the shared user job;
define one content opportunity around that job;
estimate the combined search demand;
decide what page type best satisfies it.
The unit you prioritize should usually be the search intent or topic, not the individual keyword.
Score opportunities using a small number of useful signals
You do not need a complicated scoring model.
A practical prioritization system can use five dimensions.
Search demand
Is there meaningful evidence that people search for this topic?
Use exact volume carefully. Consider the broader cluster of related queries rather than only one keyword.
Intent strength
How specific and consequential is the user's goal?
A concrete problem, comparison, or active task usually represents stronger intent than general curiosity.
Business relevance
How closely does the searcher's job connect to the problem your product solves?
This is often more important than raw volume.
Ability to compete
Can your site realistically create a page that deserves to rank?
Consider the strength of existing results, your own expertise, and whether you can offer something genuinely useful.
Existing coverage
Do you already have a page that satisfies this intent?
If yes, improving that page may be more valuable than creating another one.
These dimensions give you enough structure to compare opportunities without pretending SEO prioritization can be reduced to a perfect mathematical formula.
A simple prioritization example
Imagine three possible content opportunities.
Topic A: What is SEO?
Search demand: very high
Intent strength: low
Business relevance: moderate
Competition: extremely high
Topic B: How to find SEO content gaps
Search demand: moderate
Intent strength: high
Business relevance: high
Competition: moderate
Topic C: Best SEO content research tools
Search demand: lower
Intent strength: very high
Business relevance: very high
Competition: high
If you prioritized only by volume, Topic A would win.
But that may be the least attractive opportunity for a specialized SEO research product.
Topic B and Topic C attract fewer searches, but the people performing those searches are dealing with problems much closer to the product.
This is why traffic potential should be one input rather than the objective.
Do not automatically prioritize the most commercial query
There is another trap.
Teams sometimes discover that high-intent topics are valuable and then move too far in the opposite direction.
Suddenly every planned article becomes:
best X software
X alternatives
X vs Y
X pricing
best tools for X
These queries can be valuable, but a content strategy made entirely from bottom-of-funnel terms quickly becomes narrow and repetitive.
Problem-oriented content often creates a larger and more defensible search surface.
Someone searching:
how to build an SEO content plan from competitor data
may be earlier in the buying process than someone searching for software.
But the first search can still have strong intent because it describes a task that your product directly helps complete.
The goal is not to maximize commercial modifiers.
It is to find searches where the user's problem and your product's value overlap strongly.
Prioritize opportunities, not keywords
A useful SEO backlog should not look like an export from a keyword tool.
Each item should represent a clear content opportunity with evidence behind it.
For every candidate topic, you should be able to explain:
what the user is trying to accomplish;
why that intent matters;
how much search demand exists around the topic;
why the searcher is relevant to your business;
what the current search results expect;
whether your site already covers the intent;
why creating or improving this page is worth doing now.
If you cannot answer those questions, the topic probably is not ready for prioritization.
High intent is ultimately about proximity to value
SEO teams often use search volume because it is easy to measure.
Intent is harder.
It requires understanding the searcher, the problem, the SERP, the business, and the existing site at the same time.
But that additional work improves the quality of the content backlog dramatically.
The most valuable SEO opportunity is rarely simply the keyword with the most searches.
It is the topic where meaningful demand, a concrete user problem, strong business relevance, and realistic ranking potential overlap.
LUUMERA is being built around this principle: identifying content opportunities not only by whether people search for them, but by whether those searches represent valuable problems worth solving.
The result should be fewer arbitrary content ideas and a much clearer answer to the question that actually matters:
What should we create first?