Most SaaS content teams make the same mistake. They find a keyword, check the search volume, glance at the difficulty score, and then brief a writer on what to write.
Two weeks later, the article is live. And at best, three months later, it ranks on page four and drives zero pipeline.
And then they wonder what the problem could be. This is a situation a lot of SaaS teams find themselves in.
But here’s the thing: while a keyword can be real and the content decent, there could be a problem with the evaluation that happened in between. Or more accurately, in most cases, the evaluation doesn’t happen.
SaaS keyword analysis is the step between finding a keyword and building content around it. It is where you decide whether a keyword is actually worth your time, budget, and your team’s attention.
If you skip it, you will spend months producing content that will never rank or convert. But when you do it properly, every piece of content you commission has a clear reason to exist and a clear outcome to deliver.
This article shows you a complete keyword analysis framework for SaaS companies. Note every step is actionable, and every filter has a reason behind it.
Why Most SaaS Keyword Analysis Goes Wrong
It’s tempting for the SaaS team to think the tools are not the problem. But they are not. In short, SEO tools like Ahrefs, Semrush, and Google Search Console all give you accurate data.
The problem is what your team does with that data.
Most teams run keyword analysis by sorting a list by search volume, picking the keywords with the biggest numbers, and checking whether the difficulty score is below some arbitrary threshold. That approach has two serious flaws.
First, it treats all traffic as equal. For instance, a keyword with 5,000 monthly searches from a mixed audience of students, consultants, and competitors is not the same as a keyword with 200 monthly searches from heads of revenue operations at growth-stage SaaS companies. The point is that volume tells you how many people search. But it tells you nothing about who they are or what they plan to do after they click.
Second, it ignores the full picture of what makes a keyword winnable and valuable. Take difficulty scores, for example; they are averages. They do not tell you whether the specific pages currently ranking are beatable with better content and a focused internal linking strategy.
Also, they do not tell you whether the keyword maps to a page your site already has or whether you need to build something new.
All of this is why a thorough SaaS keyword analysis is critical. As a process, it fixes both of those problems. And yes, it is the foundation of the broader keyword strategy that separates SaaS companies who grow through content from those who just publish it.
The Five Dimensions of a Proper SaaS Keyword Analysis
Good keyword analysis for SaaS evaluates every keyword across five dimensions. Each one eliminates a different category of bad decision. Together, they give you a complete picture of whether a keyword is worth targeting.
Here are these five dimensions:
Dimension 1: Business Relevance
This is the first filter and the most important one. Before you look at any number, ask one question: if your ideal customer landed on a page built around this keyword, would that page have a natural connection to your product?
This means that business relevance is not about whether the keyword is tangentially related to your space. It is about whether the person searching it is a potential buyer and whether the content you produce around it gives them a reason to consider your product.
Take, for example, a SaaS company that sells customer success software might rank for “what is net promoter score.” But the thing is, while this keyword is relevant in a loose sense, most people searching it are not evaluating customer success software.
They are looking up a definition. In this case, you can say the business relevance is low, and therefore the keyword should be deprioritized in favor of terms with stronger buyer-product fit.
The idea is to rate every keyword on business relevance before anything else. You can do this by categorizing them into high, medium, or low. The goal is to drop the low ones entirely.
Dimension 2: Search Intent
Search intent is the reason behind a search query. Google has organized the web around intent, and every page that ranks on the first page got there because it matches the intent behind the keyword better than any competing page.
Four intent types matter in SaaS keyword analysis:
- Informational: the searcher wants to learn something. A typical example of these keywords is “What is customer lifetime value”.
- Navigational: the searcher is looking for a specific site or page. “HubSpot login” is an example of a navigational keyword. You cannot win these for other brands.
- Commercial: the searcher is evaluating options. A typical example of this type of questions “Best CRM for B2B SaaS.” Note this is the intent type most valuable for SaaS content.
- Transactional: the searcher is ready to take an action. “HubSpot pricing” or “Intercom free trial” are transactional.
With that said, commercial and transactional keywords are your highest priorities. And that’s because they align with buyers who are already in evaluation or decision mode. As for Informational keywords, they are valuable for building topical authority and awareness. But they require a longer path to revenue and should be secondary in most SaaS content strategies.
The bottom line is that understanding intent is especially important when you’re conducting keyword research for a B2B audience. This is critical because the same keyword can have different intent signals depending on who is searching it.
For instance, a VP of Sales and a first-year marketing coordinator might type the same query for completely different reasons.
Dimension 3: Keyword Difficulty vs. Your Domain Authority
Keyword difficulty scores tell you how competitive a keyword is based on the domain authority and backlink profiles of the pages currently ranking for it. But what they do not tell you is whether your specific domain can compete.
This means you cannot evaluate difficulty in isolation. You have to evaluate it relative to where your site stands today.
For instance, a keyword with a difficulty score of 45 is a reasonable target if your domain rating is 55. The same keyword is unwinnable in the short term if your domain rating is 20. Of course, this tells you that the number only means something in context.
For early-stage SaaS companies with limited domain authority, the smartest keyword analysis filters aggressively for low-difficulty terms with strong business relevance and commercial intent. You build authority on the terms you can win, and that authority gradually unlocks harder keywords over time.
For growth-stage SaaS companies with stronger domains, difficulty scores become less of a barrier. And yes, the evaluation shifts toward intent fit, content quality gaps in existing rankings, and the specific pages you will need to beat.
Dimension 4: Funnel Stage Fit
Every keyword belongs to a stage in the buying funnel. To start with, top-of-funnel keywords attract people who are problem-aware but not yet evaluating solutions. This is different from middle-of-funnel keywords, which attract people actively comparing options.
And lastly, we have the bottom-of-funnel keywords. This category of keywords attracts people who are ready to buy.
With all in mind, it’s critical to note that the funnel-stage fit is an essential dimension in SaaS keyword analysis. And that’s because it determines what kind of content you need to create, what CTA you put at the bottom of the page, and what success looks like for that specific piece.
As mentioned already, a top-of-funnel keyword targets someone learning about a problem. For this type of keyword, you measure the success of its content by organic traffic growth and email signups.
But that’s different for bottom-of-funnel keywords targeting prospects choosing between vendors. Essentially, for these keywords, you measure the content’s success by demo bookings and trial conversions.
This is why building a content strategy that covers all three “funnel stages” is important. An approach like this allows each stage to feed the next. You know what? This is how SaaS companies turn keyword analysis into a compounding revenue engine.
The bottom-of-funnel stage is where most SaaS teams underinvest and where the fastest pipeline gains are hiding.
Dimension 5: Ranking Feasibility
This dimension raises the practical question that closes out any keyword analysis. Given your domain authority, existing content, internal linking structure, and the quality of the content currently ranking for this keyword, can you realistically produce something better?
What a question! A simple practical step you can take to answer that question is to open Google and search the keyword. Then read the top three results.
After that, ask yourself honestly: do you have the product expertise, the customer data, and the subject matter depth to write a more useful, specific, and credible page than any of those three?
If yes, the keyword is a target. But if your answer is a menacing no, then your goal should be either to build the expertise first or find a related keyword where you can win.
Now here’s the bottom line: this assessment becomes sharper when you understand how to use keyword research tools properly. Yet the good news is that the right tool stack for SaaS teams makes it much faster to evaluate SERP quality.
Even more, they help you identify content gaps in existing results and spot the specific angle that gives your page a realistic path to the first page.
The SaaS Keyword Analysis Scoring Framework
A scoring framework turns the five dimensions above into a repeatable process. You can apply it to a list of 100 keywords in a single spreadsheet session and come out with a prioritized content roadmap.
Score each keyword on each dimension from one to three. One means low fit or high barrier. And three means strong fit or low barrier. The idea is to add the scores, and keywords with the highest totals get content first.
Business Relevance Score
- 1 point: loosely related to your space, low buyer fit
- 2 points: relevant to your category, moderate buyer fit
- 3 points: directly maps to a problem your product solves, high buyer fit
Search Intent Score
- 1 point: informational, no clear commercial connection
- 2 points: informational with commercial undertones, solution-aware audience
- 3 points: commercial or transactional, buyer in evaluation or decision mode
Difficulty vs. Domain Score
- 1 point: difficulty significantly exceeds your current domain authority
- 2 points: difficulty is slightly above your domain authority, achievable in 6 to 12 months
- 3 points: difficulty is within or below your domain authority, achievable in under 6 months
Funnel Stage Score
- 1 point: top of funnel, long path to revenue
- 2 points: middle of funnel, building toward a decision
- 3 points: bottom of funnel, direct path to pipeline
Ranking Feasibility Score
- 1 point: existing results are authoritative, comprehensive, and hard to beat
- 2 points: existing results are decent but have gaps you can exploit
- 3 points: existing results are weak, generic, or do not fully answer the query
So across these dimensions, a perfect score for a keyword would be 15. Any keyword scoring 12 or above is a strong priority. And keywords scoring between 8 and 11 are medium priority. So anything below 8 either needs more research or should be dropped.
The bottom line is to run this scoring process before you write a single brief. It probably will take 20 minutes per batch of keywords. But the good thing is that it will save you from commissioning content that was never going to rank or convert.
What to Do After You Finish Your Keyword Analysis
It’s critical to note that scoring keywords is not the final step. The output of keyword analysis is a prioritized content roadmap, and that roadmap needs to feed directly into your content production process.
So here are practical steps you should take once you have completed your keyword analysis:
Step 1: Assign Each Keyword to a Content Type
A keyword is not a brief. Once you have scored and prioritized your keywords, it’s crucial to assign each one to the content type it requires.
For example, high-intent commercial keywords need comparison pages, alternative pages, or detailed use case landing pages, while informational keywords need educational blog posts or pillar pages. As for transactional keywords, you can optimize them for product pages or pricing pages.
This means the keyword tells you what to write about. But the intent score tells you what type of page to build and what action to design the page around.
Step 2: Check for Cannibalization Before You Assign
Before you brief any new content, it’s important to check whether you already have a page targeting the same or a similar keyword.
This is important because publishing two pages targeting the same term splits your authority and confuses Google about which page to rank. Now suppose you find yourself in this case, the best thing to do is to either consolidate existing content or redirect the older, weaker page to the new one before it goes live.
Step 3: Map Keywords to Your Cluster Structure
Every keyword you target should have a clear place in your site’s content architecture. As a rule, pillar pages should cover broad topics with high search volume, while cluster pages should go deep on specific subtopics and link back to the pillar.
This architecture is what gives your keyword analysis real leverage. In a nutshell, building a keyword strategy around topical clusters means every new piece of content you publish reinforces the authority of your pillar pages and makes it easier for the next cluster article to rank fast.
Step 4: Build Internal Links at the Same Time as the Brief
Do not treat internal linking as an afterthought. When you assign a keyword to a content brief, identify the two or three existing pages that should link to the new content and the two or three new pages this content should link to. Include those links in the brief itself so the writer can build them into the structure naturally.
Internal linking is especially important for zero-volume keywords in niche B2B markets, where external backlinks are hard to acquire quickly. Strong internal linking is often the fastest way to get a new page indexed and ranking.
Keyword Analysis Is Not a One-Time Task
The biggest mistake SaaS content teams make after building a scoring framework is treating it as a project with a finish line. In reality, keyword analysis is not a project, but a recurring process.
And some of the reasons for that include buyer language evolving, new product categories emerging, your competitors publishing new content that changes what is ranking and what is beatable, amongst other things.
Another thing to note is that as your domain authority grows, it opens up keywords that were out of reach six months ago.
With all that in mind, you see why it is crucial to run a full keyword analysis review every quarter. This would mean pulling fresh data from your keyword research tools, re-scoring any keywords that have changed in difficulty or volume, and adding new keywords from GSC queries, sales call transcripts, and competitor gap reports.
The idea is to remove keywords that you have already ranked for, or that are no longer relevant to your product roadmap.
Usually, the SaaS companies that build the strongest content moats are not the ones that found the best keywords once. Yes, they are the ones built a system for continuously finding and evaluating keywords faster than their competitors do.
But here’s the thing: that system starts with a complete understanding of how to research and find the right keywords for your SaaS business. Once mastered, this can mature into a full content operation where every piece of content earns its place through analysis before a single word is written.
Do you need help with this for your SaaS business? Book a strategy call with an SEO strategist at SEO Content Guy.
