SaaS Keyword Research: A Practical Framework For Finding Keywords That Generate Leads
SaaS keyword research is the process of identifying the search terms your buyers use at every stage of the buying cycle and building a content strategy around them.
Most teams know how to run the process. Open Semrush or Ahrefs, filter by volume and difficulty, pull a list of 300 keywords, and wonder why six months of publishing hasn't moved the pipeline needle. The flaw usually comes from how you prioritise the content.
Which keywords are worth pursuing at your current domain authority? Which ones will attract the right buyers rather than the wrong traffic? Which content format does the SERP actually reward?
These are the questions that determine whether keyword research gets results.
This guide covers the full SaaS keyword research process, from building your seed list to prioritising what gets briefed first—with a focus on the decisions that matter most.
What is SaaS keyword research?
SaaS keyword research is the practice of identifying, categorising, and prioritising the search queries that potential customers use when researching problems your product solves—and using that intelligence to guide content creation, page optimisation, and your SaaS SEO strategy.
What makes keyword research different for SaaS companies?
Keyword research for a B2C travel website or an ecommerce store is relatively straightforward: find what people search when they want to buy something, rank for it, convert the click. SaaS SEO doesn't work like that.
It differs from generic keyword research in several ways:
The buying cycle is longer: A B2B buyer might read eight pieces of content over three months before requesting a demo. A single keyword rarely closes a deal, which means your SaaS keyword strategy has to account for every stage of that journey, not just the bottom.
The buyer is a professional evaluating options: They're reading comparison articles, vetting alternatives, and building a business case. The keywords they use are specific, functional, and often low in volume.
The highest-revenue keywords rarely have the highest search volume: A term with 150 monthly searches from buyers in active evaluation will outperform a 5,000-search informational term almost every time.
Your product can become a keyword asset: Free tools, templates, calculators, and integration pages rank for high-intent queries, earn links organically, and convert visitors without sales involvement.
As a fractional SaaS SEO strategist, keyword research is my bread and butter. I can tell you right now: few sectors are as primed for success as SaaS—so long as you don’t treat it like a generic organic strategy.
Why strategic SaaS keyword research is critical for success
Done well, SaaS keyword research tells you what to build before you build it. That sounds obvious until you're six months into a content plan and realise half the archive targets topics your buyers never search.
Real benefits of effective SaaS keyword research include:
It prevents wasted content spend. Every piece of content costs time and money. Keyword research is the filter that stops you commissioning content for audiences who will never convert.
It connects organic search to commercial outcomes. Traffic is not the goal—trials, demos, and signups are. A keyword strategy built around that distinction produces a fundamentally different content plan than one optimised for volume.
It reveals how your buyers describe their problems. That language belongs everywhere: landing pages, ad copy, sales decks, onboarding emails. Keyword research is market research with a search volume attached.
For B2B SaaS companies, SEO can deliver up to 702% ROI when done correctly—with a seven-month break-even time. Success lies in how you approach and execute your keyword strategy.
The SaaS keyword hierarchy
Not all SaaS keywords serve the same purpose. Treating them as a single undifferentiated list is how teams end up targeting the wrong terms at the wrong stage and wondering why nothing converts.
Informational keywords
Also known as problem-aware searches, these are top-funnel queries like: "how to reduce churn," "what is revenue recognition," and "best way to onboard enterprise clients." They’re high volume, low direct conversion rate, and foundational for topical authority.
A growing proportion of informational queries are now answered by AI Overviews before a user ever clicks. These keywords are still worth targeting because they build authority and influence buyers earlier in the cycle, but traffic returns are less predictable than they were two years ago.
Commercial keywords
These are evaluation-stage searches from buyers actively researching options. Split these into two tiers:
Tier A ("best project management software," "top CRM tools") targets buyers who don't yet have a shortlist. Higher volume, harder to rank for, lower conversion rate.
Tier B ("Asana vs Monday," "Notion alternatives," "HubSpot competitors") targets buyers who already know the category and are narrowing their options. Lower volume, easier to rank for, significantly higher conversion rate. This is the tier most companies under-invest in.
Transactional keywords
These are brand and conversion-intent searches. They come from users searching pricing pages, free trial terms, and demo request queries. Transactional keywords represent the lowest volume of any category and the highest-intent visitors on your site. These pages need to convert, not just rank.
Integration and use-case keywords
The most consistently overlooked category, integration and use-case keywords like "CRM for architecture firms," "Slack integration for Asana," and "invoicing software for freelance designers" are commercially valuable, low competition, and highly specific.
A SaaS with 20 integrations and 10 distinct customer segments has potentially hundreds of rankable pages in this category alone.
Branded keywords
Searches that include your product or company name. "[Your product] pricing," "[Your product] review," "[Your product] vs [Competitor]." Low volume, but the highest-intent traffic that will ever land on your site—these are buyers who already know you exist and are doing final due diligence.
Don't assume you own them. Competitors bid on your brand terms in paid search. Review platforms actively target "[Your product] alternatives" to intercept buyers at peak intent. If you haven't built those pages yourself, someone else is controlling that conversation.
| Keyword type | Funnel stage | Typical content format | Conversion likelihood |
|---|---|---|---|
| Informational | TOFU | Blog post, guide | Low |
| Commercial Tier A | MOFU | Listicle, comparison post | Medium |
| Commercial Tier B | BOFU | Versus page, alternatives page | High |
| Transactional | BOFU | Versus page, review page, pricing page | Very high |
| Integration / use case | MOFU–BOFU | Landing page, blog post | High |
| Branded | BOFU | Versus page, review page, pricing page | Very high |
How to do keyword research for SaaS: A step-by-step process
When I’m building a SaaS SEO plan, this is the process I use with every new client, regardless of their stage or category.
Step 1: Start with your buyer's problems, not your product features
The most common mistake in SaaS keyword research is building a feature-first list. Your buyers don't search for your features—they search for their problems.
The shift looks like this:
Start with the pain: "manual reporting is eating my team's time," "we keep losing deals to competitors we've never heard of"
Move toward the solution category: "automated reporting software," "competitive intelligence tools"
Work toward product-aware terms: "best reporting software for agencies," "Klue alternatives"
The best sources for this language aren't keyword tools—they're sales call recordings, support tickets, onboarding surveys, and community forums like Reddit and G2 reviews. These tell you exactly how buyers describe their problems before they know your product exists.
Step 2: Build your seed keyword list
Seed keywords are the starting point, not the destination. Before opening a keyword tool, build a list of 20–40 seeds that covers:
Product category terms: What your product is ("project management software," "customer data platform")
Problem-descriptor language: What your buyers are trying to fix ("reduce customer churn," "automate sales reporting")
Job-to-be-done phrases: What outcome they're after ("close deals faster," "forecast revenue accurately")
Competitor brand names: Direct competitors your buyers are already evaluating
Integration terms: Tools your product connects with ("Salesforce integration," "Slack + Asana")
Resist the urge to filter or prioritise at this stage. The goal is coverage across keyword types and buyer awareness levels.
Step 3: Expand and validate with keyword tools
Feed your seed list into your tools of choice and expand from there.
Ahrefs or Semrush: For competitor gap analysis, volume data, and keyword difficulty. Run your top three competitors through Site Explorer and identify keywords they rank for that you don't.
Google Search Console: For existing opportunity–pages already ranking in positions 5–15 that a targeted refresh could push onto page one.
AnswerThePublic or Reddit: For problem-language discovery and question-based queries your buyers are actually asking.
When filtering, don't over-index on volume and difficulty. CPC is a more reliable signal of commercial intent than volume—if advertisers are paying £8 a click for a keyword, buyers who convert are behind it. SERP composition matters too, which leads to the next step.
Step 4: Analyse the SERP before committing
Keyword difficulty scores are calculated from domain authority averages. They don't tell you whether you can actually rank. The SERP does.
Before committing to a keyword, check:
Who's ranking: If the top five results are HubSpot, Salesforce, and Zapier, a DA-25 site isn't ranking there regardless of what the difficulty score says.
What's ranking: A keyword where page one is dominated by product pages is a different challenge than one where blog posts rank. Match your content type to what Google is already rewarding.
What's rankable: Thin content, outdated posts, and low-authority sites on page one are your opening. A difficulty score of 45 from a weak SERP is a better opportunity than a score of 30 from a strong one.
Step 5: Map keywords to funnel stage and content type
Every keyword on your list needs a designated home before it goes on a brief.
Keyword-to-page mapping does three things: it prevents cannibalisation, clarifies the right content format, and forces the decision about whether to create something new or optimise what already exists.
Score each keyword across three dimensions:
Intent fit: Does this keyword attract buyers your product actually solves for?
Competitive realism: Can you realistically rank for this given your current domain authority?
Conversion potential: Is there a plausible path from this keyword to a trial, demo, or signup?
Keywords that score well across all three go to the top of the brief queue. Keywords that score well on one or two have a place in the strategy eventually, just not first.
How to prioritise your SaaS keyword list
Having 400 filtered keywords is not a keyword strategy. It's a blank canvas. The question is which ones get briefed first.
I use a simple scoring approach I call the Pipeline Priority Score.
Rate each keyword 1–3 across four criteria:
| Criteria | What you're asking |
|---|---|
| Intent fit | Does this keyword attract a buyer your product actually helps? |
| Competitive realism | Can you realistically rank in the next 6–12 months, given your current domain authority? |
| Conversion potential | Is there a plausible path from this keyword to a trial, demo, or signup? |
| Content leverage | Can one piece of content serve this keyword and support related cluster pages, or is it a dead end? |
Score interpretation:
10–12: Brief it now
7–9: Medium-term priority
Below 7: Deprioritise unless there's a specific strategic reason–building topical authority in a cluster, for example
The value isn't in the scores themselves. It's in having a repeatable, defensible rationale for content decisions that you can explain to a stakeholder in thirty seconds.
How SaaS keyword research varies across growth stages
The right keyword strategy at one stage actively hurts you at another. A brand-new domain targeting high-volume informational terms is wasting resources. A site with 100K monthly visitors ignoring broad educational content is leaving authority on the table.
Early stage (under 5K monthly organic visitors)
When it comes to SEO for SaaS startups, the key is to prioritise BOFU. Competitor alternative pages, comparison pages, and specific use-case landing pages are easier to rank for, attract buyers already in evaluation mode, and convert at rates that justify the investment. Avoid high-volume informational terms—you don't have the domain authority to rank for them and they won't convert even if you did.
Growth stage (5K–50K monthly visitors)
This is where topic clusters start compounding. You have enough authority for supporting cluster content to gain traction, so expand systematically into problem-aware informational keywords. Build out integration pages and category-specific landing pages. The pillar-and-cluster model makes sense to implement here—not before.
Scale stage (50K+ monthly visitors)
Broad informational coverage becomes viable and worthwhile at this stage. Product-led keyword assets–free tools, calculators, templates—earn links organically and convert at rates editorial content rarely matches. This is also the stage where investing in data-led content and original research pays back through authority and backlinks.
Common SaaS keyword research mistakes
Most SaaS keyword research mistakes aren't technical errors–they're strategic accidents. The process was followed correctly, but the wrong decisions were made upstream. These are the five I see most consistently:
Targeting keywords your buyers never search: Feature-first keyword lists attract people researching the category, not people evaluating your product. Start with problems and build your SaaS SEO roadmap from there.
Using difficulty scores as a proxy for winnability: A difficulty score is a domain authority average, not a verdict on your chances. Always check the actual SERP—weak incumbents and outdated content are your real signal.
Ignoring cannibalisation until rankings plateau: Two pages targeting the same keyword split equity and confuse Google about which one to rank. Map keywords to pages before you publish, not after performance drops.
Treating research as a one-time project: Your competitors publish new content, your product adds features, and buyer language shifts. A keyword strategy that hasn't been revisited in twelve months is already out of date.
Optimising for traffic when the goal is pipeline: High-volume keywords that attract the wrong audience produce impressive dashboards and disappointing revenue. Every keyword on your list should have a credible path to conversion.
Grow faster with fractional SEO support for SaaS teams
SaaS keyword research isn't a discovery exercise—it's a decision-making process. The output shouldn't be a spreadsheet of filtered terms. It should be a prioritised list of content opportunities with a clear line to commercial outcomes. Get that right and the rest of the strategy has something solid to build on.
If you're working on your SaaS SEO strategy and want to work through it with someone who's done it before, get in touch for a free chat about your business.
