How to Do Keyword Research for SaaS: A Simple Process

Keyword research for SaaS is the process of finding the search terms that match a software product, its users, and the problems it solves.

It can help a SaaS company build pages, articles, and product content that fit real search demand across the buying journey.

Many teams start with a list of broad keywords, but SaaS SEO often works better when research follows product use cases, customer pain points, and intent.

For teams that need support with planning and execution, a B2B SaaS SEO agency can help connect keyword research with content, landing pages, and pipeline goals.

What makes keyword research for SaaS different

SaaS keywords often map to a long buying process

Software buyers may search many times before they sign up, book a demo, or start a trial.

Some searches are early-stage, such as problem-based queries. Others are late-stage, such as comparison, pricing, integration, or alternative keywords.

The product may solve more than one problem

A SaaS tool can serve several use cases, teams, and industries.

That means keyword research for SaaS should not focus on one head term only. It often needs topic clusters around workflows, features, roles, and jobs to be done.

Search intent matters more than raw volume

A broad keyword may bring traffic that does not fit the product.

A lower-volume phrase like “project management software for architects” may be more useful than a wide term like “project management.”

Many SaaS keywords have commercial value

Keywords such as “software,” “platform,” “tool,” “pricing,” “demo,” “review,” “vs,” and “alternatives” often show buying intent.

These terms can support pages that help move visitors closer to evaluation and conversion.

A simple process for SaaS keyword research

Step 1: Start with the product, not the keyword tool

Before opening any SEO platform, define the product in plain language.

List what the software does, who it helps, and which tasks it improves.

• Core product category: CRM, billing software, sales enablement platform, help desk
• Main use cases: lead scoring, invoice automation, onboarding, reporting
• Target roles: sales manager, RevOps lead, founder, HR team
• Target segments: startups, mid-market teams, agencies, healthcare clinics
• Important features: automation, dashboard, integrations, analytics, permissions

This first step creates the seed list for SaaS keyword research.

It also reduces the risk of chasing terms that look relevant but do not connect to the product.

Step 2: Turn product knowledge into seed keywords

Next, build a basic list of seed terms.

These are short phrases that describe the software category, major use cases, and buyer language.

• Category keywords: applicant tracking software, subscription billing software
• Use-case keywords: automate customer onboarding, manage recurring invoices
• Audience keywords: software for sales teams, software for finance teams
• Feature keywords: CRM with email automation, help desk with SLA reporting
• Problem keywords: reduce churn, improve lead handoff, centralize support tickets

This list does not need to be perfect.

It only needs to be broad enough to expand in later steps.

Step 3: Expand the list with keyword sources

After seed terms are ready, collect variations from several sources.

Using more than one source often reveals better language and intent patterns.

1. Search engine autocomplete
2. People Also Ask results
3. Related searches
4. Competitor title tags and page headings
5. Review sites and software directories
6. Sales calls, support tickets, and product documentation
7. SEO tools that suggest keyword ideas and SERP variations

For example, a team researching “customer support software” may find related phrases such as “help desk for small business,” “ticketing system with live chat,” “knowledge base software,” and “Zendesk alternatives.”

Step 4: Group keywords by intent

This is one of the most important parts of how to do keyword research for SaaS.

Instead of keeping one long spreadsheet of terms, sort keywords by what the searcher may want next.

• Informational intent: what is customer success software, how to reduce churn
• Commercial investigation: top customer success platforms, Gainsight alternatives, Intercom vs Zendesk
• Transactional intent: customer success software pricing, book demo customer success platform
• Navigational intent: brand terms, login pages, docs pages

Intent grouping can shape page type, content format, and call to action.

It also helps avoid trying to rank a blog post for a term that needs a product or comparison page.

How to find keywords across the SaaS funnel

Top-of-funnel keywords

These keywords often relate to problems, education, and early research.

They may bring a wider audience, but not every visitor will be ready for software evaluation.

• how to improve customer onboarding
• what causes subscription churn
• sales pipeline stages
• how to manage remote support teams

These topics can support awareness and trust.

They also work well when tied to a broader SaaS content strategy.

Middle-of-funnel keywords

These terms often show that a buyer understands the problem and is now exploring solutions.

They are often strong targets for SaaS SEO.

• customer onboarding software
• sales forecasting tools
• subscription analytics platform
• help desk software for startups

This stage may also include feature-led and role-based keywords.

Examples include “CRM for consultants” or “billing software with NetSuite integration.”

Bottom-of-funnel keywords

These keywords often show clear buying intent.

They may have lower search volume, but they can be more valuable for pipeline and signups.

• customer onboarding software pricing
• HubSpot alternatives
• Asana vs Monday
• book demo revenue intelligence platform

These terms often deserve landing pages, comparison pages, alternatives pages, and pricing support content.

They can also connect well with broader lead generation strategies for SaaS.

How to choose the right SaaS keywords

Check relevance first

The first filter should be product fit.

If a keyword does not match the software, target buyer, or business model, it may not be worth pursuing.

For example, a product built for enterprise procurement teams may not benefit from traffic around “free invoice template.”

Review search intent in the results page

Search the keyword and study the results.

If the page results are mostly list posts, a blog article may fit. If the results are mostly product pages, a commercial landing page may fit better.

This manual SERP review is a core part of SaaS keyword analysis.

Look at business value

Some keywords are easy to rank for but may not support meaningful conversions.

Others may be harder but more closely tied to demos, trials, or qualified leads.

• High business value: category, alternatives, comparison, pricing, integration keywords
• Medium business value: feature, use-case, industry, role-based keywords
• Lower business value: broad educational topics with weak product connection

Estimate competition in a practical way

Difficulty scores can help, but direct SERP review often gives better context.

Check whether the ranking pages come from major software brands, review sites, or niche competitors.

Also look at the page quality.

Some results may be strong domains with weak content, which can create an opening.

Prioritize long-tail terms

Long-tail SaaS keywords often have clearer intent and less broad competition.

They can also make it easier to build topical depth.

• Broad term: CRM software
• Long-tail term: CRM software for real estate investors
• Broad term: onboarding software
• Long-tail term: employee onboarding software for distributed teams

Keyword buckets every SaaS company should review

Category keywords

These define the main market the product belongs to.

Examples include “expense management software,” “data enrichment platform,” or “email verification tool.”

Use-case keywords

These explain what the software helps users do.

Examples include “automate invoice approval,” “track product usage,” or “manage employee reviews.”

Feature keywords

These focus on a product capability.

Examples include “CRM with calling,” “analytics dashboard software,” or “survey tool with logic branching.”

Audience and industry keywords

These connect the product to specific buyers.

Examples include “project management software for architects” or “EMR for behavioral health clinics.”

Comparison and alternatives keywords

These are common in SaaS buying journeys.

Examples include “Mailchimp alternatives,” “Rippling vs Deel,” or “best CRM for small sales teams.”

They align closely with evaluation behavior and can support content mapped to the customer journey for B2B SaaS.

Integration keywords

Many buyers search for software that works with existing tools.

Examples include “CRM with Slack integration” or “billing software for QuickBooks.”

Pricing and branded intent keywords

These include searches tied to cost, plans, free trial, login, and brand-specific actions.

They often need dedicated pages and clean site architecture.

How to build a keyword map for SaaS content and pages

Assign one primary topic to one main page

After research is complete, map keyword clusters to page types.

This helps reduce overlap and supports clear internal linking.

• Homepage: brand and broad category positioning
• Product pages: category, feature, and use-case terms
• Solutions pages: industry, role, or team-based queries
• Comparison pages: vs and alternatives keywords
• Blog articles: educational and early-stage problem queries
• Integration pages: partner and workflow searches

Cluster closely related terms together

One page can rank for many close variants when intent is the same.

For example, “customer onboarding software,” “client onboarding platform,” and “onboarding tools for SaaS” may belong in one cluster if the search results overlap.

Separate terms with different intent

Not all related keywords should live on one page.

“What is customer onboarding” and “customer onboarding software pricing” usually need different pages because the intent differs.

Simple example of SaaS keyword research in practice

Example product: subscription billing software

Start with core phrases tied to the category and product jobs.

• Category: subscription billing software
• Use cases: automate recurring billing, manage failed payments, track MRR
• Features: revenue dashboard, dunning management, invoice automation
• Audience: SaaS finance teams, founders, RevOps teams

Expand into keyword clusters

• Informational cluster: how recurring billing works, what is dunning management
• Commercial cluster: subscription billing platforms, billing software for SaaS
• Feature cluster: subscription billing software with revenue recognition
• Comparison cluster: Chargebee alternatives, Stripe Billing vs Chargebee
• Integration cluster: subscription billing software for QuickBooks

Map those clusters to page types

The category cluster may fit a product landing page.

The informational cluster may fit blog content or resource pages.

The comparison cluster may fit dedicated comparison pages.

Common mistakes in SaaS keyword research

Targeting only high-volume head terms

Broad terms can look attractive, but they may be too vague or too competitive.

SaaS SEO often gains traction faster through focused long-tail and mid-funnel terms.

Ignoring buyer language

Internal product language does not always match search behavior.

Teams may say “revenue operations orchestration,” while buyers search for “sales forecasting software” or “pipeline analytics tool.”

Skipping intent analysis

A keyword list without SERP review can lead to weak targeting.

Intent should shape the content type from the start.

Mixing too many topics on one page

When a page tries to rank for several unrelated intents, clarity drops.

Both search engines and users may struggle to understand the page focus.

Not updating research over time

SaaS markets change as products, categories, and buyer terms evolve.

Keyword research may need regular review when a company adds features, enters new segments, or changes positioning.

A simple keyword research workflow for SaaS teams

Weekly or monthly workflow

1. Review product updates, sales notes, and customer questions
2. Add new seed terms from features, use cases, and target roles
3. Expand those seeds with SERP data and SEO tools
4. Group keywords by intent and topic cluster
5. Score each cluster by relevance, intent, and business value
6. Map the top clusters to content or landing pages
7. Track rankings, conversions, and content gaps

What to keep in the keyword sheet

• Keyword or cluster name
• Search intent
• Page type
• Target persona
• Use case or feature fit
• Priority level
• Notes on SERP patterns

Final thoughts on how to do keyword research for SaaS

Keep the process simple and tied to the product

How to do keyword research for SaaS becomes clearer when the work starts with product fit, buyer needs, and search intent.

The goal is not to collect the biggest list of terms. The goal is to find the topics that match the software and support useful pages.

Focus on relevance, intent, and coverage

Strong SaaS keyword research often includes category terms, feature queries, use-case phrases, comparison keywords, and long-tail commercial searches.

When those areas are mapped well, a SaaS site can cover the market in a more complete and practical way.

Build for the full journey

Some visitors need education. Others are comparing tools or looking for pricing and integrations.

A balanced keyword strategy can support each stage and give the content program a clearer path from traffic to qualified demand.