SaaS Keyword Research: How to Find Keywords That Drive Signups

For SaaS companies, organic search can become one of the most valuable sources of long-term growth. But getting more website traffic is not enough. If the people arriving through Google are not interested in your product, higher rankings may have little impact on revenue.

This is why SaaS keyword research needs to go beyond finding popular search terms. The real goal is to identify the words and phrases your potential customers use when they are looking for solutions, comparing options, solving problems, or deciding whether to sign up.

This guide explains how to conduct SaaS keyword research, how to judge keyword quality, and how to turn your findings into an SEO strategy focused on business results.

Key Takeaways

• Focus on customer intent, not just search volume. The best SaaS keywords match your audience, their problems and their buying journey.
• Target every stage of the customer journey. Combine awareness, consideration and decision-stage keywords to build a complete search strategy.
• Prioritise commercial and long-tail keywords. More specific searches can attract fewer visitors but often bring more relevant prospects and higher conversion potential.
• Map keywords to the right pages. Match search intent with product pages, feature pages, comparison content, industry pages and educational resources.
• Create content that supports conversions. Give users useful answers and guide them naturally towards demos, trials or signups.
• Measure business outcomes. Track leads, signups and conversions alongside rankings and organic traffic.
• Prepare for AI-powered search. Optimise content for conversational discovery, AEO and GEO while maintaining a strong traditional SEO foundation.
• Treat keyword research as an ongoing process. Use performance data, customer insights and changing search behaviour to continuously refine your strategy.

What is SaaS Keyword Research?

SaaS keyword research is the process of identifying and analysing search queries that potential customers use when looking for software, solutions, information or answers related to your product.

For example, a project management SaaS platform might discover keywords such as:

• “project management software”
• “project management tools for small business”
• “how to manage projects remotely”
• “Asana alternatives”
• “best project management software”
• “free project management software”

These keywords may look similar, but they represent very different levels of intent.

Someone searching for “how to manage projects remotely” may still be researching a problem. Someone searching for “Asana alternatives” is actively comparing products. A person searching for a specific software category may be much closer to signing up.

Effective SaaS keyword research identifies these differences rather than treating every keyword as an opportunity to generate traffic.

Step 1: Start With Your Ideal Customer

Before you begin SaaS keyword research, start by understanding the people you actually want to attract. Your ideal customer should influence every keyword you choose because search behaviour varies significantly between industries, company sizes and job roles. For example, a founder searching for “CRM software for startups” has a different need from an enterprise sales director searching for “enterprise CRM platform”. Both users may need a CRM, but their priorities, budgets and buying journeys are different.

Define Your Ideal Customer Profile

Start by creating a simple customer profile that answers the following questions:

• Who are they? Founder, marketing manager, HR director, operations manager, IT manager, etc.
• What type of business do they work for? SaaS, retail, F&B, education, hospitality, B2B, professional services, etc.
• What is the company size? Small business, mid-market or enterprise.
• What problem are they trying to solve?
• What alternatives are they currently using?
• What would make them consider switching?
• What features or outcomes matter most to them?

You can then turn these answers into potential keyword themes. For example, if your SaaS product helps restaurants manage reservations, your audience may search for “restaurant booking software”, “online reservation system for restaurants” or “restaurant reservation management software”.

The important point is that you should not begin with the question, “Which keywords have the most searches?” Instead, begin with “What would my ideal customer search when they need a solution like mine?”

Build A Customer-To-Keyword Map

A simple customer-to-keyword map can help you connect audience needs with search opportunities:

This exercise gives your research a business context before you start looking at search volume, keyword difficulty or competitors.

Step 2: Map Keywords To The Customer Journey

Once you understand your ideal customer, organise keywords according to where the searcher is in the buying journey. This matters because someone discovering a problem will usually search differently from someone who is ready to purchase software.

Understand The Three Main Intent Stages

A practical SaaS keyword strategy can divide searches into three main stages:

Awareness: The user is experiencing a problem and looking for information.

Examples:

• “how to manage remote teams”
• “how to reduce customer support response time”
• “ways to automate invoices”

Consideration: The user understands the problem and is exploring potential solutions.

Examples:

• “customer support software”
• “best project management tools”
• “invoice automation software”

Decision: The user is comparing products, evaluating pricing or looking for a specific provider.

Examples:

• “best customer support software for SaaS”
• “[Competitor] alternatives”
• “customer support software pricing”
• “[Product] free trial”

Generally, decision-stage keywords have stronger immediate conversion potential. However, awareness and consideration keywords still matter because they allow your brand to enter the customer journey earlier.

Assign Commercial Value To Each Stage

You can use a simple scoring system to prioritise your opportunities:

These scores are not universal SEO rules. Instead, they give your team a consistent way to compare opportunities.

For example, if a keyword receives 5,000 monthly searches but has an intent score of 1/5, it should not automatically outrank a highly relevant keyword with 500 searches and an intent score of 5/5.

Step 3: Build Keyword Ideas From Your Product

Your SaaS product can provide a strong starting point for keyword discovery because its features, use cases and benefits naturally reflect the problems your customers want to solve.

Start with your core product category. Then expand your research into features, use cases, industries, customer types, problems and desired outcomes.

Create Keyword Categories

Suppose your SaaS product provides inventory management software for retailers. You could build your initial keyword list like this:

This approach is more effective than generating hundreds of random keyword variations because every keyword remains connected to a real customer need.

Expand Your Keyword Universe

Once you have your initial categories, use keyword research platforms, Google's search suggestions, related searches, competitor websites and customer conversations to expand the list.

Pay particular attention to phrases containing words such as:

• software
• platform
• tool
• solution
• system
• for [audience]
• for [industry]
• alternative
• pricing
• demo
• free trial
• integration
• automation

These modifiers often reveal stronger commercial intent.

Step 4: Research Your Competitors

Your competitors can reveal keyword opportunities that you may not find by starting with your own product. However, competitor research should involve more than copying the keywords appearing on another website.

Instead, investigate which topics, pages and search intents generate visibility for competing brands.

Identify Competitor Keyword Gaps

Start by choosing three to five relevant competitors. For each one, review:

• Product and feature pages
• Industry and use-case pages
• Blog categories
• Comparison pages
• Integration pages
• Pricing content
• Resource centres
• Frequently asked questions

Then look for topics they cover that your website does not.

For example, imagine three competitors consistently rank for:

• “CRM for small businesses”
• “CRM for sales teams”
• “CRM with WhatsApp integration”
• “Sales CRM pricing”

If your website only has a generic “CRM software” page, you may have several opportunities to build more targeted pages.

Do Not Copy Competitors Blindly

A competitor ranking for a keyword does not automatically mean you should target it.

First, ask:

1. Is the keyword relevant to our product?
2. Does the searcher match our target customer?
3. Can we provide a better or more useful answer?
4. Can our product genuinely solve the problem?
5. Does the keyword have a realistic path to conversion?

If the answer to most of these questions is yes, add the keyword to your opportunity list.

Step 5: Analyse Search Intent Carefully

Search intent tells you what someone expects to find when they search for a particular phrase. Understanding it is essential because Google generally tries to show pages that satisfy the user's underlying need.

For example, “what is CRM software” has a different intent from “best CRM software for small business”. The first search suggests education, while the second suggests evaluation.

Analyse The Search Results

For each important keyword, search for the term manually and examine the first page.

Look at:

• The type of pages ranking
• The format of the content
• The brands appearing repeatedly
• Whether product pages or articles dominate
• Whether comparison websites appear
• The questions shown in search features
• Whether the results match your intended page

If the results for “best CRM for startups” are mostly comparison guides, creating a product page targeting that exact query may not be the best approach.

On the other hand, if the results for “CRM software pricing” are mainly pricing pages, your own pricing page may be a better target.

Match Intent To Content Type

Use this basic framework:

The goal is not to force a keyword onto a page. Instead, create the page that best satisfies what the searcher is trying to accomplish.

Step 6: Find Long-Tail Keywords

Long-tail keywords are more specific searches, often containing several words. They usually have lower search volume than broad terms, but they can provide valuable opportunities because the searcher's need is clearer.

For example:

“CRM software”
“CRM software for small businesses”
“CRM software for small B2B sales teams”

The third search has a much narrower audience. However, that audience may be significantly more relevant to a SaaS company serving small B2B sales teams.

Use Keyword Modifiers

Look for combinations such as:

Audience + product

“HR software for startups”

Industry + product

“hotel management software”

Problem + solution

“software to automate employee onboarding”

Feature + product

“CRM with WhatsApp integration”

Location + product

“restaurant booking software in Singapore”

Competitor + alternative

“HubSpot alternatives for small business”

These combinations can reveal valuable keyword niches.

Calculate The Potential Value

Imagine you discover two keywords:

The broad keyword has much greater search volume, but the more specific keyword could generate almost the same number of conversions with only 8% of the traffic.

The numbers are illustrative rather than guaranteed. Actual conversion rates will depend on the search intent, SERP, landing page, brand strength and offer.

The lesson is simple: do not confuse search volume with business value.

Step 7: Evaluate Keywords Based On Business Value

After collecting keywords, you need a consistent way to decide which ones deserve attention first.

A useful approach is to score each keyword across several dimensions.

Use A Keyword Opportunity Score

For example, score each factor from 1 to 5:

• Relevance: Does the keyword closely match your product?
• Intent: Does the search suggest meaningful purchase interest?
• Conversion potential: Could this visitor reasonably become a lead or signup?
• Competition: How realistic is it for your website to compete?
• Strategic value: Does the topic support an important product or business priority?

You could calculate a simple average:

Keyword opportunity score = (Relevance + Intent + Conversion Potential + Strategic Value + Competition Score) ÷ 5

For competition, reverse the scoring so that easier keywords receive a higher score.

For example:

A keyword scoring 22/25 could deserve greater attention than one scoring 15/25, even if the second keyword has more monthly searches.

Prioritise By Business Impact

A useful priority system is:

Priority 1: High relevance + strong commercial intent + realistic competition

Priority 2: Strong relevance + moderate intent + useful supporting opportunity

Priority 3: Broad informational topics that support authority and topical coverage

This prevents your content team from spending most of its time chasing keywords that produce traffic but little commercial value.

Step 8: Connect Keywords To The Right Page

Once you have prioritised your keywords, map them to the pages you want to create or optimise.

This process is often called keyword mapping. It prevents different pages from competing for the same primary topic and creates a more organised website structure.

Build A Keyword Map

For example:

The primary keyword should describe the main topic of the page, while secondary keywords should add context rather than create separate pages unnecessarily.

Avoid Keyword Cannibalisation

If five pages all target “project management software”, search engines may struggle to understand which page should rank.

Instead, give each page a distinct purpose.

For example:

• Product page → “project management software”
• Industry page → “project management software for agencies”
• Comparison page → “[Competitor] alternatives”
• Blog → “how to manage projects effectively”

This creates a clearer path for both users and search engines.

Step 9: Create Content That Moves Users Towards Signup

Keyword research only creates value when you turn it into useful content.

Every page should have a clear purpose and a logical next step. However, that does not mean every article should aggressively sell your software.

Match The CTA To Search Intent

A person reading an educational article may not be ready to start a trial immediately. Instead, offer a relevant next step.

For example:

Informational article: Read a related guide → explore a relevant feature

Consideration page: Compare solutions → view product features

Commercial page: Explore pricing → start a free trial

Product page: See how it works → sign up or request a demo

This approach creates a smoother customer journey.

Think Beyond Rankings

A high-ranking page can still perform poorly if the visitor cannot understand what to do next.

Review each important page and ask:

• Does the headline immediately address the searcher's need?
• Does the content answer the question clearly?
• Does it explain the problem and solution?
• Does it demonstrate why the product is relevant?
• Is the CTA visible and useful?
• Does the page build trust?
• Is there a logical next step?

The best SaaS SEO content connects search intent → useful information → product relevance → action.

Step 10: Measure Signups, Not Just Rankings

Finally, measure whether your keyword strategy contributes to actual business growth.

Rankings and organic traffic are useful indicators, but they are not the end goal. If a page receives thousands of visitors but produces no meaningful leads or signups, you need to understand why.

Track The Full Conversion Journey

At minimum, monitor:

• Organic impressions
• Organic clicks
• Click-through rate
• Organic landing-page sessions
• Product-page visits
• Free-trial starts
• Demo requests
• Signups
• Conversion rate
• Qualified leads
• Revenue or pipeline influenced by organic search

For example, suppose two pages generate the following results:

Page A attracts five times more traffic, but Page B generates 67% more signups.

This tells you that Page B is attracting a more commercially valuable audience.

Use The Data To Improve Your Strategy

Once you have enough data, look for patterns.

If certain keyword groups consistently generate signups, create more content around those topics. If informational pages attract traffic but rarely generate product engagement, improve internal linking and calls to action.

You can also identify pages that rank well but have weak click-through rates, pages that receive strong traffic but poor conversions, and pages that convert well but need more visibility.

Over time, this creates a feedback loop:

Research → Create → Rank → Convert → Measure → Improve → Research Again

That continuous process is what turns SaaS keyword research from a one-off SEO exercise into a sustainable acquisition strategy.

How AI Is Changing SaaS Keyword Research

AI is changing how people search for information, compare products and discover software. Instead of entering several short searches into Google, users can now ask AI platforms such as ChatGPT, Gemini, Perplexity and Google's AI-powered search experiences more detailed questions and receive a direct answer.

For SaaS companies, this creates both an opportunity and a challenge. Traditional SEO still matters, but visibility is no longer limited to appearing in a list of blue links. Your brand also needs to become understandable, credible and useful enough to be referenced when AI systems answer questions about your industry or product category.

As a result, modern SaaS keyword research should consider not only what people type into search engines, but also the questions, comparisons and problems they may express in conversational searches.

Search Behaviour Is Becoming More Conversational

Traditional keyword research often focuses on relatively short phrases such as:

• “CRM software”
• “project management tools”
• “HR software”
• “hotel booking system”

However, users can now ask much more specific questions, such as:

• “What is the best CRM for a small B2B sales team?”
• “Which project management software is easiest for a remote team?”
• “What should a growing SaaS company look for in HR software?”
• “Which hotel booking systems integrate with major OTAs?”

These longer questions reveal more context. They tell you what the user wants, who they are, what problem they are facing and sometimes what criteria they will use to make a decision.

That makes conversational searches particularly useful for understanding customer needs.

Expand Keyword Research Into Question Research

When conducting SaaS keyword research, do not limit your research to traditional keyword variations. Build a list of questions that your target audience might ask before, during and after considering a purchase.

You can organise these questions into several categories:

These questions can become article topics, FAQs, product-page sections, comparison content and supporting content for your main commercial pages.

Use AI To Expand Your Research, Not Replace It

AI can help SEO teams generate ideas quickly, but it should not replace keyword data or customer research.

For example, you could give an AI tool your product category, target audience and key features, then ask it to identify potential questions customers might ask.

Suppose your company sells inventory management software for retailers. AI might help you brainstorm questions such as:

• How can retailers reduce stockouts?
• What is the best inventory software for small retailers?
• How does real-time inventory tracking work?
• Can inventory software integrate with Shopify?
• How much does inventory management software cost?
• What should retailers consider when switching inventory systems?

You can then validate these ideas using keyword research platforms, search results, competitor analysis and your own customer data.

This distinction is important: AI is excellent for expanding the idea pool, while SEO research validates which ideas are worth pursuing.

Look For Topics AI Platforms Need To Understand

AI systems need context to provide useful answers. Therefore, SaaS companies should make it easy for search engines and AI platforms to understand:

• What your company does
• Who your product serves
• Which problems it solves
• Which industries you support
• Which features you offer
• Which integrations are available
• How your product compares with alternatives
• What makes your solution different

For example, a page that simply says “We provide powerful CRM software” gives relatively little context.

A stronger page might clearly explain that the product is a CRM platform designed for small B2B sales teams, with lead management, sales automation, reporting and specific integrations.

The more clearly your website communicates these relationships, the easier it becomes for systems to interpret your business.

Build Topic Clusters Around Customer Problems

AI-driven search makes broad topical coverage increasingly useful.

Rather than publishing isolated articles around individual keywords, create connected groups of content around important customer problems and topics.

For example, a SaaS company offering employee onboarding software might build a topic cluster around employee onboarding.

Core Commercial Page

Employee Onboarding Software

This page targets the main commercial opportunity and explains the product.

Supporting Content

You could then create related resources such as:

• How to improve employee onboarding
• Employee onboarding checklist
• How to automate employee onboarding
• Employee onboarding best practices
• Common employee onboarding challenges
• How long should employee onboarding take?
• Employee onboarding software comparison
• Employee onboarding metrics to track

Each article can link naturally back to the main product page while also connecting with other relevant resources.

This approach creates a stronger topical relationship between your pages and gives users multiple ways to discover your product.

Optimise Content For Direct Answers

AI-powered search often favours information that can be understood quickly and used to construct a clear answer.

That does not mean every page should be reduced to short answers. Instead, structure your content so important information is easy to identify.

Use:

• Clear headings
• Short paragraphs
• Descriptive subheadings
• Bullet points
• Tables where they genuinely improve understanding
• Definitions for technical terms
• Direct answers to common questions
• Relevant examples
• Supporting evidence
• Clear explanations of product capabilities

For example, if your page discusses “What is SaaS CRM software?”, answer the question directly before moving into more detailed information.

This makes the content easier for people to scan and easier for search systems to interpret.

Strengthen Your Brand's Authority And Trust

Visibility in AI-powered search is not simply a matter of inserting more keywords into your content. Your brand also needs to demonstrate credibility.

For SaaS companies, this means creating content that shows genuine expertise and provides useful information rather than publishing large volumes of generic AI-generated articles.

Consider strengthening your website with:

• Original research
• First-hand insights
• Customer examples
• Case studies
• Expert commentary
• Clear author information
• Product documentation
• Industry-specific resources
• Transparent company information
• Accurate product comparisons

For example, if your SaaS company publishes an article about customer retention, original data from your own customer base can provide much more value than repeating general statistics found elsewhere.

The goal is to give both users and search systems a reason to trust your brand.

Make Your Website Easy For AI And Search Engines To Understand

Technical SEO remains an important part of AI visibility.

A well-structured website helps search engines understand relationships between pages, entities, products and topics.

Review areas such as:

• Internal linking
• Page structure
• XML sitemaps
• Indexability
• Structured data
• Canonical URLs
• Metadata
• Heading structure
• Site performance
• Mobile usability

Structured data can also help communicate information about your organisation, products, services and other relevant entities.

For SaaS websites, this can become particularly useful when your site contains complex relationships between products, features, integrations, industries and use cases.

Connect SEO With Generative Engine Optimisation

This is where traditional SEO increasingly overlaps with Generative Engine Optimisation (GEO) and Answer Engine Optimisation (AEO).

SEO focuses heavily on helping your website appear in search results. GEO and AEO extend the thinking towards how information is discovered and presented through AI-generated answers and conversational search experiences.

The underlying principles are closely connected:

Be relevant.

Answer questions that matter to your audience.

Be clear.

Explain your product, expertise and information in a way that is easy to understand.

Be credible.

Support important claims and demonstrate genuine expertise.

Be structured.

Make relationships between topics, products and information clear.

Be useful.

Give users information they can actually use to make decisions.

Identify The Questions Your Sales Team Already Answers

One of the easiest ways to improve AI-focused keyword research is to look beyond SEO tools and speak to your sales and customer service teams.

Ask them:

• What questions do prospects ask repeatedly?
• What objections delay purchases?
• Which features do prospects compare?
• Which competitors come up most often?
• What makes customers choose your product?
• What makes prospects hesitate?
• Which integrations are frequently requested?
• What information do customers need before signing up?

These conversations can uncover highly valuable topics that traditional keyword tools may not reveal.

For example, a sales team might repeatedly hear:

“Can this software integrate with our existing ERP?”

That question could become an integration page, an FAQ, a comparison section or a dedicated article.

More importantly, it reflects a real buying concern rather than a theoretical keyword opportunity.

Monitor How Your Brand Appears In AI Search

As AI search develops, SaaS companies should begin monitoring how their brands appear in AI-generated answers.

Create a set of questions based on your most important products, audiences and commercial topics.

For example:

• What are the best CRM platforms for small B2B businesses?
• What should a SaaS company look for in a CRM?
• What are the best alternatives to [competitor]?
• Which CRM tools integrate with [platform]?
• What is the best CRM for [specific industry]?

Then periodically review whether your brand appears, how it is described and which sources AI platforms reference.

You can turn this into a simple tracking framework:

The exact behaviour of AI platforms can change, so treat these observations as directional rather than permanent ranking positions.

Do Not Abandon Traditional SEO

The rise of AI search does not mean you should stop targeting conventional search terms.

Instead, combine both approaches.

Your strategy can include:

**Traditional SEO:**Target valuable keywords, improve technical SEO, build authoritative content and earn relevant links.

**Conversational search:**Answer detailed questions and cover the problems customers discuss in natural language.

**GEO:**Improve the likelihood that your brand and content can be understood and referenced by generative AI systems.

**AEO:**Structure content to provide clear, useful answers to specific questions.

These activities reinforce one another because they all depend on a strong foundation of useful, accessible and authoritative content.

Build a Smarter SEO Strategy with Saigon Digital

At Saigon Digital, we believe SEO should do more than improve rankings. It should help businesses generate leads, attract qualified audiences and achieve measurable growth.

Our SEO Services combine technical performance, content and authority building, and local and global search strategy to create a stronger foundation for sustainable organic growth.

We also help businesses prepare for the changing search landscape through Generative Engine Optimisation (GEO). Our services cover AI readability optimisation, GEO, Answer Engine Optimisation (AEO), Knowledge Graph and Schema setup, AI content audits and reformatting, and AI performance reporting. The goal is simple: help your brand become discoverable, quotable and trusted across AI platforms as well as traditional search.

For businesses looking to improve efficiency alongside visibility, our AI Workflow Automation Services help streamline repetitive processes and build scalable AI-powered workflows. From AI-driven intelligence and pre-built automation templates to custom AI agents, we help ambitious businesses reduce manual work and improve productivity.

SaaS keyword research is one part of that process. The bigger opportunity is turning search behaviour, useful content, technical SEO and AI-ready digital experiences into measurable business growth.

At Saigon Digital, we combine strategy, creativity and data to help ambitious brands solve digital challenges and build a stronger foundation for what comes next.

Turn Search Intent Into SaaS Growth

Effective SaaS keyword research is about understanding what your customers need, creating content that answers their questions, and guiding the right people towards signup.

As search continues to evolve with AI, SaaS brands need an SEO strategy that connects traditional search with conversational and generative discovery.

Ready to turn search visibility into measurable growth? 

Get in touch with Saigon Digital today to start turning search intent into measurable results.

Frequently Asked Questions About SaaS Keyword Research

1. What Is SaaS Keyword Research?

SaaS keyword research is the process of finding and analysing search terms that potential customers use when looking for software, solutions, information or answers. Effective research considers search intent, customer needs, competition and conversion potential rather than focusing on search volume alone.

2. How Do I Find Keywords That Drive SaaS Signups?

Start by identifying your ideal customers and the problems they are trying to solve. Then research keywords across awareness, consideration and decision stages. Prioritise terms that closely match your product, show commercial intent and have a realistic opportunity to rank. Finally, track signups and conversions to identify which keywords and pages generate genuine business value.

3. Should SaaS Companies Target High-Volume Keywords?

Not necessarily. High-volume keywords can attract significant traffic but may have low conversion potential if the search intent is too broad. More specific long-tail keywords, such as “CRM software for small B2B teams”, may attract fewer visitors but a higher percentage of relevant prospects. The best strategy balances search demand with relevance, intent and business value.

4. How Does AI Affect SaaS Keyword Research?

AI is making search more conversational, with users increasingly asking detailed questions about products, comparisons and solutions. SaaS companies should therefore research customer questions alongside traditional keywords and create clear, authoritative content that search engines and AI platforms can understand. This creates opportunities across traditional SEO, Answer Engine Optimisation (AEO) and Generative Engine Optimisation (GEO).

5. How Often Should I Conduct SaaS Keyword Research?

Keyword research should be an ongoing process rather than a one-time project. Review your keyword strategy regularly as customer behaviour, competitors, search trends, products and AI search experiences change. Analyse performance data to identify new opportunities and refine your content around the keywords and topics that generate qualified traffic, leads and signups.