11/9/2026 · By The Comppound Gecko
Seed Keywords for SaaS: How to Find Them and Grow Them Into a Plan
Photo by Roman Synkevych on Unsplash
Seed keywords are the short, broad phrases that describe what you sell and the problems you solve, and every keyword research project grows from them. A good set of seeds takes an hour to build and decides whether the research that follows is useful or a long list of searches that nobody who buys from you would ever type.
Say you run a 12-person SaaS selling invoicing software to freelance designers. Your seeds might be invoicing software, freelance invoice, getting paid late and invoice template. None of them is a final target. Each is a doorway into the longer, more specific searches that real customers use, and your job is to choose doorways that lead to buyers.
Where good seeds come from
The best seeds come from people, not tools. Start with your own words, then check them against your customers' words, because they often differ.
Read sales call notes and support tickets for the phrases customers use to describe their problem. Look at how your best customers describe you in reviews. Ask the sales team what prospects say in the first call. Search your own site's search box logs and your Search Console queries for terms people already use. Customers describe the pain, while your team describes the product, and both belong on the list.
Then check competitors. Their product pages, navigation and headings reveal how the market names things. The guide to keyword research for early-stage SaaS shows how to apply this when your site is new.
Sort seeds by how close they are to buying
Not every seed deserves equal effort. Sort them into groups by how close the searcher is to a purchase.
Problem seeds describe the pain, such as chasing late payments. Category seeds name the type of product, such as invoicing software. Comparison seeds involve rivals or alternatives. Task seeds describe a specific job, such as how to write an invoice. Category and comparison seeds are nearest to a purchase, while problem and task seeds reach people earlier and build trust.
A balanced plan includes all of them, but early efforts usually belong where intent is highest. Read the guide to search intent for SaaS keywords to match each group with the right page.
Grow each seed into a cluster
Put a seed into a keyword tool or the search box itself and collect the suggestions. Autocomplete, related searches and People Also Ask questions show how people extend the phrase. A tool will add search volume and difficulty estimates, which are useful for comparing keywords but should be treated as rough guides, since different tools give different numbers.
Group the results by topic and intent. Searches that mean the same thing belong on one page. Searches that need a different kind of answer belong on separate pages. This grouping step, often called clustering, keeps you from writing two pages that compete with each other, a problem explained in the glossary entry on keyword clustering.
Check what ranks before you commit
Take the most promising keywords from each cluster and look at the results page. If it is full of large publishers and the format does not suit you, move on. If smaller sites rank and the pages are shallow, you have an opening. The process in the guide to SERP analysis takes a few minutes per keyword and saves weeks of effort.
Free tools are enough to start. The list of free keyword research tools for SaaS teams covers what each can do.
Prioritise with business value first
Rank the keywords you have collected by how likely they are to bring customers, how winnable they are, and how well you can speak to them. Business fit should carry the most weight, because a modest search from a real buyer beats a large one from a casual reader. If your product cannot solve the problem behind a keyword, leave it out however big it looks.
Keep the list short enough to act on. A plan of twenty pages you will write is more useful than a thousand keywords in a spreadsheet.
Keep the seeds alive
Seed lists go stale as your product and market change. Revisit them when you launch a feature, enter a new segment or notice customers using new words. Review what your published pages actually rank for, as described in Search Console for SaaS founders, and add the unexpected queries as new seeds. Often the best new topics are visible there first.
Seeds are also useful in AI search. The questions people ask assistants resemble long-form versions of the same seeds, so a list built around real customer language serves both.
Begin with how your customers talk, sort what you gather by closeness to a purchase, grow each seed into a cluster and keep the list small enough to write from. The quality of your seeds sets the ceiling on everything that follows.
A worked example
Take the seed invoicing software for freelancers. Autocomplete adds searches about templates, reminders and tax. Sales calls reveal that designers worry most about chasing late payers. That worry becomes a second seed, which opens a cluster about payment reminders and late fees. Within an afternoon one seed has become two clusters, each with a clear page type and a believable buyer, and you can see which one to write first.
If you want a research process and a keyword plan built for your market, look at how we run SEO for SaaS.
Frequently Asked Questions
A short, broad phrase related to your product or problem space that you use as the starting point for finding more specific keywords.
Ten to twenty well-chosen seeds across problem, category, comparison and task groups are enough to start.
Use people first, such as customers, sales and support. Use tools to expand seeds into related searches and compare volume.
No. A seed is a starting point for research. A primary keyword is the main phrase one specific page targets.
Still have questions? Talk to our team.

The Comppound Gecko
SEO and AI search for B2B SaaS
Comppound plans, produces and publishes search content for B2B SaaS companies. Every article is researched and drafted with AI, then reviewed by a member of the team for accuracy, clarity and usefulness before it is published.
Was this article helpful?
