Reddit Keyword Research: How to Mine the Words Buyers Actually Use
Reddit keyword research is not about search volume. It is about finding the exact phrases buyers type before they know your product exists. Here is the full method, with operators and a scoring rubric.
Bhargab KalitaFounder of Xoru··9 min read
Reddit keyword research usually means one of two things. SEO teams use it to find phrases with search volume. Founders use it to find the words customers use before they know a product exists.
Those are different jobs, and the second one is more valuable when you are starting out.
Search volume tells you what people type into Google after they have a category in mind. Reddit tells you what they say to each other before that. "Is there a tool that does this?" "I am so tired of doing it in a spreadsheet." "We tried X and it broke." Those phrases are the raw material for your homepage, your ads, and your monitoring alerts.
This guide shows how to collect them, organize them, and score them without paid keyword data.
TL;DR
Reddit keyword research for founders is about buyer language, not monthly search volume.
Start with phrases from your own support inbox, sales calls, and churn notes. You already have better data than any tool.
Use Reddit's search operators (subreddit:, title:, selftext:, author:) and boolean logic to narrow results. Reddit's help pages document the syntax.
Use Google with site:reddit.com to find threads that Reddit's own search misses, especially older threads that still rank.
Sort every phrase into four buckets: competitor, request, problem, and objection.
Score each phrase on frequency, recency, commercial hint, and rule risk. Volume is optional.
Turn the best 10 to 15 phrases into alerts so the research keeps paying after week one.
What Reddit keyword research actually gives you
Reddit is a record of people describing problems in their own words. That is the asset. Not the upvotes, not the subreddit size, not the trend chart.
A phrase like "tool to track mentions" tells you the buyer knows a category exists. A phrase like "I keep missing when people ask about us" tells you the pain. The second phrase is more useful for a homepage headline. The first is more useful for a comparison page.
Most keyword tools collapse both into a single volume number. That is why founders finish a keyword research session with a spreadsheet full of terms and no idea what to write.
Here is the difference in practice.
SEO keyword research
Reddit buyer-language research
Question
How many people search this?
How do buyers describe the problem?
Source
Keyword planner, SERP tools
Threads, comments, reviews, support tickets
Output
A list ranked by volume
A list ranked by intent and fit
Best use
Content planning
Positioning, alerts, reply templates
Failure mode
Writing for a phrase nobody says
Writing for a phrase only one person said
You need both eventually. Start with the second.
Step 1: Collect seed phrases from conversations you already have
Before you open Reddit, open your own records. Look for:
Support tickets where the customer described the problem before they knew the feature name.
Sales call notes. Write down the exact sentence, not your summary.
Churn reasons. "Too expensive" is useless. "I was only using it for one report a month" is a phrase you can search.
App store reviews for competitors.
The last 20 comments you left on Reddit or LinkedIn. What words did you use?
Aim for 20 seed phrases. Do not filter yet. You are looking for the language, not the market size.
If you have no customers, use the last 20 threads you read in your niche. Copy the sentences that made you think "that person has the problem my product solves."
Step 2: Search Reddit like a researcher
Reddit's search bar supports more than most people realize. The official help page documents manual filters and boolean operators.
Operator
What it does
Example
`subreddit:`
Limits results to one community
`subreddit:saas invoicing`
`title:`
Searches post titles only
`title:"looking for"`
`selftext:`
Searches the body of text posts
`selftext:"alternative to"`
`author:`
Finds posts by a specific user
`author:somefounder`
`site:`
Filters by linked domain
`site:notion.so`
`url:`
Searches the submitted URL
`url:calendly`
`flair:`
Filters by post flair
`flair:recommendation`
`self:true`
Only text posts
`self:true`
You can combine fields. This query finds text posts in r/SaaS with "alternative" in the title:
subreddit:saas title:alternative self:true
Reddit also supports boolean operators. They are case sensitive.
AND requires both words.
OR accepts either word.
NOT excludes a word.
Parentheses group terms.
A practical query for buyer intent:
subreddit:saas ("looking for" OR "any recommendations") NOT hiring
Two quirks matter. Reddit post search matches some of your words by default, not all of them. Comment search requires all words. And quoted phrases give you closer matches than loose words.
Sort by "New" when you are hunting for live conversations. Sort by "Top" when you are studying language. The top posts in a subreddit show you which phrasings resonate, even if the threads are two years old.
Step 3: Use Google to find the threads Reddit search misses
Reddit's search is decent for recent posts and weak for older threads that still get traffic. Google is the opposite.
Search this pattern:
site:reddit.com/r/saas "alternative to" 2026
Then try:
site:reddit.com "looking for a tool" "project management"
Google finds threads that rank, which means other people are still finding them. Those threads are worth reading for language and worth answering if they are still active. The same logic powers the Reddit SEO playbook, where the goal is to show up in threads Google already ranks.
A warning: Google's index lags. A thread with 40 comments may be three weeks old. Check the date before you invest time in a reply.
Step 4: Put every phrase into four buckets
A flat list is hard to use. Four buckets turn it into a plan.
Bucket
What it sounds like
Where it goes
Competitor
"X alternative", "X is too expensive", "switching from X"
Comparison pages, ads, reply templates
Request
"looking for a tool", "any recommendations", "what do you use for"
Monitoring alerts, community replies
Problem
"spending hours", "keeps breaking", "I keep forgetting"
Homepage copy, top-of-funnel content
Objection
"is it worth it", "will this get me banned", "too expensive"
FAQ, pricing page, sales replies
The buckets do different work. Competitor phrases convert. Request phrases produce conversations. Problem phrases improve your copy. Objection phrases reduce churn and support load.
If a phrase fits two buckets, put it in the one closer to money. "Syften alternative for a solo founder" is a competitor phrase, even though it also describes a problem.
Step 5: Score each phrase without search volume
You do not need a volume number to rank a phrase. You need four signals.
Signal
Question
Score 1 to 5
Frequency
How often does this phrase or a close variant appear?
1 = once, 5 = weekly
Recency
Are the threads from the last 90 days?
1 = 2 years old, 5 = this week
Commercial hint
Does the person mention buying, switching, budget, or a timeline?
1 = pure curiosity, 5 = ready to pay
Rule risk
Can you reply without breaking the subreddit rules?
1 = promotion banned, 5 = welcome
Add the four scores. Anything above 14 is worth monitoring. Anything below 8 is research material, not a lead source.
This is deliberately simple. A more complex model will not make your data better. It will only make you feel productive while avoiding the actual work of reading threads.
The pipeline in one view. Most people stop after the first box.
Step 6: Turn the list into a monitoring routine
Research that stays in a spreadsheet decays. Pick the top 10 to 15 phrases and turn them into alerts.
You have three options:
Free. F5Bot sends email alerts for Reddit and Hacker News. It is the cheapest way to start. Expect noise on broad terms, so use exact phrases and exclusions.
Manual. Save a Reddit search URL for each phrase, sorted by new, and check them once a day. This is fine for five phrases and unsustainable for twenty.
Paid. A tool that scores intent and covers comments, not just post titles. Most missed opportunities live in comments, where someone answers a question with "I use X." The Reddit monitoring guide covers the tradeoffs in detail.
Whatever you pick, check the alerts at the same time every day. A 15-minute morning routine beats a dashboard you open twice a month.
A worked example
Suppose you sell a project management tool for agencies. Your seed list looks like this:
"we keep missing deadlines"
"client updates take forever"
"alternative to Asana for agencies"
"is Notion enough for a small team"
"how do you track revisions"
Now run the searches.
subreddit:agency "alternative to Asana" returns a handful of threads. Two are from the last month. Both mention price and client permissions. That is your comparison angle.
subreddit:freelance "client updates" returns complaints about writing the same email every Friday. That is a feature angle, not a competitor angle.
site:reddit.com "is Notion enough" returns threads from 2024 and 2026. The 2026 thread is active. Read it before you reply.
Now score:
Phrase
Frequency
Recency
Commercial hint
Rule risk
Total
"alternative to Asana for agencies"
4
5
5
4
18
"client updates take forever"
5
4
3
5
17
"is Notion enough for a small team"
3
4
4
4
15
"how do you track revisions"
3
3
2
5
13
Monitor the top three. Use the fourth as blog material. You now have a content plan and an alert list from one afternoon of reading.
What changes on 13 November 2026
Reddit stops supporting RSS feeds on 13 November 2026. Public API access ends by March 2027, with developer registration required by 12 January 2027. The dates come from Reddit's September announcement.
If your research workflow depends on an RSS reader or a homemade script, it will break. The practical move is to move now, before the deadline, and to ask any tool you pay for how it accesses Reddit data. A vendor that cannot answer that question is a vendor you should not depend on.
This does not change the research method. The phrases are still there. Only the plumbing changes.
Common mistakes
Searching only your product name. Early on, nobody says it. Track the problem instead.
Ignoring comments. Most recommendations happen in replies. A tool that only watches post titles misses them.
Collecting 200 keywords. You will not read the alerts. Start with 10.
Skipping the rules. Every subreddit has its own promotion policy. Read it before you reply, or your account pays the price. The self-promotion list is a starting point, not a permission slip.
Treating a phrase as a lead. A phrase is a signal. A person with a problem, a budget, and a deadline is a lead. Read the thread before you assume.
Tools for the job
Xoru has a free Reddit Keyword Finder that turns a product description into candidate phrases. Use it to build the first list, then verify each phrase with the manual searches above. The tool is a shortcut, not a replacement for reading.
For monitoring, F5Bot is the free starting point. Syften is the strongest option for boolean precision. Xoru adds intent scoring and reply drafting across 14 platforms if you want the whole loop in one place. Pricing is on the pricing page.
FAQ
How do I find keywords on Reddit?
Start with phrases from your own support and sales conversations, then search them with Reddit's operators. Use subreddit: to narrow the community, title: or selftext: to target the field, and quotes for exact phrases. Add boolean operators when you need to exclude noise.
Does Reddit keyword research still work without volume data?
Yes. Volume tells you how many people search a phrase. Reddit tells you how buyers describe the problem. For early-stage products, the second signal is more useful because the category may not have search demand yet.
What is the best free Reddit keyword tool?
F5Bot is the most established free alert tool for Reddit and Hacker News. Xoru's Reddit Keyword Finder is free for generating candidate phrases. Neither replaces reading the threads.
How many keywords should I monitor?
Ten to fifteen. Enough to cover competitors, requests, and two or three problem phrases. More than that and you will stop reading the alerts within a month.
Can I use Reddit keywords for SEO?
Yes, with care. Use them to shape the language of your pages, not as a volume forecast. A phrase that appears in ten threads is a positioning clue, not proof of search demand.
Karma is not a vanity score. It is a gate. Some subreddits will not let you post without it. Here is how much you actually need and how to earn it without farming.