Quick picks: is this the tool you need?
- You sell something and want to know which subreddits AI answers lean on for it: use the finder.
- You want the whole ranking to sort yourself: the subreddit list has 1,325 subreddits that AI answers linked at least 3 times.
- You already know the subreddit and want its numbers: open its subreddit page.
- You want the method, step by step, for answer engine work: read how to choose subreddits for AEO.
- You want an AI assistant to run this for you: the MCP server has the same search as a tool.
- You want comments written for you and not just a list: run the free sample.
What the finder does
It splits your description into words and compares them with each subreddit's name, its topic group and the titles of the threads AI answers cited most there. A name match counts most, then a thread title, then the topic. Among equally good matches, the subreddit with more AI citations and placements ranks first. No AI model runs when you search, so the same words always return the same list.
Most subreddit finders rank by size or activity, which tells you where people are. This one draws its list from what AI engines cite, which tells you where a buyer's question gets answered.
How to use it
Each step lists what done looks like, so you know when to move on.
| Step | What to do | What done looks like |
|---|---|---|
| 1 | Describe the product in the words a buyer would use, up to 120 characters | A list of up to 10 subreddits |
| 2 | Read Matched on for each row | You've crossed off rows that matched only a generic word such as "tool" |
| 3 | Compare AI citations with 99, the median among subreddits cited 50 or more times | You know which rows are above the median for a cited subreddit |
| 4 | Open the most-cited thread in your top two or three rows | You can say what question those threads ask |
| 5 | Read each subreddit's rules before posting anything | You know whether brand mentions and links are allowed there |
Two real searches, and what they show
We ran both of these on November 10, 2026. The first query is the example on the tool, and its table shows 3 of the 10 rows. The second has a thinner result, which is useful to see: only 4 subreddits matched, and three of them have under 50 AI citations. When your niche comes back thin, use the row's most-cited thread to judge fit, or try a broader description.
| Search | Row shown (position in results) | AI citations | Our verified comments | Matched on |
|---|---|---|---|---|
| AI writing tool for marketers | r/WritingWithAI (#1) | 89 | 150 | ai, writing, tool |
| AI writing tool for marketers | r/AI_Agents (#2) | 117 | 581 | ai, tool |
| AI writing tool for marketers | r/generativeAI (#4) | 68 | Under 50 | ai, tool |
| project management software for agencies | r/growmybusiness (#1) | Under 50 | 211 | project, software |
| project management software for agencies | r/marketing (#3) | 52 | Under 50 | project, management, software |
| project management software for agencies | r/CRMSoftware (#4) | Under 50 | 51 | software |
How to read a result
- AI citations are the times an AI answer linked a thread from that subreddit as a source. Above 99 means it beats the median among subreddits cited 50 or more times.
- Answers citing it counts answers, so a subreddit linked twice in one answer counts once there.
- Our verified comments are comments CommunityMentions posted for clients in that subreddit and checked on the thread. A high count shows we have posted there and the comments passed our same-day check, and it does not promise yours will stay up.
- Matched on shows which of your words hit. A match on the name or a thread title is stronger than a match on the topic alone.
Limits
- It covers 211 subreddits: those AI answers cited 50 or more times, or where we placed 50 or more verified comments. A small niche community won't appear.
- Health, drug, mental-health, legal-help and adult communities are left out on purpose.
- The questions we track come from our clients' niches, so the counts lean toward what our clients sell.
- It counts what OpenAI GPT models, Perplexity Sonar and Gemini Flash models linked. It doesn't measure what any person read.
- It returns 10 results at most and matches words, so a synonym you didn't type won't help.
- Our own placements break ties between equally good matches, so subreddits where we post rank a little higher than their citations alone would put them.
What it costs
The finder is free, with no signup and no email. It runs on our own data, so a search costs us nothing. The paid service is separate: CommunityMentions posts daily comments for you on Reddit, YouTube, Medium, LinkedIn and X for $1,000 a month after a $1 setup charge, month-to-month. Monthly billing starts only after you approve the setup in Slack.
Sources
- Subreddit finder, read November 10, 2026, including both searches above. Its data is dated November 8, 2026.
- CommunityMentions AI answer tracking: 80,500 answers from January 9 to November 6, 2026, with 35,381 Reddit thread citations across 2,929 subreddits.
- Our price and terms: pricing section and company facts, read November 10, 2026.