Quick picks: is this the tool you need?
- You want the whole ranking and will sort it yourself: open the subreddit list.
- You'd rather describe your product and get 10 matches back: use the subreddit finder instead.
- You want one niche ranked for you: the best subreddits for AI and software page is one of the niche lists.
- You already know the subreddit and want its most-cited threads: open its data page, for example r/SaaS.
- You want an AI assistant to query the same data: the MCP server has a get_subreddit tool.
- You want comments posted for you, not a list: run the free sample.
What the list does
How to use it
| Step | What to do | What done looks like |
|---|---|---|
| 1 | Type a word from your market into the search box, such as "saas", "marketing" or "skincare" | The table shows only subreddits whose names contain the word |
| 2 | Sort by AI citations | The subreddits AI answers lean on most for that word are at the top |
| 3 | Read the engine columns for your top rows | You know whether ChatGPT, Perplexity or Gemini drives each one |
| 4 | Switch the sort to Last seen | You've dropped rows not cited since before October; those threads may have stopped showing up |
| 5 | Open the data page for rows that link to one, then read the subreddit's rules on Reddit | You have a short list of subreddits, their most-cited threads, and whether brand mentions are allowed |
A worked example: "saas" and "marketing"
| Subreddit | Rank by citations | AI citations | ChatGPT / Perplexity / Gemini | Threads cited | Last seen |
|---|---|---|---|---|---|
| r/SaaS | 10 | 302 | 40 / 208 / 54 | 95 | Oct 30, 2026 |
| r/b2bmarketing | 21 | 234 | 22 / 150 / 62 | 52 | Oct 16, 2026 |
| r/smallbusiness | 23 | 210 | 20 / 164 / 26 | 77 | Oct 23, 2026 |
| r/Entrepreneur | 30 | 170 | 13 / 135 / 22 | 45 | Oct 23, 2026 |
| r/marketing | 125 | 52 | 0 / 35 / 17 | 18 | Oct 9, 2026 |
What the example shows
- Size is not the ranking. r/smallbusiness had about 2.47 million members when we read it and r/b2bmarketing about 90,000, yet r/b2bmarketing drew more citations (234 to 210).
- Perplexity supplies most of the citations on every row above. ChatGPT cited r/marketing threads 0 times in our data.
- A broad name can rank low. r/marketing sits at 125, below several narrower subreddits.
What the whole list shows
Doing it yourself or having it done
Limits to know
- Search matches subreddit names only, not topics or thread titles. For a description match, use the subreddit finder.
- Only 180 of the 1,325 subreddits have a topic group, so filtering by topic shows those 180 and hides the rest.
- Member counts are read for 489 subreddits; the others show "not read".
- The engines tracked are ChatGPT, Perplexity and Gemini. Claude and Google's AI Overviews are not in these counts.
- 130 subreddits whose names matched a sensitive-topic filter (health, drugs, legal help, adult, gambling) are left out, and the filter reads names only.
- The data runs to November 6, 2026. A subreddit cited heavily before then can fade from answers since.
Sources
- Subreddit list, page and data read November 12, 2026: 1,325 subreddits, data as of November 8, 2026, AI answers tracked January 9 to November 6, 2026.
- CommunityMentions AI answer tracking: 80,500 answers from ChatGPT, Perplexity and Gemini, January 9 to November 6, 2026, with each Reddit link counted by subreddit and thread; read November 12, 2026.
- Our price and terms: pricing section and company facts, read November 12, 2026.