Quick picks: is this the page you need?
- You know your niche and want the ranked list: pick it from the table below, for example AI and software or ecommerce and consumer brands.
- Your product doesn't fit one of the nine niches: describe it in the subreddit finder and get matched subreddits back.
- You want every cited subreddit in one sortable table, not grouped by niche: use the subreddit list of 1,325.
- You want one subreddit's full numbers: open its subreddit data page.
- You want the biggest subreddits on Reddit overall: see the most popular subreddits.
The nine niche lists
Each list groups the subreddits in our data by topic and ranks them by how often AI answers cited their threads. The counts below come from the same data file that builds the lists, as of November 8, 2026. A subreddit shows an AI citation count only when it has 50 or more, so the third column is the number that do.
| Niche list | Subreddits listed | With 50+ AI citations | AI citations | Our verified comments | Most cited |
|---|---|---|---|---|---|
| SaaS and startups | 22 | 4 | 872 | 2,709 | r/SaaS (302) |
| Marketing and sales | 26 | 7 | 698 | 2,284 | r/b2bmarketing (234) |
| AI and software | 34 | 13 | 1,357 | 2,717 | r/productivity (248) |
| Ecommerce and consumer brands | 38 | 25 | 4,256 | 2,301 | r/fragrance (588) |
| Cars and auto | 18 | 15 | 1,897 | 1,363 | r/askcarsales (302) |
| Travel and events | 25 | 16 | 2,529 | 1,370 | r/Concerts (575) |
| Personal finance | 11 | 4 | 415 | 890 | r/personalfinance (133) |
| Careers, writing and learning | 16 | 10 | 1,037 | 981 | r/jobsearchhacks (210) |
| Fitness, games and hobbies | 17 | 8 | 1,100 | 959 | r/rpg (308) |
What each list shows
Every list is built from two of our own data sets. One is the AI answers we track: 80,500 answers from OpenAI models, Perplexity and Gemini, January 9 to November 6, 2026. The other is our delivery database: 59,860 verified Reddit comments placed since November 10, 2025.
| Part of the list | What it tells you |
|---|---|
| Opening answer | The top three subreddits by AI citations, how many citations and threads the whole niche drew, and how many verified comments we have placed there |
| Ranked table | Each subreddit's AI citations, our verified comments and its member count, sorted by citations first and then by our comments |
| Open a row | The split by engine (OpenAI models, Perplexity, Gemini), the threads that were cited, and our placement numbers |
| Most-cited threads | The five threads in the niche that AI answers linked most, so you can read what got cited |
| Other niches | Links to the other eight lists |
How to use the lists
Each step lists what done looks like.
| Step | What to do | What done looks like |
|---|---|---|
| 1 | Open the list for your niche from the table above | You have one ranked list open |
| 2 | Take the top five by AI citations | You have a shortlist of subreddits that AI answers already cite |
| 3 | Open each row and check the engine split | You know which engines link each subreddit; most citations in every niche came from Perplexity |
| 4 | Read the most-cited threads at the bottom of the list | You know what kind of post gets cited: a buying question, a comparison or a problem |
| 5 | Read each subreddit's rules on Reddit before you post | You know which ones allow brand mentions or links |
What the nine niches show side by side
The niches differ in what kind of question gets their threads cited. For ecommerce and consumer-brand subreddits, 53% of citations came from answers comparing products; for SaaS and startup subreddits, 55% came from answers for someone looking to buy, and for marketing and sales, 54%. Ecommerce and consumer brands hold 4,256 of the 14,161 citations (30%), the most of any niche. Some niches lean on a few subreddits: the top three hold 83% of personal finance citations and 81% of SaaS and startup citations, against 31% in ecommerce and 38% in AI and software. Perplexity supplied between 65% and 79% of the citations in every niche. All of these are counted from data/subreddits.json as of November 8, 2026.
A worked example: ecommerce and consumer brands
We read the live ecommerce and consumer brands list on November 13, 2026. It opens with r/fragrance (588 AI citations), r/EngagementRings (397) and r/energydrinks (340), and says the 38 subreddits drew 4,256 AI citations across 1,258 threads. We placed 2,301 verified comments in them. r/fragrance has 2,405,164 members and under 50 of our comments, so it shows AI numbers only; r/EngagementRings shows 57 of our comments beside its 397 citations. Product comparisons drove the most citations in all three: 263 of r/fragrance's 588, 212 of r/EngagementRings' 397 and 286 of r/energydrinks' 340.
Doing it yourself or having it done
The lists tell you where AI answers look. Getting into those threads is the work that follows. CommunityMentions does that for $1,000 a month, month to month, after a free sample and a $1 setup charge. Monthly billing starts only after you approve the setup in Slack, and you get a daily Slack report linking every comment. The free sample shows the comments we'd post for your site before you pay anything.
Limits to know
- The lists cover 207 subreddits, the ones with 50 or more AI citations or 50 or more of our verified comments. Four general-interest subreddits have data pages but no niche list.
- Health, drug, mental-health, legal-help and adult communities are left out on purpose, so there is no list for those niches.
- Counts under 50 show as "under 50" and are not published.
- The engines tracked are OpenAI models, Perplexity and Gemini. Claude and Google's AI Overviews are not in these counts.
- A high count shows where AI answers look, not that a new comment there will be cited. Each subreddit sets its own rules on brand mentions and links, so read them first.
- The AI answers came from the queries we track for client brands, so niches where we have more clients have more data.
- The data refreshes weekly; this page's counts are as of November 8, 2026.
Sources
- Ecommerce and consumer brands list, read live November 13, 2026.
- Subreddit data set behind every list (data/subreddits.json in the site's code): 211 subreddits, 207 in the nine niches and 4 general-interest, data as of November 8, 2026, AI answers tracked January 9 to November 6, 2026; niche counts computed November 13, 2026.
- CommunityMentions delivery database: 59,860 verified Reddit comments placed since November 10, 2025, as of November 8, 2026.
- Our price and terms: pricing section and company facts, read November 13, 2026.