Quick picks: is this the page you need?
- You already know the subreddit and want its numbers: open its data page from the subreddit data hub, for example r/SaaS.
- You want to compare all 211 side by side: the hub lists every page in one table you can filter.
- You want a wider list of 1,325 cited subreddits, not just the ones with pages: use the subreddit list.
- You'd rather describe your product and get matches back: use the subreddit finder.
- You want an AI assistant to read the same numbers: the MCP server has a get_subreddit tool that returns one subreddit's numbers and most-cited threads.
- You want comments posted for you, not data: run the free sample.
What a subreddit data page shows
Every page is generated from two of our own data sets: the AI answers we track (80,500 answers from January 9 to November 6, 2026, with 35,381 links to Reddit threads) and our delivery database (59,860 verified Reddit comments placed since November 10, 2025). Each part below appears only when the subreddit has enough data for it.
| Part of the page | What it tells you | Shown when |
|---|---|---|
| Opening answer | Members, AI citations, the answers they came from, the first and last date cited, and the subreddit's rank among the 146 subreddits cited 50 or more times | Always, worded from whichever numbers the page has |
| Citations by engine | How many citations came from OpenAI models (GPT-4o, GPT-5.1), Perplexity (Sonar) and Gemini (2.0 and 2.5 Flash), with each share | The subreddit was cited 50 or more times |
| Citations by question type | Whether the citing answers were for someone comparing products, looking for a product to buy, or describing a problem | The subreddit was cited 50 or more times |
| Most-cited threads | Up to five threads with the number of times each was cited, and how much of the total they hold | Any of its threads were cited in our tracking (201 of the 211 pages) |
| Our verified comments | How many comments we placed there, for how many brands, the first placement, the busiest month and the median comment count of a thread when we posted | We placed 50 or more verified comments there |
| Reading the numbers | Plain sentences computed from the counts, including the share of comments we scanned that carried a link | Always |
| Similar subreddits | Neighbours in the same topic group, closest in size, plus the next two by rank | Always |
How to use the pages
Each step lists what done looks like.
| Step | What to do | What done looks like |
|---|---|---|
| 1 | Open the subreddit data hub and filter to your topic group, or go straight to a subreddit you have in mind | You have 3 to 5 subreddits open in tabs |
| 2 | Read the opening answer and the rank on each | You know which of them AI answers cite most, and which only show our placement numbers |
| 3 | Check the question-type table | You know whether the subreddit gets cited when people shop, compare or describe a problem, and which of those matches your buyer |
| 4 | Open the most-cited threads on Reddit | You've read what the answers are quoting and the comments that already sit under it |
| 5 | Read the link share line, then the subreddit's own rules on Reddit | You know whether a comment there normally names a product without a link, and what the moderators allow |
A worked example: r/SaaS
We read the live r/SaaS page on November 13, 2026. It opens with 702,778 members and 302 AI citations in 254 answers between February 27 and October 30, 2026, which ranks r/SaaS 11th of the 146 subreddits cited 50 or more times. Perplexity supplied 208 of the 302 citations (69%). By question type, 43% of the citing answers came from someone looking for a product to buy. The most-cited thread, "3 ways to promote your product on reddit without…", was cited 25 times, and the top five threads hold 82 of the 302 citations. We have placed 467 verified comments there for 24 brands since November 2025. Under 1% of the 359 comments we scanned in r/SaaS contained a link, so a comment there names a product in words.
| Number on the r/SaaS page | Value |
|---|---|
| AI citations of its threads | 302 |
| Different threads cited | 95 |
| Perplexity / Gemini / OpenAI models | 208 / 54 / 40 |
| Looking for a product / describing a problem / comparing | 129 / 107 / 66 |
| Verified comments we placed | 467, for 24 brands |
| Busiest month for our comments | March 2026, 178 comments |
What the 211 pages show together
105 pages carry AI citation numbers and 139 carry our placement numbers; 33 carry both. Across the 105 with AI numbers, Perplexity accounts for 70.4% of the 14,564 citations, Gemini for 22.2% and OpenAI models for 7.4%. By question type, 39.2% came from answers comparing products, 36.9% from answers for someone looking to buy and 23.8% from answers to a described problem. Comments with links are rare: 2.56% of the 115,236 comments we scanned across 187 of these subreddits contained one. The most-cited subreddits with a page are r/fragrance (588 citations), r/Concerts (575) and r/EngagementRings (397); the ones where we placed the most verified comments are r/AI_Agents (581), r/coldemail (489) and r/SaaS (467). All of these come from the pages' own data, as of November 8, 2026.
Doing it yourself or having it done
The pages tell you where AI answers look and where we already post. Being in 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
- Only 211 subreddits have a page: a subreddit needs 50 or more AI citations or 50 or more of our verified comments. 105 of the 146 subreddits cited 50 or more times have one.
- Health, drug, mental-health, legal-help and adult communities are left out on purpose.
- Any count under 50 shows as "under 50" and is not published, so a page can show AI numbers without our placement numbers, or the reverse.
- Member counts are on 165 of the 211 pages; the rest have not been read.
- The engines tracked are OpenAI models, Perplexity and Gemini. Claude and Google's AI Overviews are not in these counts.
- The AI answers run to November 6, 2026 and the pages say "Updated" with the data's own date. A thread cited heavily before then can fade from answers since.
- Thread titles come from each thread's link and are cut short, so open the thread to read the full title.
Sources
- r/SaaS data page, read live November 13, 2026.
- Subreddit data set behind every page (data/subreddits.json in the site's code): 211 subreddits, data as of November 8, 2026, AI answers tracked January 9 to November 6, 2026; 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.