Which subreddits do AI search engines cite most for software recommendations?
For a software company working out where to show up on Reddit, r/SaaS, r/b2bmarketing and r/startups are the subreddits AI search engines cited most on buying and comparison questions, with 195, 185 and 167 citations in the answers we tracked for 126 brands from Jan 9, 2026 to Nov 6, 2026.
24
software, startup and marketing subreddits with 50+ citations
2,927
AI citations of their threads
73%
of those came from buying or comparison questions
126
brands whose questions we tracked
Top subreddits cited by AI engines for software recommendations
Ranked by citations on two question types: a buyer comparing products, and a buyer looking for a product. Questions that only describe a problem are left out of the ranking. Open a row for that subreddit's most-cited threads.
| # | Subreddit | Buying and comparison | All citations | Buying share | Top engine |
|---|---|---|---|---|---|
| 1 | r/SaaS | 195 | 302 | 65% | Perplexity |
| 2 | r/b2bmarketing | 185 | 234 | 79% | Perplexity |
| 3 | r/startups | 167 | 190 | 88% | Perplexity |
| 4 | r/smallbusiness | 159 | 210 | 76% | Perplexity |
| 5 | r/Entrepreneur | 144 | 170 | 85% | Perplexity |
| 6 | r/dataengineering | 123 | 135 | 91% | Perplexity |
| 7 | r/cybersecurity | 116 | 138 | 84% | Perplexity |
| 8 | r/productivity | 99 | 248 | 40% | Perplexity |
| 9 | r/sysadmin | 97 | 105 | 92% | Perplexity |
| 10 | r/coldemail | 90 | 96 | 94% | ChatGPT's models |
| 11 | r/AI_Agents | 89 | 117 | 76% | Perplexity |
| 12 | r/WritingWithAI | 89 | 89 | 100% | Perplexity |
| 13 | r/StableDiffusion | 82 | 96 | 85% | Perplexity |
| 14 | r/sales | 67 | 127 | 53% | Perplexity |
| 15 | r/generativeAI | 67 | 68 | 99% | Perplexity |
| 16 | r/DigitalMarketing | 64 | 86 | 74% | Perplexity |
| 17 | r/LocalLLaMA | 50 | 64 | 78% | Perplexity |
The table stops at 50 buying and comparison citations, which leaves 17 of the 24 subreddits. Our own count, from 80,500 tracked AI responses, is the only source for these numbers.
Most cited subreddits on ChatGPT, Perplexity and Gemini
The most-cited subreddit differs by engine. Perplexity (Sonar) produced 74% of the citations in this set, so its picks dominate any combined ranking. That share reflects how many Reddit threads each engine linked on the questions we track, not how good its answers are. Check the engine your buyers use.
| Engine | Citations of these subreddits | Share | Most-cited subreddit |
|---|---|---|---|
| Perplexity (Sonar) | 2,171 | 74% | r/SaaS (208) |
| Gemini (2.0 and 2.5 Flash) | 455 | 16% | r/b2bmarketing (62) |
| OpenAI models (GPT-4o, GPT-5.1) | 301 | 10% | r/coldemail (52) |
Which subreddits get cited when a buyer compares software
Citation totals hide what the question was. Some subreddits are cited mostly when someone is choosing a tool, and others mostly when someone describes a problem. For subreddits with 100 or more citations:
| Subreddit | Citations | Share on buying and comparison questions |
|---|---|---|
| r/sysadmin | 105 | 92% |
| r/dataengineering | 135 | 91% |
| r/startups | 190 | 88% |
| r/Entrepreneur | 170 | 85% |
| r/aiwars | 114 | 21% |
| r/productivity | 248 | 40% |
| r/sales | 127 | 53% |
r/aiwars has 114 citations, but only 21% come from buying or comparison questions. A software company ranking subreddits on total citations alone would rate it higher than buyers' questions justify.
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What this list can't tell you
- It comes from questions we track for our own clients' niches, Jan 9, 2026 to Nov 6, 2026, so it leans toward the categories those 126 brands sell in.
- Google AI Overviews and Claude are not in this dataset. The engines are OpenAI GPT models, Perplexity Sonar and Gemini Flash.
- "Software" here means the three groups we assign in our data: SaaS and startups, AI and software, and marketing and sales. A subreddit we assigned elsewhere is not counted.
- A citation means the engine linked a thread. It does not mean anyone read it, and it does not mean a brand comment there would be welcome.
How to use this if you sell software
Start with the subreddits above where your buyers already ask for tools, then read the threads that get cited on each subreddit's page. Our guide to Reddit for AI search covers how comments reach answers, and the subreddit selection help page covers how to narrow the list down. CommunityMentions is the company behind this data and sells a service that places comments in communities like these, at $1,000 a month. You get a free sample first, pay $1 to set up, and monthly billing starts only after you approve in Slack. Weigh the list knowing that.
Frequently asked questions
Which subreddits do AI search engines cite most for software recommendations?
On buying and comparison questions, r/SaaS (195 citations), r/b2bmarketing (185) and r/startups (167) led the 24 software, startup and marketing subreddits in our tracking, Jan 9, 2026 to Nov 6, 2026.
Which subreddits are cited most by AI search engines overall?
Among software subreddits, counting every question type, r/SaaS has the most citations, 302. The full ranking of every subreddit we tracked is on our subreddit table.
Which AI engine cites Reddit most for software questions?
In this software set, Perplexity (Sonar) accounts for 74% of the 2,927 citations we counted. That is a count of Reddit threads linked on the questions we track, not a measure of answer quality, and the mix can change with each model update.
Does this list include Google AI Overviews?
No. The data covers OpenAI GPT models, Perplexity Sonar and Gemini Flash models. We do not have Google AI Overviews in this dataset, so treat any claim about AI Overviews as outside this list.
Should a software company post in every subreddit on this list?
No. Pick the two or three whose readers match your buyer, read each subreddit's rules, and contribute where a thread already asks about your category. A subreddit's citation count says the engines link there. It does not say a brand comment will be welcome.
More subreddit data
Where these numbers come from
AI citations count the Reddit thread links that appeared as sources in answers from OpenAI GPT models, Perplexity Sonar and Gemini Flash models to the buyer-style questions we track for our clients' brands (competitor comparisons, product discovery and problem descriptions), Jan 9, 2026 to Nov 6, 2026. Those questions come from our clients' niches, so the counts lean toward the topics our clients sell in. They measure what these engines linked, not what any person read.
Placements are comments CommunityMentions posted for clients and verified on the thread on the day they went up, from our delivery database. Client names and comment text are never published. Brand counts under 5 are not shown.
Any count under 50 is shown as "under 50". Thread titles come from the link text, so a long title may be cut short. Subreddit sizes are from our last check. Health, drug, mental-health, legal-help and adult communities are not included.
Published by CommunityMentions (about us), run by Ryan Doyle. Rules for each subreddit belong to its moderators: read them before you post.
Sources
- CommunityMentions AI-answer tracking, Jan 9, 2026 to Nov 6, 2026: 80,500 tracked responses, 35,381 Reddit thread citations across 2,929 subreddits (subreddit table), updated November 8, 2026.
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