Quick picks: where are you starting?
- You don't know which questions matter: use the AI visibility prompt generator, then run the questions in each engine.
- You have the questions and need the communities: use the subreddit finder.
- You want to measure where you stand today: read what AI visibility is and how to measure it.
- You want the choice of subreddits in depth: read how to choose subreddits for AEO.
- You have no one to do the replying: compare Reddit marketing services and prices.
Ways to do it, and what each takes
Prices were read November 10, 2026.
| Way | How often | What it takes | Cost |
|---|---|---|---|
| Answer threads yourself | A few replies a week | One person who knows the product and has a Reddit account with history | Free, plus your hours |
| Use alerts, then reply yourself | Whenever an alert fits | The same person, plus a tool such as F5Bot or Syften | $0 to $49.99 a month on F5Bot; $29.95 and up on Syften |
| Have it done for you | Daily | Approve the voice in Slack, then read the daily report | CommunityMentions, which is ours: $1,000 a month after a $1 setup charge |
Why does Reddit affect AI search visibility?
AI engines search the web before they answer, and Reddit is one of the places they read most. In our study of 41,592 buyer-style queries from January to July 2026, Reddit appeared in 18.9% of the 32,745 answers that cited a source, the highest of any real domain. ChatGPT cited it in 29.6% of its sourced answers and Perplexity in 23.5%. In our wider tracking to November 6, 2026, 18,690 of 80,500 answers cited a Reddit thread, 23.2% of them. Those questions come from our clients' niches, so your category may differ.
How to do it, step by step
Each step says what done looks like, so you can tell when to move on.
| Step | What to do | What done looks like |
|---|---|---|
| 1. List the questions | Write 20 to 30 questions a buyer would ask an AI assistant about your category | A fixed list you will reuse every month |
| 2. Run them in each engine | Ask ChatGPT, Perplexity and Gemini each question, with search on | A sheet with each answer, the brands named and the links cited |
| 3. Find the cited threads | Pull out every reddit.com link and group them by subreddit | A ranked list of subreddits and specific threads |
| 4. Read the rules | Read each subreddit's rules and its recent top comments | A short list of places where your kind of answer is allowed |
| 5. Add useful answers | Answer the thread's question with specifics you know first-hand. If you work for the brand, say so. Reddit closes old posts to new comments, so if the cited thread is archived, answer a newer thread on the same question | Comments that would still help if the brand name were removed |
| 6. Measure again | Re-run the same list every 30 days | A dated count of answers that name you, per engine |
Which threads are worth answering?
Start with threads AI answers already cite, because those are proven sources for that question. Citations are spread across many threads: 35,381 citations went to 11,791 threads, about 3 each, and the 10 most-cited subreddits on our public list hold 4,094 of them (11.6%). Even so, the top tenth of that list, about 130 subreddits, holds 58.7% of its citations. A plan limited to the biggest few communities misses most of where the citations are. The questions that draw the most citations are plain buying questions. The most-cited thread in the subreddit finder's data, "Best place to find resale tickets" in r/Concerts, drew 171 citations, and "Any better ticketmaster alternatives" drew 46. Look for that shape in your own category: best, alternatives, and is it worth it.
What result can you expect?
Plan on months of measuring and no guaranteed result. Our longest record is our own agency, Sales.co, which was the first proof client. In its monthly scan of 58 buyer questions, Reddit went from 0% of answers in January 2026 to 47% in August 2026. That's one company in one niche, and we can't separate the comments from everything else that changed in those months. Treat it as an example of what a measurement can look like. Monthly placements for Sales.co stopped after September 22, 2026, and this page reports no scan after August, so it does not show whether the 47% held.
Give it at least two or three monthly scans before judging, and count the same questions each time. Answers vary from run to run, so a single check can mislead.
Limits to know
- Reddit is one source among many. YouTube was cited in 14.4% of sourced answers in our study, and Wikipedia in 18.6% of ChatGPT's.
- Moderators can remove a comment, and an AI engine can stop citing a thread at any time.
- A comment in a thread doesn't guarantee an engine repeats your brand.
- Our numbers come from questions in our clients' categories. They measure what engines linked, and not what people read.
- Subreddits ban promotion on their own terms, so step 4 can remove a community from your list.
Sources
- Where AI answers get their sources, CommunityMentions study of 41,592 queries, January 9 to July 14, 2026, published July 20, 2026.
- CommunityMentions AI answer tracking: 80,500 answers from January 9 to November 6, 2026, with 18,690 citing Reddit and 35,381 citations across 11,791 threads. Data dated November 8, 2026.
- Sales.co monthly AI scan of 58 questions, read August 6, 2026, and delivery records read November 6, 2026.
- F5Bot tiers and Syften pricing, read November 10, 2026.
- Our price and terms: pricing section and company facts, read November 10, 2026.