Prompt Analysis
Which Reddit post does LLM cite?
Which Reddit post does LLM cite?
Table of Contents
Title
Which Reddit posts does AI search cite?
An analysis of 200 Reddit URLs cited by AI engines, set against 547,986 Reddit citations measured across five client accounts and four providers over 12 months. The findings run against most of what social-first content strategy assumes.
Reddit is cited by every provider, at scale
Citation counts represent the number of prompts in which Reddit appeared as a sourced result in an AI answer. Hover a provider to isolate its share.
Two providers account for the majority of Reddit citations. The other two still generated 81,069 between them.
No provider ignores Reddit. Even Gemini, the lowest of the four, generated 36,235 Reddit citations across the same client base.
The floor is significant. Across five clients, even the lowest-volume account logged over 50,000 Reddit citations in a year.
Reddit ranks among the most consistently cited sources across every AI engine, rather than one source among many.
The last quarter was half the year
Monthly volume across all five clients and all four providers. Volume rose from a floor of 6,151 in November 2025 to a peak of 111,530 in May 2026. May through July alone account for 54% of the annual total.
Upvotes are not a signal
Each square below is one of the 200 cited URLs. Drag the threshold to apply the filter a content strategist would apply, a minimum upvote count, and watch how much of the cited corpus it leaves behind.
Set a minimum upvote count. Every square that greys out is a post an AI engine cited and your filter would have skipped.
Discussion depth, not score
80% of cited posts have more comments than upvotes. The median cited post has 33 comments against 11 upvotes. If any engagement metric tracks citation it is the volume of answers, and even that is a correlation rather than a threshold. Posts with zero comments were cited too.
Q&A structure is the strongest predictor
79% of the 200 cited URLs follow a question-and-answer shape: the OP asks, the community answers. The title carries the intent signal for retrieval; the thread carries the knowledge to extract.
The Q&A pair mirrors the format AI engines are optimized for: match a query to an answer. A question title is a retrieval handle, and everything below it is extractable knowledge.
Type a thread title. The tester checks it against the four intent signals present in the cited set.
Age, size, and language are not filters
Every observed range in full. Post age, subreddit size, and language all span the entire scale of what Reddit contains, so none of the three works as a filter.
At or past the median, inside the 89% of the set younger than 5 years.
The youngest cited post was 7 days old. Fresh threads are cited, though freshness buys nothing.
More than half of the 200 cited URLs are older than 2 years, and archived threads that cannot receive new input are still cited.
11% of the cited set is older than 5 years. Posts from 2011 were cited in answers generated in 2026.
The bulk of the set, spread over more than 100 distinct subreddits.
7 of the 200 URLs came from subreddits with under 10,000 weekly visitors. Tiny, topical communities are cited.
Over 100 distinct subreddits appear across just 200 URLs, spread across the full size range.
The largest communities in the set reach 3,800,000 weekly visitors. Size correlates with nothing, topical relevance is the only filter.
AI engines index Reddit multilingually. A non-English post that answers a relevant question is cited just as readily as an English one.
The page is the unit, not the post
Strip the thread. Toggle any element off and the model re-evaluates: a citation needs a title for discovery and some text on the page for extraction. Those two can come from entirely different contributors.
The standard case: a question title and a thread of answers. Everything else on this page is optional.
How to win your Reddit strategy for AEO?
A Reddit thread gets cited when its URL contains a discoverable title, such as a brand name, a comparison keyword, or a question, and the thread contains content that directly, specifically, and authentically answers that question. Everything else is secondary.
Nothing committed yet. Tick the moves your team will actually run this quarter.
Method note: the five client accounts in this study are anonymized. No account is named, and no figure is broken out per client, so every number here is reported as an aggregate across all five. Provider and monthly figures are measured citation counts. The provider total of 547,986 and the monthly total of 543,363 were pulled on different period boundaries, which accounts for the difference between them. The 200-square grid in Finding 01 is an illustrative distribution fitted to the reported statistics (6% at zero upvotes, 40% under 10, median 11, range 0 to 2,000) rather than per-post source data.
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