How Often Does Reddit Get Cited by Google AI Mode?
Google AI Mode cited Reddit in 2.1% of responses across 1,905 tracked prompts — full by-engine breakdown, raw numbers, and how Reddit ranks among Google AI Mode...
Google AI Overviews cited Reddit in 0.9% of responses across 1,905 tracked prompts — full by-engine breakdown, raw numbers, and how Reddit ranks among Google AI Overviews’s sources.
Google AI Overviews cited Reddit in 0.9% of its responses across 1,905 AmICited tracked prompts (June 24, 2026–July 23, 2026, 2026). Here is the full breakdown: by engine, by rank, and over time, with the raw numbers behind every figure.
Between June 24, 2026 and July 23, 2026, AmICited ran 1,905 tracked prompts through Google AI Overviews and recorded every source it cited. Of the 2,010 Google AI Overviews responses in that window, 19 included at least one link to Reddit, a citation rate of 0.9%. In other words, roughly one in 106 of Google AI Overviews’s answers to these prompts pointed readers to Reddit. A response is counted as citing Reddit whenever any of the source URLs Google AI Overviews attached resolves to reddit.com (including subdomains ); the figures below break that number down by engine, by rank, and over time.
Reddit’s 0.9% citation rate in Google AI Overviews looks very different next to the other AI engines AmICited tracks. It lands mid-pack: ChatGPT is highest at 7.3% and Perplexity lowest at 0.0%. Across the four other engines the average Reddit citation rate is 3.0%, so Google AI Overviews runs below the cross-engine norm for this prompt set. That spread matters: it means whether Reddit shows up as a source depends heavily on which AI engine a user asks, not just on Reddit’s own content.
The table below is the exact data behind the chart: the number of responses analyzed for each engine, how many cited Reddit, and the resulting rate. Every percentage on this page is computed from these counts.
| AI engine | Responses analyzed | Responses citing Reddit | Citation rate |
|---|---|---|---|
| ChatGPT | 5,119 | 372 | 7.3% |
| Gemini | 5,123 | 131 | 2.6% |
| Google AI Mode | 3,975 | 85 | 2.1% |
| Google AI Overviews (this page) | 2,010 | 19 | 0.9% |
| Perplexity | 3,052 | 0 | 0.0% |
Ranking every domain Google AI Overviews cited by how many responses linked to it, Reddit comes in at #8 of 1,037. The chart highlights where Reddit sits inside Google AI Overviews’s ten most-cited domains , led by youtube.com. Being inside the top ten means Reddit is not a fringe source for Google AI Overviews; it is one of the destinations the engine returns to repeatedly across different prompts. Placement within an answer matters too: when Google AI Overviews cites Reddit, the link sits on average at position 5.2 in the response’s source list, and 42% of those 19 citations land in the top three slots, the ones a reader is most likely to actually click.
Day by day, Reddit’s citation rate in Google AI Overviews averages 0.9% but moves around that line as daily sample sizes shift (smaller markers are lower-volume days, where a single citation swings the percentage). Its strongest well-sampled day was July 23, 2026 at 5.4% (8 of 148 responses). The rate is rising over the window, moving from 0.5% in the first half to 1.0% in the second, worth watching, though a month is too short to call it a durable shift.
Reddit citations in Google AI Overviews are concentrated in specific queries: 17 of the 1,058 tracked prompts (2%) surfaced a Reddit link at least once. These are the kinds of questions that pulled Reddit into Google AI Overviews’s answers:
The pattern is worth noting: Reddit’s visibility in Google AI Overviews is driven by these query themes rather than spread evenly across every prompt, so the source matters most when users ask questions like the ones above.
For AI-search visibility, Reddit is a weak-to-moderate channel for Google AI Overviews: at 0.9% it trails the 3.0% cross-engine average, so it should not be the first place you invest to win Google AI Overviews citations. The broader lesson from the by-engine spread is that AI-search visibility is engine-specific: a source that ChatGPT leans on (7.3%) can be nearly invisible in Perplexity (0.0%). Because these numbers come from AmICited’s tracked prompts, weighted toward SaaS , e-commerce and customer-support questions, they describe Reddit’s pull for that kind of query, and your own prompt mix may differ. The reliable way to know your own numbers is to track the exact prompts your audience asks and watch which sources each engine cites back.
This report is built from AmICited’s own tracking data, not third-party estimates. AmICited runs a fixed set of 1,905 tracked prompts through each AI engine on a recurring schedule and stores every answer together with the source URLs the engine cited. For this page we looked at the 2,010 Google AI Overviews responses collected between June 24, 2026 and July 23, 2026, 2026.
A response counts as citing Reddit when at least one of its cited source URLs resolves to reddit.com or any subdomain of it (for example www.reddit.com or other reddit.com hosts); each response is counted once regardless of how many Reddit links it contains. Domains are compared at the registrable level, so all reddit.com addresses roll up together. The citation rate is simply that count divided by the total Google AI Overviews responses. Citation position is the rank of a Reddit link within a response’s source list (1 = first source cited), and the triggering prompts are the distinct tracked prompts for which at least one Google AI Overviews response cited Reddit.
Two caveats worth stating plainly. First, the tracked prompts skew toward SaaS, e-commerce, customer-support and related B2B topics, so these figures describe Reddit’s pull within that prompt set, not a random sample of the whole web. Second, the five engines compared are ChatGPT, Perplexity, Google AI Overviews, Google AI Mode and Gemini ; Microsoft Copilot is tracked by AmICited but returned no citation data in this window, so it is excluded here.
Arshia is an AI Workflow Engineer at FlowHunt. With a background in computer science and a passion for AI, he specializes in creating efficient workflows that integrate AI tools into everyday tasks, enhancing productivity and creativity.

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