ChatGPT Stopped Citing Reddit. Here's What That Means for Your AEO Strategy
In May, ChatGPT cited Reddit in almost 80% of its answers to the 30 questions we track every day. By September, under 1%. What changed across ChatGPT and Google's AI engines, and why a single-platform AEO strategy doesn't hold.
Author
Founder
Abhilash is the Founder of Paprik AI. He writes about AEO, AI search visibility, and how brands can win in AI-driven discovery.
A few months ago, whenever I spoke to marketing teams about answer engine optimisation, one reply came up more than any other: "We're already doing Reddit, so we should be good."
I understood why. Our own data backed them. On the 30 questions we ask ChatGPT every day, almost 80% of its answers in May cited Reddit. Plenty of AEO advice doing the rounds said the same thing, and for a while the numbers agreed.
By September, Reddit showed up in under 1% of those answers.
This post is what we saw between May and September across ChatGPT, Google AI Mode and Google AI Overviews, what we ruled out before believing it, and what I now tell teams who are betting their AEO plan on one platform.
TL;DR
On the same 30 questions, ChatGPT went from citing Reddit in 79% of its answers in May to <1% in September.
In Google AI Mode, Reddit fell from 58% to 24% of its answers, Medium from 20% to 4%, and Instagram from 12% to almost never.
Google did not stop citing UGC platforms. The share of answers citing at least one of the seven platforms we tracked barely moved on either Google AI mode or Google AI Overview, while Quora rose from 2% to 17% in AI Overviews.
ChatGPT dropped all seven UGC platforms we tracked. Its most-cited sources in September were vendors' own websites and official documentation.
A strategy built on one platform is a bet that every engine keeps trusting that platform.
What we tracked
We asked a fixed set of 30 questions to each AI engine every day and stored every answer along with the sources it cites. These are the questions our own buyers ask: which AI visibility tools to use, how to get a brand mentioned in ChatGPT, how to measure AI search.
For each answer, we checked whether it cited seven user-generated content platforms: YouTube, LinkedIn, Reddit, Instagram, Facebook, Quora and Medium. "Cited" here means the answer links to at least one page on that platform. Every number below is the share of answers that did.
Because the questions never changed, a shift in these numbers represents a shift in the engines' preferences over time.
ChatGPT went from citing Reddit in ~80% of answers in May 2026 to almost none in September 2026
In May, 79% of ChatGPT's answers to these questions cited Reddit. The share slid through June, sat around 22% through July, and hit zero by mid-August. Across September, 2 answers out of 688 cited Reddit (<1%).
That was a big enough change that we checked it hard before believing it:
It's not our question set. Same 30 questions, every day, all summer.
It's not a data capture problem. ChatGPT kept citing six to eight sources per answer in September. Between 7 and 20 September, reddit.com did not appear anywhere in the 429 responses ChatGPT returned.
It's not one category. On a second set of questions we track, in a different category, ChatGPT's Reddit citations fell from 83% in mid-May to single digits by July. On a third, from 27% in late July to 1% in late September.
This was a slide over roughly three months rather than an overnight switch, which looks more like ChatGPT gradually changing how it picks sources than a single policy decision.
Google AI Mode went from citing Reddit in 58% of the answers in May 2026 to 24% in September 2026
If this were only ChatGPT, you could file it under one engine's quirk. Google AI Mode, asked the same questions, cut back on four platforms over the same months:
Platform | May | September |
|---|---|---|
58% | 24% | |
Medium | 20% | 4% |
12% | Under 1% | |
61% | 31% |
Google AI kept citing community platforms, just different ones
This is the part that changed how I think about it. Put May and September side by side, and Google's two engines still lean on community platforms almost as much as before. In AI Mode, answers citing at least one of the seven went from 98% to 87%. In AI Overviews, from 93% to 90%. YouTube is still cited in around 70% of answers on both.
What moved was the mix. In AI Overviews, Reddit fell from 48% to 27% of answers, while Quora rose from 2% to 17% and LinkedIn from 41% to 47%.
ChatGPT is the outlier. It didn't swap Reddit for another community platform: all seven together went from 79% of its answers to under 1%. In September, its most-cited sources were the AI visibility vendors' own websites and official documentation from OpenAI and Google. Reddit, which topped its list in May, was gone.
Why "we're already doing Reddit" doesn't hold
Every engine decides for itself which sources it trusts, and it revises that quietly, on its own schedule. Your presence on a platform is only worth as much as the engines' current preference for that platform. When the preference changes, your visibility and citations in AI search get impacted significantly.
So "we're doing Reddit" was never a complete strategy. It was a short sighted a bet.
There's a second trap here, and we nearly fell into it ourselves. When we first pooled every answer we had, across all brands and the whole period, ChatGPT still showed Reddit in 19% of answers. That number mostly blends 80% and zero, and it describes neither. A dashboard that blends engines, or blends months, would have hidden this entire story.
What I'd tell those teams now
Map sources per engine, for your category. Find out which platforms and sites ChatGPT, AI Mode, AI Overviews, Gemini, Copilot, Perplexity, Claude and Grok actually cite for the questions your buyers ask. The answer is different for each engine and for each category. Our guide on how to track AI visibility covers the method.
Be present on several of the platforms that matter. On Google's engines, the seven platforms together lost little ground this summer. Reddit on its own lost more than half of its citations on AI Mode, and nearly all of them on ChatGPT.
Keep your own site worth citing. When ChatGPT stepped away from community platforms, it went to companies' own pages and official documentation. Your site is also the one source you fully control. For what ChatGPT looks for when it names brands, see how ChatGPT surfaces and mentions brands.
Check every month, engine by engine. The ChatGPT change played out between late May and mid-August. A quarterly check would have seen the before and the after, and none of the warning in between.
A note on scope
These are 30 questions from one category, AI search and visibility tools, over five months. Other categories have their own mix: in other categories we track, Google's engines lean far more on Instagram for a fashion brand, and on Quora for a study-abroad brand. The two extra question sets point the same way for ChatGPT and Reddit.
The method travels, even if the numbers don't: fix your questions, track each engine separately, and watch the mix over time. If you're weighing where to spend your AEO effort, our co-citation study is a useful companion: it shows why the pages an engine cites next to your brand are not always the pages that mention you.
