Something shifted in ChatGPT citations in August. Reddit went from turning up in 22.9 percent of the answers we logged to 3.3 percent. Plenty of people have written about that part already.
What we hadn’t seen anyone check is what filled the gap. For us it was government and regulatory pages, which roughly doubled over the same three weeks.
How we measured it
We logged 2,044 ChatGPT answers in two chunks: 1,434 between 21 July and 7 August, then 610 between 12 and 19 August. There’s a gap in the middle on purpose. ChatGPT’s search behavior changed around the 8th, and we didn’t want those messy days sitting in either half.
Same prompts, same brands, same platforms across both runs. That’s what makes the two numbers comparable at all. The brands sit in competitive categories, consumer health, ecommerce, B2B software, specialist retail, and we asked the questions buyers actually ask. It’s a benchmark, so treat it as a sample rather than a read on the whole web.
One thing before you line our numbers up against anyone else’s. We’re counting answers, so 22.9 percent means 22.9 percent of answers had at least one Reddit link somewhere in them. Most studies count citations instead, meaning the share of all links. An answer with three Reddit links counts once for us and three times for them, so our percentages run higher. Compare the direction and the ratios, not the raw levels.
The drop, and its shape
Reddit showed up in 329 of the first 1,434 answers, and 20 of the last 610. Day by day it didn’t taper off. It held around 20 to 26 percent right through 7 August, dipped to roughly 14 to 16 for a few days, then fell under 5 percent from the 12th and stayed down. On the 19th we didn’t log a single answer citing it.
Every brand we tracked moved the same way. The worst hit went from 42 percent of its answers citing Reddit to under 5. The one that barely leaned on Reddit anyway sat around 8 percent and went to zero. So no single account is dragging the average around, which is the first thing I’d want to know before trusting a number like this.
ChatGPT wasn’t retrieving less, either. Sources per answer actually went up, from roughly 10 to 12 before, to 12 to 15 after. More sources, almost none of them Reddit.
What moved in
This is what we actually went digging for, and it surprised us. We assumed demand for opinions doesn’t vanish, it just moves, so we expected review sites or YouTube or other forums to soak it up. They didn’t.
| Source type | Before (1,434 answers) | After (610 answers) |
|---|---|---|
| 22.9% | 3.3% | |
| Government and regulatory | 11.9% | 23.9% |
| Review platforms | 3.1% | 4.1% |
| YouTube | 0.8% | 1.3% |
| Wikipedia | 1.5% | 1.5% |
Government and regulatory pages went from turning up in about one answer in eight to about one in four. The raw counts make it clearer: 146 out of 610 answers after, against 170 out of 1,434 before. Barely any drop in the count, while the pool it came from more than halved. Review sites and YouTube crept up, but on numbers small enough that we wouldn’t make anything of them. Wikipedia sat still.
So ChatGPT traded a chunk of community opinion for official sources. If you’re in a regulated category that changes what you’re up against, because those pages aren’t yours and you can’t post on them.
The other assistants didn’t do this
Same brands, same prompts, same two windows, four other assistants:
| Assistant | Before | After |
|---|---|---|
| ChatGPT | 22.9% | 3.3% |
| Google AI Mode | 47.2% | 34.2% |
| Gemini | 42.1% | 27.9% |
| Perplexity | 54.4% | 67.6% |
| Claude | 0% | 0% |
Gemini and Google AI Mode both eased off Reddit too, by about a third and a quarter. That’s a real drop and we’d be pushing it to call them unchanged. What’s different about ChatGPT is the speed, a step down inside one week instead of a gradual slide.
Perplexity went the other way and cited Reddit more afterwards than before. We don’t know why. It does kill the simplest explanation, that Reddit got harder to crawl or lost ground across the web generally, because whatever happened clearly didn’t happen everywhere.
Claude never cited Reddit here at all, before or after, across 684 answers. That’s just how Claude sources things, not a change.
What we didn’t figure out
We don’t know the cause. The best explanation going is a change in how ChatGPT builds the background searches behind an answer. Promptwatch measured domain-scoped queries going from almost nothing to about one in six on 8 August. If a search is pinned to a named site, Reddit can’t come back from it, so it’d be cut before ranking even happens. Our numbers fit that. They don’t prove it. Search Engine Land has a decent explainer on how the fan-out step works if it’s new to you.
We also don’t know if it sticks. We’ve got eight days on the far side of the change. This stuff has moved before and it’ll move again.
And our sample leans toward categories where regulators exist in the first place. If you sell project management software there’s no federal agency page to cite instead. The doubling is real for what we measured, and I’d expect it to be a lot weaker where there’s no regulator in the picture.
What this means for you
Reddit being down is old news by now. The question worth asking is how much of your own visibility was sitting on it. If most of your AI mentions came through community threads, you lost a big piece of your surface in about a week, and you’d only find out by going and looking. If you were already getting cited through documentation, spec pages and regulatory filings, you probably came through fine.
You can check this before the next shift instead of after. Pull the sources behind the answers that mention you and sort them by type, the same way we sorted the sources five engines cite, then see how much of your presence leans on any one place. That concentration is the real risk, and it reads the same whether the next change favors forums, official pages, or something none of us saw coming.
