Reddit powers 40% of AI answers. And 1.93%.

If you have read anything about getting your brand mentioned by ChatGPT, you have seen the number: Reddit powers 40% of AI answers. It gets quoted in pitch decks, in agency proposals, and in most of the articles selling you a way to appear in those answers.

It is a real figure from a real study. So are all of these:

All four describe the same internet. They disagree by a factor of twenty because each one is dividing by something different, and almost nobody says which.

Here is how you know these are not shares of anything: the same Semrush dataset that produces the 40% figure reports Reddit at 141.20% in business services. A share of citations cannot exceed 100%. It is a share of answers that contain at least one, which is a different and much less impressive thing.

This matters because the conclusion changes completely depending on which number you picked. If Reddit is 40% of AI answers, you should be posting on Reddit tomorrow. If it is 3.11% of citations, it is the largest slice of an extremely long tail. Both are true. Neither is the whole story, and the real story is more useful than either.

Reddit is there because of a contract, not an algorithmCopy Anchor Link

The reason Reddit appears so often is not that language models find it especially wise. Google pays Reddit a reported $60 million a year for data access. OpenAI reportedly pays around $70 million. Ahrefs, digging through 1.4 million ChatGPT prompts, found Reddit has its own dedicated retrieval type inside ChatGPT's system — 16.18 million data points under a label no other domain gets.

That is architecture, not merit. Reddit is privileged because somebody signed for it.

Which also means it is not permanent. In July 2026, Reddit's stock fell around 9% on reports that the Google deal might not be renewed, and Reddit has been pushing for variable rather than fixed compensation. The pipeline everyone is optimising for is a commercial agreement, currently being renegotiated.

We have already seen what happens when the terms move. In September 2025, Reddit's share of citations fell from roughly 7% to roughly 1% — measured by Profound across four billion citations, and independently corroborated by Semrush, which watched Reddit's presence in ChatGPT responses collapse from about 60% to about 10% in the same month. Wikipedia fell too.

Two vendors with different methods, different datasets, and no incentive to agree, both recorded the same cliff. Any single-point statistic about Reddit and AI has a shelf life measured in weeks.

The gap between what gets read and what gets creditedCopy Anchor Link

Here is the finding that changed how we think about this, and the one we have seen nobody build an argument on.

Reddit is cited in 1.93% of the cases where a Reddit URL is retrieved. And 67.8% of every non-cited URL in Ahrefs' dataset is Reddit.

Read that again. ChatGPT pulls enormous volumes of Reddit into its context and then mostly does not link it. The content is being read. It is shaping the answer. It is simply not getting a footnote.

Every AI visibility tool on the market counts citations, because citations are what you can count. If most of Reddit's influence happens before the citation step, those tools are measuring the visible tip of something considerably larger — and reporting the tip as the whole.

We think that is the strongest available argument for watching conversations rather than counting citations, and we want to be careful about how far we push it. It is a strong inference from good data, not a measured fact. Nobody has instrumented the inside of a model to prove it.

What actually gets cited is not what you would guessCopy Anchor Link

When Semrush looked at 248,000 Reddit URLs across 217,000 prompts, the profile of a cited Reddit post turned out to be almost the opposite of a successful Reddit post.

• Median upvotes: 5 to 8
• 80% of cited posts have fewer than 20 upvotes
• Average age: around 900 days
• Median length: about 80 words
• Question-and-answer threads: over half of all citations

The threads getting quoted back to buyers are two and a half years old, eighty words long, and have single-digit upvotes. They are somebody asking a narrow question and somebody else answering it properly.

You cannot buy that. You cannot campaign your way to it. A viral post is, on this evidence, close to irrelevant — the mechanism rewards a specific answer to a specific question, sitting undisturbed for years.

Thirteen words can steer it, which is the uncomfortable partCopy Anchor Link

The only genuinely causal evidence in this entire field comes from a security paper rather than a marketing study.

Researchers at Cornell Tech demonstrated an attack they call WARP: appending roughly 13 words to a single frequently-retrieved Reddit or Wikipedia page produced retrieval rates of 57–76% and citation rates of 38–51%. Seeding across a subreddit reached 30–53%. They tested it live against open-source deep-research agents, and analysed — without attacking — the citation patterns of commercial ones.

So community text does causally steer what an assistant recommends. That is established. It is also the reason this is not a growth tactic we would suggest, and not one that will keep working.

Reddit and its moderators are already pushing back. Reddit says it now blocks 23 million spam views and revokes nearly two million inauthentic votes a day, and moderators of a large SaaS subreddit banned promotional posts outright in June 2026 after a flood of marketing campaigns hit the community. The marketing industry noticed the citation pipeline at roughly the same moment Reddit noticed the marketing industry, and only one of those parties owns the platform.

There is also a case study worth reading before anyone gets clever. A marketing firm published a proud write-up of seeding around 100 organic-looking posts across gaming subreddits. Reddit found the write-up. It went badly, publicly, and the post is gone. The blog post was the evidence.

Why AI visibility rank tracking is mostly measuring noiseCopy Anchor Link

A category of tools now sells you a number for how visible your brand is in AI answers. The number is real in the sense that something was counted. It is much weaker than it looks.

SparkToro and Gumshoe ran 2,961 prompt executions across ChatGPT, Claude and Google AI with 600 volunteers. The reproducibility:

• Under 1 in 100 chance of getting the same list of brands twice
• Around 1 in 1,000 for the same list in the same order

Semrush, across 126 million prompts and 1,200 brands, found that only 36 brands appeared in the top-100 most-mentioned list on every platform in every month. It also found only about 25% overlap in cited sources between ChatGPT's own reasoning modes — the same product, the same question, a different setting.

So: "your AI visibility rose three points this month" is, at typical sample sizes of 50 to 200 prompts, most likely noise. "Your AI ranking is #3" is close to meaningless given the reproducibility. And "share of voice across AI platforms" is not comparable across platforms at all, because ChatGPT cites around 15 sources per response and Gemini around 3.

The honest version of this metric is presence, not position: does the brand appear in the consideration set at all, measured across many repetitions, reported with a confidence interval. SparkToro's framing — top brands appearing in 55–77% of responses regardless of phrasing — is the right shape.

What nobody knows, which is worth saying out loudCopy Anchor Link

We went looking for several things that get asserted constantly and found nothing behind them.

No AI company has published ranking signals. Not OpenAI, not Google, not Anthropic, not Perplexity. The widely-circulated "seven ranking signals Perplexity uses" and the "48–72 hour freshness boost" trace back to vendor blogs and no further. Google's own documentation says the opposite of what the category sells: there are no special optimisations for AI Overviews, and eligibility is being indexed and snippet-eligible.

No study segments AI citations by query intent. The claim that Reddit jumps to 40%+ specifically on product-comparison queries — which would be the single most relevant fact for anyone reading this — appears only on vendor blogs with no methodology. Profound's study explicitly does not segment by query type. This is the biggest hole in the field and we could not fill it.

The founding GEO paper does not say what it is quoted as saying. Its famous "up to 40% visibility boost" was measured in 2023 against a generative engine the authors built themselves — GPT-3.5 summarising the top five Google results — using metrics they invented, in a five-source setup where one source's gain is mechanically another's loss. It is a real, peer-reviewed result. It is not evidence about ChatGPT in 2026. Its most useful finding is the one nobody quotes: keyword stuffing performed worse than doing nothing.

And there is no reliable search volume for the terms themselves. The figures in circulation were generated by asking Perplexity rather than a keyword tool. Both acronyms are also hopelessly ambiguous — "GEO" means geography, and "AEO" is a stock ticker.

What we would actually doCopy Anchor Link

The best correlational evidence available comes from Ahrefs, across 75,000 brands. Against mentions in Google AI Overviews:

• Branded web mentions: ρ = 0.664
• Branded anchors: 0.527
• Domain Rating: 0.326
• Backlinks: ρ = 0.218

Unstructured brand mentions out-predict backlinks by roughly three to one. The authors are careful, and so are we: these are correlations, on one platform, and large brands have more of everything. But the direction is consistent with everything else here.

Which points somewhere fairly unglamorous. The thing that appears to matter is being mentioned accurately, by other people, in threads where somebody asked a real question — and being there before the thread goes cold, because the thread you answer today is the one that gets quoted in 2029.

That is a listening problem, not an optimisation problem. You cannot write your way into a two-year-old Q&A thread you were never part of. You can find the one being written this afternoon.

What FishOut does, and what it does notCopy Anchor Link

We should be straight about this, because the category is not.

FishOut does not measure what an AI says about your brand. We do not track your ChatGPT visibility, we do not report a share of voice in Gemini, and we are not going to add a number we cannot stand behind. Given the reproducibility figures above, we think most of those numbers are noise sold as insight.

What we do is watch the conversations those systems read. Ten platforms, including the Reddit and Hacker News threads that are disproportionately retrieved, scored so the ones actually asking a question reach you while the thread is still live. You reply as yourself, from your own account, disclosed — we draft, and never post.

That is a narrower promise than the AEO tools make. On this evidence it is the one that holds up.

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Every figure here is linked to its source. The two Reddit-and-AI studies most people quote — Profound's and Semrush's — disagree with each other in useful ways, and Profound's was conducted in collaboration with Reddit, which is worth knowing when you read it. If we have got something wrong, tell us and we will correct it in place.