Every "how to get cited by AI" article treats "AI" as one thing with one mechanism. It isn't. ChatGPT, Google AI Overviews and Perplexity are three different products, built by three different companies, with wildly different user counts and — more importantly for a founder deciding where to spend time — genuinely different ways of deciding what to put in front of a reader.
This isn't another post about the mechanism of getting cited. We've written those; see what actually gets you cited by ChatGPT and Perplexity and why ChatGPT can't see your site if that's what you're after. This one is about the products themselves — who uses each, how big each actually is, and what each one draws from when it answers — so a small team can decide where limited effort has any chance of paying off before spending it.
The three, side by side
| ChatGPT (search/browsing) | Google AI Overviews | Perplexity | |
|---|---|---|---|
| Reach | 1B+ weekly active users (OpenAI, reported mid-2026) | Appears in an estimated ~25-45% of Google searches, depending on measurement firm and query type | ~230M monthly active users, 1B+ queries/month (Perplexity's own reported figures, early 2026) |
| What it's built on | Its own retrieval + browsing layer on top of a general model | Google's existing web index, enriched with authority/freshness signals | Its own retrieval layer, tuned toward recent and community content |
| Leans on | Wikipedia heavily among top cited sources | The same web index that ranks ordinary Google Search | Reddit and recent content heavily |
| Separate destination? | Yes — its own product, its own habit | No — a feature inside Google Search | Yes — its own product, smaller but growing fast |
The numbers are worth taking one at a time, because none of them are as clean as a single headline figure suggests.
How big is each one, honestly
ChatGPT is the outlier by scale. OpenAI reported ChatGPT crossing 1 billion weekly active users by July 2026, a figure that's been widely reported since. That's a number for the whole product, not just its search/browsing mode specifically — but it establishes the ceiling nothing else here gets close to.
Perplexity is a different order of magnitude. Per Perplexity's own reported figures, it passed roughly 230 million monthly active users in early 2026 and processes over a billion queries a month. That's real and growing fast — the same reporting put the company's valuation at over $20 billion — but it's a fraction of ChatGPT's reach. Treat Perplexity as a smaller, more specific audience, not a peer-sized alternative.
Google AI Overviews is the hardest of the three to pin to one number, and we're not going to pretend otherwise. Different measurement firms report different shares of Google searches that trigger an AI Overview in 2026 — estimates run from roughly a quarter to nearly half of searches, depending on methodology and query type. That's a wide range, and anyone quoting one exact percentage as settled fact is smoothing over a real disagreement between measurement methods. What isn't in dispute: Google Search's total query volume dwarfs ChatGPT's or Perplexity's own native search by a wide margin. That's the actual reason AI Overviews matters as much as it does — not because it's a large percentage of a small number, but because it's a meaningful percentage of the largest number in this comparison, applied inside a feature most people never consciously decide to use. Nobody opts into AI Overviews the way they open the ChatGPT app; it just shows up above the results they were already going to scroll past.
How each one actually decides what to show you
This is the part that should drive where you spend effort, because the three don't source answers the same way at all.
ChatGPT leans heavily on Wikipedia among its top cited sources. That doesn't mean Wikipedia is the only thing it cites, but it's a consistent pattern across citation studies, and it means an encyclopedic, neutral, well-structured presence — the kind of thing Wikipedia itself rewards — correlates with showing up in ChatGPT's answers more than flashier marketing copy does.
Perplexity leans the opposite direction: heavily toward Reddit and recent content. Perplexity is tuned to surface what real people are currently saying, not what a canonical reference source says. A product with an active, recent presence in relevant subreddits and forums has a genuinely different shot at a Perplexity citation than the same product with only a polished homepage — see why Wikipedia and Reddit are different, mostly-unreachable bets for what that actually takes.
Google AI Overviews doesn't have an independent retrieval system at all in the way the other two do — it's built on top of Google's own existing web index, enriched with authority and freshness signals layered on top of ordinary ranking. Practically, that means the things that get a page ranked in ordinary Google Search — indexation, authority, freshness, structure — are the same things that get a page pulled into an AI Overview. It's not a separate contest with separate rules; it's the same contest with an extra layer on top.
The consequence, worth stating plainly: only about 11-14% of domains cited by ChatGPT also get cited by Perplexity, per independent 2026 citation-tracking analyses. Whatever gets you into one of these products' answers is not reliably the same thing that gets you into the other's. Treat them as separate bets, because the data says they behave like separate bets.
Where to actually spend effort
Given all of that, here's a decisive ordering for a small team that can't chase all three equally.
Start with being crawlable and readable — this is non-negotiable for all three. If the AI crawlers behind ChatGPT and Perplexity can't get your actual content out of your page (client-side rendering with nothing in the initial HTML is the classic failure — see why ChatGPT can't see your site), none of the sourcing-behavior differences above matter, because you were never a candidate to begin with. This is the one universal prerequisite. Check yours with the AI-readable site tool before anything else on this list.
If you can only do one more thing, do ordinary SEO — for AI Overviews specifically. Because AI Overviews is built on Google's existing index rather than a separate retrieval system, classic SEO fundamentals — the things that get you ranked in ordinary Google Search — carry more weight here than they do for ChatGPT's or Perplexity's citation behavior. This is the one case on this list where "just do normal SEO" is a legitimate, specific AI-visibility strategy rather than a vague deflection. Given that AI Overviews sits on top of the search engine with by far the largest total query volume of the three, this is usually the highest-leverage single move available to a small team.
Treat ChatGPT and Perplexity as separate, smaller bets — not extensions of your SEO work or of each other. If you have the bandwidth to chase citation specifically inside these products, know what you're chasing: a Wikipedia-style, structured, neutral presence tends to correlate with ChatGPT citation more than pure marketing copy does; an active, recent presence in relevant community discussion (Reddit foremost) tends to correlate more with Perplexity. But given the 11-14% overlap figure above, doing well in one is not a reasonable basis for assuming you'll do well in the other, and neither is a reasonable basis for assuming your Google AI Overview presence will follow. A team with genuinely limited time should pick based on where its actual audience already is — Reddit-heavy technical audience, lean toward Perplexity's sourcing habits; broad consumer audience, ChatGPT's reach alone probably makes it worth the baseline effort regardless.
Don't mistake any of this for a guarantee. Nothing here is a mechanism proven to make any of these three name your product. It's a way to prioritize limited effort given what's actually observable about how each product finds its answers — reach, sourcing pattern, and how much they overlap with each other. That's a real basis for a decision. It is not a promise.
One thing that helps regardless of which of these three you prioritize: an independent listing that describes your product consistently with how you describe it everywhere else. It won't cause a citation on its own — nobody can currently show that any single action does — but a free LetsLaunch listing is a low-cost way to add one more consistent, crawlable description of your product to the web, which is the one thing that correlates (not causes) with being named, across all three products discussed here.
Frequently asked questions
Should a founder pick just one of ChatGPT, Google AI Overviews or Perplexity to focus on?
Not entirely, but the priority order should reflect the numbers above. Get crawlable first, since it's a prerequisite for all three. Then lean toward ordinary SEO, because it's the one strategy that specifically helps with Google AI Overviews, which sits on top of by far the largest search volume of the three. Only after that does it make sense to chase ChatGPT- or Perplexity-specific citation habits, and those two should be treated as separate efforts from each other, not one combined push.
Is Google AI Overviews the same kind of thing as ChatGPT or Perplexity?
Not really, and that distinction matters for where you spend effort. ChatGPT and Perplexity are both independent products with their own retrieval systems and their own habit-forming destinations. Google AI Overviews is a feature inside ordinary Google Search, built on Google's existing web index rather than a separate retrieval system — which is why classic SEO carries more weight there than it does for the other two.
Does doing well in ChatGPT citations mean I'll also do well in Perplexity?
No, and the data says the opposite is closer to true. Independent 2026 citation-tracking analyses put the overlap between domains cited by ChatGPT and domains cited by Perplexity at only about 11-14%. ChatGPT leans on Wikipedia-style sourcing; Perplexity leans on Reddit and recent content. Treat them as separate bets rather than assuming one strategy transfers to the other.