Mobile growth teams now have a third major paid channel to reason about. ChatGPT Ads joins Meta and Google as a place to acquire app users, and the instinct is to treat it like just another feed to buy. It is not. The intent, the format, and the way performance is measured all differ enough that copying your Meta playbook into ChatGPT will mislead you. This is a practical comparison of the three, written for teams deciding where the next dollar of install budget should go.
The Core Difference: Research Intent vs Scroll Intent
ChatGPT Ads serve at research intent, Meta Ads serve at scroll intent, and Google Ads serve at search intent. That single distinction explains most of how the three channels behave.
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On Meta, the user is browsing a feed. Your ad interrupts attention. Creative does the heavy lifting because demand is latent, not stated.
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On Google, the user typed a query. Intent is explicit and high, which is why search has always converted well, but the inventory is capped by how many people search your terms.
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On ChatGPT, the user is in a conversation, often actively comparing options or asking for a recommendation. The intent looks closer to search than social, but the format is conversational and the inventory is brand new, so competition, and price, are lower than Google on equivalent research queries.
For a mobile app, that means ChatGPT can reach a high-intent user earlier in their decision than Meta and often cheaper than Google, at least until the channel saturates.
Who Is on Each Channel and What They Are Doing
| Channel | User context | Best for |
|---|---|---|
| ChatGPT Ads | Researching, comparing, asking for recommendations | Reaching high-intent buyers before competitors own the placement |
| Meta Ads | Browsing a social feed | Demand generation at scale through strong creative |
| Google Ads | Actively searching a known need | Capturing explicit, high-intent demand |
None of these replaces the others. The strongest mobile growth programs run all three and let one source of truth referee the credit.
One audience note specific to ChatGPT: OpenAI shows ads only to logged-in free-tier users who are 18 or older, not to Plus, Pro, or Business subscribers. That is a large, adult, research-minded pool, but worth weighing if your product only sells to paying power users.
How Each Channel Targets and Prices
The buying models are as different as the intent:
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Google sells against exact-match and broad keywords, mostly on a CPC basis. You bid on the query.
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Meta sells against interests, lookalikes, and behaviors, mostly on a CPM or optimized-CPM basis. You bid on an audience.
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ChatGPT Ads sells against context hints, not exact keywords. You describe the conversations and topics where your app is relevant, and a relevance-weighted, second-price auction matches ads. You buy on CPM with a Reach objective or CPC with a Clicks objective, with a recommended starting CPC bid around $3 to $5. We break this down in ChatGPT Ads pricing explained.
Attribution Mechanics: How Each Platform Reports Installs
This is where teams get burned. Each platform reports installs in its own dashboard, using its own window, and each will happily claim the same user.
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Meta and Google report self-attributed installs and accept conversion signals back through their APIs and, on iOS, through SKAdNetwork. Their numbers almost never match each other because of overlapping windows and double-claiming.
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ChatGPT Ads is the new variable. There is no in-app SDK install on the web, so attribution runs through a tracking link: your ad's landing page is an MMP tracking link, the tracking parameters persist on the click, and the install is matched on first open via the install referrer. We walk through the full setup in how to measure and attribute ChatGPT Ads.
The only way to compare three channels fairly is to attribute all of them through one independent MMP that deduplicates claims. Otherwise you are adding up three platforms' self-reported wins and overspending against inflated numbers. This is exactly the problem attribution windows and deduplication exist to solve.
What Each Platform Does With Conversions
Where the channels differ today is what happens after you measure a conversion:
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Meta and Google accept conversion signals back through their APIs and SKAdNetwork, and their algorithms use those signals to optimize delivery toward users who convert.
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ChatGPT Ads offers conversion measurement: you tie installs, activations, purchases, and revenue back to the campaign, then optimize by reallocating budget toward what works. OpenAI has not publicly described a Meta-style feed-back-to-optimize loop, so treat the optimization as advertiser-driven for now.
The common thread is that you should measure real outcomes, not just installs, on every channel. Linkrunner attributes installs and revenue for all three in one dashboard, so ChatGPT Ads is measured as rigorously as your mature channels from day one.
CPI Benchmarks
It is early, and honest benchmarks for ChatGPT Ads do not exist yet at scale. What we see directionally is that ChatGPT CPI tends to undercut Google on comparable research queries because competition is thin, while quality, measured by activation and retention, holds up because the intent is high. We will publish hard numbers as the data matures across enough apps to be meaningful. Until then, benchmark ChatGPT Ads against your own Meta and Google CPI, not against a global average. For how to read CPI in context, see our cost per install benchmarks.
Which App Categories Win on ChatGPT Ads First
The categories that benefit earliest share one trait: their users already turn to ChatGPT to research a decision.
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SaaS and productivity tools, where buyers ask ChatGPT to compare options before installing.
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DTC and consumer apps with a clear, describable value that surfaces naturally in a recommendation.
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Utility and finance apps where users research before they trust an app with money or time.
If your audience is in ChatGPT every day asking the kind of question your app answers, ChatGPT Ads is likely worth a test budget now.
Run All Three in One Source of Truth
The takeaway is not "switch to ChatGPT Ads." It is "add ChatGPT Ads, and measure all three channels the same way." Run Meta for scaled demand, Google for explicit search demand, and ChatGPT for research-intent demand, then attribute every install through one MMP that deduplicates claims and gives you true cost per install and ROAS for each. For the channel basics, see how ChatGPT Ads work.
That is what Linkrunner does: ChatGPT Ads, Meta, and Google in one dashboard, with installs, CPI, and ROAS side by side, so budget moves toward the installs worth paying for. See how ChatGPT Ads attribution works, or start measuring for free.