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Short answer: none of the three wins outright, because they’re not really competing for the same moment. Google Ads captures people who already know what they want and typed it in. Meta Ads interrupts people who weren’t looking for you at all, at a very low cost per click. ChatGPT Ads reaches people somewhere in between — while they’re still describing the problem in their own words, before a search query even exists. On pure cost, ChatGPT Ads is currently the most expensive of the three in India. On buyer posture, it may be capturing something the other two structurally can’t.

Key takeaways:

• Meta Ads remains by far the cheapest channel in India for raw reach — independent benchmarks put it at roughly ₹2–25 per click, against ChatGPT Ads’ converted ₹285–475.
• Google Ads still wins for capturing people who’ve already decided what they’re looking for and are actively searching.
• ChatGPT Ads’ edge isn’t price. It’s reaching someone while they’re mid-decision, describing their situation in full sentences, before that decision becomes a search query at all.
• None of the three should replace another right now. The honest recommendation is to treat ChatGPT Ads as a fourth line item funded from experimentation budget, not a swap for what’s already working.
• OpenAI has published one disclosed example of a 3x ROAS ecommerce campaign over 28 days — a real, attributed data point, not a typical or guaranteed outcome.

A quick note on where these numbers come from, since it matters for how much weight to put on them: Google and Meta don’t publish an official India rate card — the figures below are synthesized from several independent benchmark aggregators, and we’ve cross-checked them against more than one source rather than taking any single agency’s number at face value. The ChatGPT Ads figures are OpenAI’s own published international bid guidance, converted to rupees, since no confirmed India-specific auction data existed as of this article’s publish date. None of these are quotes. Treat them as planning ranges.

The One-Line Answer for Each

Google Ads: captures people who already know what they’re looking for and typed it into a search box.

Meta Ads: creates interest in people who weren’t looking for you, at the lowest cost per click of the three.

ChatGPT Ads: reaches people while they’re still figuring out what they want, describing their situation in their own words rather than a search term.

What Each Platform Actually Sells

Every ad platform is really selling a different kind of signal about the person on the other end. Understanding which signal you’re buying matters more than comparing surface-level cost.

Google Ads — Captures Expressed Intent

Google Ads monetises a moment of explicit, typed intent: someone searched “best CRM for small business” or “root canal cost Mumbai,” and you can bid to appear next to that exact expressed need. It’s the closest thing digital advertising has to a rate card for demand — high-intent categories cost more precisely because that intent converts more reliably. A ₹400 click on “health insurance Mumbai” costs what it costs because insurers know, from years of data, roughly how often that exact search turns into a policy. The tradeoff is that you’re only reachable at the moment someone already knows what to type, which means Google Ads is structurally weak at creating demand that doesn’t exist yet — it can’t sell to someone who hasn’t realised they have the problem you solve.

Meta Ads — Sells Who You Are

Meta’s strength is audience and interest data built over more than a decade — age, behaviour, lookalike audiences, retargeting pixels that follow someone across Facebook, Instagram, and Reels. It doesn’t wait for someone to search; it interrupts a scroll with something it predicts you’ll want based on who you resemble. Someone who has never typed a single search query related to skincare can still see, and buy, a serum ad on Instagram because Meta has inferred enough about them from behaviour alone. That’s what makes it the strongest channel for building awareness of something people didn’t know they needed, and it’s also why it remains the cheapest of the three per click in India by a wide margin.

ChatGPT Ads — Sells What Someone Is Trying to Figure Out

ChatGPT Ads is selling something narrower than either: not who someone is, and not what they typed, but what they’re actively trying to work out, described in full sentences across a conversation. Someone asking ChatGPT to help them shortlist accounting software for a 15-person startup, or compare CRM tools while worrying about GST invoicing, is revealing far more about their actual decision than a two-word search query ever would. For the exact mechanics of how that gets matched to an ad, see our guide to how ChatGPT Ads work. The constraint is that this only exists inside a conversation someone chose to have — there’s no equivalent of typing a fresh search whenever you want.

Side-by-Side Comparison

For the full pricing breakdown behind the ChatGPT Ads column, including how we’re treating confirmed OpenAI guidance versus converted estimates, see our ChatGPT Ads cost in India guide.

Cost Comparison in India

On cost per click alone, this isn’t close: Meta Ads is the cheapest of the three by a wide margin, Google Ads sits in a much wider range depending entirely on how competitive your category is, and ChatGPT Ads’ converted international benchmarks currently land above both at the low end. A furniture retailer might pay ₹15 on Google while an insurance broker pays ₹400 for the same platform in the same month — the thirty-fold spread inside Google Ads alone is a reminder that “which platform is cheaper” is a much less useful question than “which platform is cheaper for what I sell.”

None of this makes ChatGPT Ads a bad deal on its own terms. A higher cost per click against a more qualified, further-along-in-their-decision click can still land a lower cost per lead than a cheaper click that never converts. It does mean you shouldn’t go into a ChatGPT Ads test assuming it’ll simply undercut what you’re already paying elsewhere — budget for it as a different kind of spend, not a cheaper version of the same spend.

Where ChatGPT Ads Win

The clearest way to see the difference is to watch the same underlying need show up in three different places.

Someone managing a 20-person remote team is losing track of deadlines and needs project management software. On Google, they might search “best project management software India” — already a commercial query, and Google competes for it well. On Instagram, they might simply scroll past a video of a distributed team organising its work in a slick dashboard, without having gone looking for software at all — Meta introduces the idea before the need was consciously formed. On ChatGPT, the same person might type: “I’m managing a 20-person remote team and we keep missing deadlines. What should I use to fix this?” That single sentence hands over the problem, the team size, and an implicit budget sensitivity — a far richer signal than either the search query or the passive scroll gave up, because the person is describing their actual situation rather than a category name.

That’s the shape of opportunity ChatGPT Ads is built around: software recommendations, education and upskilling, travel planning, professional services, considered ecommerce — anywhere the purchase benefits from being talked through rather than typed in two words. OpenAI has published one disclosed example of an ecommerce advertiser achieving a 3x return on ad spend across campaigns over 28 days, and a technology partner reporting that more than 80% of ad-driven ChatGPT traffic came from new customers rather than repeat ones. Treat both as real, attributed data points worth knowing about — not as a typical result you should expect to replicate.

Where Google Ads Still Win

Nothing beats Google Ads for capturing demand that already exists and is actively being searched for. If someone has typed “emergency plumber near me” or “buy iPhone 17 India,” they are one click away from a decision, and Google Ads remains the most mature, most measurable way to be there when that happens.

This is also, specifically, where Google has the most to lose over time — worth naming plainly rather than gesturing at vaguely. Gil Luria, technology research head at D.A. Davidson, told CNBC that buying an ad on ChatGPT is “the most equivalent to buying Google Search” from an ad buyer’s perspective, more so than it resembles a Meta or TikTok placement, and flagged Google Search as the platform most structurally exposed to ChatGPT Ads’ growth as OpenAI’s advertising business scales. That’s a specific, named, third-party read on the competitive dynamic — not OpenAI’s own framing of itself — and it’s worth taking seriously precisely because it comes from an analyst with no stake in ChatGPT Ads succeeding.

None of that changes the situation today. “Most exposed over time” is not the same as “already replaced,” and for pure expressed-intent capture at scale, Google Ads still does the job nothing else does yet. A business selling something people already know how to search for shouldn’t touch that budget based on a prediction about where things might head in a few years.

Where Meta Ads Still Win

Meta wins on cost, scale, and creative maturity. If your business needs to build awareness from a standing start — nobody’s searching for your brand name yet, and you need to put a product in front of people who might want it — Meta’s audience targeting and low per-click cost make it very hard to beat, especially for visual products and impulse-driven categories.

Consider a D2C skincare brand launching its first product. Nobody is searching “vitamin C serum from [brand nobody’s heard of]” yet — there’s no expressed intent to capture on Google, and no conversation happening on ChatGPT for an unknown brand to appear inside. Meta’s lookalike audiences and interest targeting can put that product in front of people who resemble existing buyers of similar products, at a fraction of what either of the other two platforms would charge per click, before any of the other signals even exist to sell against. A decade of ad-tech investment behind retargeting and creative testing tools isn’t something a brand-new channel replicates in its first year, however promising the underlying targeting logic is.

Measurement and Attribution — Why Comparing Platforms Is Harder Than It Looks

Before you run all three at once, it’s worth understanding why comparing them honestly is trickier than lining up three CPC numbers. Each platform measures itself generously, and each will happily take credit for a conversion that another channel arguably influenced first.

Google Ads and Meta both offer rich conversion and audience data back to advertisers — you can see which keyword, which audience segment, which creative drove a result, and both platforms’ own attribution models tend to credit themselves for anything within their tracking window. ChatGPT Ads, by contrast, currently shares only aggregate impressions and clicks with advertisers — no audience-level detail, no rich conversion breakdown inside the platform itself. That’s a genuine limitation for in-platform optimisation, but it also means ChatGPT Ads can’t quietly over-claim credit the way a same-platform dashboard sometimes does, since nearly all the real measurement work has to happen in your own analytics rather than inside OpenAI’s reporting.

The practical implication: don’t trust any single platform’s self-reported ROAS when comparing across all three. Build your own server-side or GA4-based view of the full funnel, tag every platform’s traffic with consistent UTMs from day one, and treat each platform’s native dashboard as a directional signal rather than a final verdict.

A Factor Most Comparisons Skip: How the Ad Actually Feels to the Buyer

Cost and targeting get most of the attention in comparisons like this one, but the experience of receiving the ad matters too, and it differs more between these three platforms than people expect. A Meta ad interrupts something someone was doing for another reason entirely — scrolling, catching up with friends, watching a Reel — which is precisely why it can feel intrusive even when it’s well-targeted. A Google ad sits inside a moment the person already initiated themselves, so it rarely feels like an interruption, just a competing option next to the one they were looking for.

A ChatGPT ad is a genuinely different shape of interruption: it appears after an answer the person specifically asked for, in a product people have historically associated with getting a straight response rather than a sales pitch. That’s part of why OpenAI has been visibly careful about the format — small, clearly labelled, placed after the answer rather than inside it, with an explicit “answer independence is non-negotiable” framing. Whether that carefulness is enough to keep user trust intact as the ad load scales up is a genuinely open question the industry is still watching, and it’s worth factoring into your own decision: a category where trust and credibility matter to the purchase (financial products, health-adjacent services, anything considered) may benefit from ChatGPT’s more restrained ad format precisely because the surrounding context still reads as trustworthy, at least for now.

The Buyer-Moment Framework — If You Sell X, Do Y

Rather than a generic feature comparison, here’s how we’d actually allocate a marginal rupee, based on what you’re selling and who’s buying it:

• If your buyer already knows what they want and searches for it by name or category (a specific service, a known product type, an urgent need) — prioritise Google Ads. That expressed intent is worth paying for, and no other channel captures it as directly.
• If your product needs to be discovered rather than searched for (a new D2C brand, an impulse-buy category, something nobody’s typing into a search bar yet) — prioritise Meta Ads. Low cost per click and mature audience targeting make it the most efficient way to build initial demand.
• If your category involves genuine comparison and back-and-forth research before a decision (software selection, considered purchases above a few thousand rupees, anything where a buyer would naturally ask a knowledgeable friend for advice) — test ChatGPT Ads alongside what’s already working, funded as an experiment, not a replacement.
• If your buyer is a senior enterprise decision-maker on a paid software seat — deprioritise ChatGPT Ads for now. Free and Go tier users are the only ones who see these ads; Plus, Pro, Business, and Enterprise subscribers don’t, which structurally excludes a meaningful share of high-value B2B buyers.
• If you’re testing paid media for the first time on a genuinely tight budget — start with Meta. The entry cost is lowest, and the platform has the most mature tooling for a first-time advertiser to learn on.
• If you’re already running Google and Meta profitably and have a dedicated experimentation budget — this is the actual right moment to test ChatGPT Ads. You have working benchmarks to compare against, existing tracking infrastructure to extend, and spare budget that won’t be missed if the first test doesn’t work. Testing from a position of strength, not desperation for a new channel, tends to produce more honest conclusions either way.
• If you sell something people spend days or weeks comparing before buying (real estate, higher education, enterprise software, financial products, automobiles) — this is the one situation where testing all three simultaneously, each with a defined role, genuinely makes sense. Google catches the explicit searches, Meta builds familiarity and retargets people who’ve already looked once, and ChatGPT reaches people mid-research. A single-platform strategy under-serves a decision this long.
• If your entire monthly ad budget is small — say, ₹30,000 or less — resist the urge to split it three ways “for diversification.” ₹10,000 each across Google, Meta, and ChatGPT leaves every platform with too little data to tell you anything, the same problem we’ve written about at length in our ChatGPT Ads cost guide: a test too small to learn from is worse than no test at all, because it feels like evidence when it isn’t. Put the whole budget behind whichever platform already matches your strongest existing customer signal, and add a second channel only once that one is actually working.

Can You Run All Three at Once?

Most established advertisers eventually will, and there’s no structural reason not to — but sequence it deliberately rather than launching all three simultaneously and hoping to sort out attribution later. Keep your existing Google and Meta spend exactly where it is; fund a ChatGPT Ads test from a separate experimentation line so a disappointing early result doesn’t get blamed on the wrong channel.

Before you spend a rupee on the test, write down an actual hypothesis, not just an intention. “Let’s try ChatGPT Ads” isn’t one — it doesn’t tell you what would count as the test working. Something like “we believe people researching accounting software for their startup are receptive to a comparison-focused landing page, and we want to know whether ChatGPT can deliver that traffic under ₹9,000 per qualified lead” is a hypothesis you can actually be proven right or wrong about. Write it down before you launch, not after you’ve already got a number you’re tempted to rationalise.

Use consistent UTM parameters across all three from day one, since each platform’s own attribution will happily take credit for the same conversion if you let it, and you’ll want a single source of truth (your own analytics, not any one platform’s dashboard) to settle disputes between them. Once ChatGPT Ads has a few weeks of real data behind it, compare its cost per qualified lead against your existing Google and Meta benchmarks on the same basis — not CPC to CPC, which we’ve already covered isn’t the useful comparison, but cost per outcome to cost per outcome.

One Thing This Comparison Doesn’t Cover: Getting Cited for Free

Everything above is about paying for placement on three platforms. There’s a separate, unpaid question worth knowing about: can your brand show up inside a ChatGPT answer itself, without buying an ad at all? That’s a different discipline — generative engine optimisation, or GEO — and it’s not something any of the three platforms above will sell you. We’ve covered the paid-versus-earned distinction in full in our guide to ChatGPT Ads and GEO, which is worth reading before you finalise a budget split, since the brands that do both tend to outperform the ones only doing one.

Not sure whether you’re even ready to run this test yet? Our ChatGPT Ads readiness checklist walks through the budget, category, and tracking prerequisites before you commit spend to any of this.

The Short Version, If You’re Deciding Right Now

The principle underneath all of it: don’t pick a platform because it’s new. Pick it because its signal matches the moment you’re actually trying to influence.

Not sure how to split your budget across three platforms, or which of them is actually worth testing for your category? Valentius Kryptix will build you a media plan based on your numbers, not a generic benchmark. Get a free media plan →

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