ChatGPT Ads in 2026, Updated August: oCPC, Audiences, OAIQ Pixel

ChatGPT Ads is six months old and the platform planners evaluated in May no longer exists. Since the May 5 self-serve launch, OpenAI has added a conversion-optimized objective (oCPC), custom audiences from email and phone lists, US state, DMA and ZIP targeting, platform targeting, automatic advanced matching, one-day view-through reporting, and self-serve Ads Manager in nine countries including Canada. On August 18 it announced 31 European markets, opening August 24 through agency and technology partners first. Ads still reach only Free and Go users, which is the constraint that decided our own June test: 8,940 impressions, 58 clicks, a 0.65% click-through rate, and no lead. This guide was first published May 6, 2026 and rewritten August 20, 2026 against OpenAI's current documentation; every change is dated in the section that follows.

This is a field guide to what ChatGPT Ads is today, how the buying mechanics work, what advertisers can and can't control, what the measurement stack actually looks like, and where the platform stands relative to the discovery channels planners already know. For the strategic framing of what this shift means for agencies, see our companion piece, ChatGPT Ads Are Live: The AI Answer Is the New Ad Unit.

What changed between May and August 2026

Six items in this guide were true on May 6 and are not true now. Each is corrected in its section below; this is the dated list.

• Europe (announced August 18, live August 24). OpenAI is adding 31 European countries, "including Germany, France, Spain, Italy, Sweden, Norway, Denmark, the Netherlands, and Austria." Access is "through the OpenAI Ads Solutions team, agency partners, and technology partners" first, with "self-service access through Ads Manager" to "follow later this summer." Digiday names the buying partners as Publicis, Omnicom, WPP, Havas, Dentsu and MediaPlus.
• A third objective: Conversions (oCPC). OpenAI "expanded beyond CPM and CPC bidding to support conversion optimization." The campaign optimizes toward one standard conversion event, bills per valid click, and takes a Bid Cap per ad group that is "the maximum amount you are willing to bid for a conversion." Custom events are not supported, and existing CPM or CPC campaigns cannot be converted.
• Custom audiences. Email or phone lists, raw or SHA-256 hashed, up to 5,000,000 identifiers per upload, usable for campaign inclusion, campaign exclusion, or ad-group bid multipliers. Each audience needs at least 25,000 matched users before it can be used; OpenAI recommends 100,000.
• Geo and platform targeting. Campaign-level country targeting plus, in the United States, state, DMA, and ZIP targeting; the API exposes country, region, and DMA. A Platforms control limits delivery to iOS app, Android app, or web.
• Measurement got deeper. Automatic advanced matching is on by default for new web pixels and hashes form data with SHA-256 in the browser. One-day view-through conversions report separately as VTA (1d). Reported totals "may include modeled conversions where available." Attributed conversions take 24 to 48 hours to appear.
• Self-serve is no longer US-only. OpenAI's availability table lists Ads Manager as Available in Australia, Brazil, Canada, Japan, Korea, Mexico, New Zealand, the United Kingdom, and the United States, and Coming Soon across the 31 European markets. Digiday reports the US$50,000 minimum from the spring launch "has since been dropped."

OpenAI says "tens of thousands of marketers have now advertised on ChatGPT." One independent measurement arrived in the same window: SE Ranking analysed 50,006 commercial prompts and found that 14.35% of ChatGPT ads "had no topical connection to the prompt," and that the advertiser appeared as a cited source in the answer in 3.63% of placements, against 11.53% in Google AI Mode.

A snapshot of where things stand

What ChatGPT Ads actually is

When eligible users on the Free or Go tiers ask ChatGPT a question (planning a dinner party, comparing software, researching a trip), they may now see a sponsored card below the answer. The card shows an advertiser name, favicon, headline, short description, image, and a link to a destination page. It is clearly labelled as sponsored, and OpenAI's policy is explicit that ads cannot influence the assistant's answer.

Inventory is narrower than headline ChatGPT user numbers suggest. Ads do not appear for paid Plus, Pro, Business, Enterprise, or Education subscribers, and they are excluded from accounts identified as under 18. OpenAI also offers eligible users an "Ads-Free" option on the Free tier in exchange for lower usage limits, which trims available impressions further. A company spokesperson told reporters earlier this year that fewer than 20% of eligible users were being shown ads daily during the pilot, which is useful context when sizing the channel.

The single ad format documented today is called a chat_card. It carries a 3-50 character title, up to 100 characters of body copy, an image, a favicon, and a target URL. There is no publicly documented self-serve video, carousel, or interactive format yet, although OpenAI has signalled that more formats will follow.

How buying works

Three campaign objectives are available: a CPM-priced Reach objective, a CPC-priced Clicks objective, and, since the summer, a Conversions objective (oCPC) that bills per click while bidding toward a tracked conversion event. All three run through a relevance-weighted, second-price auction, which means bids are only one input; ad and landing-page relevance to the user's conversation also factor into ranking. Budgets, dates, and country targeting are set at the campaign level; bids and context hints are set at the ad-group level.

Public guidance on pricing is high-level. The table below summarises what is currently published and what external reporting suggests about real-world cost.

OpenAI has not published average CPC, CPM, CTR, CPA, or ROAS benchmarks by vertical ("ChatGPT Ads does not yet have performance benchmarks across advertisers, industries, or campaign types"), so any media plan today should treat efficiency assumptions as provisional. The US$50,000 minimum from the spring launch has been dropped, and a daily budget is now the recommended starting control: OpenAI warns that a campaign-total budget "is a total spending limit, not a pacing control" and "spend may accumulate quickly."

The oCPC rules worth knowing before you build: the objective and the conversion event are locked at creation, one standard event per campaign, no custom events, and a Bid Cap that is "not the price charged for a conversion or a guaranteed achieved cost per acquisition." Conversion tracking has to be live before the campaign exists.

Targeting and creative

This is the area most likely to surprise planners coming from Google Ads or Meta. The most important distinction to keep straight is between signals that shape delivery internally at OpenAI and controls that advertisers can explicitly configure.

Context hints are explicitly described as broad thematic guidance, not exact-match keywords, and OpenAI recommends writing them as descriptions of the questions, needs, or situations users bring to ChatGPT. Advertisers also do not receive any user data: chats, names, emails, IP addresses, and precise locations stay inside ChatGPT. Custom audiences work the same way in reverse: you upload a list, OpenAI matches it, and "Ads Manager does not show individual matched users." The 25,000 matched-user floor rules the feature out for most local businesses; a regional B2B list or an e-commerce customer file is the realistic use.

The creative implication is straightforward: this channel rewards specific, intent-matched offers far more than generic brand messaging, and squarely favors conversion optimization practice. OpenAI's own guidance pushes advertisers to build many distinct creative variations, write benefit-led titles and descriptions, and link to the most relevant page rather than a homepage.

The campaign workflow

The end-to-end setup process for a new advertiser, drawn from OpenAI's onboarding and quickstart material:

1. Create advertiser account
2. Complete verification
3. Set account info and favicon
4. Add billing profile and payment method
5. Invite team members and generate API keys if needed
6. Create campaign
7. Choose objective (CPM, CPC, or oCPC with its conversion event), dates, budget, locations, platforms, and any custom audiences
8. Create ad groups
9. Add context hints and bids
10. Upload creative asset
11. Create ads with title, body, image, target URL
12. Submit for review
13. Serve if approved
14. Monitor in tables, charts, CSV, or Insights API
15. Optimise bids, context hints, ads, and landing pages

Operationally, the major friction points today are verification, policy review, and beta feature gaps. Ads Manager supports guided creation, bulk upload, performance monitoring, in-line and bulk edits, member permissions, billing, API keys, and change logs; public docs stop short of detailing review SLAs or the full bulk-upload schema.

Measurement and the pixel

For a beta platform, the measurement stack is more developed than the buying controls. Ads Manager exposes impressions, clicks, spend, CTR, average CPC, average CPM, and conversions, with table views, charts, and CSV export. An Insights API provides programmatic access to performance data at the ad account, campaign, ad group, and ad level. The capability matrix below summarises what is and isn't there today.

For conversion tracking, OpenAI offers two complementary mechanisms.

The JavaScript pixel (distributed as a small SDK called OAIQ, currently version 0.1.3) handles browser-side event collection. When a user clicks a ChatGPT ad and lands on the advertiser's site, the SDK sets a first-party cookie called __oppref on the merchant's domain with a 30-day (720-hour) lifetime, then posts subsequent event data to OpenAI's measurement endpoint. Because the cookie is first-party (set on your domain, not OpenAI's), it isn't subject to the same browser restrictions that have hollowed out third-party cookie attribution over the last few years. Independent reverse-engineering analyses describe the attribution payload as built around encrypted tokens (oppref, olref, an ad_data_token, and a server-side spam-integrity payload), but planners can treat that as plumbing rather than something they need to operate.

A practical quirk: OpenAI generates the pixel for the advertiser based on what they need to track, rather than letting advertisers freely write their own measurement code. This keeps event taxonomy consistent across the platform but also means changes to your tracking go through OpenAI's tooling, not yours.

The Conversions API is the server-to-server alternative. OpenAI explicitly describes it as more reliable than the pixel alone, and it supports deduplication when you reuse a common event ID across browser and server events. Out of the box, it accepts events from web, mobile_app, offline, physical_store, phone_call, and email action sources, meaning CRM and offline-conversion use cases are technically possible, though OpenAI has not yet published native first-party connectors for major CRM, MMP, or CDP platforms. The pragmatic posture for serious testers is to run pixel and Conversions API together, with a shared event ID on key conversions, and let deduplication handle the overlap. If your team isn't confident the underlying tracking is clean before the test starts, see Why Your Conversion Tracking Probably Breaks Once a Quarter.

Two reporting facts matter for anyone reading early results. Attributed conversions take "24-48 hours" to appear, so a two-day-old campaign is not yet measurable. And the Conversions total "includes click-through conversions only"; view-through is a separate VTA (1d) column that "does not affect CPA, post-click conversion rate, bidding, billing, or conversion optimization." What is still not documented: multi-day windows, lift studies, and incrementality tooling.

Crawlers and landing pages

OpenAI's documented expectation is that ChatGPT ads landing pages must be valid and must not block two specific user-agents: OAI-AdsBot and OAI-SearchBot. This is worth understanding because aggressive bot management at the edge (Cloudflare, Akamai, AWS WAF) can quietly break ad approvals before any human at your agency notices.

OpenAI now publicly documents four distinct crawlers, each with a separate purpose:

• OAI-AdsBot is the validation crawler. It only visits pages submitted as ChatGPT ads, checks them against OpenAI's ad policies, and uses the page content to assess relevance for ad serving. Its user-agent string is Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko); compatible; OAI-AdsBot/1.0; +https://openai.com/adsbot. OpenAI states data collected by OAI-AdsBot is not used to train its generative models. Unlike the other three crawlers, OpenAI has not yet published a JSON IP range list at openai.com/adsbot.json, which means edge-level filtering currently has to rely on user-agent matching rather than IP verification.
• OAI-SearchBot powers ChatGPT's search and citation features. Allowing this bot is what lets your pages surface inside ChatGPT's organic answers. Blocking it removes you from those results.
• GPTBot is the training crawler. This is the one to block if you do not want your content used in training future OpenAI models; blocking it has no effect on whether your ads run or whether you appear in ChatGPT search.
• ChatGPT-User fetches pages on demand when a logged-in ChatGPT user asks the assistant to look at a specific URL. Because visits are user-initiated, robots.txt may not always apply.

The practical takeaway is that these are independent tokens. Blocking one does not block the others, and allowing one does not allow the others. A baseline robots.txt that lets ads work while keeping training opt-out intact looks like:

User-agent: GPTBot
Disallow: /

User-agent: OAI-SearchBot
Allow: /

User-agent: OAI-AdsBot
Allow: /

User-agent: ChatGPT-User
Allow: /

If you front your site with a CDN or WAF, also confirm that OAI-AdsBot is not being challenged or rate-limited by managed bot rules. Until OpenAI publishes an IP range file, the safest approach is to allow the user-agent string explicitly in your bot-management ruleset and monitor server logs for visits.

Eligibility, geography, and policy

Two eligibility lenses matter here, and they don't fully agree.

On the user side, ads have rolled out from the February US pilot through Canada, Australia, New Zealand, the UK (June, agency-led), Mexico, Brazil, Japan and South Korea, with 31 European countries starting August 24. Ads are shown only to Free and Go users, and only to accounts not identified as under 18.

On the advertiser side, the availability table now lists self-serve Ads Manager as Available in Australia, Brazil, Canada, Japan, Korea, Mexico, New Zealand, the United Kingdom, and the United States. Canadian advertisers can sign up directly at ads.openai.com; the May version of this guide told them to expect a partner path or a wait, and that is no longer the case. European advertisers buy through the partner list until self-serve follows "later this summer."

Policy is the most underrated planning constraint. Allowed categories are still concentrated in lifestyle and household goods, local services, travel and experiences, and digital products or education. Dating and sexual content, alcohol and tobacco, gambling, and political content remain disallowed. Health and financial services have moved from disallowed to restricted: in the US, OpenAI "may allow ads from approved advertisers on a case-by-case basis" for a named list that includes dental services, hospitals and urgent care, health insurance, medical testing, consumer medical devices, auto loans, credit cards, deposit accounts, financial planning, insurance, and investment services, with proof of licensure possibly required. Outside the US, "ads for health services" and "ads for financial services" are "generally prohibited." For a Canadian clinic or advisor the practical answer is still no.

OpenAI also bars ads from sensitive conversation contexts entirely, including child safety, self-harm, hate, weapons, terrorism, mental health, emotionally reliant interactions, and politics, which puts a real ceiling on inventory in a way feed-based platforms don't have.

Early performance signals

Hard, comparable performance benchmarks from advertisers are not yet public, but a few directional data points have emerged.

OpenAI says trust metrics in the user experience have not been negatively affected by ads and that ad dismissals are low. Reuters has reported that the US pilot crossed roughly US$100 million in annualised revenue within six weeks and that more than 600 advertisers participated. Criteo, a launch tech partner, has said that across a sample of 500 retailers it observed, LLM-referred traffic converted at roughly 1.5x the rate of other referral channels, consistent with the platform's intent-rich positioning. Individual brand pilots, including VistaPrint's, have stayed under wraps.

These are channel-level and partner-level signals, not standardised campaign benchmarks. Two advertiser-level data points have since been published, one of them ours.

SE Ranking's two-week test (reported by MediaPost, August 11): three campaigns, eight ad groups, 48 ads across the US, Canada, Australia, and New Zealand, aimed at SEO agencies and in-house specialists. Result: "more than 97,000 impressions and 1,263 clicks, with an average click-through rate of 1.30%," "very few sign-ups," and delivery so uneven that "the two largest ads received around half of all impressions." Their diagnosis was audience eligibility: "the more someone looks like our ICP, the more likely they're on a paid, ad-free plan."

Our own test ran June 8 to June 25, 2026: two CPC-bid lead-generation campaigns (Ontario and Alberta) and one CPM-bid campaign, all pointing at our AI marketing service page, with the OAIQ pixel and Conversions API wired through GTM and our own server so a qualified lead would have reported back. Account-level: 8,940 impressions, 58 clicks, 0.65% click-through rate, CA$7.16 average cost per click (the account bills in Canadian dollars; an earlier version of this guide mislabeled these figures US$). The two CPC-bid campaigns cleared at CA$4.42 and CA$4.88 per click with click-through rates of 1.18% and 0.79%. The CPM-bid campaign delivered the most impressions (4,293) at a 0.26% click-through rate, which works out to CA$18.18 per click, roughly four times the CPC-bid price for the same destination. Lead forms submitted from those 58 clicks: none. We paused all three on June 23 for the same reason SE Ranking stopped: the buyer we want (an owner or marketing lead evaluating an agency) is disproportionately on a paid, ad-free plan, so the eligible inventory is the wrong half of the audience. The mechanics worked. The audience did not.

Where it fits, by goal

The table below maps each common media goal to the platform's current capability and the kind of test scope that is realistic given today's constraints. Suggested budget ranges are estimates of what is needed to generate statistically useful early signal at current bid guidance; they are not OpenAI-published recommendations.

The pattern: ChatGPT Ads is best when the user is already in a research, comparison, or decision mindset and your offer can be expressed clearly in one short card pointing to a tightly relevant page. It is weakest when the buyer is a professional on a paid ChatGPT plan, or when scale, granular audience control, or mature attribution are the primary requirements; that work still belongs to a mature Google Ads program. Google is running its own September version of this shift: Search campaigns with legacy match-type or asset settings begin auto-upgrading to AI Max, and the Google AI Max Field Guide is this guide's companion volume, with the audit queries and readiness gates for that migration.

Where the gaps are

Several capabilities planners reasonably expect from a mature ad platform are still not there: more than one self-serve creative format; demographic, lookalike, and site-retargeting controls; multi-day attribution windows and lift studies; native CRM, MMP, and CDP connectors; published vertical benchmarks; and any way to reach paid-plan users. Three gaps from the May list have closed since: custom audiences, sub-country geo targeting, and self-serve access outside the US.

OpenAI says it will keep adding "new formats, optimization tools, and measurement solutions," and the partner ecosystem (agency holdcos Dentsu, Omnicom, Publicis, WPP, Havas and MediaPlus, plus tech partners Adobe, Criteo, Kargo, Pacvue, and StackAdapt) is filling some of the operational gaps in the meantime.

The bottom line for planners in August 2026

ChatGPT Ads in its current form is best understood as an assistant-adjacent contextual channel that sits closer to search-intent media than to social or programmatic display. It rewards specific, well-targeted consumer offers in categories where users actively research and compare. It is not yet a substitute for platforms that depend on rich audience controls, mature attribution, or large creative formats, and it cannot reach anyone on a paid ChatGPT plan, which for B2B is the buyer.

The practical posture is straightforward: treat ChatGPT Ads as an experimental line in the media plan rather than a core channel, scope budgets and KPIs accordingly, wire up the OAIQ pixel and Conversions API before the campaign exists so oCPC is available to you, confirm your robots.txt and edge bot-management rules allow OAI-AdsBot and OAI-SearchBot, check whether your buyer is on a paid plan before you spend a dollar, and watch for the European self-serve date and the first vertical benchmarks. Scoping a test like this, then keeping or killing it on the numbers, is exactly the kind of channel evaluation an AI marketing program exists to run.

The platform is still being built in public. The honest read in August 2026 is that the buying and measurement stack has caught up with what planners need, and the audience has not: until paid-plan users are reachable, this is a consumer channel with B2B-shaped tooling.

Sources checked for the August 2026 update

• OpenAI, ChatGPT Ads expands across Europe (2026-08-18)
• OpenAI Help Center, Ads in ChatGPT: The Basics, Ads Manager Availability, Create Campaigns, Conversion-optimized Campaigns, Custom Audiences, Conversion Measurement, Measure Results, FAQ
• OpenAI developer docs, Campaign Targeting and Ad Policies
• Digiday, OpenAI's ads business hits Europe at the six month mark (2026-08-19)
• MediaPost, ChatGPT Serves Ads In Results On Irrelevant Topics, Data Shows (2026-08-11)
• Choice OMG OpenAI Ads account insights (campaign flight 2026-06-08 to 2026-06-25) and lead records

All external sources were scraped and checked on 2026-08-20.

If you want a straight read on whether your tracking, robots.txt, landing-page stack, and creative would actually hold up to a ChatGPT Ads test (and whether the channel fits your current media mix at all), we offer a no-obligation audit. You get a written findings document on what's working, what isn't, and what would actually move the number.

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For related reading, see ChatGPT Ads Are Live: The AI Answer Is the New Ad Unit, The AI Max Field Guide, The Google Ads Job Changed in 2026, and our work on AI marketing and Google Ads management.