ChatGPT Ads Agentur
für B2B SaaS, IT & Tech
Introduction
ChatGPT is becoming more than an AI assistant.
For millions of users, it is increasingly a place where research, comparison and decision-making happen.
People use ChatGPT to ask questions such as:
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Which project management software is suitable for a 300-person company with complex resource planning?
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What are the best alternatives to our current CRM for a European B2B SaaS company?
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Which cybersecurity vendors should we evaluate for a mid-sized enterprise?
This creates an advertising environment fundamentally different from traditional search or social media.
Instead of reaching users based only on a keyword, demographic attribute or professional profile, ChatGPT Ads can reach people in the context of what they are currently trying to understand, solve or decide.
OpenAI describes ChatGPT Ads as a way for advertisers to reach users while they are exploring options, comparing alternatives and making decisions inside ChatGPT.
Ads are displayed separately from ChatGPT's answers and are clearly identified as sponsored content.
For marketers, this introduces a new category of paid acquisition: conversational advertising.
And for B2B companies in particular, it could become an important new layer between traditional search advertising, paid social and AI-driven product discovery.
Table of Contents
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Frequently Asked Questions about ChatGPT Ads
What are ChatGPT Ads?
ChatGPT Ads are paid advertisements displayed inside ChatGPT.
They can appear below a ChatGPT response when OpenAI's advertising system determines that an advertiser may be relevant to the context of the conversation.
A standard ChatGPT ad can include:
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advertiser name
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company favicon or logo
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headline
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description
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landing-page link
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image creative
Ads remain visually separate from the actual ChatGPT response.
That distinction is important.
Advertisers cannot pay to influence ChatGPT's answers.
OpenAI states that advertising runs separately from the system generating ChatGPT answers, advertisers cannot influence or rank themselves inside those answers, and ads are clearly labeled as sponsored placements.
So there are now effectively two different ways a company might become visible around a ChatGPT conversation:
1. Organic visibility through GEO
Your company, product or content is referenced naturally because ChatGPT considers it useful to the answer.
2. Paid visibility through ChatGPT Ads
Your company appears in a separate sponsored placement associated with the conversation.
The two should not be confused.
Why ChatGPT Ads matter
Digital advertising has traditionally relied on three major types of signals.
Search intent
Google understands what somebody searches for.
A query such as: project management software provides a relatively clear commercial signal.
But it still contains limited context.
Audience intent
Platforms such as LinkedIn understand characteristics of the user.
For example:
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job title
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company
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industry
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seniority
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company size
That makes LinkedIn especially powerful for B2B targeting.
Conversational intent
ChatGPT introduces something different.
A user might explain:
"We have around 300 employees and run more than 80 concurrent projects. Our biggest problem is that project managers continuously compete for the same specialists. We need software that combines portfolio management with resource planning. What should we evaluate?"
That conversation contains substantially more context than a traditional keyword.
It can reveal:
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the user's problem
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requirements
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constraints
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company context
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existing alternatives
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stage of evaluation
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possible purchase intent
This richer context is one of the fundamental reasons ChatGPT Ads are strategically interesting.
OpenAI explicitly positions the platform around these moments of exploration, comparison and decision-making.
How do ChatGPT Ads work?
At a simplified level, ChatGPT Ads work through four layers.
2. The user has a conversation
Someone asks ChatGPT questions or explores a topic.That conversation creates contextual information about what the person is trying to accomplish.
2. OpenAI evaluates eligible ads
The advertising system evaluates ads that could be relevant.OpenAI says delivery may take into account signals including:
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the context and intent of the current conversation
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the advertiser's landing page
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ad title
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ad description
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advertiser-provided context hints
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targeting selections
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and, where ad personalization is available and enabled, selected signals from a user's broader ChatGPT experience
3. Relevant advertisements can appear
Eligible sponsored placements can appear below the ChatGPT response.
4. The user can interact with the advertisement
Depending on the format, users can click through to the advertiser's website or interact with the sponsored unit.
.
ChatGPT Ads do not work like traditional keyword advertising
One of the biggest mistakes advertisers can make is treating ChatGPT Ads like another version of Google Search Ads.
OpenAI does allow advertisers to provide context hints.
But context hints are not exact-match keywords.
They are descriptions that help OpenAI understand:
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what your product offers
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who it is useful for
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what problem it solves
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which conversations may be relevant
OpenAI specifically recommends describing real needs and situations rather than simply entering disconnected keywords.
For example:
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Weak context hint: project management software
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Better context hint: Enterprise project and resource management software for organizations coordinating multiple simultaneous projects and shared specialist resources.
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Even stronger intent context: Relevant when project leaders or PMOs are evaluating software to identify resource bottlenecks, prioritize portfolios or coordinate specialist capacity across multiple projects.
The advertiser is therefore moving away from "Which keyword should we bid on?"
toward "In which situations should our solution become relevant?"
That is an important strategic shift.
From keywords to intent clusters
For B2B advertisers, we recommend structuring ChatGPT campaigns around intent clusters rather than large keyword lists.
An intent cluster represents a type of situation in which a potential customer might need your product.
Consider a project portfolio management platform.
Problem intent
The user recognizes a problem but does not necessarily know the solution category yet.
Examples: Our projects are constantly competing for the same resources.
We cannot see whether we have enough capacity for the projects planned next quarter.
Solution intent
The user knows approximately what type of solution could help.
What software can help us manage resources across multiple projects?
Evaluation intent
The user is actively evaluating solutions.
Which PPM software is suitable for an enterprise with 500 employees?
Comparison intent
The user compares vendors or approaches.
What are the differences between vendor A and vendor B?
Alternative intent
The user is considering replacing an existing solution.
What are alternatives to [competitor]?
Purchase intent
The user is close to a commercial decision.
Which enterprise project management vendors should we shortlist?
These different conversations should not necessarily receive the same ad.
The closer your message matches the user's underlying situation, the more useful the ad can become.
--> For a deeper look at campaign architecture, read our Guide to ChatGPT Ads for B2B and intent targeting.
How ChatGPT Ads are structured
OpenAI Ads Manager follows the familiar hierarchy:
Campaign → Ad Group → Ad
Campaign
The campaign defines the broader commercial goal.
Campaign settings can currently include:
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campaign name
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objective
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conversion event
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budget
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start and end dates
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geography
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platform targeting
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custom audience inclusion or exclusion
Ad group
Ad groups organize related themes, use cases or intents.
This is also where context hints become particularly important.
For example:
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Campaign: Enterprise Project Management Software
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Ad Group 1: Resource Planning
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Ad Group 2: Portfolio Prioritization
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Ad Group 3: Project Risk
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Ad Group 4: PPM Software Evaluation
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Ads
Each ad contains the actual message and creative shown to eligible users.
OpenAI recommends creating multiple distinct variations rather than repeating essentially the same message.
ChatGPT Ads campaign objectives
ChatGPT Ads have evolved quickly since the original pilot.
Advertisers can currently work with three major buying or optimization models:
OpenAI currently describes these as CPM, CPC and conversion-optimized CPC objectives.
CPM
You pay based on impressions.
This can make sense for:
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category awareness
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product launches
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broad discovery
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brand visibility
CPC
You pay for valid clicks.
This is more directly comparable to traditional performance campaigns.
It is suitable when the goal is:
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website traffic
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content downloads
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product research
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landing-page visits
Conversion-optimized CPC (cCPC)
OpenAI also supports campaigns designed to optimize toward downstream actions after someone clicks the ad.
Potential conversions include:
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lead submission
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registration
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purchase
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account creation
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demo request
Conversion optimization requires sufficient measurement infrastructure.
What do ChatGPT Ads cost?
The average Cost-Per-Click (CPC) for ChatGPT ads generally ranges from $3 to $6 for B2B campaigns, though niche or higher-competition targeting can push effective costs up to $13 per click
B2B advertisers find these early ChatGPT CPCs are typically one-third or less of comparable high-intent Google Search benchmarks (which often exceed $20+ for industrial/software terms).
OpenAI explicitly states that the platform is still early and does not yet provide generalized performance benchmarks across industries or campaign types.
Costs depend on factors including:
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objective
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advertiser bids
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competition
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relevance
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audience
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market
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campaign setup
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creative
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landing-page quality
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available inventory
The platform supports CPC and CPM buying, with conversion optimization also available.
Minimum campaign budget
For EUR-denominated campaigns, OpenAI currently lists a minimum daily budget of €15.
That is a technical minimum, not necessarily a recommended testing budget.
For B2B advertisers, a meaningful test should normally generate enough delivery across several:
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intent clusters
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creatives
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ad groups
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messaging angles
to produce interpretable results.
Daily budgets versus campaign-total budgets
Advertisers can work with daily or campaign-level budgets.
OpenAI explains that a daily budget should be understood as an average daily amount across a seven-day period, rather than an absolute same-day cap.
Spend can therefore be higher or lower on individual days as the system attempts to pace delivery.
OpenAI has also introduced improved pacing for campaign-total budgets, designed to distribute spending more evenly over the scheduled campaign period. This was included in the latest advertiser update shared by OpenAI.
For campaign managers, this means daily variance should not automatically be interpreted as poor budget control.
Where are ChatGPT Ads available?
The platform began with a U.S. test in February 2026 and has expanded rapidly.
On August 18, 2026, OpenAI announced expansion into 31 European markets.
On August 31, OpenAI updated the announcement to confirm that self-service Ads Manager access was available across those European markets.
As of September 2026, OpenAI's advertiser availability list includes self-service access in countries including: Germany, Austria, Switzerland, United Kingdom, France, Spain, Italy, Netherlands, Belgium, Sweden, Norway, Denmark, Poland ,Ireland, India, Japan, South Korea, Australia, Canada, Brazil, Mexico, United States as well as additional markets across Europe, the Middle East and North Africa.
ChatGPT Ads are now a practical acquisition channel for advertisers targeting the DACH region.
Who sees ChatGPT Ads?
Ads currently appear for eligible users on the:
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Free plan
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Go plan
OpenAI states that ads are not shown to users on:
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Plus
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Pro
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Business
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Enterprise
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Edu
and are not shown to accounts identified as belonging to users under 18.
This is an important consideration for B2B advertisers.
ChatGPT Ads do not mean that every corporate ChatGPT Enterprise user can suddenly be reached with advertising.
Your reachable audience consists primarily of users accessing ad-supported versions of ChatGPT.
That makes testing and measurement especially important for niche B2B categories.
ChatGPT Ads in Europe: an important privacy difference
European advertisers should also understand that ChatGPT's ad personalization framework differs by region.
OpenAI states that personalized ads are not initially available in the European Economic Area or Switzerland.
That does not mean contextual advertising disappears.
Ads can still be selected based on factors including:
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the current conversation
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language
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broad location
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campaign targeting
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advertiser context hints
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ad content
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landing-page relevance
The distinction matters because conversational context should not be confused with traditional behavioral profiling.
Do advertisers get access to ChatGPT conversations?
No.
This is one of the most important facts companies should understand before evaluating the channel.
OpenAI states that advertisers do not receive:
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ChatGPT conversations
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chat history
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memories
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names
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email addresses
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precise location
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IP addresses
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sensitive personal information
Advertisers instead receive campaign-performance information such as views and clicks.
So advertisers should not imagine ChatGPT Ads as a system where they can read what individual users are saying.
The conversation helps OpenAI determine relevance.
It is not handed over to the advertiser.
ChatGPT Ads Targeting Options
ChatGPT Ads combine several targeting and relevance signals rather than relying on traditional keyword targeting alone.
Current campaign and ad-group settings can include:
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Geographic targeting
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Platform targeting
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Custom Audiences
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Context hints
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Campaign-level targeting settings
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Ad and landing-page relevance signals
The exact capabilities can vary by market and may continue to evolve as OpenAI expands Ads Manager.
Geographic targeting
Advertisers can target supported countries and, depending on the market, more specific regions.
For B2B companies, this makes it possible to separate campaigns by market, for example:
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Germany
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Austria
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Switzerland
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United Kingdom
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France
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United States
This is especially useful when messaging, offers and landing pages differ by region.
Platform targeting
ChatGPT Ads can be targeted across:
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Web
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iOS
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Android
This allows advertisers to analyze whether performance differs by device or platform.
Context hints
Context hints are one of the most distinctive targeting elements in ChatGPT Ads.
Instead of defining only keywords, advertisers describe situations in which their product or service may be relevant.
For example:
Weak context hint --> Project management software
Stronger context hint --> Enterprise project and resource management software for PMOs managing multiple projects, shared resources and capacity constraints.
The purpose is to help OpenAI understand the kinds of conversations in which the advertiser may be relevant.
Custom Audiences
Advertisers can also use first-party audience data through Custom Audiences.
Depending on the campaign setup, Custom Audiences can be used for:
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Audience inclusion
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Audience exclusion
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Bid adjustments
This creates opportunities for remarketing, customer exclusion and first-party data activation.
Targeting is not the same as keyword matching
This is one of the most important differences between ChatGPT Ads and Google Search Ads.
With Google Ads, advertisers often target explicit search queries.
With ChatGPT Ads, relevance can be based on a broader combination of:
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Current conversational context
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User intent
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Context hints
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Campaign targeting
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Ad messaging
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Landing-page relevance
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Eligible audience signals
For B2B marketers, this means campaign planning should start with buyer situations and intent clusters, not with a long keyword list.
Recommended B2B targeting approach
For a first campaign, we recommend structuring targeting around three layers:
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Market: Where is the target customer located?
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Audience: Do you want to include, exclude or prioritize known first-party audiences?
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Intent: In which problems, research situations or buying scenarios should your product become relevant?
This creates a stronger campaign structure than treating ChatGPT Ads as a traditional search campaign.
Custom Audiences
One of the most important recent additions for performance marketers is Custom Audiences.
Advertisers can upload first-party audiences based on identifiers such as:
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email address
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phone number
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hashed email
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hashed phone
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Google Advertising ID / GAID
Custom audiences can be used for three important purposes.
Inclusion
Restrict campaign eligibility to known prospects or customers.
Exclusion
Prevent existing customers or unsuitable audiences from receiving ads.
Bid adjustments
Advertisers can increase or decrease bids when a user belongs to a specific audience.
OpenAI currently supports bid multipliers between 0.1x and 10x at the ad-group level.
Important Custom Audience thresholds
There is an important B2B limitation.
OpenAI currently requires at least 25,000 matched users for audience inclusion or bid adjustment.
For exclusions, smaller audiences below 25,000 matched users can be used.
OpenAI recommends at least 100,000 users for inclusion targeting or bid adjustments.
This matters for account-based marketing.
A highly focused ABM list with only several thousand contacts may therefore be useful for exclusion but may not qualify for direct inclusion targeting.
Recent Custom Audience improvements
OpenAI has expanded Custom Audience management.
Advertisers can now:
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add audience members
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remove members
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replace audience members
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mix supported identifier types
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maintain audiences without rebuilding them
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create audiences beyond five million members
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use GAID
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use audiences under 25K for exclusion
These updates make first-party audience activation increasingly viable.
Reporting available in ChatGPT Ads Manager
OpenAI currently reports metrics including:
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impressions
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clicks
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spend
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CTR
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average CPC
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average CPM
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conversions
Performance can be reviewed at:
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campaign level
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ad-group level
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ad level
Ads Manager provides:
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table reporting
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charts
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CSV exports
This makes it possible to compare intent groups and creative variants rather than treating ChatGPT Ads as an opaque black box.
View-through conversions
Another important development is view-through conversion measurement.
For eligible accounts, OpenAI can report one-day view-through conversions.
This means a user:
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sees an eligible ad,
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does not click it,
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converts within one day,
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and no qualifying click receives attribution.
These view-through conversions are currently reported separately from standard click-through conversions.
OpenAI has also announced that it plans to introduce a new conversion-optimization model incorporating view-through conversions into optimization.
According to the latest platform update, this model will use impression-based billing while optimizing delivery toward a selected conversion goal. The functionality is still rolling out and should therefore be treated as upcoming rather than universally available today.
Product feeds and carousel ads
ChatGPT Ads are not limited to single static ad units.
OpenAI also supports product-feed campaigns designed primarily for retail and catalog advertisers.
These allow product catalogs to be uploaded and used to create ads at scale. OpenAI states that product-feed campaigns have been among the strongest-performing ads in the program to date.
For B2B SaaS companies, this format will often be less important than intent-driven standard campaigns.
But it demonstrates that the ad ecosystem is already expanding beyond a single creative format.
New carousel reporting
OpenAI's latest advertiser update also introduced more detailed reporting for multi-product carousel campaigns.
Reporting can include:
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carousel-card impressions
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carousel-card clicks
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product-level insights
A carousel card impression is counted when an individual product card becomes viewable.
Importantly, these card-level impressions are separate from the billable ad-impression count.
OpenAI states that full data became available from August 20, 2026, on a rolling 30-day basis.
ChatGPT Ads Manager
Campaign management takes place through OpenAI Ads Manager Beta.
Advertisers can currently use Ads Manager to:
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create campaigns
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create ad groups
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create ads
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bulk upload campaigns
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manage billing
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manage users and permissions
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review reporting
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access API keys
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export data
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manage audiences
The interface remains a beta product, so advertisers should expect frequent changes.
ChatGPT Ads Manager is now available inside ChatGPT
One of the most interesting recent changes is the ChatGPT Ads Manager plugin.
The OpenAI-developed plugin enables advertisers to work with Ads Manager through ChatGPT itself.
It can help with tasks such as:
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finding advertising accounts
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reviewing campaigns
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analyzing performance
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reviewing conversions
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creating ads
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uploading creatives
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managing campaign entities
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troubleshooting delivery
OpenAI's update also describes the ability to use natural-language instructions to turn a website or campaign brief into ad concepts, create variants and review recommendations before applying changes.
This is strategically important.
Advertising management itself is becoming conversational.
Instead of manually navigating dozens of campaign settings, advertisers may increasingly be able to say:
Analyze our last 30 days of ChatGPT Ads and identify the three ad groups with the weakest CTR.
or:
Create three new ad variants based on our landing page but emphasize resource planning instead of portfolio management.
That potentially changes how agencies and internal teams operate.
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ChatGPT Ads Manager Plugin
OpenAI has introduced a ChatGPT Ads Manager plugin that allows advertisers to manage parts of their advertising workflow directly through ChatGPT.
Instead of navigating only through the traditional Ads Manager interface, marketers can use natural-language instructions to work with campaigns, ads and performance data.
The plugin can support tasks such as:
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finding advertising accounts
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reviewing campaigns
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analyzing campaign performance
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reviewing conversions
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creating new ads
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creating ad variants
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uploading creatives
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updating campaign elements
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troubleshooting delivery issues
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identifying performance problems
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generating prioritized optimization recommendations
According to the latest OpenAI advertiser update you shared, the plugin can also turn a website or campaign brief into ready-to-launch ad concepts, create variants and recommend changes. Before changes are applied, the plugin previews the recommended actions and asks for confirmation.
Campaign management becomes conversational
The biggest change is not simply that Ads Manager becomes easier to access.
It introduces a new way of managing advertising campaigns.
Instead of manually reviewing dozens of tables and settings, a marketer could increasingly ask questions such as:
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Which campaigns had the highest cost per conversion during the last 30 days?
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Show me the ad groups with high spend but no conversions.
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Create three new ad variants for our best-performing intent cluster.
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Compare performance between our resource planning and portfolio management campaigns.
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Recommend budget changes but do not apply them yet.
This makes campaign management itself more conversational.
Why this matters for B2B advertisers
For B2B advertisers, the plugin can reduce operational work around campaign management.
However, it does not replace the strategic parts of advertising.
The most important decisions still include:
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Which ICP should we target?
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Which buyer problems matter?
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Which intent clusters should we test?
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Which value proposition should we communicate?
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Which landing page should match each intent?
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Which conversions actually indicate qualified pipeline?
The easier campaign execution becomes, the more important these strategic decisions become.
What this means for agencies
For agencies, tools such as the ChatGPT Ads Manager plugin shift value away from manual campaign setup and toward:
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campaign strategy
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intent mapping
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positioning
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messaging
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creative development
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conversion strategy
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experimentation
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performance interpretation
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cross-channel optimization
The difficult part is increasingly not: “How do we create the campaign?” but: “Which buyer situation should we target, what should we say, and what should happen after the click?”
That is where specialized B2B expertise becomes particularly valuable.
What makes a good ChatGPT Ad?
ChatGPT is a very different environment from an Instagram feed or a Google results page.
Creative strategy should reflect that.
OpenAI recommends:
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clear messaging
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specificity
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practical benefits
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explaining who the product is for
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explaining when the product is useful
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multiple distinct ad variations
In other words: relevance beats generic advertising language.
Weak versus strong B2B ChatGPT Ads
Weak
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Headline: Transform Your Projects Today
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Description: Discover our innovative next-generation platform.
The problem is obvious.The message tells the system and user almost nothing.
Better
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Headline: Plan Resources Across Every Project
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Description: Enterprise PPM for PMOs managing shared resources, portfolios and project capacity.
Now the system can better understand:
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what the product does
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who it serves
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where it is relevant
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And the user immediately understands why the advertisement might matter.
Build multiple ads around the same product
Do not create five advertisements that effectively say the same thing. Instead, create different value propositions.
For a project management platform, you might test different messaging angles:
The underlying product remains the same. The conversational entry point changes.
Landing pages matter more than many advertisers expect
OpenAI includes the landing page among the signals considered when evaluating advertisement relevance.
That means the landing page is not simply the destination after the click.
It can also contribute to the advertising system's understanding of the offer.
For B2B advertisers, that means generic homepages are rarely ideal.
Instead, align landing pages to the intent cluster.
For example:
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Conversation: How do we identify resource bottlenecks across our project portfolio?
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Ad: See resource bottlenecks before they delay projects.
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Landing page: A page specifically explaining resource and capacity planning.
That creates a coherent chain:
conversation → ad → landing page → conversion
A practical ChatGPT Ads campaign structure for B2B
Suppose a company sells enterprise project-management software.
A stronger campaign architecture might look like this:
Campaign 1: Resource & Capacity Management
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Ad Group 1
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Resource bottlenecks
-
-
Ad Group 2
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Capacity planning
-
-
Ad Group 3
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Skill management
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Campaign 2: Portfolio & Multiproject Management
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Ad Group 1
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Project prioritization
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Ad Group 2
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Portfolio visibility
-
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Ad Group 3
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Multiproject planning
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Campaign 3: Software Evaluation
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Ad Group 1
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PPM software comparison
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Ad Group 2
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Enterprise project-management alternatives
-
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Ad Group 3
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PMO software selection
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This is much closer to conversational buying behavior than creating one generic campaign named:
“Project Management Software.”
Why ChatGPT Ads are particularly interesting for B2B
B2B purchases are rarely impulsive.
They often involve:
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complex problems
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multiple stakeholders
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lengthy research
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product comparisons
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integrations
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technical requirements
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implementation questions
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budget considerations
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risk evaluation
These are precisely the types of topics that naturally generate longer conversations.
For example, a buyer evaluating CRM software might not simply ask: CRM software
They might ask: We have a 60-person B2B sales organization across Germany, France and the UK. We need strong Salesforce integration but want something easier for sales managers to administer. Which CRM platforms should we evaluate?
For an advertiser, this is qualitatively different from a two-word keyword.
ChatGPT Ads vs GEO
This distinction will increasingly matter. GEO
Generative Engine Optimization aims to increase the likelihood that a company, product, data point or piece of content becomes useful to generative AI systems organically.
The objective is: earn visibility inside the answer.
ChatGPT Ads
ChatGPT Ads are paid placements. The objective is: buy relevant visibility around the conversation.
A mature AI-discovery strategy can therefore include both.
GEO
Build the authority and information architecture that helps AI systems understand and reference your company.
ChatGPT Ads Create paid campaigns around high-value conversational intent.
The same concept already exists in search: SEO + Google Ads
The emerging equivalent could increasingly become: GEO + ChatGPT Ads
ChatGPT Ads vs Google Ads
ChatGPT Ads are not a replacement for Google Ads.
They address a different behavioral signal.
Google Ads
A user enters: PPM software
The advertiser receives a search-intent signal.
ChatGPT Ads
A user explains: Our PMO manages 70 simultaneous projects, but resource conflicts are making our planning unreliable. Which project portfolio management platforms should we consider?
The environment potentially contains significantly more situational context.
Google's strength remains:
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explicit searches
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enormous search volume
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mature attribution
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established keyword economics
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highly developed optimization systems
ChatGPT's strength is potentially:
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richer conversational context
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problem-oriented research
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comparison moments
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exploratory buying journeys
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complex decision support
The question therefore should not be: Should we stop Google Ads and run ChatGPT Ads?
It should be: Which moments in the buyer journey are best suited to each channel?
That is also the positioning already established on your commercial ChatGPT Ads agency page.
ChatGPT Ads vs LinkedIn Ads
The difference is equally important for B2B marketing.
LinkedIn excels at identifying who somebody is.
For example:
Head of PMO
Germany, Manufacturing
500–5,000 employees
That is extremely powerful B2B audience data.
ChatGPT can potentially add another dimension: What is that person trying to accomplish right now?
A simple way to think about the three channels is:
For sophisticated B2B demand generation, these channels can complement each other rather than compete.
Which B2B companies should test ChatGPT Ads?
The channel may be especially interesting for:
B2B SaaS companies
Particularly where users research specific problems, features or competing platforms.
Examples:
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project management
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CRM
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HR software
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ERP
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EPM
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marketing technology
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cybersecurity
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analytics
-
AI software
IT and technology companies
Especially when buyers need to understand technical trade-offs before selecting a provider.
Enterprise software companies
Long sales cycles can create many research and comparison moments before a buyer speaks to sales.
Consulting firms
Potential clients frequently begin with the problem rather than the provider.
For example: How do we migrate away from Oracle Hyperion? rather than: Hyperion consulting company.
Specialized B2B service providers
The more clearly a service maps to a recognizable business problem, the more interesting intent-based advertising can become.
When ChatGPT Ads may be less attractive?
Not every B2B company should immediately shift budget into the channel.
Be cautious when:
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your total addressable audience is extremely small
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your buyer population is unlikely to use ad-supported ChatGPT plans
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your product requires very narrow account-level targeting
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you have no conversion tracking
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your landing page cannot convert cold traffic
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you cannot generate multiple messaging hypotheses
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you expect mature-channel benchmarks immediately
ChatGPT Ads are still in beta.
OpenAI itself emphasizes that features, inventory, optimization capabilities and reporting will continue to evolve.
For most B2B companies, the correct approach in 2026 is therefore: structured experimentation, not blind budget migration.
Weak versus strong B2B ChatGPT Ads
Weak
Headline: Transform Your Projects Today
Description: Discover our innovative next-generation platform.
The problem is obvious.
The message tells the system and user almost nothing.
Better
Headline: Plan Resources Across Every Project
Description:Enterprise PPM for PMOs managing shared resources, portfolios and project capacity.
Now the system can better understand:
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what the product does
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who it serves
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where it is relevant
And the user immediately understands why the advertisement might matter.
Benchmarks for CPC and CTRs for ChatGPT Ads
For B2B ChatGPT Ads, there still aren’t official cross-industry benchmarks from OpenAI. OpenAI explicitly says the platform is too early to publish reliable advertiser-wide benchmarks, so any CPC/CTR numbers should be treated as directional early-market data, not hard standards.
A reasonable benchmark range right now is:
One early dataset based on eight active advertiser accounts reported 0.8%–1.2% CTR for B2B SaaS, with CPCs around $4.50–$7.20 for category-research campaigns and $5.50–$9.00 for comparison queries. OpenAI itself recommends starting CPC campaigns with a maximum bid of about $3–$5 per click, although the actual CPC can be higher in competitive B2B contexts.
Your fictional Planora Ads Manager screenshot showing CTR around 0.9%–1.5% is therefore actually quite believable. I’d use something like this if you want realistic-looking example data:
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Resource & Capacity Planning: 1.25–1.45% CTR
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Portfolio Management: 0.95–1.20%
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PPM Software Comparison: 1.15–1.50%
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Enterprise PMO: 0.70–0.95%
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Broad Project Management: 0.65–0.90%
For CPC, I’d make the fictional dashboard roughly:
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$4.50–$5.50 = strong / efficient
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$5.50–$7.00 = healthy B2B range
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$7–$9 = plausible for high-intent comparison/evaluation traffic
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$9+ = worth investigating unless lead quality is excellent
How to launch your first ChatGPT Ads Campaign
A good first test should follow a structured sequence.
Step 1: Define the business objective
Decide what the campaign should actually accomplish.
Examples:
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generate demo requests
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acquire leads
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generate qualified website traffic
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promote a lead magnet
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increase awareness in a new category
Step 2: Define your ICP
Especially for B2B, document:
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industries
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company size
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business problems
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buying committee
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market
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use cases
Step 3: Map conversational intent
Identify the questions a buyer might ask before discovering your company.
Think about:
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pain
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solution
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comparison
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alternatives
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evaluation
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purchase
Step 4: Build ad groups around intent
Do not place unrelated use cases into a single ad group.
Step 5: Write several ad variants
Each should address a different reason why the product might matter.
Step 6: Align landing pages
Keep the message consistent between conversational intent, advertisement and destination.
Step 7: Implement conversion tracking
Use:
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OpenAI Pixel
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Conversions API where relevant
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UTMs
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GA4
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CRM attribution if possible
Step 8: Launch
Check:
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billing
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account verification
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campaign status
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creative approval
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dates
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tracking
Step 9: Analyze intent performance
Evaluate not only which ad won, but which intent category performed.
Step 10: Scale what works
Shift more budget toward combinations of: intent + ad + landing page that produce qualified outcomes.
Which metrics should B2B advertisers monitor?
A sensible measurement framework includes several levels.
Delivery
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impressions
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spend
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CPM
Engagement
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clicks
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CTR
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CPC
Conversion
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conversions
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conversion rate
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cost per conversion
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cost per lead
Lead quality
For B2B, this is where the real answer lies.
Measure:
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MQLs
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SQLs
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opportunities
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pipeline generated
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qualified pipeline per € spent
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eventually revenue
A ChatGPT Ads campaign with a higher CPL could still outperform another channel if the resulting leads convert into pipeline at a higher rate.
Do not evaluate ChatGPT Ads only by CTR
Early-channel testing often creates a temptation to obsess over front-end metrics.
But B2B companies should avoid optimizing solely for:
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cheapest CPC
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highest CTR
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most clicks
A low-cost click from low commercial intent may be less valuable than an expensive click from somebody actively evaluating a solution.
Ultimately, your question should be: Which conversational contexts produce commercially meaningful outcomes?
That is the metric that matters.
What role can first-party data play?
Custom Audiences create interesting opportunities for B2B companies with sufficiently large databases.
Examples include:
Excluding existing customers
Avoid paying to acquire users you already have
.
Prospect nurturing
Use sufficiently large prospect databases as inclusion audiences where thresholds are met.
Value-based bidding
ncrease bids when a user belongs to a high-value first-party audience.
Customer expansion
Potentially build campaigns around relevant upsell or cross-sell scenarios.
However, the current 25,000 matched-user threshold for inclusion means that many narrow enterprise ABM lists will still be too small.
ChatGPT Ads and account-based marketing
The platform does not currently replace LinkedIn or dedicated ABM platforms for narrow account targeting.
LinkedIn remains stronger when you need to reach: CFOs at these 350 target accounts.
ChatGPT's potential strength is different: reach people when the conversation indicates that the underlying problem is becoming relevant.
This makes ChatGPT Ads potentially more useful as an intent layer within ABM, rather than as a standalone replacement for account targeting.
ChatGPT Ads and the B2B buyer journey
Consider a simplified enterprise buying journey.
Problem discovery
Why are our project deadlines becoming increasingly unreliable?
Problem definition
How can we improve project-resource planning?
Solution research
What software helps companies manage resources across multiple projects?
Evaluation
Which PPM platforms support skill-based resource planning?
Comparison
What are alternatives to [competitor]?
Selection
Which three vendors should we shortlist?
Potentially, ChatGPT can participate across every one of these stages.
That creates opportunities for different advertising messages at different levels of commercial maturity.
ChatGPT Ads are not only BOFU advertising
Because ChatGPT conversations range from early education to vendor comparison, the platform potentially spans the entire funnel.
TOFU
Problem education.
Example: Why do projects constantly compete for the same specialists?
Possible content offer: Guide: 7 causes of resource conflicts in project organizations
MOFU
Solution exploration.
Example: How can software improve resource capacity planning?
Possible offer: Resource Planning Checklist
BOFU
Vendor evaluation.
Example: Which PPM systems should we shortlist?
Possible offer: Book a personalized demo
This is why a single “Request demo” ad for every conversational context is unlikely to be optimal.
What should ChatGPT Ads be used for first in B2B?
For many companies, the best initial use case may not be direct demo generation.
Lead magnets can create a lower-friction first conversion.
Examples include:
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buyer guides
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comparison guides
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checklists
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assessments
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migration guides
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maturity models
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benchmarks
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templates
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technical guides
The key is relevance.
A lead magnet should solve the problem implied by the conversational intent.
The relationship between ChatGPT Ads, SEO and GEO
The rise of ChatGPT Ads does not reduce the importance of organic search.
It increases the number of discovery surfaces marketers need to understand.
A modern acquisition strategy may increasingly involve:
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Google SEO - Earn visibility in search results.
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Google Ads - Buy visibility for explicit search demand.
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GEO - Increase organic visibility inside AI answers.
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ChatGPT Ads - Buy visibility around AI-driven research and decisions.
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LinkedIn Ads - Reach known professional audiences.
These channels solve different problems.
The relationship between ChatGPT Ads, SEO and GEO
The rise of ChatGPT Ads does not reduce the importance of organic search.
It increases the number of discovery surfaces marketers need to understand.
A modern acquisition strategy may increasingly involve:
-
Google SEO - Earn visibility in search results.
-
Google Ads - Buy visibility for explicit search demand.
-
GEO - Increase organic visibility inside AI answers.
-
ChatGPT Ads - Buy visibility around AI-driven research and decisions.
-
LinkedIn Ads - Reach known professional audiences.
These channels solve different problems.
ChatGPT Ads and zero-click research
A major shift in digital behavior is that users increasingly obtain substantial information without visiting multiple websites.
A person might use ChatGPT to:
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understand a market
-
create a shortlist
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compare categories
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identify important buying criteria
before clicking anywhere.
For marketers, that changes the point at which paid visibility can matter.
Advertising can potentially appear during the research process itself, not only after a user has formulated a traditional search query.
ChatGPT Ads may create new demand-capture opportunities
Google Ads performs exceptionally well when demand already exists in recognizable keyword form.
But not every problem begins with a product-category search.
Someone may not know that they need: project portfolio management software
They may simply know: We have too many projects and not enough visibility into resource capacity.
Conversational environments can capture this earlier, less structured intent.
That is one of the most interesting opportunities for B2B advertisers.
What are the limitations of ChatGPT Ads in 2026?
Despite the opportunity, advertisers should understand the platform's current limitations.
The platform is still in beta
Features can change quickly.
Benchmarks are immature
There is currently no robust industry-wide benchmark for CTR, CPC, CPL or conversion rates.
User reach differs from Google and LinkedIn
Not every ChatGPT user sees ads.
B2B audience sizes can be restrictive
Custom Audience inclusion requires substantial matched audiences.
Attribution is still evolving
Conversion measurement has improved quickly, but OpenAI is still expanding attribution and optimization.
Geographic and personalization capabilities vary
Certain features differ by region.
All of this argues for experimentation rather than assumptions.
ChatGPT Ads Agency for B2B SaaS, IT & Tech
Launching a campaign is relatively easy.
Designing a useful B2B test is harder.
At GROWSaaS, we help B2B SaaS, IT and technology companies develop structured ChatGPT Ads campaigns around actual buyer intent.
Our approach combines:
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B2B Go-to-Market
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ICP, buying committee, positioning and messaging.
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Intent Mapping
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Identifying the problems, comparisons and evaluation situations in which your solution should become relevant.
-
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Campaign Strategy
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Campaigns and ad groups structured around meaningful intent clusters.
-
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Ad Creation
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Headlines, descriptions, CTAs and differentiated creative variations.
-
-
Tracking
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UTMs, GA4, GTM, conversion measurement and OpenAI measurement infrastructure depending on scope.
-
-
Conversion Optimization
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Aligning landing pages and offers to the user's underlying intent.
-
-
Optimization
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Evaluating performance across intent, creative, spend and conversions.
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Our dedicated ChatGPT Ads Agency for B2B SaaS, IT & Tech service offers structured campaign packages starting at €990.
The future of ChatGPT advertising
ChatGPT Ads are still at the beginning of their development.
But the direction is already visible.
Over a short period, OpenAI has introduced or expanded:
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self-service Ads Manager
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CPC buying
-
conversion optimization
-
Pixel measurement
-
Conversions API
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Custom Audiences
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product feeds
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carousel ads
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granular reporting
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view-through measurement
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campaign-budget pacing
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an Ads Manager plugin for ChatGPT
The platform is moving rapidly toward the feature set advertisers expect from established performance-marketing ecosystems.
The bigger change, however, may not be another bidding model or reporting column.
It is the advertising signal itself.
Search advertising grew around:
-
What did someone type into a search box?
-
Social advertising grew around:
-
Who is this person?
Conversational advertising can increasingly ask: What is this person trying to accomplish?
That could become one of the most important new layers of digital customer acquisition.
Frequently Asked Questions about ChatGPT Ads
I would make this section substantial because it is valuable for both classic SEO and answer-engine retrieval.
What are ChatGPT Ads?
ChatGPT Ads are paid sponsored placements that can appear inside ChatGPT. Ads are displayed separately from ChatGPT's generated answers and can include an advertiser name, headline, description, image and landing-page link.
Are ChatGPT Ads available in Germany?
Yes. Self-service ChatGPT Ads access is currently available in Germany through OpenAI Ads Manager. Austria and Switzerland are also supported.
When did ChatGPT Ads launch in Europe?
OpenAI announced expansion into 31 European markets on August 18, 2026, with self-service access becoming available across those markets on August 31, 2026.
How do ChatGPT Ads work?
OpenAI evaluates contextual and campaign signals to determine which ads may be relevant to a conversation. Signals can include conversational context, advertiser context hints, ad copy, landing-page content, campaign targeting and, where available and enabled, selected personalization signals.
Where do ChatGPT Ads appear?
Ads can appear below ChatGPT responses and are clearly separated from the generated answer.
Can advertisers influence ChatGPT answers?
No. OpenAI states that advertisements do not influence ChatGPT's answers and advertisers cannot pay to change or rank within generated responses.
Does OpenAI share ChatGPT conversations with advertisers?
No. OpenAI states that advertisers do not receive users' conversations, chat history, memories or personal details.
Which users see ChatGPT Ads?
Ads may appear to eligible users on ChatGPT Free and Go plans. Plus, Pro, Business, Enterprise and Edu plans remain ad-free.
Are ChatGPT Ads personalized?
Personalization depends on user settings and region. OpenAI currently states that personalized ads are not initially available in the EEA or Switzerland. Context from the current conversation can still contribute to ad relevance.
What targeting does ChatGPT Ads offer?
Current capabilities can include geography, platform targeting, context hints and Custom Audiences. Supported functionality can vary by market and continues to evolve.
What are context hints?
Context hints are descriptions advertisers provide at ad-group level to help OpenAI understand when a product might be useful. They can describe a use case, problem, audience or situation. Context hints are not exact-match keywords and do not guarantee delivery for a specific phrase.
Can ChatGPT Ads target keywords?
Not in the same way as Google Search Ads. Context hints can include topics or relevant terminology, but OpenAI treats them as contextual guidance rather than exact-match keyword targeting.
What campaign objectives are available?
OpenAI currently supports CPM, CPC and conversion-optimized CPC campaign objectives for reach, traffic and downstream conversions respectively.
What is the minimum budget for ChatGPT Ads?
OpenAI currently lists a €15 minimum daily campaign budget for EUR-denominated accounts. This is a platform minimum rather than a recommended testing budget.
How much do ChatGPT Ads cost?
There is no universal CPC or CPM benchmark yet. Costs depend on the campaign objective, auction dynamics, relevance, bids and available delivery. OpenAI says broad industry benchmarks are not yet established.
Can ChatGPT Ads track conversions?
Yes. OpenAI supports conversion measurement through the OpenAI Pixel and Conversions API.
Can the OpenAI Pixel be installed via Google Tag Manager?
Yes, according to OpenAI, provided the tag-management setup loads the Pixel correctly and does not interfere with initialization or event calls.
What metrics are available?
Ads Manager currently provides metrics including impressions, clicks, spend, CTR, average CPC, average CPM and conversions where conversion measurement is configured.
Does ChatGPT Ads support view-through conversions?
Eligible accounts can currently see one-day view-through conversion reporting separately from click-through conversions. OpenAI has also announced future conversion optimization incorporating view-through conversions.
Does ChatGPT Ads support first-party audiences?
Yes. Custom Audiences can use supported identifiers including email, phone, hashed identifiers and GAID.
What is the minimum Custom Audience size?
Inclusion targeting and audience bid adjustment currently require at least 25,000 matched users. Smaller audiences can be used for exclusion. OpenAI recommends at least 100,000 matched users for inclusion or bid adjustments.
Can ChatGPT Ads be used for ABM?
Potentially, but the current audience-size requirements mean ChatGPT Ads do not replace highly granular LinkedIn or dedicated ABM targeting. They may be more useful as an additional intent-based layer within a broader ABM strategy.
Are ChatGPT Ads good for B2B?
They can be particularly interesting for B2B products with complex research and evaluation journeys because users can communicate detailed problems, requirements and constraints inside a conversation. Actual performance should still be validated through structured testing.
Are ChatGPT Ads better than Google Ads?
Not necessarily. Google captures explicit search demand, while ChatGPT can capture richer conversational context. Most companies should evaluate the channels as complementary rather than direct substitutes.
Are ChatGPT Ads better than LinkedIn Ads?
They solve different targeting problems. LinkedIn excels at professional audience targeting, while ChatGPT can provide richer contextual signals about what a user is trying to accomplish.
What is the difference between ChatGPT Ads and GEO?
ChatGPT Ads are paid advertising placements. GEO aims to increase organic visibility inside generative AI answers. Paid ads do not influence organic ChatGPT answers.
What is OpenAI Ads Manager?
Ads Manager is OpenAI's self-service platform for creating, managing and measuring ChatGPT advertising campaigns.
Is there a ChatGPT Ads Manager plugin?
Yes. OpenAI currently offers a ChatGPT Ads Manager plugin that can access advertising accounts, campaigns, ads and performance data and support campaign-management workflows through ChatGPT.
Can an agency manage ChatGPT Ads?
Yes. Companies can work with an agency for campaign strategy, account setup, intent mapping, ad development, tracking and optimization. GROWSaaS offers dedicated ChatGPT Ads services for B2B SaaS, IT and technology companies.
Testen Sie ChatGPT Ads als NEUEN
Acquisition Channel
ChatGPT Ads eröffnen Unternehmen einen neuen Zugang zu potenziellen Kunden – nicht nur anhand dessen, wonach sie suchen, sondern anhand dessen, was sie gerade erreichen wollen.
Wir entwickeln daraus einen strukturierten Test mit klaren Intentionen, Messaging, Creatives, Tracking und messbaren Ergebnissen.
ChatGPT Ads Setup ab 990 €