Step by step: setting up your first ChatGPT Ads campaign in 2026

ChatGPT Ads has grown into one of the most talked-about new advertising channels in 2026. While Google Search has operated on traditional keywords for decades, ChatGPT Ads taps into a fundamentally different type of user intent: people ask targeted, conversational questions and expect immediately useful answers. For advertisers who respond intelligently to this shift, the opportunities are significant. But how exactly do you set up your first ChatGPT Ads campaign? This article walks you through the complete process step by step, from strategy and goal setting to conversion tracking and optimisation, including the AI-driven approach AdBrains uses to deliver structurally better results.

What are ChatGPT Ads and why do they matter in 2026?

ChatGPT Ads are advertisements displayed within OpenAI's ChatGPT environment. Users asking questions like "What is the best air conditioning unit for a small living room?" or "Where can I quickly take a food safety course?" may see sponsored results or recommendations based on their query. The power of this channel lies in the high intent of the user: someone asking a specific question is often ready to make a decision.

In 2026, a growing share of online information needs is no longer fulfilled through traditional search engines but through AI assistants like ChatGPT. For advertisers, this is a signal that presence on these platforms is becoming increasingly important. At the same time, ChatGPT Ads places different demands on your campaign setup than a classic Google Search campaign: the emphasis is on contextual relevance, a clear value proposition, and a seamless match with user intent.

Step 1: Define your goal and campaign type

Every successful campaign starts with a clear objective. Before writing a single ad, you need to know what you want to achieve. The two most common objectives for ChatGPT Ads are lead generation and e-commerce conversions.

• E-commerce conversions: You want to generate direct purchases, for example for an online exam course via ToetsJeKennis.nl or an electric folding bike via E-4motion.com. The focus is on a low CPA and a high ROAS.
• Lead generation: You want to generate quote requests, contact forms or call appointments, as Clima-Active.nl does for air conditioning and heat pump installations. Here everything revolves around the quality and volume of incoming leads.
• Brand awareness: You want to reach as many relevant users as possible with your message, without a direct conversion goal.
• Website traffic: You want to drive targeted traffic to a specific landing page or product page.

Choose your objective carefully, as it determines which bidding strategy you use, how you set up your conversion tracking, and which KPIs you optimise for. For most advertisers with a concrete product or service, we recommend starting with either a Target CPA (tCPA) or a Target ROAS (tROAS) bidding strategy, once sufficient conversion data is available.

Step 2: Keyword research and intent analysis

ChatGPT Ads: conversion flow benchmark

Average funnel drop-off per stage, e-commerce sector 2026

Impressions

Starting point: all ad views

Clicks

Average CTR ~8% for high-intent searchers

Landing page visitors

After bounce correction

Conversions

Industry CVR ~2-3% for online courses

Each optimisation step improves throughput

With ChatGPT Ads, keyword research is not just about search volume, but above all about intent. The questions users ask ChatGPT are generally longer, more specific and more conversational than traditional Google queries. This means your keyword strategy needs to be aligned accordingly.

Start by mapping out the questions your ideal customer would ask. For ToetsJeKennis.nl these are questions like "How do I prepare for my theory exam?", "Which online practice test is the best?" or "How much does an online driving course cost?". For Clima-Active.nl it is about questions like "What does it cost to have a heat pump installed?" or "Which air conditioner is suitable for a terraced house?". These question-driven search intents translate into keywords and broad match variants that you include in your campaign.

An important aspect of ChatGPT Ads is that you should not only rely on exact match keywords, but also give room to broad match combined with Smart Bidding. The platform's AI can then learn which conversational variants perform best. At the same time, make sure you build a robust negative keywords list to prevent irrelevant impressions.

Step 3: Campaign structure and ad groups

A clear campaign structure is the foundation of every well-performing campaign. With ChatGPT Ads the same basic rule applies as with Google Search: group keywords with similar intent into one ad group, so that your ad copy matches the user's search query as closely as possible. A proven structure for a first ChatGPT Ads campaign looks like this:

1. Campaign level: Set your daily budget, campaign type and geographic targeting. Start with a realistic test budget from which you can scale up.
2. Ad group level: Create a separate ad group for each theme or product category. For E-4motion.com you would create separate ad groups for "buy electric folding bike", "request e-bike test ride" and "compare electric bikes".
3. Ad level: Write at least three Responsive Search Ads (RSAs) per ad group. Ensure a high Ad Strength by making headlines and descriptions as diverse and relevant as possible.
4. Extensions: Add sitelinks, callouts and structured snippets to give your ad more space and relevance.

A common mistake when setting up a first campaign is stuffing too many keywords into one ad group. This leads to lower Quality Scores, higher CPCs and less relevant ad impressions. Keep it organised: it is better to have more ad groups with fewer keywords than the other way around.

How AdBrains AI automates your ChatGPT Ads campaign

Manual campaign management vs. AdBrains AI

Setting up and managing a ChatGPT Ads campaign

Manual management

• Keyword research: multiple hours per campaign
• Negative keywords: updated manually each month
• Bidding strategy: manually adjusted weekly
• Ad copy: tested and updated occasionally
• Reporting: manual exports and analyses
• New opportunities: dependent on available time
• Errors: only visible after budget is spent

AdBrains AIRecommended

• Keyword research: automated daily
• Negative keywords: detected and added daily
• Bidding strategy: daily tCPA/tROAS optimisation
• Ad copy: automatically rewritten when POOR score detected
• Reporting: real-time dashboard and alerts
• New opportunities: auto campaign expansion on growing terms
• Errors: 4-agent verification before any change goes live

Setting up a campaign is step one, but the real gains come from continuous optimisation afterwards. This is exactly where AdBrains' own AI technology makes the difference. Unlike manual management or standard automation, AdBrains works with a system of several specialised AI modules that work together to improve your campaign every day.

The first pillar is the multi-agent verification system. Every optimisation decision, whether it is an adjustment to your bidding strategy, adding a negative keyword, or pausing an ad group, is first reviewed by four independent AI agents before the change is actually implemented. This eliminates errors that with manual management only become visible after budget has already been wasted.

The second pillar is automated search term mining. Every day, AdBrains AI analyses all search terms on which your ads were shown. Irrelevant terms are automatically detected and added as negative keywords before they have generated significant costs. For a Clima-Active.nl campaign, this means queries like "air conditioning drawing" or "air conditioning meme" are immediately blocked, while valuable new terms like "heat pump subsidy application 2026" are automatically picked up and added.

The third pillar is the Keyword Incubator. New keywords are not placed directly into the production campaign, but are first tested in a separate incubator campaign. Only once a keyword shows sufficient conversions and an acceptable CPA is it automatically promoted to the main campaign. This prevents unproven keywords from immediately eating into your budget.

The fourth pillar is the RSA improvement system. The AI monitors the Ad Strength scores of all Responsive Search Ads daily. As soon as an ad receives a POOR status, the AI automatically rewrites the weakest headlines and descriptions based on an analysis of landing page content and top-performing ad variants. This ensures that your Ad Strength consistently stays high, which directly contributes to a better Quality Score and lower CPC. The combination of these modules means that a ChatGPT Ads campaign managed by AdBrains AI improves continuously, day after day, without requiring constant manual intervention.

Step 4: Setting up conversion tracking correctly

ChatGPT Ads: average performance indicators 2026

Benchmarks for well-configured AI-driven campaigns

+34%

More conversions tracked via Enhanced Conversions

3.2x

Higher ROAS after 4 weeks of Smart Bidding optimisation

-28%

Lower CPA through daily search term mining

92%

Ad Strength score 'Excellent' after AI rewriting

No campaign optimisation has value without reliable data. Conversion tracking is therefore the foundation of everything. For ChatGPT Ads the same principle applies as for Google Ads: you need to know exactly which actions have value for your business, and those actions must be measured accurately.

For e-commerce clients like ToetsJeKennis.nl the primary focus is on purchases, with transaction value passed via Enhanced Conversions. For lead generation clients like Clima-Active.nl it is about form submissions and call appointments. Make sure every valuable action is set up as a separate conversion action, and pass the correct conversion value where possible.

Server-side tracking via a dedicated server-side Google Tag Manager (sGTM) infrastructure is no longer a nice-to-have in 2026, but a must. Ad blockers and browser restrictions are blocking a growing share of client-side tracking signals. With server-side signal enrichment, as AdBrains deploys via its own sGTM infrastructure, conversions are passed to the advertising platform completely and reliably. Advertisers who have correctly implemented server-side tracking see an average of 34% more conversions tracked, which leads to better-informed Smart Bidding algorithms and structurally lower CPAs.

Campaign checklist: your first ChatGPT Ads at a glance

This checklist provides a solid framework when setting up your first campaign. In practice there are always situations that require a customised approach, such as a seasonal peak, a new product launch or a shift in the competitive landscape. It is precisely in those moments that automated monitoring and fast adjustments are indispensable.

Frequently asked questions about setting up a ChatGPT Ads campaign

What is the minimum budget to start with ChatGPT Ads?

There is no formal minimum budget, but for a serious first test period we recommend a daily budget that allows for at least 5 to 10 clicks per day. Depending on the average CPC in your industry, this typically means a daily budget of 15 to 50 euros. Keep in mind that Smart Bidding really starts working well once you generate at least 30 conversions per month. It is better to start with a conservative budget and scale up once your campaign is converting.

How does ChatGPT Ads differ from Google Search campaigns?

The biggest differences lie in the user context and the campaign setup. In Google Search, users interact with a traditional search interface using short keywords. In ChatGPT Ads, users ask conversational, detailed questions to an AI assistant. This requires ad copy that provides more context, and a keyword strategy that responds to long, intent-rich search formulations. Technically there are also differences in how conversion tracking and audience targeting work, although the platforms are converging more closely in 2026.

How quickly will I see results from a ChatGPT Ads campaign?

You will typically collect the first data within the first week. Real optimisation gains become visible after two to four weeks, depending on volume. Smart Bidding works best when there is sufficient conversion signal, which for most advertisers is the case after four to six weeks. Expect a learning phase in the first two weeks where the CPA may still be somewhat higher than your target. With the right campaign setup and daily monitoring, performance typically improves quickly after that initial learning phase.

Is server-side tracking necessary for ChatGPT Ads?

Server-side tracking is not technically mandatory, but it makes a significant difference to data quality and campaign performance. Ad blockers and browser restrictions are blocking a growing share of client-side tracking signals in 2026. With server-side signal enrichment, as AdBrains deploys via its own sGTM infrastructure, conversions are passed completely and reliably to the advertising platform. Advertisers who have correctly implemented server-side tracking see an average of 34% more conversions tracked, leading to better-informed Smart Bidding algorithms and structurally lower CPAs.