ChatGPT Ads consulting, campaigns & optimisation

What matters most

People use ChatGPT to understand problems, compare solutions and prepare decisions. The marketing opportunity is a relevant ad with a clear next step. Together, we assess which offers fit that context, which audiences can be reached and whether a test is justified alongside your existing channels.

Position ChatGPT Ads as an additional channel for your offers

ChatGPT Ads are labelled advertising placements within ChatGPT. OpenAI separates ads from the chat model’s answers. For your campaign, we develop a useful offer for a relevant decision context and connect it clearly to a destination page. Advertising does not purchase an organic recommendation or preferential treatment in a model response. We begin with your product, markets, buying situations and the role of this channel in your existing marketing. A guide, demo and free product entry serve different purposes. We choose a specific test case and define what should count as a relevant visit, qualified lead or useful signup.

Plan the campaign and configure Ads Manager

Before launch, we review account access, intended markets, billing and the capabilities currently available in Ads Manager. We then develop a clear structure of campaigns, ad groups and ads. Objectives, budgets, timing and ownership are documented so your team can understand the decisions and spending. The advertising account remains yours. I support setup and management within the agreed scope. Current platform requirements, approvals and destination accessibility are part of preparation. Before allocating budget, we agree which data is available and what feedback sales or product colleagues can provide to help evaluate the campaign.

Build ad copy, visuals and context around specific use cases

I develop copy and visual concepts from specific problems, benefits and situations. One variation can explain a use case; another can offer a useful guide. Each ad needs a distinct angle, an accurate message and a next step that follows naturally from the offer. Setup takes account of available relevance and context inputs, including Context Hints where offered in the account. These describe situations in which the offer may be useful; they do not guarantee placement against a particular prompt. We review variants and landing pages against current OpenAI guidance and the actual characteristics of your offer.

Connect landing pages, lead magnets and conversion paths

The destination page follows through on the ad’s promise. We work on the value proposition, structure, supporting evidence, forms and a clear call to action. Depending on the objective, the destination may be a product page, demo request, lead magnet or direct signup. I help with copy, visuals and briefs or agreed implementation. Technical accessibility is also part of launch preparation. The destination needs to be accessible to visitors and relevant OpenAI crawlers, and tracking parameters should survive redirects. With your team, we assess mobile clarity and whether a request or registration leads to the next step that was promised.

Coordinate conversion measurement through Pixel, Conversions API and CRM

We first define the action that matters to your business, such as a registration, demo request or subsequently qualified contact. Where appropriate, we support implementation of the OpenAI Pixel, Conversions API or both. With your technical colleagues, we review data sources, events and possible website or CRM integration. If the same conversion is sent through both methods, it needs consistent deduplication. Click references, UTM parameters, attribution windows and documented measurement limits help interpret the figures. Your responsible team determines permitted data sharing and required consent. Campaign management does not replace individual legal advice.

Develop campaigns around contact quality and business outcomes

Reporting connects spend, delivery, clicks and conversions with the quality of the contacts generated. A low-cost lead is useful when it fits your offer. We include feedback from sales or product usage and document what an accepted enquiry or qualified signup means. Optimisation addresses specific levers: offer, creative, landing page, campaign structure and budget allocation. We agree when to expand, adapt or end a test. As ChatGPT Ads and its capabilities develop, we evaluate your own data. Generic promises about cost per lead, ROAS or pipeline are not a substitute for that assessment.

What you get

• Channel and offer assessment with a prioritised test plan
• Campaign structure and setup in your own advertising account
• Ad copy, visual variations and relevant context inputs
• Landing page and lead magnet concepts with clear conversion paths
• Measurement plan and support for Pixel, Conversions API and CRM coordination
• Reporting, contact-quality reviews and ongoing optimisation within scope

How we evaluate success

We assess spend, clicks, conversion rate and cost per meaningful action alongside contact quality. For longer sales cycles, accepted leads, opportunities and CRM feedback add context. Attribution windows and differences between Ads Manager, web analytics and CRM are made explicit. A bounded test provides evidence for your next budget decision.

How we start

We begin with your product, your current situation and the most pressing challenge. You then receive a proposal with priorities, scope and clear responsibilities. Whether a focused project or ongoing support makes more sense depends on your goals and resources.