Advertisers are familiar with search advertising built around queries, keywords, ad messages, landing pages and measurable actions. Advertising within a conversational AI environment introduces a different context. Instead of entering a short search phrase, a person may describe a problem, compare options, ask for recommendations or refine a question through several exchanges.
This does not mean ChatGPT Ads should replace search advertising. It means advertisers may need to consider how conversational intent affects campaign planning, creative, audience context, landing pages and measurement.
Google Ads and ChatGPT Ads also operate within different user experiences. The appropriate approach can depend on the advertising product, campaign objective, audience and way potential customers research a particular product or service.
Search Intent and Conversational Intent
Traditional search advertising often begins with a relatively short query.
For example, someone might search for:
"accounting software for small business"; "business insurance quote"; "best project management software"; "running shoes for beginners".
Advertisers can use search queries and related data to understand the type of information or product a person may be looking for and develop advertising and landing pages around that intent.
A conversational interaction can contain more context.
A person might instead ask:
"I run a small consulting business with five employees. We need accounting software that can handle invoicing and expenses, but we do not need complex enterprise features. What should I look for?"
The commercial intent may overlap with a conventional search, but the information provided is different.
Why the distinction matters
Conversational questions can contain several types of information at the same time, including:
The problem the person is trying to solve; Their circumstances or requirements; Their stage of research; Constraints such as budget or business size; Features they consider important; Questions they still need answered.
For advertisers, this can make context an important consideration when planning ChatGPT advertising.
Google Ads and ChatGPT Ads Start From Different User Experiences
Google Ads generally operates alongside a search results experience. A user enters a query and may encounter sponsored results alongside organic results and other search features.
ChatGPT is primarily an interactive conversation. A user may begin with one question and then ask follow-up questions based on the preceding exchange.
This can affect how an advertiser thinks about the customer journey.
A simplified search advertising model might be:
Search query → Ad → Landing page → Conversion
A conversational advertising journey may require consideration of:
Conversation context → Commercial relevance → Ad → Landing page or next action
These are planning models rather than descriptions of every advertising experience. Actual formats and delivery can vary.
Context Is Not the Same as Keyword Targeting
Keywords remain useful for understanding search behaviour. However, advertisers should be cautious about treating conversational advertising as simply another form of keyword targeting.
A conventional keyword might be:
"CRM software for startups"
A longer conversation could provide information about:
The size of the company; The type of sales process; Existing software; Integration requirements; Preferred pricing considerations; Whether the person is researching or comparing products.
This does not mean every detail should be treated as a targeting signal. Instead, it can help advertisers think about intent and context alongside conventional keyword research.
From keywords to customer needs
A useful planning exercise is to group potential customers by the needs expressed in their questions rather than relying only on individual keywords.
For example, a software company might consider separate intent themes for:
1. People identifying a problem 2. People researching possible solutions 3. People comparing approaches 4. People evaluating specific product capabilities 5. People preparing to make a purchase
The appropriate structure will depend on the product, audience and advertising environment.
How Campaign Strategy May Need to Adapt
A Google Ads campaign can be organised around keyword groups, audiences, creative variations and landing pages.
For ChatGPT Ads, campaign planning may also require attention to the context in which an advertisement could be relevant.
1. Start with customer questions
Rather than beginning only with product features, identify the questions potential customers may ask while researching a problem.
For example:
"What type of accounting software does a small consultancy need?"; "How can I manage recurring invoices?"; "What should I compare when choosing accounting software?"; "Which accounting features matter for a growing business?".
These questions can represent different information needs even when they relate to the same product category.
2. Separate research from purchase intent
Not every conversation about a product category indicates an immediate purchasing decision.
Someone researching how CRM systems work may be at an earlier stage than someone comparing CRM providers.
Recognising this distinction can help advertisers avoid treating every relevant interaction as equivalent.
3. Connect the message with the immediate need
Relevance should be considered in relation to the context in which an advertisement may appear.
An advertisement intended for someone comparing product features may require a different message from one intended for someone who is still learning about the category.
The aim is not to force a product into every potentially related conversation. It is to consider whether the advertisement is appropriate for the particular commercial context.
Creative Considerations for ChatGPT Ads
Advertising copy developed for search results does not necessarily need to be identical to copy used in a conversational environment.
Search ads operate within a results page where users may compare several options.
A conversational environment has a different surrounding context. Advertisers may therefore want to consider:
Whether the message relates clearly to the customer's stated need; Whether the value proposition is easy to understand; Whether the wording fits the surrounding context; Whether the call to action matches the user's stage of research; Whether the landing page continues the same message.
This does not require abandoning established advertising principles. It means considering how those principles apply within a different advertising environment.
Landing Pages Are Part of the Customer Journey
The advertisement is only one part of the journey.
A person who encounters an advertisement during a detailed conversation may arrive at a landing page with a particular question already in mind.
A relevant landing page can make it clear:
What the product or service does; Who it is intended for; Which problem it addresses; What information the visitor can find there; What the next step involves.
The appropriate landing-page approach will depend on the campaign and business.
Avoid a disconnect between the ad and landing page
Consider a hypothetical example.
A person has been researching software for managing recurring invoices. An advertisement promotes a particular software product, but the landing page focuses primarily on unrelated enterprise functionality.
The visitor may then need to spend additional time looking for the information that originally interested them.
This illustrates why advertisers may want to review the relationship between conversational context, ad message and landing-page content.
How ChatGPT Ads Measurement May Differ
Google Ads provides established reporting for search advertising, with advertisers commonly considering measures such as impressions, clicks, cost per click and conversions alongside broader business outcomes.
ChatGPT Ads may involve a different user journey and reporting environment. Advertisers should therefore avoid assuming that every metric can be interpreted in exactly the same way across channels.
Depending on the advertising product and campaign setup, areas of interest may include:
Exposure
How often an advertisement is displayed within the relevant advertising environment.
Engagement
Whether users interact with the advertisement or proceed to the next step.
Website activity
What users do after arriving on the advertiser's website.
Conversions
Whether users complete the action defined as a campaign conversion.
Business outcomes
Depending on the business model, this could include qualified enquiries, purchases, registrations or another defined business action.
The available metrics and reporting capabilities can change. Advertisers should therefore establish measurement requirements using the current platform capabilities before drawing conclusions about campaign performance.
ChatGPT Ads and Google Ads Can Be Evaluated Separately
It can be tempting to frame the question simply as ChatGPT Ads versus Google Ads.
In practice, the two channels can provide access to different forms of customer research and intent.
Search advertising commonly starts with a search query. ChatGPT advertising operates within a conversational environment where users may provide additional context as they explore a subject.
For some advertisers, this difference may make it useful to evaluate the channels separately before deciding how they should fit within a broader paid media strategy.
Relevant questions include:
Where are potential customers researching the problem?; What type of intent does each channel address?; Which customer journeys are relevant to the business?; What information needs to be communicated?; How will results be measured consistently?; What level of testing is appropriate?.
There is no single channel mix that applies to every business.
A Practical Framework for Comparing the Two
Advertisers assessing Google Ads and ChatGPT Ads can use a simple framework.
Audience behaviour
Consider how prospective customers currently research the product or problem.
Intent
Map the differences between short-form search queries and longer conversational questions.
Message
Review whether the existing advertising message is appropriate for each environment.
Destination
Check whether landing pages address the information needs associated with the relevant intent.
Measurement
Define comparable business outcomes while recognising that reporting systems and user journeys can differ.
Testing
Where testing is appropriate, establish a defined period, budget and measurement framework before drawing conclusions from limited early data.
Questions to Ask Before Expanding Into a New Channel
Before treating ChatGPT Ads as a direct extension of an existing search campaign, advertisers may wish to ask:
1. What customer questions are most relevant to our product? 2. Which of those questions may indicate commercial intent? 3. How does that intent differ from our existing search campaigns? 4. What context could make our advertising relevant? 5. Does our current creative communicate the appropriate message for that context? 6. Does the landing page address the question that led the customer there? 7. Which outcomes will determine whether the test provides useful information? 8. How much data may be needed before making a reasonable assessment?
These questions can help advertisers distinguish between a structured channel test and simply transferring an existing campaign structure into a different advertising environment.
Continuing Research Into ChatGPT Advertising
ChatGPT advertising is an evolving area, so advertisers may need to revisit assumptions as advertising formats, measurement capabilities and platform practices develop.
For further analysis of advertising within the OpenAI ecosystem, see the Ads for OpenAI Insights.
Businesses considering whether this advertising environment is relevant to their circumstances can also send an enquiry to Ads for OpenAI.
Conclusion
Google Ads and ChatGPT Ads both provide advertising opportunities, but the surrounding user experiences are different.
Search advertising commonly begins with a relatively concise query. Conversational advertising can occur within a longer exchange containing information about a person's needs, circumstances and stage of research.
For advertisers, the practical consideration is not whether one approach should automatically replace the other. It is whether conversational intent requires a different way of planning ChatGPT advertising.
Campaign structure, creative, landing pages and measurement can all be reviewed in light of the environment in which an advertisement may appear.
As ChatGPT advertising develops, advertisers can approach it as a distinct channel to understand and test, rather than assuming that strategies designed for conventional search advertising will transfer without adjustment.
Disclaimer: This article provides general information about advertising strategy and does not constitute advertising, legal, financial or other professional advice. Advertising products, formats, targeting capabilities and measurement options may change over time. Advertisers should review current platform documentation, applicable terms and their own campaign requirements before making advertising decisions.
Last Reviewed: September 2026