ChatGPT Ads Context Hints: What They Are + How to Create Ones That Work

Context hints in the OpenAI Ads Manager are plain-language descriptions that tell ChatGPT’s ad system which conversations, topics, or intent scenarios your ads should appear beneath. Learn how audience targeting is changing through this conversational interface.

AI chatbot ChatGPT began testing ads in February 2026. In many ways, advertisers found the setup simple and comparable to Google Ads — from the campaign hierarchy to the (albeit limited) ad copy and creative format.

The biggest difference, however, has been the shift from keywords to context hints.

Instead of targeting users based on search queries, advertisers essentially describe user scenarios that best match their product or service’s solution.

As AI-powered discovery grows and digital marketing evolves, advertisers who understand context hints now may gain a new way to reach high-intent audiences before the channel becomes crowded — and stay ahead when the competition arrives.

To make the most of this opportunity, HawkSEM co-founder and CEO Sam Yadegar shares his first impressions, insights, and future predictions.

What are ChatGPT Ads context hints?

ChatGPT Ads context hints are advertiser-provided signals that help determine who should see an ad and when based on the context of a user’s conversation.

“This is the criteria ChatGPT Ads uses to determine who should see your ads and when,” explains Yadegar.

Advertisers provide these context hints at the ad group-level, describing the conversations, topics, or keywords where their products or services may be relevant.

These hints help inform ad matching, but they aren’t exact-match keywords and don’t guarantee placement in specific conversations.

How context hints work

Advertisers provide brief, plain-text descriptions of specific conversation topics, target audiences, and user scenarios where their ads should appear.

Then, the ChatGPT Ads system uses semantic matching to understand the intent behind a user’s prompt and conversation and match it with relevant ads.

Here’s how this looks in action:

1. User initiates a conversation

For example: “I want to do some landscaping in my front yard, what are good designs that include native plants?”

2. The system interprets conversational intent and themes
Based on the content of the conversation, relevant context signals could include ideas like:

• Landscaping and yard design
• Native plants and gardening
• Home improvement projects

3. Ads may be matched to the conversation context
If relevant, ads aligned with those themes could be served.

Keywords vs. context hints

Keywords are the exact words a user enters into a search query, which search engines use to trigger an ad. Context hints are broad descriptions of the user scenario, intent, and conversation topics that AI models use to trigger ads instead.

In traditional PPC, average cost per click (CPC) and click-through rate (CTR) are often optimized through keyword selection and bid strategy. In ChatGPT Ads, performance depends more heavily on how accurately context hints reflect real user intent.

Here’s a brief overview of the difference between keywords and context hints:

Keywords

• Explicit search terms
• Built around keyword research
• Target searches
• Transaction-focused

Context hints

• Conversation themes
• Built around customer understanding
• Target intent and context
• Discovery and consideration-focused

While many advertisers have wondered if they could convert existing Google Ads keywords to context hints, Yadegar explains that the two are entirely separate and “context hints should just be natural hints that ChatGPT uses to serve your ads.”

Examples of context hints

Wondering what context hints actually look like? Here are some examples from our own campaigns at HawkSEM:

Scale Google Ads Growth

Context hints:

• user needs help scaling Google Ads
• user wants to increase Google Ads investment
• user is looking for a growth partner for paid search
• user wants to scale lead generation through Google Ads
• user wants to scale ecommerce revenue through Google Ads
• user is evaluating how to grow paid search performance
• user wants more advanced Google Ads strategies
• user is managing larger ad budgets and needs expertise
• user wants to improve efficiency while scaling spend

Google Ads Agency Pricing

Context hints:

• user is researching Google Ads agency pricing
• user is asking how much google ads management costs
• user is researching agency retainer models
• user is comparing agency pricing structures
• user is evaluating google ads management fees
• user is building a budget for paid search services
• user is trying to understand cost of hiring an agency
• user is comparing cost vs ROI of agencies

How to add context hints to ChatGPT Ads

Context hints are added at the ad group level as part of campaign setup inside the ChatGPT ad manager.

Instead of selecting keywords or demographic filters, advertisers provide short descriptive text that helps define the types of conversations where their ads are most relevant.

Here’s a brief ChatGPT Ads tutorial for adding context hints.

1. Define your ideal customer context

Start by thinking beyond keywords and demographics. Focus on:

• The problems your customers are trying to solve
• The situations they’re in when they need your product
• The questions they ask before making a purchase

2. Write descriptive context blocks

Provide short natural-language descriptions. These might include:

• Topics your product relates to
• Use cases or scenarios
• Customer intents or goals

3. Group related themes at the ad group level

Each ad group should represent a coherent theme or intent cluster. Within each group, context hints should stay focused and closely related rather than broad or generic.

4. Submit your context hints

Once submitted, ChatGPT Ads uses semantic understanding of conversations to match your context hints with relevant user intent.

This means:

• You are not bidding on exact keywords
• You are not selecting audiences directly
• You are signaling relevance through intent-based descriptions

How to build context hints for your brand

When creating your own context hints for ChatGPT Ads, Yadegar recommends starting with your ideal customer profile (ICP). “Think like your customers,” says Yadegar. “What do they worry about? What are their desires?”

Rather than starting with keywords or product features, the goal is to understand the situations that lead someone to your product or service. “The deeper knowledge you have of your ICP the better your performance,” says Yadegar.

Identify the core problems your target customer is trying to solve and outline the early stages of the buyer’s journey. For example, instead of thinking in terms of “running shoes,” think in terms of “training for a marathon without injury.”

Next, turn these ICP insights into conversational themes:

For example: “What’s the best way to prevent running injuries during training?”

Finally, cluster related context hints into groups that reflect a single intent or topic area.

Pro tip: The most effective context hints will come directly from your customers’ own words, so be sure to review sales calls, reviews, search queries, and any recorded meetings or conversations to reflect natural language. 

Early results: How does ChatGPT Ads compare to Google Ads?

At HawkSEM, our experts have been testing ChatGPT Ads context hints and are beginning to see early performance trends.

What we’re seeing so far:

• Lower average CPC (cost per click)
• Smaller reach
• Highly targeted audiences

“We’ve noticed lower CPCs (less than a third), but fewer impressions because our context hints are super targeted toward our ideal ICP,” says Yadegar.

However, it’s still early. That means:

• Limited data
• Small sample sizes
• A still-evolving platform

As conversational advertising evolves, marketers may also need to rethink how they evaluate performance.

While CPC remains an important benchmark, broader efficiency metrics like average cost per mille (CPM) may become more relevant over time as advertisers assess reach and exposure across conversational ad placements.

Additionally, attribution and measurement are still developing.

“ChatGPT ads offer very simplistic conversion tracking at this stage,” says Yadegar.

So while early results are promising, marketers should still treat ChatGPT Ads as an emerging channel — with a hint of caution.

Looking ahead: Will context hints become the new keywords?

Yes, context hints could likely become the new keywords in coming years.

Advertising has already been shifting toward more conversational and intent-driven environments. And with the rise of AI-powered search and discovery, marketers will need to move beyond traditional keyword lists and consider how people express their problems and goals through conversational dialogue.

In fact, “context hints can already be compared to today’s keywords and their importance,” says Yadegar.

“I can also see more and more advertisers relying on conversational advertising as the platform continues to mature and provide better targeting and controls.”

Early adopters thinking in these terms now will likely be better positioned as conversational advertising expands — and ChatGPT ad targeting capabilities continue to develop.

The takeaway

ChatGPT Ads context hints represent a shift from keyword-based advertising toward intent.

As AI assistants become a larger part of how people research and make decisions, marketers who understand conversational intent and build content around real customer questions will be better positioned to succeed.

At HawkSEM, we have been at the forefront of the AI era — from generative engine optimization (GEO) to answer engine optimization (AEO) to ChatGPT Ads.

For a better ROAS across all your performance marketing channels, reach out today.