Deliver ads into the “conversation context” on ChatGPT:
next-generation AI advertising support
Drawing on our expertise in LLM engineering and AI search optimization,
we provide end-to-end support: design, ad copywriting,
landing page optimization, and measurement setup.

The rise of generative AI has fundamentally changed how users search. Users once ran keyword searches on Google and made decisions by browsing multiple articles and comparison sites. Today, a growing number of users consult ChatGPT directly, in natural language.
“Which service do you recommend?”
“Which tool is the best fit for our company?”
“Which companies can solve this problem?”
“Company A or Company B, which is better?”
ChatGPT Ads is a new advertising channel that lets you display ads within these AI conversation contexts. At Queue Ltd., we go far beyond simply submitting ads. We work backwards from the contexts, questions, and intents your ads should appear against on ChatGPT, providing end-to-end support across ad strategy, Context Hints design, ad copywriting, landing page optimization, and measurement setup.
What is ChatGPT Ads

ChatGPT Ads are ad placements shown within ChatGPT based on the user's conversation content and search intent. In traditional Google Ads, ads are triggered by the search keywords a user types. In ChatGPT Ads, by contrast, what matters is aligning your ads with the context, challenges, and consideration stage the user is discussing with the AI.
For example, you need to anticipate conversation contexts like these:
With ChatGPT Ads, effective ad design requires understanding not just the user's “search keywords” but what they are actually asking the AI for help with.
Why Now

ChatGPT is becoming more than a Q&A tool; it is increasingly where users make decisions. Especially in B2B services, SaaS, consulting, HR, education, real estate, finance, and e-commerce, more and more users ask the AI for recommendations, comparisons, selection advice, and whether to adopt a solution. Going forward, ranking high on Google won't be enough; what matters is how you enter the comparison and consideration contexts happening inside ChatGPT.
Users arriving via AI search have already articulated their problem and compared options with the AI before taking action. Data shows their conversion rates are more than 4.4 times higher than traditional web search. ChatGPT Ads is precisely the channel that creates ad touchpoints with these high-converting AI search users. Since similarly high conversion rates can be expected from the ad channel as well, there is real value in moving early.
ChatGPT Ads is still an early-stage channel. Its ad platform, measurement features, delivery logic, and ad formats will likely keep evolving. That is precisely why moving early lets you discover ahead of competitors which contexts trigger your ads, which messages drive clicks, and which landing pages convert. With competition intensifying in Google Ads and Meta Ads, ChatGPT Ads is worth validating early as a new acquisition channel.
Considering ChatGPT Ads campaigns or strategy design?
Book a Free ConsultationQueue's Approach
Analyze how ChatGPT interprets user question intent and identify the conversation contexts where your ads should appear
Map user challenges, consideration stage, ICP, and comparison contexts in natural language, designed per ad group
Write ad copy, optimize landing pages, integrate the Conversion API, set up pixels, and launch delivery
Validate CTR, CPC, conversions, and sales-pipeline rates, and continuously optimize Context Hints, ad copy, and landing pages
Queue Ltd. approaches ChatGPT Ads not as just another new ad placement, but as a new marketing channel for delivering your brand into AI conversation contexts. With our expertise in LLM engineering and AI search optimization, we can support your ad operations from perspectives such as:
Rather than simply submitting ads, Queue's strength is delivering ad strategy engineered backwards from how LLMs actually work.
Our Services
End-to-end support for ChatGPT Ads: campaign preparation, Context Hints design, ad copywriting, landing page optimization, measurement setup, and post-launch analysis and improvement.
The ChatGPT Ads platform requires configuring business information, your website, favicon, industry, advertiser details, billing information, and more. Queue organizes the initial setup required for launch and supports you from ad account creation through delivery readiness. Since ChatGPT Ads is currently available only in certain regions and to certain advertisers, and its specifications are likely to change, we track the latest status while clarifying your eligibility and what you need to prepare.
The most important element of ChatGPT Ads is deciding which conversation contexts should trigger your ads. Based on your service, target customers, competitors, and existing SEO and advertising data, Queue maps the likely questions, comparison contexts, and consideration stages happening on ChatGPT. We then design appropriate Context Hints for each ad group. Grounded in how LLMs interpret user intent, we design targeting based on the full conversation context, not just keywords.
With limited display space in ChatGPT Ads, ad copy is critically important. It must be short, clear, and speak directly to the user's problem. We design copy with concrete, numbers-driven messaging, clear benefits, natural CTAs, phrasing that matches the user's question context, and consistency with the landing page behind the click. Rather than merely creating attention-grabbing ads, we craft ad messaging that feels naturally relevant to the conversation the user is having on ChatGPT.
Users arriving from ChatGPT Ads may have already done meaningful research and comparison within the AI. Your landing page therefore needs more than a service overview: it must present the comparison information, decision criteria, and reassurance content users are looking for. By keeping your ad copy, Context Hints, and landing page content consistent, we reduce post-click drop-off and drive inquiries, content downloads, and sales conversations.
Conversion optimization and API integration are expected to become increasingly important in ChatGPT Ads. Queue supports pixel setup, conversion tracking, server-side measurement, and Conversion API integration. Using GA4, Google Tag Manager, the ad platform, your CRM, spreadsheets, and Looker Studio, we help you build a framework that makes your ChatGPT Ads performance fully visible.
Because ChatGPT Ads is a new channel, validating results after the initial launch is essential. Rather than one-off ad placements, we improve continuously based on data, growing ChatGPT Ads into a reliable acquisition channel.
Why Queue
On ChatGPT, users express their problems in sentences and conversations, not single keywords. That means you must understand context, intent, and question structure, not just keywords. With expertise in LLM engineering and AI search optimization, Queue can logically determine how to decompose natural-language queries and which contexts should trigger your ads. This is a major advantage that traditional advertising agencies simply don't have.
In ChatGPT Ads, Context Hints design has an outsized impact on results. Rather than simply listing related keywords, you need to articulate user challenges, consideration stage, industry, ICP, comparison targets, and purchase intent in natural language, communicating the right ad-display contexts to ChatGPT. Queue applies the prompt analysis and LLM context analysis expertise developed through our AI search optimization service umoren.ai to design high-precision contexts for your ads.
After seeing an ad, users often look up the brand again on ChatGPT, search on Google, or read comparison articles. That's why it's crucial to align not just your ads, but your brand presence in AI search, SEO, landing pages, content, FAQs, and case studies as a whole. Because Queue supports LLMO/AIO, SEO, advertising, and landing page optimization together, we can design your entire acquisition funnel for the AI search era.
Measurement and optimization using pixels, the Conversion API, and ads management APIs are expected to become increasingly important in ChatGPT Ads. Queue handles not only ad operations but also data integration and measurement infrastructure design. We build a framework that improves ad performance by tracking not just clicks, CTR, CPC, and conversions, but sales-pipeline and win rates as well.
ChatGPT Ads is still an early-stage advertising channel. What matters is forming hypotheses and iterating on Context Hints, ad copy, landing pages, and measurement until you find your winning patterns. Combining LLM understanding with ad optimization, Queue helps you grow ChatGPT Ads into a mid-to-long-term acquisition channel.
Comparison
| Criteria | Google Ads | Social Media Ads | ChatGPT Ads |
|---|---|---|---|
| Targeting method | Search keywords | Demographics & interests | Conversation context (Context Hints) |
| User intent | Inferred from keywords | Latent & passive | Explicit, in natural language |
| Touchpoint timing | While searching | While browsing content | While consulting AI & comparing options |
| Design starting point | Keyword design | Audience design | Conversation context & problem design |
| User consideration stage | Active to comparing | Awareness to interest | Comparing to deciding |
| Ad format | Above/below search results | Feeds & stories | Sponsored placement within conversations |
| Competitive landscape | Mature, high competition | Mature, medium-high competition | Early stage, low competition |
Google Ads primarily displays ads triggered by search keywords. ChatGPT Ads, by contrast, requires designing beyond “which keywords to buy”: which conversations should trigger your ads, which user problems you should show up for, and which consideration stages you should create touchpoints with.
Social media ads typically appear while users are browsing content, making them strong for reaching latent audiences. ChatGPT Ads, on the other hand, can appear at the very moment users have articulated their problem and are asking the AI for solutions. Beyond building awareness, they serve as touchpoints with users close to comparison and decision-making.
LLMO is the practice of making your company more likely to be cited and recommended within AI answers from ChatGPT, Gemini, and similar tools. ChatGPT Ads creates user touchpoints through a separate ad placement, distinct from AI answers. The two don't compete; they amplify each other. By increasing organic presence in AI answers through LLMO while also creating ad touchpoints through ChatGPT Ads, you strengthen both brand recall and your inquiry pipeline in the AI search era.
Recommended For
Companies that want to be early movers in ChatGPT Ads
Companies that want more inquiries from AI search
Companies hitting the limits of Google Ads and Meta Ads efficiency
Companies with comparison-driven offerings such as B2B services, SaaS, or consulting
Companies whose competitors dominate visibility and recommendations on ChatGPT
Companies that want to run LLMO and advertising initiatives in parallel
Companies unsure how to design Context Hints and AI advertising
Companies that want landing pages and measurement covered, not just ad operations
Steps
We learn about your services, target customers, existing advertising initiatives, and your challenges in AI search.
We map the questions, consultations, and comparisons your users are likely to have on ChatGPT.
We design the contexts your ads should appear in, along with targeting, messaging, ad group structure, and ad copy.
We optimize the landing pages your ads point to and set up conversion tracking, tags, API integrations, and reporting.
After launch, we monitor CTR, CPC, conversions, and sales-pipeline rates while refining ad copy, Context Hints, and landing pages.
FAQ
Frequently Asked Questions
ChatGPT Ads is still an early-stage advertising channel, and its available regions, eligible advertisers, and ad platform specifications may change over time. Queue keeps track of the latest availability while helping you prepare campaigns and run initial validation.
Context Hints are settings in ChatGPT Ads that let you specify, in natural language, which queries, conversation contexts, and users should trigger your ads. Unlike traditional keyword advertising, it's essential to design them around user challenges, consideration stage, ICP, and comparison contexts.
There are some similarities, but the underlying approach is different. Google Ads centers on keyword design, whereas ChatGPT Ads requires designing around conversation context, question intent, and where the user is in their buying journey. That means you can't simply reuse your Google Ads keywords; you need to redesign your targeting around the consultation contexts that happen inside ChatGPT.
Primarily your Context Hints, ad copy, creative, landing pages, and measurement setup. Especially in the early stages, it's critical to run an iterative improvement cycle: validating which contexts your ads appear in and which messages drive clicks and conversions.
Queue is not just another ad management agency: we bring deep expertise in LLM engineering and AI search optimization. Based on how ChatGPT interprets user question intent, we can logically design the contexts your ads should appear in, your Context Hints, your ad copy, and your landing page structure. Queue's strength is treating ChatGPT Ads not as a mere ad placement, but as a decision-making pathway inside AI.
A walkthrough of campaign creation and Context Hints configuration

ChatGPT Ads is not just another new advertising menu. In an era where AI is becoming the center of search, comparison, and decision-making, it is a new channel for designing how your company enters the user's consideration context. If you want to be an early mover in ChatGPT Ads, or validate a new acquisition channel for the AI search era, we'd love to talk.
Provided by Queue Ltd. (Chuo-ku, Tokyo)