ChatGPT has become a daily utility for millions, and OpenAI may be preparing to monetize their experience. If ads are going to appear in conversational AI experiences, brands face a critical window to understand the new rules of engagement, prepare their data and creative, and position themselves for a channel that could rival Google Search. Here’s what’s coming, what to expect, and how to prepare. 

The Inevitable Shift: Why We Think AI Ads Are Coming to ChatGPT 

As consumer adoption of ChatGPT accelerates, the integration of paid advertising into the OpenAI experience looks increasingly likely. While the exact format remains to be seen, moving into advertising is a logical step in the attention economy to establish a scalable revenue stream, strengthen brand partnerships, and capture value from the product’s growing discovery and shopping use cases. 

The shift runs deeper than monetization, though. AI is becoming a more routine part of how people evaluate products and make decisions, creating a new point in the customer journey where information is interpreted, narrowed, and reinforced before a consumer takes action. This introduces new AI-mediated moments of influence, where ChatGPT acts as an interpretive layer between awareness and purchase. This includes validatingclaims and comparing options, that can shape consumer confidence. 

For advertisers, this represents a new opportunity: reaching consumers at the exact moment they’re synthesizing information and considering a purchase. 

Learning from Early Movers: What Perplexity’s Pause Teaches Us 

Perplexity (a free AI-powered answer engine) made a similar move earlier this year but has since paused a broader rollout of its ad business. Their focus was to seamlessly integrate ads into the user experience with select brands to maintain trust and align with user intent. Measurement gaps, user‑trust considerations, and unfamiliar ad formats appear to be the primary reasons for the pause. 

These are critical signals OpenAI is likely watching closely as it plans any advertising rollout. Perplexity’s experience underscores three hard truths about conversational ads: trust is fragile, measurement is complex, and formats matter enormously. The brands and platforms that get this right will thrive; those that don’t risk alienating users and damaging advertiser confidence. 

The Playbook: How Google’s AI Ads Point to ChatGPT’s Future 

Google continues to expand paid listings into their AI responses. Ads are currently placed within or alongside an AI Overview response and clearly labeled as “Sponsored”, showing as text ads, shopping carousels, or blended within the AI-generated answers. Ads related to sensitive categories, such as healthcare and finance, are not eligible to be shown within AI responses. 

This model is instructive for OpenAI. ChatGPT may look to Google for playbook cues, including format options (sponsored answers), buying models (auction-based, CPC bidding), and policies for deployment (sensitive categories) as they finalize their own ad approach. 

Google’s Advantage vs. ChatGPT’s Challenge 

Google’s established search expertise and 20+ years of search data, quality-scoring systems, and advertising feedback puts them in a unique position to mature and scale their AI ad model from the start. They have a tested auction infrastructure, decades of advertiser relationships, and proven measurement frameworks. 

By contrast, ChatGPT is starting from scratch with no legacy ad data or auction history. Although they’ve rapidly scaled their conversational presence, it will take time to perfect their ad model and establish it as a dominant alternative. The upside: they can learn from Perplexity’s missteps and Google’s playbook, designing ads thoughtfully from day one rather than retrofitting them later. They also could create something altogether different because they are not tied to legacy assumptions and infrastructure. 

What This Means: Impact on Consumers and Advertisers 

As OpenAI moves closer to introducing ads in ChatGPT, here’s what that shift may mean for both sides of the marketplace. 

For Consumers 

  • Faster Decisions: Added convenience during shoppable moments with clearer paths from research to purchase. Instead of toggling between tabs, users can see product comparisons, pricing, and availability inline, accelerating the path to action. 
  • Trust Trade-Offs: Some may question the authenticity of sponsored answers, especially if they appear too often or are not clearly labeled. User confidence hinges on transparency and perceived neutrality. Missteps here could trigger backlash and platform switching. 
  • More Relevant Recommendations: AI may connect the dots across a consumer’s discovery trail, from the creators they follow to the content they engage with, to surface brands or products that match the intent behind their queries in the moment. This personalization, guided by expressed need rather than tracked behavior, could feel more aligned with user intent than traditional targeting. 

For Advertisers 

  • Higher-Intent Access: Reach users at the exact moment of need based on their inquiries. Unlike programmatic and social platforms where intent is inferred from behavior, or search where intent is keyword-explicit but often transactional, ChatGPT offers intent expressed in context with richer nuance about what a user is trying to accomplish. 
  • Budget Reallocations: Expect shifts from traditional search into OpenAI options. If ChatGPT ads prove effective, performance marketing budgets will split between Google Search and conversational AI, each optimized for different moments in the consideration journey. 
  • New Measurement Model: Tracking in-chat events (save, book, configure, start trial) becomes the foundation for establishing media value and effectiveness. Prepare to measure conversation-level engagement, utility scores, and multi-touch attribution across chat and off-site. 
  • Brand Safety Precautions: Expect strict category exclusions with minimal third-party verification at launch. Unlike mature search, programmatic, and social ad platforms, ChatGPT likely won’t have platforms like IAS or DoubleVerify integration from day one. This will require rigorous allow/block lists, verified data feeds, and contextual exclusions for sensitive topics. 
  • Targeting Approach Shifts to Conversational Signals: Ads will leverage real-time intent cues and contextual entities from the chat, favoring brands with clean feeds and precise value propositions over traditional keyword or behavioral targeting. Keyword lists need to become conversational intent maps and data feeds need to become AI-readable knowledge graphs. 
  • AI-Native Branded Content: As AI systems blend sponsored messages with organic responses, brands will benefit from developing content designed for AI interpretation through language that can be dynamically included in conversational results. This ensures brand narratives remain consistent whether a user encounters them through social, search, or AI-generated answers. 
  • Instant Intent Capture: With ads and in-AI purchases embedded directly into conversational answers, GEO becomes a competition for presence in the single moment where discovery and conversion collapse. Being surfaced carries outsized value, not just in performance but in perception, as consumers may increasingly equate AI-recommended brands with greater relevance and credibility. 

Looking Ahead 

We don’t yet have confirmed timelines, formats, or rollout details for ChatGPT advertising, and OpenAI has not published an official roadmap. We’re actively monitoring OpenAI’s developments and will share updates as material changes emerge.