OpenAI’s announcement that it is testing advertisements in ChatGTP should have every brand and its’ marketing team worried. I wanted to know more about how ChatGTP planned to offer advertising, and how it proposed to deliver these advertisements to consumers, so I simply asked it!

1. How ChatGPT Entering Advertising Changes the Game for Brands

🎯 From Passive Info Tool to Intent-Rich Advertising Platform

ChatGPT isn’t just replacing search – it’s re-imagining how consumers express needs and make decisions. In traditional search or social ads, brands interrupt users or guess intent from keywords and behaviour. In ChatGPT, users state intent as part of a conversation – sometimes directly expressing specific needs or problems. This creates a new kind of advertising signal:

  • Ads appear when a user is already asking something commercial or purchase-related.
  • They’re placed below the AI’s answer, clearly labelled, and separated from the response content.
  • Initial testing is being done on the Free and Go tiers; paid tiers remain ad-free for now.

For brands, this is a historic shift – not just another ad channel, but a decision-moment context where users are:

  • explicitly asking questions
  • already engaged in problem-solving
  • more receptive to relevant suggestions than in passive feed environments.

📈 Opportunity: Conversation-Driven Intent Targeting

This conversational context provides data that traditional digital ads never had:

  • user intent in their own words
  • contextual relevance to the specific question asked
  • purchase intent that’s already surfaced

This can lead to higher relevance and efficiency for brands that tailor sponsored placements to these in-context signals.

2. How ChatGPT Will Decide Which Ads to Show

🧠 Intent-Based & Contextual Targeting

Unlike search ads that trigger on keywords or social ads that trigger on user segments, ChatGPT’s ad matching will be based on the context of the conversation:

  • Ads trigger only when a product or service is relevant to the user’s current query.
  • They’re clearly separated from the AI-generated answer so users can distinguish what the AI says versus what they’re being shown as a paid suggestion.
  • OpenAI says ads won’t be shown for sensitive topics like health or politics and won’t appear to users under 18.

In other words, rather than broad demographic targeting, the system is likely to focus on query intent and relevance, making ads more tightly aligned with the meaning of the user’s conversation, not just their profile.

3. Challenges Brands Face – Trust & Accuracy Expectations

🤖 User Expectation: Neutral, Unbiased AI

One of ChatGPT’s core value propositions has been accuracy and objectivity. Users trust it for:

  • factual answers
  • learning
  • problem-solving
  • advice

Introducing ads – even clearly labelled ones – creates a tension:

  • Users may fear that commercial influence could bias recommendations.
  • They expect unbiased information but are now being shown sponsored suggestions.
  • Some privacy advocates and industry experts have raised concerns that personalized ads in AI assistants could undermine trust.

For brands, this means:

  • Advertisements must feel helpful and relevant, not intrusive or manipulative.
  • Creative needs to align with the user’s context – i.e., continue the conversation, not interrupt it.
  • Misaligned ads could lead to backlash not only against the ad but against the brand itself.

To overcome this, brands can:

✅ Build contextual relevance into ads (matching not just keywords but intent)
✅ Ensure ad content genuinely adds value to the conversation
✅ Avoid generic pitches and focus on educational or decision-support content
✅ Be transparent about why the ad appears and how it helps the user

4. Monetisation: How ChatGPT Plans to Make Money from Ads

💰 Diversifying Revenue Beyond Subscriptions

ChatGPT has long relied primarily on:

  • paid subscriptions (Plus, Pro, Enterprise)
  • API usage fees

However, only a small percentage of its massive user base pays for premium plans, with most users on the free tier. Introducing advertising offers:

  • a new revenue stream to support free access
  • a way to help offset enormous infrastructure costs
  • the potential to generate ad revenue on the scale of other major digital platforms.

Analysts project that if OpenAI successfully scales ads, it could generate tens of billions annually – potentially rivalling established ad ecosystems. Business Insider reported on 20th January 2026 that OpenAI could generate US$25 billion (AUD38 billion) in annual revenue from advertisements by 2030.

🧩 Hybrid Monetisation Model

Ads aren’t replacing subscriptions – they’re supplementing them, particularly for free users:

  • Paid users get an ad-free experience
  • Free/low-cost tiers show ads only where relevant
  • Users have controls over personalization
  • OpenAI claims it won’t sell private conversation data to advertisers.

This hybrid model mirrors streaming services:

  • free/ad-supported tiers
  • premium ad-free tiers

It allows wide reach while preserving trust for paying users.

5. Could AI Assistants from Marketplaces Create Conflicting Results?

🤯 Multiple AI Assistants = Multiple “Truths”?

Yes – and this is one of the biggest strategic questions for the future of retail and advertising.

Imagine:

  • ChatGPT recommending Brand A because it appears in the conversation context
  • An AI assistant from Amazon proposing Brand B based on marketplace sales data
  • An AI assistant from Onnero recommending a different product or brand based on health, value, quality and sustainability – answering the question “what’s best for me?”
  • A retailer’s own AI suggesting Brand D because it favours in-platform or in-store inventory

This leads to a world where:

  • users may receive contradictory recommendations
  • trust could fracture if assistants are not clearly transparent about why they show what they show
  • brands struggle to maintain consistent narratives across platforms

This isn’t science fiction. Major players like Meta are also pushing conversational advertising in their AI assistants, sparking privacy debates and questions about user trust globally.

6. Why This Matters (And How Brands Can Prepare)

📌 Key Strategic Takeaways

📍 Trust Still Matters Most
AI assistants must preserve unbiased, accurate answers. Ads must not feel like they’re influencing truth – and OpenAI is investing in guardrails such as:

  • separation of ads from responses
  • exclusion from sensitive topics
  • opt-out controls for personalization.

📍 Contextual Advertising Is a New Channel
This isn’t search or display advertising – it’s natural language intent advertising. Brands need to:

  • design ads that extend a helpful answer
  • align messaging with conversational flow
  • focus on utility over persuasion (e.g., “Here’s the best tool for X” vs “Buy this now”).

📍 Brand Credibility Is on the Line
Ads inside AI assistants must be trustworthy, clearly labelled, and genuinely relevant – otherwise users could abandon the platform entirely.

📍 Multiple Competing Assistants Can Confuse Users
Differing recommendations from different AI assistants or marketplaces may:

  • create consumer confusion
  • require brands to unify messages across AI systems
  • demand consistent, clear product value propositions

➡️ Final Thought

ChatGPT testing advertisements marks a fundamental shift in how brands might engage with consumers inside intent-rich, conversational environments. Rather than mimicking old ad models, the winners will think in terms of helpful suggestions, contextual relevance, and alignment with the user’s real problem – not just impressions or clicks.

This is not a reinstatement of old digital marketing models.
It’s the beginning of conversation-driven commerce advertising.

AI assistants and ads must answer the question “what’s best for me?” Brands, platforms and retailers that fail this simple test of trust will be immediately caught out.

And for brands ready to embrace that – it’s a once-in-a-decade opportunity.