What Can We Learn from Early Ad Formats on Bing and Copilot?

Early ad formats on Bing and Microsoft Copilot reveal how AI-driven search experiences are fundamentally reshaping the advertising landscape. Copilot ads are sponsored units that appear within the responses generated by Microsoft's AI assistant, triggered by conversational context rather than individual keywords.

Key Takeaways

• Copilot ads operate on conversational intent, not isolated keywords, requiring a fundamentally different optimisation approach.
• Early formats show that ad relevance and contextual quality outweigh bidding alone, mirroring the Quality Score logic in Google Ads.
• For e-commerce and lead generation advertisers, the lower competition on Bing and Copilot in 2026 represents a genuine early-mover opportunity.
• AI-optimised campaign settings, including dynamic ad content and broad intent targeting, are essential to closing the conversion funnel in this environment.
• The lessons from Copilot advertising are directly applicable to broader strategies for AI-driven platforms, including Google AI Overviews.

What Are Ad Formats on Bing and Copilot?

Bing ads have existed for years as Microsoft's counterpart to Google Search advertising, but with the integration of Copilot into the Bing search experience, a fundamentally new advertising layer has emerged. Copilot ads do not appear alongside classic search results; instead, they appear directly within the AI-generated responses of Microsoft's conversational assistant. This makes them not a supplement to existing formats but an entirely new type of advertising experience.

According to Microsoft Advertising (2026), Bing now has over one hundred million daily users actively engaging with Copilot functionality. While Bing's overall search market share remains smaller than Google's, the quality of intent matters significantly here. Someone asking a question to an AI assistant is typically deeper in their orientation or decision-making process than someone quickly typing a keyword.

The early ad formats Microsoft has rolled out can broadly be categorised into three types:

• Sponsored AI Answers: Short sponsored blocks shown when the AI response is relevant to a commercial product or service.
• Product ads in chat: Similar to Shopping ads but displayed within the chat interface based on product relevance to the question asked.
• Dynamic text ads in the Copilot sidebar: Comparable to classic Responsive Search Ads (RSAs), but with AI-generated content tailored to the conversational context.

What immediately stands out compared to classic search engine ads is the role of context. Where Google Ads operates on keyword matching through broad match, phrase match and exact match signals, Copilot primarily runs on full conversational intent. A user asking "which electric bike is best for commuting in the city?" could trigger an ad for E-4motion.com, not because a specific keyword was matched, but because the conversational intent clearly aligns with the product offering.

What Early Data Tells Us About Ad Performance

Early results from Copilot ads show a mixed but promising picture. Early adopters reported lower costs per click than on Google Search, combined with a higher average consideration level among visitors who clicked through. This is consistent with what Microsoft Advertising has documented in its 2026 product updates and advertiser resources.

The conversion intent of Copilot users is, on average, deeper in the funnel than that of a standard search user. Someone directing a question at an AI assistant expects a nuanced, contextual answer. Any ad that appears within that answer must fit seamlessly, or users will simply ignore it.

A practical example illustrates this: imagine Clima-Active.nl, a provider of air conditioning and heat pump installation, running Copilot ads targeting people asking questions like "what is the cheapest heating system for a semi-detached house?". If 42% of monthly Copilot sessions see the ad, 9% click through and 2% submit a quote request, that yields around 200 leads per month from 10,000 sessions. The relevance of the question-to-ad match is what drives throughput.

For e-commerce clients like ToetsJeKennis.nl, which offers online exams and courses, this logic works equally well. Someone asking Copilot "how do I prepare for my theory driving test?" is an ideal audience for a sponsored answer pointing directly to the theory exam page. The average order value of around 50 euros is offset by the high relevance of the click.

Which Lessons Are Directly Applicable for Advertisers?

The early experiences with Bing and Copilot ad formats produce a number of direct lessons that hold value beyond this specific platform.

Lesson 1: Ad relevance outweighs bidding. Just as with Smart Bidding in Google Ads, contextual quality and relevance carry more weight than the bid level alone on Copilot. Higher contextual relevance leads to more impressions and lower costs per click. This reinforces the importance of well-configured RSAs and supplementary assets.

Lesson 2: Broad intent targeting demands tight negative keywords. Because Copilot operates on conversational intent rather than exact search terms, the risk of irrelevant impressions is greater than with phrase match or exact match in Google Ads. Automated search term mining and the timely addition of negative keywords are indispensable here.

Lesson 3: The funnel starts earlier. Copilot users more often ask exploratory questions than transactional ones. Advertisers need landing pages that cater to an audience not yet ready to convert immediately but already highly interested. Informative content and a clear call to action for a logical next step are essential.

Lesson 4: First-party data and conversion tracking are critical. Without properly configured conversion tracking and server-side tracking, it is impossible to measure whether Copilot ads are genuinely contributing to business goals. Enhanced Conversions and a well-configured server-side GTM setup are the foundation of any serious campaign on this platform.

How AdBrains AI Masters This Specific Playing Field

AdBrains has developed its own AI technology specifically tuned to the challenges of intent-driven advertising platforms like Bing/Copilot, as well as Google Ads when comparable dynamics are at play. It is precisely in environments that operate on broad intent rather than exact keywords that the advantages of our automated approach are most pronounced.

Our automated search term mining analyses all incoming search terms and conversational signals reported by the platform on a daily basis. Because Copilot ads activate much broader match profiles than exact match keywords, the volume of irrelevant impressions is significantly higher. Our system automatically detects search terms that do not contribute to conversions and adds them as negative keywords, without a campaign manager needing to review these manually.

The AdBrains Keyword Incubator also plays a valuable role in Bing and Copilot campaigns. New keywords or intent patterns are first safely tested in a separate incubator campaign before being promoted to the production campaign. This protects budget from unproven intent signals while still allowing growing patterns to be scaled quickly.

Our multi-agent verification system checks every optimisation decision through four independent AI agents before execution. This is particularly important on a new platform like Copilot, where changes to the advertising ecosystem are frequent and not always predictable. By verifying every change before it goes live, we prevent costly errors in an environment where the ground rules are still actively evolving.

Our RSA improvement system analyses the Ad Strength of all active ad copies and automatically rewrites any assets with a POOR status. For platforms that heavily reward ad relevance and quality score, like Copilot, this directly drives lower CPCs and higher impression frequency. For clients like E-4motion.com, this ensures that ad texts about electric folding bikes are always aligned with the current demand patterns of the target audience.

Finally, our server-side signal enrichment provides a strong measurement foundation. Without reliable conversion data, Smart Bidding cannot perform well, and this holds even more strongly for emerging platforms that are still developing their bidding algorithms. By enriching first-party data through our sGTM infrastructure and correctly configuring Enhanced Conversions, we give the platform maximum signal strength to show the right ads to the right users at the right moment.

In our practice, we see that advertisers who apply this automated layer to their Bing and Copilot campaigns reach profitable performance faster than those who optimise manually. The speed of optimisation cycles, combined with the systematic approach to negative keywords and ad strength, makes the difference in an environment that is still rapidly changing.

What Does This Mean for the Future of Search Advertising?

The early ad formats on Bing and Copilot foreshadow what is also set to happen within Google Ads as AI Overviews and the broader integration of Gemini into search continue to advance. The patterns we observe now are consistent: AI-driven search environments reward relevance over volume, push the conversion funnel forward and require a different type of ad asset than traditional keyword-based approaches.

Advertisers who now build the discipline to perform well on Copilot gain a twofold return. First, they benefit from the lower competition on Bing and Copilot itself. Second, they build the advertising structures, assets and measurement methods that will soon be necessary on Google Ads as AI Overviews become increasingly dominant.

Frequently Asked Questions About Bing and Copilot Ads

What is the difference between a Bing ad and a Copilot ad?

A Bing ad is a classic search ad that appears alongside the Bing search results, driven by keywords such as broad match or exact match. A Copilot ad appears within the AI-generated responses of Microsoft's Copilot assistant and is triggered by conversational context, not an individual search term. Both formats can be deployed simultaneously via Microsoft Advertising but require different optimisation strategies. Copilot ads demand greater attention to ad relevance and intent matching than classic Bing search ads.

Is it worthwhile to advertise on Copilot now if my budget is limited?

Yes, especially with a limited budget, Copilot advertising can be attractive due to lower competition and therefore lower CPCs than on Google Search. Example calculation: with a budget of 500 euros per month and an average CPC of 0.60 euros, you receive over 800 clicks, while the same budget on a competitive Google Search campaign delivers considerably fewer clicks. The prerequisite is that your conversion tracking is properly set up and that your ads are well aligned with the conversational intent of your target audience.

How does Smart Bidding work on Microsoft Advertising and Copilot?

Microsoft Advertising offers Smart Bidding options comparable to Google Ads, including Target CPA (tCPA) and Target ROAS (tROAS), but the algorithmic maturity is still developing in 2026 compared to Google. This means more manual guidance or hybrid bidding strategies are needed, combined with robust conversion data. The more high-quality conversion signals you feed the platform via conversion tracking and server-side tracking, the better the bidding algorithm learns. Invest in a strong measurement foundation before committing fully to automated bidding.

Which ad formats work best on Copilot for lead generation?

For lead generation, sponsored AI answers currently perform best on Copilot, as they most closely align with the exploratory phase that Copilot users are typically in. A lead generation advertiser like Clima-Active.nl benefits most when sponsored answers specifically address the question being asked, such as "which heat pump suits a detached house?", and link to a landing page with clear information and a low-threshold contact form. Avoid hard sales language in the ad itself: the user is in a conversational mode and expects an informative response, not a promotional message.