Tag: CPC

Unlocking New Potential: ChatGPT’s Self-Serve Ads Revolution
I’ve witnessed firsthand how ChatGPT ads are evolving with self-serve buying options, enhanced measurement features, and a vision to create a scalable advertising platform.

OpenAI is stepping up its game with the ChatGPT ads platform by introducing self-serve buying, CPC bidding, and improved measurement methods to invite more advertisers into its ecosystem.

What’s happening. The ChatGPT ads initiative is shifting from a limited pilot to a broader rollout, providing businesses new methods to purchase and manage their campaigns. Advertisers can now access inventory through agency and tech partners or directly via the new beta Ads Manager, which is currently rolling out in the U.S.

This marks a significant move from a controlled test phase to a promising, scalable ad platform.

Why we care. In the past, access to ChatGPT ads was restricted and costly, limiting it to major advertisers. These updates are lowering the entry barriers, allowing SMBs, startups, and diverse brands to experiment with this channel.

By introducing CPC bidding, ChatGPT aligns more closely with established performance platforms, enabling advertisers to optimize for actions rather than just impressions.

Self-serve Ads Manager. With the new Ads Manager, advertisers gain direct control over campaigns, including budgeting, bidding, creative uploads, and performance tracking.

Even though it’s still in beta, it demonstrates OpenAI’s commitment to building a full-service ad platform, beyond a mere partner-led ecosystem.

Between the lines. This approach is not new. Typically, platforms start with high-touch, partner-led campaigns before transitioning to self-serve tools that enhance scalability. ChatGPT is entering this second phase.

CPC bidding arrives. Originally, ChatGPT ads were sold on a CPM basis. The inclusion of CPC enables advertisers to align expenditures with user actions—a critical evolution for performance marketers.

The nature of ChatGPT queries—often exploratory, comparative, and decision-driven—means that clicks could become an effective indicator of user intent.

Measurement catches up. OpenAI is also introducing pixel-based tracking and a Conversions API, allowing advertisers to measure actions like purchases, sign-ups, and leads.

Notably, this data is aggregated, ensuring no access to individual conversations, emphasizing OpenAI’s commitment to privacy.

Why this is a big deal. Measurement was a major gap in early ChatGPT ads. Without it, justifying ad spend was challenging for advertisers. These updates help bridge that gap, making optimization more feasible.

The ecosystem grows. OpenAI is expanding its network by partnering with agencies like WPP and Publicis Groupe, along with tech platforms such as Criteo and Adobe.

This allows advertisers to buy ChatGPT ads through tools and workflows they are already familiar with.

What to watch:
- How quickly self-serve adoption scales
- Whether CPC performance holds as competition increases
- How measurement evolves to match advertiser expectations
Bottom line. ChatGPT ads are transitioning from an experiment to a platform—and with self-serve tools, CPC bidding, and enhanced measurement, OpenAI is laying the foundation for expansive growth.

Inspired by this post on Search Engine Land.
May 5, 2026
Discover How OpenAI is Revolutionizing Ads with ChatGPT CPC

Have you heard the news that OpenAI has introduced CPC ads to ChatGPT? This strategic shift has transformed it into a performance-driven channel, offering advertisers new avenues for engaging intent-driven audiences and tracking ROI.

OpenAI is moving away from a focus purely on impressions in ChatGPT to prioritize performance. This change places OpenAI in direct competition with giants like Google by adopting cost-per-click (CPC) ads, allowing advertisers to pay only when users click on their ads.

What’s happening? OpenAI has started testing CPC ads within ChatGPT, where advertisers only pay when their ads receive clicks. Initial reports highlight that these clicks are priced between $3 to $5. They’re rolling out this feature through a limited ads manager, alongside their existing CPM-based model.

Why now? The main catalyst seems to be pricing pressure. Since its launch, ChatGPT’s CPMs have significantly decreased from around $60 to approximately $25. Switching to CPC helps mitigate this decline by connecting revenue to tangible outcomes rather than mere impressions.

Why do we care? With its evolution into a performance channel, ChatGPT is now not just a branding space. The CPC pricing model makes it easier for us to connect budgets directly to measurable actions, test ROI, and compare these results with channels like Google Search.

I’m excited about the opportunity for advertisers to access what could be a high-intent audience in a new format. This presents a first-mover advantage before competition—and the associated costs—escalate.

The bigger picture: This isn’t just a pricing change; it’s a strategic pivot. By embracing CPC advertising, OpenAI challenges Google’s dominance in the market, thereby positioning ChatGPT as a contender for performance marketing budgets.

Reading between the lines: A major challenge lies in proving user intent. While search advertising is effective because it captures users actively searching for something, ChatGPT’s conversational context needs to generate clicks with equal value. Advertisers will likely compare these results directly with Google, setting a high standard for quality and conversion.

Zoom out: Advertising is becoming integral to OpenAI’s long-term revenue plan, supported by investments in ad infrastructure, measurement tools, and a wider self-serve platform.

Bottom line: By implementing CPC ads, OpenAI is vying for the performance-driven ad dollars that have long supported traditional search platforms.

Inspired by this post on Search Engine Land.

April 22, 2026
Unveiling Google’s AI Overviews: Impact on PPC Revenue
When I first heard about Google’s AI Overviews, I realized they weren’t just going to affect visibility; they had the potential to hit revenue hard. Adthena’s latest data analysis sheds light on just how significant this impact could be on CTR and CPC.

Adthena dove into a detailed study from late December 2025 through January 2026, involving a comprehensive look across six major industries. This involved tracking performance metrics from millions of ads.

While on the surface, aggregate data seemed stable, a closer inspection revealed a more complex reality. For advertisers like myself, these automated summaries don’t just pose visibility issues; they’re a direct threat to PPC revenue.

What AI Overviews Mean for Paid Search Revenue

AI-generated summaries are altering the very structure of successful campaigns. When a Google AI Overview pushes ads below the page fold, it sets off a sequence of events impacting my profitability:
- Lower CTR = fewer clicks: With diminished visibility, there’s a noticeable drop in visits to landing pages, diminishing the traffic flow.
- Fewer clicks = fewer conversions: A decrease in traffic inevitably means fewer leads or sales.
- Higher CPC = reduced profitability: In industries where AI summaries appear on competitive terms, maintaining relevance costs more, squeezing margins and lowering ROAS.
AI Overviews Impact Across Six Industries

Adthena’s study tracked AI Overview frequency, content themes, and CPC/CTR performance across devices. The results paint a complex picture, with impacts varying by industry, device, query type, and content intent.

Content Themes: The Battle for Mid-Funnel Intent

Adthena pinpoints a shift where Google moves deeper into comparison and instructional content spaces, directly targeting high-converting paid search areas.
- The comparison conflict: In Telecom, Technology, and Retail, AI Overviews frequently deliver comparison content, which could satisfy user curiosity prematurely, preventing a further click on my ads.
- The informational buffer: In Healthcare and Financial Services, themes like news and FAQs can act as intent barriers, potentially safeguarding ad spend by meeting low-intent signals before a user clicks on a paid ad.
- The opportunity gap: Problem-solving content remains mostly unaffected at 0-2%. This creates a safe harbor for advertisers, with minimal AI interference in these areas.
CPC Trends: The Premium for Visibility

By tracking CPC fluctuations, I can identify where the cost of visibility is increasing due to the presence of AI Overviews.
- Technology: AI Overview-related queries consistently yield higher CPCs, signaling increased costs for visibility.
- Automotive & Retail: Across these sectors, costs remain similar regardless of AI Overviews, signifying less immediate impact.
- Financial Services: Even modest CPC spikes can significantly impact profitability in industries with already high CPCs.
Device Splits Expose Desktop Saturation

Breaking down data by device reveals notable differences, showing more nuance than initially apparent.
- Desktop dominance: Queries in Technology and Education are heavily populated by AI Overviews, making ad competition unavoidable.
- Mobile opportunity: While AI Overviews appear less frequently on mobile, they more aggressively displace ads due to limited screen space, unlike desktop where multiple ads can sit below the overview.
CTR Trends Provide Evidence of Traffic Erosion

Examining CTR trends reveals ongoing discrepancies between influenced and standard search outcomes.
- Persistent gaps: In Telecom and Technology, lower CTRs with AI Overviews highlight the direct impact on traffic flow.
- Consumer resilience: Financial Services and Retail show narrower CTR gaps, indicating ad preference despite AI Overviews.
- Late month volatility: Spikes in Healthcare showcase rapid performance fluctuations as Google refines its AI deployment.
Distribution Data Reveals the Zero Click Reality

This data layer exposes a winner-take-all dynamic often obscured by average metrics.
- The baseline gap: In the absence of AI Overviews, CTR remains strong across sectors, particularly Retail. However, where AI Overviews are rampant, the gap reveals the complete story.
- High AI Overviews frequency, low CTR: Ubiquitous AI Overviews mean reduced CTR across sectors, including Technology. As frequency climbs, ad traffic capture decreases.
- Resilience in Automotive: Automotive maintains a relatively diverse spread in mid-frequency ranges, suggesting users bypass summaries for brand information.
Three Immediate Steps to Adapt Your Paid Search Strategy

To protect my margins, here’s what I can do:
1. Monitor Click Through Rates (CTR) and Cost Per Click (CPC) changes: Although they don’t provide the complete picture, shifts in CTR or CPC can warn of AI Overview effects.
2. Segment performance by device: By separating desktop and mobile data, I can discover hidden trends that might be blurred in combined reporting.
3. Use Adthena’s free Market Share reports: These reports allow me to understand AI Overview frequency in my category and recognize at-risk areas for visibility.
Gaining Visibility with Adthena’s AI Overview Solution

To grasp AI Overview effects, continuous and detailed query-level intelligence is crucial. Adthena’s AI Overview solution regularly indexes search results, providing advertisers with insights into:
- AI Overviews frequency patterns by query, industry, and device.
- Content themes and citation sources.
- Performance metrics including impact on CPC and CTR.
- Ad position vs AI Overviews.
These insights help advertisers like me detect and address disruptions to revenue before they impact performance.

Coming soon: Adthena’s enhancement to the AI Overviews solution will include visibility into ads within AI Overviews, offering a comprehensive assessment of ad performance throughout the SERP.

The SERP Has Changed: Adapt or Fall Behind

While Google’s AI Overviews are here to stay, their effect isn’t uniform nor unsurmountable. Successful advertisers, like those who are vigilant, understand precisely where and how AI Overviews appear, what content they promote, and how their audience reacts.

Precision is vital. Assumptions lead to downfall.

Book a demo to see exactly how AI Overviews are impacting your campaigns.

Inspired by this post on Search Engine Land.
February 26, 2026