Tag: Adthena

Unlock Competitive Insights with Adthena’s New ChatGPT Ads Tool

Adthena has unveiled an exciting new platform that offers advertisers a clearer view of the ChatGPT ad landscape. This development gives me unprecedented insight into my competitors and ad performance within the ChatGPT ecosystem.

As a digital marketer, I find Adthena’s ChatGPT Intelligence Platform fascinating because it’s the first tool of its kind offering whole-market visibility into ChatGPT Ads, similar to the comprehensive insights I already get from Google Ads.

Tracking over 300,000 daily prompts, Adthena allows me to see which brands are advertising, the locations of these ads, and the messaging strategies employed. It’s a powerful way to stay ahead in a competitive field.

The current native tools in ChatGPT provide a limited, self-centric view of my ad performance. Now, Adthena bridges that gap, enabling me to understand my competitors’ positions, share of voice, and specific prompt activity in an often unclear channel.

What I find particularly useful is how Adthena offers a comprehensive view of ad appearances across ChatGPT conversations, complete with competitive intelligence on advertising bids and creative types used.

The platform also provides real-time recommendations to optimize my campaigns—it’s about taking action based on insights rather than just watching things happen.

Furthermore, I can evaluate ad copy effectiveness, monitor my brand’s presence, and track share of voice—all from one dashboard that integrates both ChatGPT and Google Ads data, helping me make informed budget decisions as search behaviors evolve.

The introduction of this tool follows Adthena’s earlier AdBridge tool, which helps in the seamless transition of Google Ads campaigns into ChatGPT’s Ads Manager, indicating a burgeoning AI-driven search advertising ecosystem.

Ashley Fletcher, CMO, emphasizes that early adopters like me have the potential to influence the competitive terrain, with the platform clearly indicating the best strategies to employ.

Looking ahead, I anticipate more third-party tools emerging as advertisers like myself desire greater transparency in AI-driven ad environments. The pace at which brands recognize ChatGPT Ads as a vital performance channel will likely drive this adoption, possibly urging platforms like ChatGPT to enhance their native reporting capabilities.

The bottom line is that Adthena is positioning itself as the go-to visibility layer for ChatGPT Ads, offering me a clearer understanding of this rapidly growing but still enigmatic channel.

Inspired by this post on Search Engine Land.

May 11, 2026
Transform Google Ads into ChatGPT Success with Adthena’s Tool

When I learned about Adthena’s new Google Ads-to-ChatGPT conversion tool, I was immediately intrigued. This innovation allows advertisers to seamlessly repurpose their existing search campaigns for ChatGPT, simplifying budget shifts and campaign setup.

What’s happening? Adthena has introduced AdBridge, designed to translate Google Ads campaigns into formats suitable for ChatGPT advertising. The concept is straightforward: leverage what already works instead of starting from scratch.

The tool evaluates advertisers’ search campaigns to compile keyword lists, identify negative keywords, and gain competitive insights, ready for direct application in ChatGPT campaigns. It identifies which brands dominate certain auctions, their frequency, and the prompts triggering these placements, offering more than just a simple copy-and-paste solution.

Why it matters to me. Adbridge has significantly reduced the effort needed to reallocate my advertising budget from Google Ads to ChatGPT. By reusing existing keywords and insights, I can test and scale ChatGPT ads with minimal risk. As the platform expands, tools like this lower entry barriers, potentially speeding up ChatGPT’s adoption as a viable performance channel.

As Adthena’s CMO, Ashley Fletcher, mentioned, the goal is to prepare campaigns to run directly, mimicking the CSV-based workflows familiar across major platforms.

Early testing feedback. Adthena has already conducted numerous sessions with large enterprises experimenting with the tool, highlighting growing demand from advertisers eager to expand their presence in ChatGPT’s nascent ad environment.

Reading between the lines. This goes beyond just convenience—it’s building momentum. Advertisers testing ChatGPT ads face challenges like restricted inventory and scale. By easing campaign deployment, Adthena is positioning itself to facilitate quicker adoption as these challenges diminish.

A closer look. AdBridge is part of Adthena’s broader strategy, accompanied by Arlo, an AI assistant that lets advertisers query performance data and compare results across ChatGPT and search campaigns. Together, they indicate a future where AI-driven ad management mirrors existing search workflows.

The backdrop. OpenAI rapidly evolves its ad offerings—quietly launching an ads manager, lowering minimum spend limits, and introducing flexible pricing models. Collaborations with firms like Criteo and Smartly point to a burgeoning ecosystem.

The bottom line. As ChatGPT ads race to compete for search budgets, the ease of transition facilitated by tools like Adthena may determine the winners. Adthena aims to lead that charge.

Inspired by this post on Search Engine Land.

April 27, 2026
How Clarity Beats Creativity in ChatGPT Ad Performance
I recently delved into an intriguing analysis by Adthena, which examined over 40,000 daily ChatGPT ad placements. What stood out to me was how these ads are evolving into a streamlined, high-intent messaging format, specifically tailored for users who are already deep in the decision-making process.

The big picture: ChatGPT ads are gravitating towards a style that’s concise, well-structured, and highly contextual. This approach emphasizes precision over persuasion, signaling a shift from traditional creative advertising to real-time, intent-driven assistance.

By the numbers:
- The average headline is just 30 characters long, consisting of about 5 words.
- Body copy averages 116 characters and roughly 19 words.
This makes it clear that every word needs to be purposeful, enhancing clarity or directly driving conversion.

What’s working: The dominant pattern I observed involves a “Brand: Benefit” headline structure, which clearly delineates the brand name from the value proposition. This works well because users in conversational settings prioritize immediate clarity over intrigue.

In this environment, brand recall is essential, especially as ads often start with the brand name—ideal for users evaluating rather than discovering options.

Headlines have become succinct, resembling functional labels more than traditional slogans. This brevity continues in the body copy, usually composed of two concise sentences: one proving a point and another offering a subtle prompt.

Context mirroring has emerged as a distinguishing feature. The best ads expertly reflect a user’s query or environment, suggesting real-time message tailoring—a level of AI-native targeting that transcends basic keyword matching.

Concrete value signals are vital. The dollar symbol and specific numerical claims, such as prices or performance metrics, significantly outperform generic promises. Numbers naturally instill credibility, which is crucial in a context where users are actively researching and comparing.

Low-friction offers—like trials or demos described with the word “free”—are the most effective conversion drivers. They lower the commitment threshold for users still exploring options.

Calls to action are direct and action-focused, using phrases like “Shop now,” “Compare,” or “Book,” steering away from generic prompts like “Learn more.”

The overall tone is calm, confident, and measured, with minimal punctuation like exclamation points or question marks. This aligns more with the voice of helpful guidance than traditional advertising hype, allowing ads to blend naturally into conversational contexts.

Why we care: ChatGPT ads target users with high intent, where clarity and relevance trump creativity or storytelling. In a conversational space, ads compete against genuinely helpful answers, so precise and value-driven copy truly stands out.

This brings advantages to early adopters as the format becomes standardized, rewarding those who use shorter, structured messaging.

Between the lines: While ChatGPT ads share characteristics with paid search—focused on intent and relevance—they must seamlessly fit into dialogues, respond to users with high intent, and present messages that feel supportive rather than disruptive.

The takeaway is that success in ChatGPT advertising increasingly relies on precision, relevance, and credibility over emotion or brand storytelling. Achieving this means perfectly integrating at the moment when users need clear, trustworthy information.

Dig deeper: Check out the complete infographic shared by Adthena CMO Alex Fletcher on LinkedIn.

Inspired by this post on Search Engine Land.
April 2, 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