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Category: Technology

OpenAI Enhances Ads Manager with Fresh Budget and Geo Features
The latest updates to ChatGPT Ads are empowering me as an advertiser with greater control over how I manage my campaigns, especially when it comes to pacing, location targeting, and engaging with ads more effectively.

OpenAI’s recent rollout of updates to the Ads Manager Beta is expanding my capabilities in the realm of campaign pacing, targeting, and reporting. They’re also quietly testing intriguing new ad experiences within ChatGPT.

With these ongoing enhancements, OpenAI is clearly investing in building a robust advertising platform. This makes ChatGPT an increasingly attractive channel for both performance and brand advertising.

What’s new in Ads Manager Beta:

Daily Budgets are Here. Now, I have the option to choose between a daily or a lifetime budget when setting up new campaigns.

Currently, daily budgets apply only to newly launched campaigns. This change provides me with the flexibility to better manage pacing and spending, especially for ongoing campaigns or those requiring tighter control.

Enhanced Geo Targeting. OpenAI is introducing more detailed location targeting options across the U.S.

Now, I’m able to target campaigns by state, designated market area (DMA), and zip code, allowing for more precise audience targeting.

These targeting settings can be applied either during campaign setup or modified later within campaign settings. This update aligns ChatGPT’s ad tools more closely with familiar location controls on platforms like Google and Meta.

Aggregate Totals in Reporting Views. Now, the Ads Manager table views display aggregate totals for essential metrics such as impressions, clicks, and spending.

Having these totals available across campaign, ad group, and ad-level reporting views helps me quickly assess performance without the need for data exports.

Testing New ChatGPT Ad Experiences. In tandem with the Ads Manager updates, OpenAI has begun testing new ad experiences within ChatGPT.

Some ads now feature dynamic calls-to-action (CTAs) such as:
- “Shop Now”
- “Book Now”
- “Sign Up”
- “Learn More”
OpenAI indicates that CTAs are automatically chosen based on ad creative and destination experience, with the possibility of advertiser controls for CTA selection in the future.

OpenAI describes this feature as a lightweight enhancement aimed at improving user understanding and engagement with ads seen in ChatGPT.

Why I Care. Essentially, these updates show that OpenAI is committed to developing a sophisticated, performance-driven ad platform within ChatGPT.

With features like daily budgets and detailed geo-targeting, I’m armed with greater spend and target audience control. These tools are indispensable for mature advertising platforms.

The introduction of dynamic CTAs indicates that OpenAI is optimizing ads for higher engagement and conversion, paving the way for performance-centric ad formats in the future. For brands like ours dipping our toes into AI-native advertising, these updates signal that we’re moving beyond initial testing phases to establish ChatGPT as a viable media channel.

Inspired by this post on Search Engine Land.
May 22, 2026
Unlock Coding Potential with the Profound API Cookbook

Hey there! I’m excited to introduce you to something that has truly changed the way I approach coding projects—the Profound API Cookbook. If you’ve ever started with the thought, ‘I want this number,’ and wished for a seamless way to transform that into runnable code, this is for you.

Imagine having a collection of end-to-end recipes right at your fingertips, perfectly layered on top of our REST API references. This isn’t just about coding; it’s about enhancing your workflow and efficiency in a whole new way. Each recipe is designed to guide you from concept to execution with ease.

Inspired by this post on Try Profound Blog.

May 20, 2026
Explore Google’s Enhanced Shopping Experience with Universal Cart

Imagine scrolling through Google Search and effortlessly collecting items from various retailers into one convenient Universal Cart. That’s exactly what Google is offering now, a seamless shopping experience that allows me to keep all my desired products in one place and check them out with a single click using Google Wallet.

Recently announced by Vidhya Srinivasan, VP/GM Ads & Commerce, Google’s Shopping Graph has reached an impressive 60 billion product listings, a significant jump from the 50 billion earlier this year. This growth reflects Google’s commitment to enhancing our online shopping experiences.

Universal Cart. With Universal Cart, I can add items from multiple stores while browsing Google Search, or even when I’m on YouTube and Gmail. It’s so liberating not to jump from site to site!

Here’s how it works: as I shop, Google helps me find the best deals and in-stock availability across different retailers. Then I simply choose my preferred store for checkout, leaving no room for the hassles generally associated with online shopping.

Google’s Universal Cart is smart too! Imagine you’re assembling a custom PC—your cart will alert you if any parts are incompatible and suggest compatible alternatives. Built on Google Wallet, it even recognizes payment perks and loyalty offers, revealing savings opportunities I might otherwise overlook.

Merchants. Google has partnered with renowned merchants like Nike, Sephora, Target, Ulta Beauty, Walmart, Wayfair, and Shopify sellers such as Fenty and Steve Madden. This wide array ensures I have plenty of shopping options!

Availability. This feature will roll out in the U.S. this summer, initially available on Google Search and the Gemini app, with plans to expand to YouTube and Gmail soon after.

UCP and AP2. Google is also extending the Universal Commerce Protocol to Canada and Australia soon, with plans for the U.K. The Agent Payments Protocol will support secure, accountable transactions by authorizing agents to shop on my behalf according to my specific criteria.

Moreover, Google’s innovative features are set to debut across Google products, starting with Gemini Spark. It’s an exciting time to be an online shopper!

Inspired by this post on Search Engine Land.

May 19, 2026
Discover How Conductor Energizes Clutch’s AI Dashboard

Have you ever wondered how Conductor fuels the innovative AI Visibility Dashboard within the Clutch platform? I’ll take you through the fascinating journey of this integration and show you how it enhances visibility and insights.

As I explore the workings of the AI Visibility Dashboard, it becomes clear how Conductor seamlessly powers this tool, providing valuable features directly within Clutch. The dashboard is designed to offer an intuitive and comprehensive approach to analyzing and optimizing your digital presence.

Inspired by this post on Conductor Blog.

May 7, 2026
Discover the Power of AI with Ask Profound: Your Data’s New Best Friend

I’m thrilled to introduce Ask Profound, an exciting feature for Profound customers. Now, you can engage directly with your AI Search data, transforming how you interact with your information.

Imagine having a dynamic conversation with your data, receiving insights and answers more efficiently than ever. This innovative tool is designed to enhance your data experience, making it more intuitive and personal.

Whether you’re a data analyst, business strategist, or just someone who values data-driven decisions, Ask Profound is here to make your life easier by turning complex data into clear and actionable insights.

Join me in exploring this new era of data interaction where AI bridges the gap between information and understanding. Dive into a smarter way of managing your data with Ask Profound!

Inspired by this post on Try Profound Blog.

April 30, 2026
Unlocking Personalized Marketing: Why Brands Struggle and How to Succeed

When I think about the last time I got hooked on those true crime documentaries, I remember how my streaming app seemed to know exactly what to suggest next. Suddenly, investigative series filled my homepage, and I even got alerts for new releases. The marketing was flawless, and I never saw the behind-the-scenes magic that made it happen—I just dove into the next compelling story.

This is the expectation now. A recent Adobe report reveals that 71% of consumers desire personalized deals and content, with 78% expecting a seamless experience across different channels. Surprisingly, fewer than half of brands meet these expectations consistently.

The root problem lies in the structure of customer data. When it’s scattered across various systems, it becomes difficult for teams to sync insights, timing, and execution effectively. AI cannot magically fix these issues alone. As per the Adobe 2026 report, only a minority of organizations have a data foundation robust enough to support AI at scale.

Starting on the path to modernize and personalize marketing efforts can seem overwhelming. However, by laying a strong foundation for a unified customer experience, progress becomes achievable.

Most brands have ample data, yet it often lacks coherence. If your marketing efforts span across email, web, mobile, paid media, support, and in-person channels, it’s crucial these signals communicate swiftly to shape the next customer interaction.

If alignment isn’t there, the consequences are immediate. Imagine a customer browsing a product online but receiving a different price via email, or having to repeatedly explain their issue to customer support. These inconsistencies slowly erode the trust you’ve built.

Delivering a cohesive customer experience means continuously updating the understanding of the customer and sharing this insight across all teams and touchpoints without delay.

To make this happen, here are a few critical steps:

A unified customer experience begins with a consolidated and dynamic customer profile. Rather than maintaining separate records per channel, build a real-time profile that captures behavior, preferences, and interactions throughout all departments.

With this comprehensive data, customer segmentation becomes more insightful, and messaging more relevant. Customers will no longer face conflicting or redundant communication.

Enhance your data by linking insights directly to actions quickly. For instance, if a customer leaves a cart abandoned, a subtle follow-up can kindle action without delay. Engage with real-time product recommendations and remove offers that no longer resonate.

Real-time relevance is crucial. Our eyes interpret digital ads in under 400 milliseconds, meaning interaction timing is everything. If your systems don’t react swiftly, you miss valuable chances to connect.

AI accelerates these interactions at scale, discerning patterns, predicting intent, and suggesting best actions within milliseconds. Accurate and unified data is essential for AI to function effectively.

In this age of rising privacy standards, protecting customer data is paramount. As more signals are unified and activated in real time, it’s crucial to integrate governance from the ground up.

To maintain a unified experience at scale, companies need a modern cloud foundation to process and activate data effectively, ensuring swift response times, minimal data movement, and stronger security.

Personalization becomes second nature when brands anticipate not just the right message, but the right moment. Unified data, activated in real time with secure infrastructure, elevates personalization from trial-based to operational, making relevance repeatable.

Adobe Experience Platform, powered by AWS, integrates these components, easing execution for your teams. It creates real-time customer profiles that support segmentation and journey orchestration across touchpoints, leveraging AWS’s scalable infrastructure.

Explore our eBook, Capturing Attention in the Age of AI, to discover how Adobe and AWS provide marketers with a complete customer view that optimizes personalization and enhances customer value.

Ready to see how Adobe and AWS can streamline your journey to unified experiences? Reach out to start the conversation today.

Inspired by this post on Search Engine Land.

April 27, 2026
Explore Google’s AI-Powered Chrome: Seamless and Efficient

I’ve recently discovered that Google’s latest update to Chrome now offers an ingenious AI Mode, designed to make my browsing experience more streamlined and efficient. With this new enhancement, I can dive deeper into searches with fewer tabs, making my workflow smoother than ever before.

What’s new? Let me walk you through the three exciting features in Chrome’s AI Mode. First up is the ability to search side-by-side. Now, when I click on a link in AI Mode on my desktop, the related webpage opens right next to it. This setup allows me to easily compare details, visit relevant sites, and ask follow-up questions without losing the context of my search. Here’s how it looks:

Another fantastic addition is the ability to search across my tabs. Whether on desktop or mobile, I can now tap the new “plus” menu on the New Tab page or within AI Mode to incorporate recent tabs into my search. This feature helps AI Mode provide more customized responses and suggest additional sites worth exploring.

Lastly, there’s the multi-input and easy tool access feature. I can mix and match various tabs, images, or files such as PDFs, and bring that context directly into AI Mode. Plus, tools like Canvas and image creation are readily accessible wherever I see the new plus menu in Chrome.

Understanding why this matters to us as users is crucial. These Chrome-specific features launched initially for U.S. English users unlock greater AI Mode capabilities. While currently limited to Chrome users, they clearly indicate Google’s forward-thinking direction in AI integration.

Inspired by this post on Search Engine Land.

April 16, 2026
The Evolving World of AI Search: Insights from 2026

As we step into 2026, I’ve noticed a significant shift in how AI models operate due to the loss of shared data access. This change is creating a landscape where fragmented answers become the norm. It’s fascinating to see how platform-controlled data is redefining the way AI search and visibility are structured.
It’s indeed a thrilling time to explore how these changes are influencing the AI world. As AI platforms enforce tighter control over data, I’m observing more divergence in the answers they provide. This makes understanding the impact on search capabilities and visibility even more crucial, not just for tech enthusiasts but also for industry experts closely monitoring these developments.

Inspired by this post on HiGoodie Blog.

April 1, 2026
Navigating the AI Data Wars: Key Developments from 2023 to 2026

As I delve into the ongoing data battles, I’m struck by how they’re reshaping the AI landscape and the answers we rely on. It’s fascinating to observe the pivotal deals, restrictions, and lawsuits that are creating a fragmented visibility landscape in AI.

This journey through 2023 to 2026 reveals how platform shifts are altering the way data access impacts AI answers. Each step is integral to understanding the changing dynamics of this tech-driven era.

Inspired by this post on HiGoodie Blog.

April 1, 2026
Apple Maps to Launch Ads: A New Era of Location-Based Advertising

I’ve recently come across some exciting news: Apple is gearing up to introduce ads in Apple Maps. This move seems to open a brand-new, high-intent, location-based advertising channel on one of Apple’s most popular apps.

As I’m exploring this development, I’m intrigued by how Apple plans to expand its advertising business beyond the App Store. They’re set to include sponsored listings within Apple Maps, which could mark a significant shift for advertisers already familiar with the platform’s mapping tool.

How it will work. From what I’ve gathered via Bloomberg’s Mark Gurman, the concept is similar to Google Maps. It involves retailers and brands bidding for ad placements against specific search terms. Sponsored businesses would show up in search results within Maps, much like we see with Apps in the App Store.

The timeline. There’s speculation that we might hear an announcement soon, with the actual advertisements making their debut as early as this summer across iPhones, other Apple devices, and even the web.

Why Apple is doing this. Advertising is becoming a lucrative and high-margin revenue stream for Apple’s services. Given the massive user base of Maps across Apple devices, moving into location-based advertising is a natural progression for them.

Why we care. I’m paying close attention because Apple Maps is a widely used app, particularly among iPhone users. Those using Maps are often looking for something specific, which means significant opportunities for local businesses and retailers to reach potential customers right when they’re making decisions.

For those of us already involved in Google Maps or local search campaigns, this could become a valuable complementary channel to explore.

The bottom line. As Apple Maps prepares to launch ads, we’re looking at a high-intent, location-based advertising opportunity that hasn’t existed before on Apple’s platform. I would advise anyone running local or retail campaigns to start planning now. Being an early bird in a new ad auction typically means less competition and better costs before the market fully develops.

Inspired by this post on Search Engine Land.

March 24, 2026

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