I’m watching OpenAI discontinue ChatGPT Atlas, its standalone desktop browser, and move its browser-based AI features into the new ChatGPT desktop app. That app brings together ChatGPT Work, OpenAI’s work-focused agent, and ChatGPT Codex.
The end of Atlas. I’m taking note of an Aug. 9 retirement date after OpenAI’s James Sun confirmed the plan on X.
I’m also noting Sun’s exact wording: “The current targeted date for deprecation is 8/9, and we’ll share more information in the upcoming days both in-app and via email.”
One desktop app. I see the new ChatGPT desktop app becoming OpenAI’s primary desktop product, complete with built-in browser capabilities. Instead of maintaining a separate AI browser, OpenAI is combining browsing, work-agent features, and Codex in one place.
Chrome users can keep Chrome. If I prefer using Chrome, I can access ChatGPT and Codex through OpenAI’s Chrome extension without switching to a dedicated OpenAI browser.
As AI reshapes search, every glowing path to discovery carries commercial value—turning SEO investment into a conversation about pipeline, risk, and customer acquisition costs.
Why I care. I see this as an important shift because OpenAI is moving AI browsing into the main ChatGPT experience, where more people can ask questions, research brands, and complete tasks. In my view, that gives ChatGPT another opportunity to influence discovery beyond traditional search results.
I first saw ChatGPT Atlas launch on Mac in October. OpenAI later released a dedicated Codex app and added an in-app browser in April. Now, I’m watching those capabilities move into the new unified ChatGPT desktop app.
I’ve always been fascinated by how technology can change the way we interact with advertisements, and Amazon’s latest innovation, Alexa+ Agentic Ads, is a game-changer.
This incredible new format allows us to browse, inquire, and purchase products within the comforting interface of an Alexa conversation, dramatically simplifying the buying process.
Introducing Alexa+ Agentic Ads. Today, Amazon unveiled this forward-thinking advertising solution that seamlessly transitions users from viewing an ad to making a purchase, all without leaving the Alexa environment.
They’ve partnered with key players like Papa Johns for food orders and artists like Beck, Jill Scott, and Omar Courtz for concert ticket sales, making this experience accessible on Echo Show devices.
The Impact. By eliminating the typical handoff between an ad and a checkout page, Alexa+ Agentic Ads aim to enhance conversion rates and reduce drop-off. This could be especially beneficial for early adopters looking to engage high-intent customers right at their moment of decision.
How It Operates. Unlike traditional ads that redirect you to another platform, Alexa+ Agentic Ads maintain the entire purchasing journey within a dialogue.
With interactive capabilities, it enables us to ask questions, compare options, check availability, and finalize purchases through natural conversations with Alexa, minimizing friction between desire and acquisition.
Concerts and Culinary Delight. The format is initially being utilized for live events and dining experiences.
Imagine seeing an ad for a concert; you can inquire about show specifics, compare seat options, and buy tickets—all directly through Alexa. Tickets are then seamlessly added to your Ticketmaster account, bypassing the need for additional apps or sites.
Similarly, when pondering dinner plans, a Papa Johns ad may spark immediate ordering as Alexa+ employs past interactions and preferences to suggest your favorite toppings before completing the order—all within the same conversation.
Looking Ahead. As we witness the evolution of digital advertising through Alexa+ Agentic Ads, we’re glimpsing a future where AI assistants are pivotal commerce platforms, offering brands a revolutionary way to engage consumers right at the point of action.
I recently discovered how Amazon is revolutionizing shopping with Alexa by turning it into a powerful tool for both purchasing and advertising. It’s fascinating to see how they are threading advertising into AI-driven shopping chats, opening fresh channels for brands to connect with customers.
Amazon is demonstrating that conversational and agentic shopping aren’t just futuristic ideas. They’re already changing the landscape of how we discover, compare, and purchase products today. It’s a compelling shift that makes shopping more interactive.
As AI assistants evolve into shopping hubs, advertisers can seize the moment when I express buying intent, rather than depending solely on traditional search methods or passive sites. This is a game-changer for both consumers and brands.
What’s happening: Amazon has cleverly merged its AI shopping assistant, Rufus, with Alexa+ to create an enhanced shopping experience named Alexa for Shopping. This service aids us in researching products, comparing options, tracking prices, building carts, and even automating purchases.
Advertising is a key component of this new experience. Integrated directly into our shopping dialogues are sponsored products, brands, and conversational ad formats, making it easier for brands to capture our attention.
What advertisers get: If you’re an advertiser, good news — your existing sponsored ad campaigns are automatically enabled to appear in Alexa for Shopping. The conversational ad formats also give brands a unique way to engage us throughout our buying journey. Tools like closed-loop measurement, first-party data signals, and AI-driven campaign optimizers make ad management more efficient.
Why we care: The integration of advertising into Alexa for Shopping provides advertisers with access to rich conversations filled with intent, from the moment of product discovery all the way to purchase. This means a potentially shorter path to conversion and enhanced metrics tracking.
The update also shows us how commerce and advertising are blending within AI assistants. This blend could potentially make our journey from product discovery to purchase smoother, while also offering advertisers comprehensive measurement abilities from the initial impression to the final purchase.
By the numbers: In 2025, more than 300 million customers used Rufus, according to Amazon. They also reported that nearly 20% of us engage in ongoing conversations about brands when prompted by Sponsored Brands, and those prompts lead to a 6% increase in conversions.
Between the lines: Amazon’s offering to advertisers is that conversational AI generates richer intent signals than traditional methods. Instead of decoding our needs from clicks or searches, Alexa can respond directly to our expressed requests, preferences, and purchase goals in our natural language.
I’m excited to share that Google Analytics has introduced a new feature that allows me to track traffic from AI assistants, such as ChatGPT, Claude, and Gemini. This update gives me the ability to see which AI tools drive visits to my website and analyze user behavior more effectively.
With this new AI Assistant channel, I can now easily measure visits from these AI-powered chatbots without needing to apply custom filters or workarounds. The convenience of having this data readily available in Google Analytics is a game-changer for my analysis and reporting.
What’s New. Google Analytics now automatically labels traffic from supported AI assistants. Whenever a user visits my site through a supported AI chatbot, the visit is categorized under this new channel, which uses specific traffic source values such as Medium: ai-assistant, Channel Group: “AI Assistant,” and Campaign: (ai-assistant).
Why This Matters. This update is incredibly important to me because it provides a cleaner and more straightforward way to monitor AI traffic directly within standard GA4 reports. I can now track which AI assistants send the most traffic, gauge whether AI traffic is on the rise, and compare it to organic search and other channels. Moreover, it gives me insights into whether users from AI tools exhibit different conversion behaviors.
The Announcement. For more details on the new AI Assistant traffic measurement, I can refer to the official announcement.
Recently, I’ve discovered that Google is stepping up its game in AI tools for advertisers and retailers.
They’re testing something quite futuristic called Merchant Advisor, an AI assistant integrated directly into the Merchant Center. This tool aims to simplify the process of setup, troubleshooting, and optimization for us all.
What’s happening. As someone who watches Google’s every move, I’ve noticed them testing Merchant Advisor, a cutting-edge AI-powered chatbot right within Google Merchant Center. Although in beta, its purpose is clear: to offer personalized recommendations and support, making my experience smoother than ever.
How it works. The Merchant Advisor acts like a proactive assistant, offering tasks and suggestions like setting up a returns policy or finalizing account setup steps. It feels like having an assistant who is always available to enhance my feed quality and account health.
The bigger trend. This development is part of Google’s strategy to weave AI assistants throughout its marketing products, reminding me of earlier launches like Google Ads Advisor and Analytics Advisor. The AI co-pilots are evidently becoming the norm for managing campaigns and analytics.
Between the lines. Let’s face it, Merchant Center can be a technical labyrinth, especially for smaller retailers juggling feeds, policies, and diagnostics. But now, with an embedded AI guide, I’m finding it less daunting to get onboarded quickly and spot optimization opportunities I might have overlooked.
Spotted by. This feature first caught the eye of Tamara Hellgren during a Google Ads Decoded podcast episode that focused on retail innovations.
The bottom line. It’s clear to me that Google is transforming the Merchant Center into a more intuitive, AI-assisted environment, which reflects a larger trend towards automation within its advertising landscape.
I recently found myself attempting to map out a Lumascape of answer engine optimization (AEO) tools. It’s a daunting task, and my computer simply doesn’t have the bandwidth for that!
Instead, I pivoted to focus on a select few tools I’ve been using effectively to boost my clients’ visibility in AI search results.
Here, I’m sharing a concise list: four tools that I consistently rely on, alongside three others I’m currently evaluating for potential integration into my workflow.
1. AI Assistants: ChatGPT, Claude, Perplexity
These AI assistants have proven invaluable. When used with intentionality, they serve as powerful tools for research and analysis in AEO.
For AEO, they assist in several key areas:
Competitive landscape research.
Content gap analysis.
Prompt testing.
Entity and topical coverage audits.
Structured content drafting.
The difference from casual usage lies in applying a specific AEO research methodology.
Why They’re Essential
Understanding AI systems processing is key to AEO, and regularly engaging with these tools analytically is the most direct way to gain that knowledge.
By querying AI with your audience’s prompts, you glean insightful data on sources, entities, and answer structures.
Competitive Strengths
These platforms each offer unique advantages:
ChatGPT is well-known for its broad synthesis of general knowledge.
Claude provides nuanced, analytical responses.
Perplexity excels with its clear citation methods, beneficial for AEO research.
What You Can’t Do Without Them
They are crucial for firsthand AEO status assessment, including:
Manual prompt testing: Assess your brand representation.
Competitive research: Use category-level queries to analyze competitor presentation.
Topical gap analysis: Identify missed opportunities.
Structural content analysis: Understand preferred AI answer formats.
Caveats
AI outputs are variable, influenced by many factors. These tools help build intuition and hypotheses that should be validated with quantitative data.
Beware of the time-consuming nature of manual testing. Establish a framework and stick to it.
2. Profound
Profound specializes in AEO intelligence, tracking how AI platforms interact with and cite your content. It also measures brand mention frequency, sentiment, and competitor visibility.
Why It’s Essential
Profound provides direct insights into your brand’s presence in the AI answer ecosystem, shifting the focus from rankings to visibility in AI responses.
Competitive Strengths
Its cross-platform view offers comparative insights, allowing you to see how your citation share compares to competitors.
What You Can’t Do Without It
Without it, quantifying your brand’s presence in AI-generated answers becomes difficult. It also tracks citation shares and identifies content driving AI mentions.
It’s a costly tool, but valuable for identifying areas where your brand is losing ground to competitors.
Caveats
As the tool evolves rapidly, the data remains a timely reflection of AI outputs. Remember, these metrics are signals, not precise rankings.
3. Google Trends and Google Keyword Planner
Google Trends shows search interest trends, while Keyword Planner gives search volume estimates, both critical for AEO strategy.
Why They’re Essential
Understanding demand is crucial for content optimization in AI answers. These tools provide reliable data on trending topics and search volume.
Competitive Strengths
While Google Trends offers momentum analysis, Keyword Planner’s forecasting can prioritize content based on future demand.
What You Can’t Do Without Them
Build a dynamic AEO strategy by monitoring demand trends and identifying emerging topics and seasonal patterns.
Caveats
These tools reflect traditional search behavior, not AI-acre queries, and Keyword Planner requires an active Google Ads account.
Always use them as a guide, not a complete picture, of AI demand.
4. Google Search Console and Google Analytics
These are essential for tracking search performance and on-site behavior, revealing insights into AI platform traffic and content effectiveness.
Why They’re Essential
They help diagnose whether AI-cited content is also visible in traditional search and track AI-driven visits and engagement.
Competitive Strengths
GSC offers unmatched query data, while GA4’s cross-channel tracking reveals AI platform engagement.
What You Can’t Do Without Them
Understanding AEO’s business impact and addressing indexing issues rely on these insights.
They illuminate high-impression, low-CTR content, indicating potential AI Overview cannibalization.
Caveats
GSC data is Google-centric and has some limitations, while GA4 requires precise configuration for accurate tracking.
Rapid-Fire Roundup
With numerous tools still to explore, consider testing these emerging options to assess their AEO value:
5. AI Trust Signals
This tool evaluates credibility signals influencing AI citation decisions. It’s a new dimension worth exploring as AI citation mechanics advance.
6. Ahrefs
Ahrefs shines with backlink analysis and content gap insights, indirectly supporting AEO by building authority signals.
Its Content Explorer helps identify high-performing content likely to be referenced by AI.
7. Roadway AI
This AI-native platform focuses on marketing growth activities, including attributing AEO signals to revenue.
Keep an eye on this developing option as it may gain importance quickly.
The Reality of AEO Tools: Fast-Moving and Imperfect
The AEO landscape is evolving, with tools still catching up. Prioritize consistent measurement, analysis, and testing to extract actionable insights.
Aiming for perfect setup may be unrealistic, but if a tool shows how it enhances your AEO efforts, that’s a positive start.
Consult industry colleagues with firsthand tool experience before committing, as better or cheaper alternatives may emerge soon.
