Tag: Tech SEO Connect

  • Unlock AI Insights with Google’s New Ads DevCast for Developers

    Unlock AI Insights with Google’s New Ads DevCast for Developers

    I’ve been eagerly following the latest developments from Google, and their new Ads DevCast is truly a groundbreaking resource for developers like me. This initiative offers technical insights into Google Ads and highlights how AI-driven changes are transforming ad APIs.

    The new show is hosted bi-weekly by Cory Liseno, as part of the Google’s Advertising and Measurement Developer Relations team. Ads DevCast focuses on deep technical dives across key tools like Google Ads, Google Analytics, and Display & Video 360. It feels like a direct line to the experts who are constantly innovating in our field.

    What’s interesting here is that Ads DevCast complements Ads Decoded, which is more about campaign strategy, hosted by Ginny Marvin. It’s specifically designed with us developers in mind, highlighting the need for a specialized approach to understanding these platforms.

    The first episode, intriguingly titled “MCPs, Agents, and Ads. Oh My!”, delves into the “agentic shift” that Google is observing. With AI agents becoming the main users of ad APIs, this shift is something we’re all keenly interested in.

    For those of us deeply involved with Google’s ad tools, Ads DevCast is an invaluable resource. It helps us stay ahead of technical evolutions, discover new capabilities quickly, and build efficient integrations in a landscape increasingly dominated by AI.

    I see Google broadening the horizon from a niche “Ads Developer Community” to a wider “Ads Technical Community.” This change allows marketers to carry out technical tasks without needing exhaustive development cycles.

    As a pilot project, Ads DevCast is still very much in development, and Google is actively seeking feedback from us to refine future episodes. It’s exciting to know we can influence its direction.

    This initiative reinforces Google’s commitment to keeping us in the loop with their latest innovations, enabling us to adapt quickly and effectively in an AI-first world. Check out Ads DevCast if you haven’t already!


    Inspired by this post on Search Engine Land.


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  • Top Wearable Tech Domains Dominating AI Search

    Top Wearable Tech Domains Dominating AI Search

    As I delve into the world of AI searches for wearable technology, I’ve noticed a fascinating trend. It turns out that trusted third-party sites are more frequently favored over brand websites. This piqued my curiosity, and I wanted to dig deeper into these patterns and uncover how one can achieve AI visibility.

    One of the key aspects that stood out is the consistency in how certain domains are cited across AI searches. These sites have established a level of trust and authority that AI algorithms consistently recognize. As I’m navigating through this data, I’m exploring the most frequently cited domains in this realm and the trust patterns they demonstrate.

    Gaining AI visibility isn’t just about being present; it’s about earning trust and authority. By understanding these patterns, I feel more equipped to help others and myself in enhancing the visibility of our wearable tech offerings.


    Inspired by this post on HiGoodie Blog.


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  • Explore Google’s WebMCP: Revolutionizing AI Web Interactions

    Explore Google’s WebMCP: Revolutionizing AI Web Interactions

    AI content crawlers

    Is this the new technical SEO frontier? This question is top of mind for many of us as Google has recently unveiled an early preview of WebMCP, a protocol shaping the way AI agents engage with websites. According to André Cipriani Bandarra from Google, “WebMCP aims to provide a standard way for exposing structured tools, ensuring AI agents can perform actions on your site with increased speed, reliability, and precision.”

    WebMCP offers developers the capability to communicate with LLMs through our websites about the specific actions that various buttons and links should initiate. With this protocol, websites can publish a “Tool Contract” using the new browser API, navigator.modelContext. This means rather than leaving the AI to guess, our websites can present a structured list of functions, like buyTicket(destination, date), allowing the AI to execute these functions directly.

    Structured interactions for the agentic web. WebMCP introduces two new APIs enabling browser agents to act on behalf of users:

    • Declarative API: This offers standard actions that can be simply defined within HTML forms.
    • Imperative API: For more complex, dynamic interactions that need JavaScript execution.

    These APIs serve as a crucial bridge, making our websites “agent-ready” and facilitating more reliable and high-performance agent workflows compared to raw DOM actuation.

    Use cases that Google has put forward highlight how AI agents can tackle complex tasks efficiently and confidently for users:

    • Travel: With structured data, agents can help users search for, filter, and book the exact flights they want, ensuring accuracy in results.
    • Customer support: Agents can automatically populate detailed customer support tickets, filling in all required technical details without user intervention.
    • Ecommerce: Enhancing shopping experiences where agents can locate, configure, and navigate purchasing options flawlessly.

    How to access the preview. If you’re interested in trying out WebMCP, you can apply for the preview through this link.

    Why we care. The advent of agentic experiences marks a significant shift in search and potentially SEO. Esteemed voices in the industry, such as Dan Petrovic and Glenn Gabe, have highlighted this as a pivotal transformation, comparable to the impact of structured data and described it as a big deal.

    Exploring these cutting-edge protocols could be extremely valuable for anyone keen on staying at the forefront of SEO developments.


    Inspired by this post on Search Engine Land.


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  • The Unsettling Reality: Insights from Analyzing 250M AI Searches

    The Unsettling Reality: Insights from Analyzing 250M AI Searches

    I recently dove into an analysis of a staggering 250 million AI-generated responses. What I discovered provides a sobering insight into the current landscape of AI search capabilities.

    The analysis stemmed from my presentation at Tech SEO Connect in Raleigh, North Carolina, on December 5th, 2025. During the event, I shared a detailed breakdown encapsulated in my deck, which is a testament to the transformative yet challenging nature of AI in search technologies.


    Inspired by this post on Try Profound Blog.


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