Google unveiled Gemini Intelligence at the Android Show on May 12, alongside a new laptop called the Googlebook. The company describes Gemini Intelligence as a layer that runs beneath the Android operating system across laptops, phones, watches, and glasses.
The new Googlebook is built from the ground up around an AI agent that understands what’s on your screen and acts on it for you. Point at a date in an email, and it’ll set up a meeting. Select pieces of furniture in an app, and it’ll show you what they’d look like in your living room.
Now that an operating system can complete tasks without users even opening a webpage, how people search, discover, and conduct commerce will fundamentally change. Let’s look at how this will affect the search industry.
What the shift to an agentic operating system means
Up until now, a person had a question or intent, typed it into a search engine, received a list of links, and chose one. Getting your website to rank on that list was the prize, and the entire SEO industry was built around earning that click.
Gemini Intelligence assumes something completely different. A user still has search intent, but an AI agent now handles the middle steps — reading pages, filling out forms, and, increasingly, completing the task for you. Instead of you visiting a website, an AI agent visits it on your behalf.
One example is Chrome Auto Browse, launched in January and built on Gemini 3. It handles multistep tasks like researching flights, filling out forms, scheduling appointments, and managing subscriptions, then pauses to ask before making a purchase.
Ecommerce has a good reason to move toward agentic AI.
A 2025 preprint evaluated the declared-tools approach across online shopping, authentication, and content management. It found that handing an agent pre-structured interaction data cut processing requirements by 67.6% and reduced costs by 34% to 63%, compared with parsing the full HTML document. Task success was only slightly lower than with the traditional method: 97.9%, compared with 98.8%.
Be the brand AI recommends.
See where your brand appears in AI search, where competitors are winning, and what it takes to become the answer AI recommends.
See your AI visibility
The architecture behind Gemini Intelligence
AI agents prefer sites they can transact with cleanly because it’s more efficient. Gemini Intelligence only works if agents can reliably perform tasks on websites.
Two protocols make this possible: WebMCP makes a site’s actions callable, and the Universal Commerce Protocol (UCP) allows an agent to complete a sale. Together, they let an agent finish the job without a human having to load a page.
WebMCP
This API lets a website declare its functions as structured tools an agent can call, such as searching inventory, starting checkout, or submitting a support…
Source link
Disclaimer
We strive to uphold the highest ethical standards in all of our reporting and coverage. We blogs.grocliq.com want to be transparent with our readers about any potential conflicts of interest that may arise in our work. It’s possible that some of the investors we feature may have connections to other businesses, including competitors or companies we write about. However, we want to assure our readers that this will not have any impact on the integrity or impartiality of our reporting. We are committed to delivering accurate, unbiased news and information to our audience, and we will continue to uphold our ethics and principles in all of our work. Thank you for your trust and support.
Website Upgradation is going on for any glitch kindly connect at [email protected]
