During its annual conference on E / S developers, Google unveiled plans to directly integrate the generative AI into Google research.
In addition, Google has announced an expansion of its research experience fueled by AI, designed to reinvent the way people discover and consume information.
Upcoming upgrades include:
- Adjustable presentations to simplify the language or provide more details
- Reasoning in several steps to manage complex requests with nuances
- Integrated planning capacities for tasks such as meal preparation and holidays
- Search results pages organized in AI to explore ideas and inspiration
- Visual search questioning through videos and images downloaded
Liz Reid, head of Google Search, said in a announcement::
“Now, with a generative AI, research can do more than you have ever imagined. So you can ask what you think or everything you need to do – from planning to brainstorming – and Google will take care of the leg work. “”
What’s new in Google search
New Gemini model
A personalized gemini language model is at the heart of the research redesign supplied by Google.
Google’s announcement indicates:
“All of this is made possible by a new personalized gemini model for Google research. It brings together the advanced capabilities of Gemini – including reasoning in several stages, planning and multimodality – with our best research systems. »»
AI glimps generate quick responses to their requests, gathering information from several sources.
Google reports that people have already used IA previews of billions of times via research laboratories.
Presentation of AI in American search results
Google brings IA glimpse of research laboratories in its general search results pages.
This means that hundreds of millions of American researchers will have access to IA’s overviews this week and more than a billion by the end of the year.


Researchers will soon be able to adjust the language and level of detail in the AI glimps to meet their needs and understanding the subject.


Complex questions and planning capacities
The reasoning capacities in several stages of Gemini will allow you to ask complex questions and receive detailed answers.
For example, you can ask: “Find the best yoga or Pilates studios in Boston and show the details of their intro offers and the walking time of Beacon Hill” and receive a complete response.


In addition to responding to complex requests, Google will offer planning assistance for various aspects of life, such as meal planning and holidays.
You can request a personalized meal plan by looking for something like “create a 3 -day meal plan for an easy -to -prepare group”. You will receive a tailor -made plan with recipes on the web.
Results organized by AI and visual research
Google introduces results pages organized by AI which classify the useful results in unique titles generated by AI, presenting various perspectives and types of content.
This feature will initially be available for meals and recipes, with plans to extend to films, music, books, hotels, purchases, etc.
Google will also allow users to ask questions using video content. This visual research capacity can save you time to describe problems or type requests, as you can save a video instead.


What does this mean for companies?
Although Google boasts this update as a means of improving the quality of research, the importance of the content generated by AI could have an impact on companies and publishers that count on Google research traffic.
The AI glimps occupy an extended screen building and could bury the traditional web results of the “blue link”, which considerably limits click rates.
Data from Zipie and contributor to the Journal of search engines Bart Goralewicz Indicate that IA previews cover more than 80% of research requests in most verticals.
In addition, as part of the Single classification system for IA previews, only 47% of the 10 best traditional web results appear in the form of sources supplying overall generation.
Bart GoralewiczFounder of Onely, discovered this about the IA glimps (formerly known as SGE):
“SGE works at a level completely different from that of traditional research. If you are aiming to appear in Google SGE, you will have to develop a separate strategy adapted to this new environment. It’s a whole new game.
TOMASZ RUDZKI DE ZIPTIE Plus:
“Google SGE is the most controversial change and causing anxiety,” said. With so many changes from week per week, companies based on organic research must carefully monitor the evolution of SGE. »»
How to optimize your site for AI previews
As research has accelerated, referencing professionals and content creators are faced with new challenges in the optimization of discovery.
Consider implementing these tactics for a potential increase in the visibility of research results.
Content structure explicitly as direct questions and answers.
With AI previews responding directly to requests, content optimization in a question format and answers can increase the probability of having surfaced by Google AI models.
Create overview pages of subjects covering initial research to final decisions.
Google’s AI research can manage complex requests and in several steps. The creation of complete overview content which covers the entire course – from initial research to finishing purchasing decisions – could position these pages as sources of choice for Google AI.
Continue star status on issues of questions and internal to the High Authority and the information sites.
Studies have revealed that sites like Quora and Reddit are frequently mentioned in the previews of Google AI. Industrial level content appeared prominently on these high -level questions / answers could increase visibility in AI search results.
Maximize technical referencing to improve the content ramp on the page.
Like traditional web robots looking for research, Google AI models are still counting on the content of a site. Ensure optimal technical referencing for robots of robots to access and adequately make all the content on the page is crucial to make surfaces in the IA previews.
Follow -up of the search volume for requests with IA previews.
The identification of requests that currently trigger IA glimps can reveal content gaps and optimization opportunities. The monitoring volume of monitoring of these requests makes it possible to prioritize the efforts concerning the terms and subjects of great value that Google already improves with the results of the AI.
Ahead
While Google is progressing with its AI -centered research vision, disturbances could reshape digital economies and information ecosystems.
Companies must acclimatize their strategies for a research landscape fueled by AI.
We will follow these developments in close collaboration in Souch Engine Journal in order to provide strategies to help make your content to discover in AI’s overviews.