Published on: February 21, 2025 / update from: February 21, 2025 - Author: Konrad Wolfenstein
AI mode in Google Search and Advanced Plans in Google Ads: Artificial Intelligence as a Game Chang in 2025-Image: Xpert.digital
Focus on transformation: Google's vision for digital landscape
Transformation in Google Search and Google Ads
The year 2025 is characterized by profound changes for the digital landscape, especially for the way we are looking for information and how companies reach their target groups online. Google, the undisputed market leader in the field of search engines and online advertising, is driving this transformation with two groundbreaking innovations: AI mode in Google Search and the Advanced Plans in Google Ads. These developments not only promise improved user experience, but will also fundamentally redefine the rules of the game for search engine optimization (SEO) and digital marketing.
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The rise of AI mode in Google Search: A paradigm shift in information procurement
The conventional approach of Google Search, which has been dominating for decades, is based on the input of keywords and the subsequent presentation of a list of websites that contain these keywords. This approach was revolutionary and fundamentally changed the procurement of information, but has reached its limits with more complex and exploratory questions. Users who are looking for deeper insights, want comparative analyzes or want to familiarize themselves with new subject areas often have to formulate several search queries, search through numerous websites and laboriously put together the information.
This is where AI mode comes in. Google is already intensively testing this new search mode internally, which is expected to be open to the general public in early 2025. AI mode represents a fundamental change in search interaction by enabling users to ask open, exploratory and complex questions in natural language. Instead of limiting yourself to precise keywords, users can formulate their information needs in the form of complete sentences and detailed inquiries, similar to a conversation with an expert.
The heart of AI mode forms Gemini 2.0, Google's most progressive and most powerful AI model. Gemini 2.0 is able to understand the nuances of human language, to record the context of questions and to recognize complex relationships. In contrast to traditional algorithms based on the mere agreement of keywords, Gemini 2.0 analyzes the user generation behind the question and provides answers that are precisely tailored to the needs of the user.
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Areas of application of AI mode: advice, comparison and contextual interaction
AI mode unfolds its full potential, especially in areas where users seek advice and orientation, want to make complex comparisons or need in-depth information on a topic. Some examples of question types that are ideal for AI mode are:
Calculations and planning
Instead of laboriously researching individual ingredients and portion sizes, AI mode can take over complex calculations and planning. A question "How many bricks do I need for a garden wall of 5 meters long and 1.80 meters high?" Can answer AI mode precisely and immediately. He can also help with the travel planning: "Plan a three -day city trip to Rome for two people in October with a budget of 1500 euros, including flight and accommodation in the center."
Compare and analyzes
AI mode enables detailed comparisons and analyzes of different products, services or options. For example, users can ask: "Compare the advantages and disadvantages of electric cars and hybrid cars in terms of environmental friendliness, costs and reach." Or: "Which is the best credit card for students with frequent trips abroad?" The AI mode analyzes relevant data, takes into account various criteria and presents a comprehensive comparison analysis.
Entry into new hobbies and activities
If you want to start a new hobby or try a new activity, you often face a flood of information and need orientation. AI mode can act as a personal assistant here. Questions like "What do I need to start kitesurfing?" or "What equipment is recommended to start hiking?" are answered comprehensively by AI mode, including recommendations for equipment, courses and resources.
Travel planning and local recommendations
Travel planning can be time -consuming and complex. AI mode significantly simplifies this process by providing personalized recommendations for travel destinations, accommodations, restaurants and activities. For example, users can ask: "Find the best vegan restaurants in Berlin-Kreuzberg with outdoor area and reservation option." Or: "Which sights in Florence are particularly recommended for those interested in art and how do I avoid long queues?" AI mode takes into account user preferences, local information and current reviews to create tailor-made travel suggestions.
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Contextual interaction through follow-up questions: A conversation with the search engine
An outstanding feature of AI mode is the ability to contextual interaction through follow-up questions. Users can refine, specify or expand their original request without having to formulate a completely new search query. AI mode keeps the context of the previous questions and interprets follow-up questions in connection with the previous conversation.
Let us assume that one user first asks
"What are the best hiking trails in the Black Forest?" AI mode provides a selection of hiking trails. Then the user can ask a follow-up question such as: "Which of them are suitable for families with children?". AI mode understands that the following request refers to the previous request and filters the hiking trails in the Black Forest for family friendliness. This conversational interaction enables more natural and efficient information procurement, since users can gradually refine their search query and receive deeper information without losing the context.
Technological foundations of the follow-up function: Contextual understanding and transformer models
The ability of AI mode for contextual interaction is based on advanced technologies for contextual formulation of follow-up questions. The system analyzes any follow -up question, recognizes whether it refers to previous contexts, and interprets the question internally in order to explicitly incorporate missing information. This reformulated question is then answered as an independent request, whereby the context of the previous interaction is taken into account.
The technological basis for this forms transformer models, a special architecture of neuronal networks that has proven to be particularly effective in the processing of natural language. Gemini 2.0, which drives AI mode, uses this transformer architecture in combination with linguistic rules, historical data and machine learning models. The system generates several formulating candidates for each request and its context and evaluates these candidates based on various signals to provide the most relevant and precise answer.
Advanced Plans in Google Ads: AI-based budget optimization for maximum advertising effect
In parallel to the transformation in Google Search, Google also introduces innovative innovations in the area of online advertising. With Advanced Plans, the REACH Planner tool in Google Ads is expanded to include a AI-based function that is intended to help advertisers allocate their advertising budgets more effectively and achieve maximum advertising effect.
Traditionally, planning online advertising campaigns in Google Ads requires a high degree of expertise and manual work. Advertisers have to combine various display types (e.g. search ads, display ads, video displays), targeting options, bid strategies and budgets to achieve their marketing goals. This process can be time -consuming, complex and prone to errors, especially for companies with limited resources or without specialized marketing teams.
AI-supported suggestions for optimal budget allocation and display combinations
Advanced Plans aims to simplify and optimize this planning process by providing AI-supported suggestions for optimal combinations of ads and budget allocations. Based on the conversion goals defined by the advertiser (e.g. website visits, leads, sales), Advanced Plans analyzes historical data, competitive information and current market trends in order to generate personalized recommendations.
The tool takes into account a variety of factors, such as:
- Target group: demographic characteristics, interests, behaviors of the target group.
- Competition environment: activities of competitors, bid landscape, market shares.
- Budget: Available advertising budget and desired budget allocation via different channels.
- Conversion goals: Defined marketing goals and desired results of the campaign.
- Display types: Potential and reach of various display types in relation to the target group and the conversion goals.
On the basis of this analysis, Advanced Plans propose optimal combinations of ads and budgetallocations that aim to achieve the defined conversion goals with the available budget. Advertisers thus receive a well -founded basis for their campaign planning and can distribute their budgets more effectively to different channels.
Advantages of Advanced Plans: Efficiency increase and improved campaign performance
The introduction of Advanced Plans offers advertisers a number of advantages:
Increased efficiency
The planning process is significantly accelerated and simplified because the AI-based suggestions reduce manual research and analyzes. Marketing teams can concentrate on strategic tasks and the creative design of the campaigns.
Improved campaign performance
Thanks to the optimal budget allocation and ad -type combinations, advertisers can improve their campaign performance and achieve higher conversion rates. The AI supported suggestions are based on data-driven knowledge and minimize the risk of wrong decisions.
Access to advanced expertise
Companies without specialized marketing teams or with limited budget can also benefit from Advanced Plans because they receive access to advanced expertise in the field of campaign planning. The AI supported suggestions make it possible to develop and implement complex campaign strategies without having to build up comprehensive expertise.
Flexibility and adaptability
Advanced Plans is flexible and adaptable to changing market conditions and corporate goals. Advertisers can adjust their conversion goals and budget requirements at any time and receive updated recommendations.
Effects on SEO: user design, quality content and EEAT in focus
The introduction of AI mode in Google Search and the further development of Google Ads through Advanced Plans have far-reaching effects on search engine optimization (SEO). SEO strategies must adapt to these changes in order to be successful in the future. Some of the most important effects are:
Focus on user stations
With AI mode, the user generation moves even more to the center of the SEO efforts. Pure keyword optimization loses importance, while optimizing the needs and questions of the users is becoming increasingly important. SEO experts have to deal intensively with the user generation that is behind search queries and create content that answered this intention extensively and precisely. This requires a deeper analysis of the target group, your questions, problems and information needs.
Quality content as the number one ranking factor
Google's algorithms are increasingly prioritizing high -quality, relevant and comprehensive content that offer real added value for users. Superficial, keyword-stuffed or irrelevant content will have even less chances of a good ranking in AI mode. SEO strategies must concentrate on the creation of expert content that offers detailed information, well-founded analyzes, practical tips and original perspectives. The quality of the content becomes a decisive differentiation feature in the competition for the top positions in the search results.
Eeat principle is gaining in importance
The EEAT principles (experience, expertise, authoritativeness, trusting-experience, expertise, authority, trustworthiness) become even more important for ranking in AI mode. Google attaches great importance to presenting users trustworthy and credible information, especially with complex and sensitive topics. SEO strategies must strengthen the Eeat signals of a website by highlighting the expertise of the authors and the company, quoting credible sources, providing transparent information and ensuring a positive user experience. The establishment of authority and trust becomes a long -term and continuous process for successful SEO.
Technical optimization remains relevant
The technical optimization of a website also remains an important ranking factor in AI mode. The Core Web Vital, in particular the Interaction to Next Paint (Inp) Metrik, which measures the responsiveness of a website to user interactions, are still crucial for a positive user experience and a good ranking. SEO experts must ensure that websites are quickly charged, mobile-friendly, offer intuitive navigation and have optimal technical performance. A solid technical basis is the prerequisite for success in the AI-based search environment.
Adaptation and innovation for the future of digital marketing
The introduction of AI mode in Google Search and the Advanced Plans in Google Ads marks a turning point in digital marketing. Google thus underlines its efforts to continuously improve the search experience through AI integration and at the same time provide advertisers more advanced tools. For SEO experts, marketing experts and companies, it will be crucial to adapt to these changes, to optimize their strategies accordingly and to use the opportunities of these innovations. The future of digital marketing will be shaped by the ability to understand, integrate and use AI technologies. Those who face these challenges and develop innovative approaches will also be successful in the AI-based digital landscape.
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