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What is Google AI Overviews?

Google is an AI-powered search engine feature. This technology facilitates access to information with features such as enriched summary presentation and integration with linked sources, while improving error correction and feedback processes.How Does Google AI Overviews Work?Google AI Overviews uses artificial intelligence and machine learning technologies to provide users with the most relevant and up-to-date information for their search queries. This system analyzes the text input by users using natural language processing (NLP) techniques and derives meaning from it. Then, by filtering large datasets and compiling information from various sources, it delivers the most accurate and relevant answers to users. In this process, Google AI Overviews also considers users' past interactions and preferences, providing personalized search results, which further enhances each user's search experience.What Solutions Does Google AI Overviews Offer?Google AI Overviews offers various solutions that optimize search and information access processes. This feature allows users to quickly and effectively access the information they seek through enriched summaries. It also gathers information from various reliable sources, enabling users to receive more comprehensive answers. These processes help users make more informed decisions. Google AI Overviews also actively utilizes error correction and user feedback processes to continuously improve and enhance the user experience. These features transform the search experience by increasing the platform's overall efficiency and user satisfaction.Enriched Summary PresentationGoogle AI Overviews provides enriched summaries for fast and effective information access. These summaries highlight keywords and critical information within the text, enabling users to quickly understand the content they are looking for. Especially on pages with dense information, they help users focus directly on relevant sections, making the search process more efficient. These summaries are automatically generated by AI-powered algorithms. The system selects the most important information on a specific topic and turns it into a concise summary. This process allows users to quickly access the information they need without getting lost in a large pool of data, saving time while improving the quality of information acquisition.Enrichment with Linked SourcesGoogle AI Overviews integrates information obtained from various sources when responding to user queries. This provides users with a broader perspective related to their queries and allows them to gain more in-depth knowledge on the topics they are searching for. By gathering information from different sources, users can evaluate topics from multiple angles. This feature provides information from multiple reliable sources, allowing users to make more informed decisions. Priority is given to reliable and verified sources, reducing the risk of encountering misleading or incomplete information. This enhances the overall quality of the search experience and significantly improves user satisfaction.Error Correction and Feedback ProcessesGoogle AI Overviews continuously uses error correction and user feedback as a tool for improvement. Feedback provided by users plays a key role in identifying and resolving system errors or shortcomings. These processes make the feature more accurate and user-friendly. Through active feedback mechanisms, user experiences are directly reflected in system improvements. Users can report problems directly, and this information is used to provide better service on the platform. This not only increases user satisfaction but also allows Google AI Overviews to develop its database and algorithms more effectively.Integration with Multimedia ContentGoogle AI Overviews enriches search results with multimedia content, making the information acquisition process more interactive and engaging. Through this integration, information is presented not only in text but also via video, audio, and images. This helps users with visual and auditory learning preferences digest information more effectively. Multimedia content particularly assists in explaining complex topics or introducing new concepts, enabling faster and more effective learning. Additionally, this rich content presentation encourages users to stay longer on the site and engage more.Adaptability Based on User BehaviorGoogle AI Overviews provides personalized search results based on user behavior. Users’ past searches, click rates, and on-site activities are analyzed, and the most suitable content is recommended accordingly. This offers a customized search experience tailored to each user’s unique needs, making the information search process more efficient. Adaptability helps users access the information they are looking for more quickly, thereby increasing overall user satisfaction.How Does Google AI Overviews Redefine Search Technology?Google AI Overviews fundamentally improves information access processes with innovations in search technology. Equipped with instant response, enriched content context, and prioritization of reliable information sources, these features enable users to access the information they need more quickly, accurately, and relevantly. Instant responses minimize waiting time, while context enrichment helps users gain deeper insights. Additionally, reliable source information helps users make decisions based on accurate data.Instant Response and Easy Access to InformationGoogle AI Overviews significantly accelerates the information search process with its ability to respond to user queries almost instantly. This is a major advantage for users needing urgent information. Instant responses shorten access time and allow users to obtain the information they need faster. This feature saves users’ time while making the information search experience more effective and satisfying.Enriching Content ContextGoogle AI Overviews optimizes search results not only based on keywords but also based on the context of the content provided. This ensures that the information presented to users is more relevant and meaningful. Enriching content context allows users to evaluate topics from a broader perspective, offering a more comprehensive information acquisition process. This feature is particularly helpful when researching complex or multi-dimensional topics, enabling users to gain a more accurate and in-depth understanding.Prioritizing Reliable Information SourcesGoogle AI Overviews prioritizes reliable and verified information sources in search results. This approach reduces the risk of exposure to misleading or inaccurate information and supports decision-making based on accurate data. Prioritizing reliable sources ensures users can trust the quality of the information and contributes to making more informed decisions. This is especially valuable in areas where critical information, such as health or finance, is sought.How Google AI Overviews Transforms User ExperienceGoogle AI Overviews enriches the user experience with personalized search results and multimedia integration. By analyzing user behavior, it provides content suited to users’ needs and speeds up the search process. It also offers content supported with video, audio, and images, diversifying access to information. Error correction and feedback mechanisms continuously improve user experiences. These features ensure that users can access information easily and effectively, increasing overall satisfaction.Improvements in Search ExperienceGoogle AI Overviews continuously improves the search algorithm, maximizing user satisfaction in the search process. Faster loading pages, smoother interface, and more accurate results enhance the efficiency and satisfaction of users’ information search experience.Enhancements for User SatisfactionGoogle AI Overviews actively considers user feedback to continuously improve user satisfaction. The adjustments increase users’ loyalty and satisfaction with the platform. This continuously enhances the user experience and encourages more frequent and effective use of the platform. User satisfaction improvements strengthen overall trust in the platform.What Are the Potential Future Impacts of Google AI Overviews?Google AI Overviews can lead the way for further personalization of AI-powered search technologies and unique enhancements in user experiences. With deeper contextual analysis, increased multimedia integration, and real-time adaptation to user behavior, it is expected to transform information access processes. It may introduce innovations across a wide range of fields, from education to healthcare, financial services to daily information searches. Additionally, advancements in AI ethics and reliability may ensure more accurate and trustworthy results, increasing users’ confidence in technology. These features will make access to information faster, more effective, and more accessible.

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2025 SEO Trends & Tips for Success

The constant updates and changes in SEO trends make it necessary to keep track of them. As algorithms become smarter every day to meet people’s need for information, trends that were groundbreaking a few years ago have now lost their popularity.For example, we all witnessed how the voice search trend, boosted by the pandemic, quickly disappeared from trend lists because it failed to meet expectations and was found useful mostly only while driving.Today, artificial intelligence (AI) is revolutionizing the way search engines operate. In 2024 SEO trends, AI’s impact on the entire industry and the way we produce work was the strongest candidate. For 2025, this trend is expected to evolve, transform, and make its presence even stronger. Let’s dive into the 2025 SEO trends and tips for organic growth together.Expectations in SERP Display for 2025: SGE & Personalized ResultsGoogle, the most preferred search engine, had already started incorporating AI into its RankBrain and BERT algorithms to better understand user intent. In 2025, it looks like it will rely more on language learning models such as BARD, MUM, and PaLM2 for enhanced AI display and personalized results in SERP.Last year’s expectations included SGE (Search Generative Experience) and the Search AI Overview feature (or search experience creation), which are anticipated to be more active this year and make a strong mark on the industry.SGE displays look like the examples shown in the two source visuals below.We all personally experience how globally preferred marketplaces have turned into search engines in their own right. After this shift in user needs, Google transformed the SERP display into a format where users can meet their purchase needs without leaving the SERP screen. (Although the feature hasn’t arrived in Turkey yet, we could still access the display through international sources.)To achieve personalized result displays, transactional intent queries can be shown on Google SERP with a left sidebar filter that resembles the Amazon website experience.Example query: buy iphone 16 pro maxGoogle lists results where users can make purchases directly on the results screen. With the filter area, it aims to enable SERP to be used as effectively as an e-commerce site, without the need for different search engines or supporters.With the display flow of personalized results, the SEO industry expects the following effects.1. Google will try to display ads related to the query in the AI Overview box or above it. 2. The AI search engine will show ads based on user preferences and past purchases. 3. Users will be able to shop directly from the results and answer box without leaving the SERP.In summary, Google will transform itself into a shopping assistant and will continue to enhance this transformation with AI support in the coming years.Changes in Organic Traffic & CTR MetricsIn 2025, the presence of SGE, AI display, and personalized results in the SERP is expected to affect organic traffic expectations. With Google providing deeper and more personal results through AI display, a general decline trend in organic CTR metrics is anticipated. Since SGE displays cover 50% of the SERP, Google has started showing SGE results in a dropdown menu to keep competition viable.This seems likely to impact websites in two ways: 1. Organic results displayed in the top 5 will have an increased potential to gain clicks.2. CTR metrics will decrease because users will be able to access the answers they want directly from the SERP.Beyond predictions, according to research provided by Smart Insights, the #1 position in Google’s organic search results now has an average CTR of 39.8%, while the #2 position has 18.7%, and the #3 position has 10.2%. Backlinko’s CTR analysis explains that the top organic result has an average CTR of 27.6%, and cumulatively, the top 3 results capture 54.4% of all clicks. Similarly, Search Engine Land’s analysis indicates that even though only 7% of searches include AI Overview, a decline in organic traffic was observed for content adapted to answer-based queries.The screenshot below shows Similarweb’s 2020 data on CTR and zero-click results across desktop and mobile worldwide.Source: In 2020, Two Thirds of Google Searches Ended Without a Click & Zero-click Google searches rose to nearly 65% in 2020On the other hand, ranking high in organic results and occupying the zero-click position will become more important than ever.Additionally, with SGE & AI display, new metrics/search features to measure organic traffic performance may enter our lives.

Organic Performance Decline Analysis After Algorithm Updates and March 2024 Update

How to Analyze Organic Performance Drops After Algorithm Updates?Since March 2024, organic results have been highly active, with Google core and spam updates causing sharp declines especially on E-commerce websites. These declines were reflected in Google Search Console performance with decreases in clicks and impressions at similar rates. However, while performance reached millions of impressions, the number of clicks remained in the hundreds. This situation was observed more on product detail pages than usual for E-commerce websites.After Google’s recent core updates, it was detected that Google stopped the Image Pack display in SERP for organic queries targeted by e-commerce sites and for queries containing brand names that affect multi-brand sales websites. When we provided analysis for the Retail category affected by the core algorithm update, it appears that Google removed the Image Pack display from the queries targeted by these websites during the May–July period.In this case, product detail pages reaching millions of impressions experience significant losses in impression and avg. position metrics.According to the sources, it’s important to understand that Google’s broad updates can impact images ranked in Web Search results (image packs, knowledge panels, etc.). (Google’s tendency to remove Image Pack display starts from April 2024 following the March 2024 core update.)Methods for Analyzing Organic Traffic DropsWhen analyzing an organic traffic drop, you can first analyze whether the drop is sector-wide. Then, by examining which queries and pages are experiencing the decline in organic performance, you can determine whether this is seasonal or a technical problem. This allows you to identify the top factors affecting the website’s organic performance.After the March 2024 core algorithm update, the performance drop occurred particularly on product detail pages. Therefore, the main focus of this analysis has been prepared around the drop on product detail pages.Sectoral Organic Visibility Analysis in Organic Traffic DropYou can start by analyzing the SEO visibility of competitors that perform on the same keywords in organic search during the relevant period. This way, you can observe whether the performance drop has an industry-wide impact and not just on the target website.For this, SEO tools such as Searchmetrics, Ahrefs, and Similarweb can be used.The visibility graph calculated over position and search volume metrics grouped sectorally based on the 1M keywords tracked by the Searchmetrics tool:Google Search Console Organic Query & Page Analysis Experiencing a DropWhile the page with declining performance had around 151K impressions, the number of clicks was at the 912 level.The declining organic query had around 133K impressions, while the number of clicks was at the 82 level.Ahrefs Target Query SERP Display AnalysisTo understand the impact on impression performance of queries experiencing a decline in organic performance, “Organic Keywords” in Ahrefs Site Explorer was used.Google Image Pack Display / Algorithm Ads appear at the top and bottom of the SERP; the organic content in between drives traffic to your website. A result that appears as an Image Pack is in search type: web format. The link for the image appearing in the Image Pack is reflected in the GSC report as avg. position. The title attribute of the image tag includes the page URL, and this is the link that generates impressions/clicks. When the Image Pack link is clicked on Google SERP, the user is taken directly to the page. Example: 3 million impressions, only 430 clicks (0% CTR). Google’s algorithm selects Image Pack results based on the principle: “The Google Search algorithms select the images as it believes that it is something that would benefit the users.” Merchant Center AnalysisBecause it negatively affects the performance of product detail pages, Merchant Center performance was also examined. Free listings are visible across platforms such as Shopping, YouTube, Google Search, Images, and Lens. Due to the Image Pack removal, Merchant Center free listing performance may not have been reflected in the SERP.Search Appearance AnalysisGSC Search Appearance reports the rich result display of product pages. Rich results containing product information such as price and stock disappeared, and the SERP performance of the pages was affected.Google Analytics Pageview & Engagement AnalysisEngagement for out-of-stock products dropped, thus decreasing pageviews and engagement rate, which may have affected SERP performance.Core Web Vitals AnalysisAs of March 2024, the INP metric began to be used in page performance measurement. Some URLs are insufficient on the mobile version, which may reduce organic performance.Reasons for the Drop After the March 2024 Core Algorithm Update Google stopped the Image Pack display for queries targeted by e-commerce sites and for multi-brand queries containing brand names. Broad updates can impact images in Web Search results. Rich result display for out-of-stock products disappeared. The switch from Infinite Pagination to Classic Pagination may have affected organic performance. There was a loss of authority in branded queries in April 2024. Measures to Take After the March 2024 Update Redirection plans should be created for products with zero stock. Product content should be optimized. Image optimization of product detail pages should be ensured. Actions should be taken to increase the engagement rate of product pages (Rich Results & Merchant Center). Mobile usability and CWV metrics should be optimized (including INP). References Google Developers – Visual Elements Databox – GSC Impressions by Search Types SEO Clarity – Google Shopping SEO Radd Interactive – New Google Shopping Organic Webappick – Organic Listing on Google Shopping Merchant Center Documentation Google Ads – Performance Guide Google – Rich Results Reddit SEO Discussion – Impressions Drop SEO Hacker – Search Appearance Analysis GSQi – Image Pack Rankings

Profitable Organic Content Production with N-Gram Analysis

How to Generate Profitable Organic Content with N-Gram Analysis?In the e-commerce projects we consult on for SEO, we have all certainly encountered the expectation: “We don’t want to create blog content only to gain organic traffic; our goal is also to generate revenue from the blog content we produce.” After performing the analyses below, tracking user behavior and observing the results of the planned strategy will be the most critical part, but I hope this strategy sparks an idea in your mind. :)1. Setting Up N-Gram AnalysisFor this strategy, the pool of search queries resulting in sales on the website is first subjected to N-Gram analysis. This analysis breaks down search queries into 1, 2, and 3-component parts, evaluating each component separately.By ranking according to various metrics such as ROAS, Conversion, and CPO, the top-performing 1, 2, 3, or 4-gram terms are obtained. This allows you to see which terms perform best and have the highest spend.This analysis provides insights for targeting high-performing terms more heavily and removing terms with high spend but low contribution to performance from the strategy.2. List of High-Performing Search Terms via N-Gram AnalysisIn Google Ads Search Network campaigns, we identify main categories for organic content revenue targeting through high-performing generic and short-tail keywords. (For example: men, women, children, men’s shoes, children’s t-shirts, women’s blouses, etc.)Encountering the main keywords identified as high-performing in the N-Gram analysis also in 3 and 4-gram versions provides a sort of validation of the strategy.Although our SEO efforts target long-tail keywords corresponding to 3 and 4 grams, analyzing 1 and 2-gram main keywords is essential for identifying high-performing umbrella keywords that may drive results.TIP: Branded queries still have high sales potential compared to non-branded queries, so extra attention should be paid to umbrella keywords within branded queries, as these keywords are already familiar to your users and have higher purchase potential.3. Organic Performance Analysis of High-Performing KeywordsThe organic traffic performance for the website is analyzed for the 3 and 4-gram keywords identified as high-performing in Google Ads Search Network campaigns. Thus, in the organic content strategy built around keywords performing well in Google Ads, the organic performance transfer for queries aligned with SEO targeting can also be evaluated.4. Organic Content CreationFinally, blog content with Informational & Transactional intent is created for the keywords identified through Google Ads and organic performance analyses, with a focus on sales potential.1. For profitable queries ranking in the top 3 organically, a blog strategy aligned with Transactional intent can be developed, as it is possible to gain authority through blog content.2. For queries with average organic traffic performance, ranking 4-10, a blog strategy aligned with Transactional intent can also be developed.In summary, although targeting long-tail queries is still the primary SEO strategy, you can design your blog content strategy for profitability by identifying revenue-generating keywords from N-Gram analysis with generic and short-tail queries and leveraging existing organic performance for those queries.Even if N-Gram analysis is just one method for profitability analysis, it is an essential step for constructing the correct strategy.Content sharing alone is not enough in the user’s purchase journey; you can encourage users toward conversion by using effective internal linking strategies within blog content.