Ohtamaa, Tuomas · Theseus (Ammattikorkeakoulujen) · 2025
Tämän opinnäytetyön tavoitteena oli kehittää kohdeyrityksen verkkosivuston hakukoneoptimointia ja selvittää, miten Google AI Overviews vaikuttaa hakukoneoptimointiin. Työssä keskityttiin verkkosivuston nykytilan analysointiin, sen parantamiseen ja konkreettisen hakukoneoptimointisuunnitelman laatimiseen. Hakukoneoptimointi on jatkuvasti kehittyvä ala, johon Googlen tekoälymuutokset tuovat lisämausteen. Työssä on hyödynnetty ChatGPT-tekoälyä ideoinnin tukena, rakenteen suunnittelussa sekä tekstin rakenteen hiomisessa. Työn tietoperusta koostuu hakukoneoptimoinnin keskeisistä menetelmistä ja käsitteistä. Se pohjautuu alan kirjallisuuteen ja ajankohtaisiin verkkolähteisiin. Verkkolähteitä työssä on käytetty paljon aiheen nopean muuttuvuuden takia. Tietoperusta sisältää hakukoneoptimoinnin perusperiaatteet, teknisen optimoinnin perusteet, avainsanatutkimuksen merkityksen, sisäisen optimoinnin ja linkkien rakentamisen vaikutukset. Lisäksi käsittelin Google AI Overviewsin ja sen vaikutuksia hakukoneoptimointiin. Työssä tehtiin kattava hakukoneoptimointisuunnitelma, joka sisälsi avainsanatutkimuksen, teknisen optimoinnin, sisällön kehittämisen sekä linkkien rakentamisen. Auditoinnit toteutettiin hyödyntämällä pääosin Semrushia ja Google Lighthousea, joiden avulla tunnistettiin verkkosivuston keskeiset kehityskohteet. Sivusto ei lähtötilanteessa saanut juurikaan orgaanista liikennettä, joten tavoitteena oli parantaa hakukonenäkyvyyttä pitkäjänteisellä työllä. Työn keskeisiä tuloksia olivat parempaan orgaanisen hakukonenäkyvyyteen tähtäävä hakukoneoptimointisuunnitelma. Suunnitelmassa keskityttiin erityisesti sivuston nopeuden parantamiseen, avainsanojen tehokkaaseen käyttöön ja sisällön kehittämiseen, sillä nämä tekijät vaikuttavat merkittävästi hakukonesijoituksiin. Linkkien rakentamisen osalta korostettiin yhteistyömahdollisuuksia. Johtopäätöksenä voidaan todeta, että verkkosivuston hakukoneoptimointi vaatii jatkuvaa seurantaa ja kehittämistä. Google AI Overviews muuttaa hakukoneiden toimintaa, ja verkkosivustojen on sopeuduttava muutokseen. Tulosten perusteella voidaan suositella, että kohdeyritys jatkaa hakukoneoptimointia keskittymällä säännölliseen sisällöntuotantoon, teknisen suorituskyvyn ylläpitämiseen ja paluulinkkien hankintaan, jotta verkkosivusto vahvistaa asemaansa hakutuloksissa pitkällä aikavälillä.
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Stephan Ory · AfP · 2026
Zusammenfassung AI-Overviews und ähnliche Dienste antworten auf User-Fragen mit einem KI‑generierten Text. Der Aufsatz geht der Frage nach, inwieweit das Äußerungsrecht darauf anwendbar ist. Wer ist verantwortlich und welche Sorgfaltspflichten sind einzuhalten? Untersucht wird die Änderung der Rechtsprechung zu Suchmaschinen und Online-Archiven. Noch ungeklärte Konflikte bestehen bzgl. der nationalen und europäischen Plattformregulierung.
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Christine Libor · AfP · 2025
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Vállez, Mari, 1968-, Soteras, Clara, Chacón, María José et al. · Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona) · 2025
El estudio busca comprender cómo y cuándo se muestran los AI Overviews en las búsquedas relacionadas con medios españoles.
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Yihang Wu, Jiajun Tang, Jinfei Liu et al. · arXiv (Cornell University) · 2026
The integration of AI Overviews into search engines enhances user experience but diverts traffic from content creators, potentially discouraging high-quality content creation and causing user attrition that undermines long-term search engine profit. To address this issue, we propose a game-theoretic model of creator competition with costly effort, characterize equilibrium behavior, and design two incentive mechanisms: a citation mechanism that references sources within an AI Overview, and a compensation mechanism that offers monetary rewards to creators. For both cases, we provide structural insights and near-optimal profit-maximizing mechanisms. Evaluations on real click data show that although AI Overviews harm long-term search engine profit, interventions based on our proposed mechanisms can increase long-term profit across a range of realistic scenarios, pointing toward a more sustainable trajectory for AI-enhanced search ecosystems.
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Yihang Wu, Jiajun Tang, Jinfei Liu et al. · ArXiv.org · 2026
The integration of AI Overviews into search engines enhances user experience but diverts traffic from content creators, potentially discouraging high-quality content creation and causing user attrition that undermines long-term search engine profit. To address this issue, we propose a game-theoretic model of creator competition with costly effort, characterize equilibrium behavior, and design two incentive mechanisms: a citation mechanism that references sources within an AI Overview, and a compensation mechanism that offers monetary rewards to creators. For both cases, we provide structural insights and near-optimal profit-maximizing mechanisms. Evaluations on real click data show that although AI Overviews harm long-term search engine profit, interventions based on our proposed mechanisms can increase long-term profit across a range of realistic scenarios, pointing toward a more sustainable trajectory for AI-enhanced search ecosystems.
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Mikael Lundkvist, Lea Martinelle · KTH Publication Database DiVA (KTH Royal Institute of Technology) · 2026
Med utvecklingen av artificiell intelligens (AI), har både dess användande och intresse ökat. Efterfrågan syns även i undervisningen, där frågorna om hur AI kan användas i undervisningssyfte har växt. AI ökar möjligheterna för oss att ta till kurerad information i olika format, exempelvis genom ljud, bild eller interaktion. Syftet med denna studie var att undersöka möjligheterna för att använda AI-genererade ljudfiler som ett alternativ eller komplement till traditionell kurslitteratur. Detta gjordes genom att låta universitetsstudenter använda NotebookLM:s ljudöversikter för att generera sammanfattningar av sin kurslitteratur i ett podcast-liknande format. Efter detta fick studenterna fylla i enkäter om sin upplevelse och fyra deltog även i en intervju. Enkäten gav statistik över studenternas upplevelser och intervjuerna användes för en tematisk analys. Resultatet visade på att studenterna hade olika användningar för ljudöversikten. Exempelvis fick den studenterna att gå igenom kurslitteratur de kanske annars ignorerat. Det gjorde det även enklare för en student som har svårt med läsningen. Även risker med användningenidentfierades. Den främsta risken var att studenterna hade för stor tillit till att AI:n gav dem korrekt information och inte var benägna att söka i sin ordinarie kurslitteratur efter motsägelser. Även om studenterna i stor utsträckning använde AI:n för att aktivt lära sig, fanns också tendenser som visar på en risk att studenterna använder det som en väg att göra studierna lättare men med mindre lärande. Däremot visade det även på att ljudöversikter kunde göra det möjligt för studenter att reglera sitt lärande för att behålla välmående. Detta presenteras slutligen som tre scenarion på hur en student kan använda sig av ljudöversikter i sina studier med koppling till relevant litteratur.
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Tessa Withorn · College & Research Libraries News · 2025
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Rolon-merette, Thadde, Yuzan Guo, Eugene, Poivré, Fabien et al. · Journal of the Association for Information Systems · 2025
As search engines (SEs) increasingly integrate Artificial Intelligence (AI), concerns grow about reduced website traffic and shifts in the online content economy. For instance, Google's AI Overviews summarize search query information, raising fears about its impact on click-through rates, a key revenue source for many online businesses and content creators. This study examined how AI-generated summaries in SEs affect user engagement and experience. Participants completed tasks on AI-assisted and non-AI-assisted SE interfaces, while user clicks, visual attention, cognitive load, and perceived satisfaction, relevance, and purchase intention were measured. Results showed no significant differences in user engagement or website traffic, though visual attention increased for AI-generated summaries. Thus, AI may not reduce engagement but could impact user experience, warranting further research on the long-term effects of AI in SEs.
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Mehrzad Khosravi, Hema Yoganarasimhan · SSRN Electronic Journal · 2026
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Mehrzad Khosravi, Hema Yoganarasimhan · ArXiv.org · 2026
Search engines increasingly display LLM-generated answers shown above organic links, shifting search from link lists to answer-first summaries. Publishers contend these summaries substitute for source pages and cannibalize traffic, while platforms argue they are complementary by directing users through included links. We estimate the causal impact of Google's AI Overview (AIO) on Wikipedia traffic by leveraging the feature's staggered geographic rollout and Wikipedia's multilingual structure. Using a difference-in-differences design, we compare English Wikipedia articles exposed to AIO to the same underlying articles in language editions (Hindi, Indonesian, Japanese, and Portuguese) that were not exposed to AIO during the observation period. Across 161,382 matched article-language pairs, AIO exposure reduces daily traffic to English articles by approximately 15%. Effects are heterogeneous: relative declines are largest for Culture articles and substantially smaller for STEM, consistent with stronger substitution when short synthesized answers satisfy informational intent. These findings provide early causal evidence that generative-answer features in search engines can materially reallocate attention away from informational publishers, with implications for content monetization, search platform design, and policy.
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Jill Walker Rettberg · ArXiv.org · 2025
This paper analyses AI-generated podcasts produced by Google's NotebookLM, which generates audio podcasts with two chatty AI hosts discussing whichever documents a user uploads. While AI-generated podcasts have been discussed as tools, for instance in medical education, they have not yet been analysed as media. By uploading different types of text and analysing the generated outputs I show how the podcasts' structure is built around a fixed template. I also find that NotebookLM not only translates texts from other languages into a perky standardised Mid-Western American accent, it also translates cultural contexts to a white, educated, middle-class American default. This is a distinct development in how publics are shaped by media, marking a departure from the multiple public spheres that scholars have described in human podcasting from the early 2000s until today, where hosts spoke to specific communities and responded to listener comments, to an abstraction of the podcast genre.
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Milind Singh, Fiona M. Scott Morton · SSRN Electronic Journal · 2026
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Marketing, Reckitt, New Jersey, USA, Tarun Gupta, Supriya Bansal et al. · Journal of Marketing & Supply Chain Management · 2025
This research describes the technology that generative artificial intelligence (AI) is using in search advertising, as well as Google’s Search Generative Experience (SGE), Bing Copilot, and conversational services such as ChatGPT and Perplexity AI. To explore a qualitative analysis approach, it examines the shift from the search engine results pages to AI-produced summaries, conversational responses, and multimodal interfaces between text, image, and voice. It focuses on the AI-Integrated Search Marketing Model, which describes how to design conversational ads, predict audience targeting, and adaptive bidding in real-time AI environments. Studies indicate that generative AI reduces organic visibility and provides a more participatory discovery by enhancing engagement-based knowledge, and marketers also need to prioritize semantic relevance, contextual authenticity, and multimodal creativity. As the paper concludes, the future of search advertising needs to incorporate AI-driven personalization with ethical and transparent marketing practices. The recommendations are for continued adaptation to increasingly dynamic conversational and multimodal search environments.
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T.J. Thomson, Ashwin Nagappa, Shir Weinbrand · 2025
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Kalimuthu Sennimalai · SSRN Electronic Journal · 2025
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Carlos Lopezosa, Lluís Codina, Javier Guallar · Anuario ThinkEPI · 2025
Google AI Overviews, la herramienta de inteligencia artificial generativa integrada en el buscador generalista más utilizado en el mundo, ha llegado a España y con ello, una nueva forma de entender y utilizar los resultados de las búsquedas. Ante esta circunstancia, surge esta nota, que trata de ofrecer, por un lado, una visión general del funcionamiento actual de AI Overviews y, por otro lado, plantear algunas reflexiones sobre los retos y oportunidades que supondrá para los estudiosos y académicos de la Información y la Comunicación.
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Rachel O'Donoghue, Brian Maloney, Conor M. Bowe et al. · Advances in Oral and Maxillofacial Surgery · 2026
This study evaluated the quality, reliability, and readability of preoperative information on Fibula Free Flap surgery provided by AI Overview via a Google Search. Two Oral and Maxillofacial Surgery clinicians evaluated Google AI Overview summary answers in response to 6 frequently asked questions regarding Fibula Free Flap Surgery. The clinicians used the Global Quality Score (GQS) and the Modified DISCERN tool. A Readability Age was calculated using the Simplified Flesch-Kincaid formula. Cohen's Kappa (k) assessed inter rater agreeability. The information provided by AI Overview was rated as high quality (Mean GQS = 4.75; SD = 0.35, on a 5-point scale) and highly reliable, with all questions scoring well on the Modified DISCERN tool. Inter-rater agreement was moderate (k = 0.40). The readability age was calculated as 16.5 years old on average. A high-quality summary of fibula free flap surgery information can be found using Google's AI Overview. Crucially, the reader requires the linguistic skill of a 16.5-year-old to understand the material, which is significantly higher than the recommended 11–13-year age for health materials.
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Jarolimkova, Adela · Zenodo (CERN European Organization for Nuclear Research) · 2025
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Hu, Desheng, Baumann, Joachim, Urman, Aleksandra et al. · Zenodo (CERN European Organization for Nuclear Research) · 2025
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