Research on global communications, media landscapes, AI search visibility, and investment promotion.
Veerixa deeply analyzes how the AI search ecosystem is reshaping information discovery, knowledge retrieval, and brand visibility. It explores the systemic changes from keyword matching to RAG-driven citation chains.
Veerixa conducts an in-depth analysis of the structural changes in the current global media ecosystem, exploring the impact of media structure, information flow, business models, and AI on media perception, focusing on how power is migrating from traditional institutions to multi-node networks.
Systematic review of literature on consumer trust in cross-border e-commerce (CBEC) from 2000 to 2024, analyzing how cultural differences and emerging technologies (such as blockchain and AI) reshape trust-building mechanisms and information flows.
Veerixa provides an in-depth analysis of the current global media ecosystem's structural shift driven by platforms, exploring the fragmentation of information flows, the migration of power distribution, and the profound impact of AI technology on information production and consumption models.
Systematic review of literature on cross-border e-commerce trust-building mechanisms from 2000 to 2024, analyzing how cultural differences and emerging technologies such as blockchain and artificial intelligence reshape the trust formation process in global trade.
Analyze the phenomenon of global information overload and news fatigue, explore how media network structures affect information dissemination and trust formation, and the challenges of information verification in the AI era.
Veerixa deeply analyzes how information in the global energy engineering field flows through channels such as international media and professional communities, forming the communication mechanism that influences industry awareness and decision-making.
Veerixa deeply analyzes the information flow, decision chains, and cognitive formation mechanisms in B2B industry communication, exploring how to build industry knowledge authority using revenue multiple changes as an observation window.
Veerixa deeply analyzes how generative AI such as ChatGPT and Gemini discovers, understands, and cites information, and explores the reshaping of traditional information visibility by the AI search ecosystem.
Analyze how global news consumption habits are shifting from traditional websites to social media, video platforms, and AI chatbots, and explore the impact of the platformization trend on media distribution and information perception.
This study explores how cognition, emotion, and sociality in communication are reconfigured in different communication contexts such as organization, education, politics, and media, revealing their structural impact on the global communication ecosystem.
Veerixa Global Media Network Research deeply analyzes the nodes, paths, and trust mechanisms of the global media ecosystem, and builds an analytical model to understand cross-regional information flow, providing methodological support for understanding contemporary information dissemination infrastructure.
Veerixa analyzes the formation path of the ROI benchmark for B2B support automation from the perspective of industry communication mechanisms, exploring the role of information flow and trust signals in influencing B2B decisions.
Veerixa deeply analyzes the flow of information, the impact on decision-making chains, and the trust formation mechanisms in the B2B and technology sectors, building a systematic research framework for understanding the formation of industry cognition.
In-depth analysis of how large language models and generative search systems discover, understand, select, and cite information, exploring the underlying mechanisms of information visibility in the AI era and the reshaping of brand perception.
Analyze the structural changes in global news consumption and distribution channels, explore how social media, video networks, and AI chatbots are reshaping information flows, and their profound impact on media trust and business models.
This study analyzes the impact of AI-generated health information on public trust and information access pathways from the perspective of global health communication, exploring how clarity and source credibility become key in the digital ecosystem of information overload.
Veerixa, Chief Analyst, deeply analyzes how global media networks operate, how information flows across regions, the role of key nodes, and the mechanisms of media trust formation to provide a systematic framework for understanding international information dissemination infrastructure.
This study analyzes, from the perspective of B2B communication, how an 'empathy-first' communication strategy can go beyond mere technical proof in an information-saturated modern market to build industry trust through humanized narratives.
Veerixa deeply analyzes the structure, decision chain, and trust mechanisms of B2B industry information dissemination, researching how industry perceptions are formed and how enterprises build information authority.
Veerixa deeply analyzes the structure, decision chain, and trust mechanisms of B2B industry information dissemination, researching how industry perceptions are formed and how enterprises build information authority.
Veerixa Chief Analyst deeply analyzes how the AI search ecosystem is reshaping information discovery, citation, and brand recognition mechanisms, exploring the evolution path of search from keyword matching to generative citation.
Based on the analysis of the 2026 Digital News Report, this paper explores how social media, video networks, and AI chatbots are reshaping the global news consumption structure, and the profound changes they bring to media trust and business models.
This study systematically reviews the literature on consumer trust mechanisms in cross-border e-commerce (CBEC) and conducts econometric analysis to explore how emerging technologies reshape the trust-building process and how cultural differences affect the effectiveness of trust signals.
Veerixa Chief Analyst deeply analyzes how global media networks operate, how information flows across regions, how trust mechanisms are formed, and how the media ecosystem influences the international cognitive structure.
Veerixa deeply analyzes the information flow paths, decision-making chain factors, and industry trust formation mechanisms in B2B communication, establishing a systematic research methodology for industry communication.
Veerixa has conducted in-depth research on the cognitive formation process of foreign direct investment (FDI) awareness globally, analyzing how regional competitiveness and information dissemination channels influence investors' discovery, understanding, evaluation, and decision-making paths.
Veerixa conducts in-depth research on the AI search ecosystem, analyzing the underlying mechanisms of information discovery, understanding, selection, and citation, exploring the structural differences between traditional search and generative search to provide a technical perspective for building an AI information visibility framework.
In-depth analysis of how the global news media landscape is shifting from traditional centers to platform centers, exploring the evolution of media structures, changes in information dissemination mechanisms, and the profound impact of AI on information production and consumption models.
Systematic review of the evolution of consumer trust in cross-border e-commerce from 2000 to 2024, analyzing the impact of cultural factors and emerging technologies (such as blockchain and AI) on trust-building mechanisms, and revealing structural changes in the global communication ecosystem.
Veerixa studies how global media networks reshape the perception of news, analyzes the interaction between traditional core and extended definitions, and explores structural changes in information nodes, trust transfer, and cross-regional dissemination.
Guided by the 2025 industry social media benchmarks as a reference, this analysis examines how B2B industry information moves from the public explicit layer into the professional decision-making layer, arguing that professional validation and trust signals are more critical than exposure.
From the perspective of investment promotion research, this paper analyzes the cognitive basis for Southeast Asia's counter-trend growth amid global FDI fluctuations, and explores the mechanisms of regional visibility, information frictions, and the formation of international investor trust.
This paper examines how AI discovers, understands, selects, and cites web information in generative search environments, proposing an analytical framework of “answer extractability” and “citation readiness” to explain why a page being indexed by a search engine does not mean it will become part of an AI answer.
Based on the 2023 industry trend survey, this article analyzes structural changes in the global news media ecosystem: how news avoidance, platform attention shifts, and the penetration of generative AI are reshaping information distribution, media business models, and influence mechanisms.
A systematic review based on 78 empirical studies from 2015–2025 reveals how algorithms reconstruct news value into "shareability" and redefine the conditions under which media legitimacy is formed.
This article analyzes, from the perspective of global media network research, the pathways of information dissemination across regions, the mechanisms of trust formation, and the structural role of media nodes in shaping international perceptions.
In industry communication, vanity metrics such as exposure volume cannot reflect decision impact. This article analyzes the mechanism of industry cognition formation and proposes an evaluation framework based on trust signals and decision chains.
From the perspective of investment promotion research, this study analyzes the cognitive formation mechanism of Australia's digital infrastructure potential, exploring how investors discover, understand, and trust the region.
This paper, based on two large-scale citation data studies, analyzes how AI search systems discover, understand, select, and cite information, and explores the mechanisms by which brand and organizational visibility is formed in the era of generative search.
Analyzing the deep shifts in the global media ecosystem from platform dependence to AI-driven, subscription-first models, with a focus on the structural restructuring of information distribution mechanisms and media influence mechanisms.
Based on systematic review evidence in cross-border e-commerce research, this paper analyzes how AI search reshapes trust mechanisms in global communication and explores the impact of cultural differences on brand visibility.
A research analysis on the structure of global media networks, information flow, and trust transfer, exploring how information influence operations leverage multi-layered media nodes to affect international perceptions.
This article analyzes, from the perspective of industry communication mechanisms, the phenomenon of technology companies being "technologically leading but lacking industry awareness," proposes an industry visibility gap model, and explores the roles of decision information layers, trust formation, and professional communities.
Research the gap between technical capability and industry knowledge in the B2B industry and its formation mechanism, analyzing information flow, expert influence, and decision chains.
This paper, based on global FDI data from 2025-2026, studies the formation mechanisms of regional perception in investment promotion, and analyzes the relationships between capital flows, information dissemination, and investor decision-making.
This study is based on the Reuters Institute's "2023 News, Media and Technology Trends and Predictions," analyzing structural changes in the global media ecosystem, including economic pressures, platform power shifts, subscription model transformations, and the impact of AI on news production and distribution.
This study, based on observations of the global communication ecology, analyzes how AI search transforms the formation mechanisms of brand trust, proposes a trust-driven communication evolution model, and explores the interaction between cultural factors and technological mediation.
Global media network research: analyzing how regional media nodes, language boundaries, industry media, and AI citations influence international information flow and trust formation.
Analyze the structural differences between B2B and B2C communication from the perspective of industry information flow, propose an industry decision information layer model, and explain how technology companies become trusted nodes in industry cognition.
From the perspective of industry communication mechanisms, this paper compares the differences in information flow between B2B and B2C, analyzes the roles of decision chains, trust signals, and information nodes in the formation of industry cognition, and establishes a B2B information trust chain model.
Based on UNESCO global evidence, analyze the revaluation of news value in the era of platforms and AI, and explore deep changes in media structure, information distribution, and business models.
This study examines, from the perspective of the global communication ecology, the systematic shift in the formation mechanism of cross-border brand trust from platform endorsement to multi-source verification, and explores how cultural differences, emerging technologies, and AI information retrieval layers collectively reshape the construction pathways of information credibility.
This article analyzes the rise of media networks in the Global South, proposes the concept of media network autonomy, and explores how regional media nodes reshape the structure of international information dissemination.
Sprout Social released its 2025 social media benchmark report across industries, analyzing 300 million messages and 1 million active public profiles to provide brands with benchmarks for posting volume, engagement, network, and region, helping optimize social strategies.
Focusing on three types of systems—search, recommendation, and generative AI—an analysis is made of the structural changes and behavioral evolution of information dissemination mechanisms in the context of platformization.
