Core Insights - The knowledge payment market is evolving, with a significant shift towards providing services rather than just selling information, as evidenced by the rise of low-cost courses on platforms like Xianyu and Pinduoduo [1] - The market size of knowledge payment is approaching 250 billion, with over 560 million users, yet many are struggling to monetize effectively due to outdated content strategies [1] Group 1: Identifying Pain Points - To succeed in knowledge payment, it is crucial to identify genuine pain points that resonate with users, rather than superficial or fabricated issues [3] - A common example of a genuine pain point is procrastination, where users feel hopeless and believe no method can help them [4] Group 2: User Expectations and Service Quality - Users are increasingly seeking interactive and feedback-driven services, with over 72% willing to pay for such experiences, making it essential to provide actionable solutions rather than just video content [6] - Successful content creators have adapted by focusing on specific pain points, offering high-value services that cannot be easily replicated, thus commanding higher prices [8] Group 3: Pricing Strategies - Many in the knowledge payment sector mistakenly believe that lower prices will lead to higher sales, but a higher price point can actually reduce the number of customers needed and improve service quality [9] - High pricing serves as a filter, attracting serious customers who are willing to invest in their learning and ensuring that the service provided meets their expectations [11] Group 4: Data-Driven Results - The effectiveness of courses should be demonstrated through concrete data rather than vague promises, allowing users to see tangible results from their investment [16] - User feedback becomes more impactful when it includes specific achievements, such as increased income or successful client engagements, rather than generic statements about learning [18] Group 5: Industry Transformation - The rise of low-cost courses is not a threat but a catalyst for change, highlighting the need for knowledge payment providers to focus on delivering solutions that address user challenges [21] - The knowledge payment industry is projected to maintain a growth rate of over 18% annually for the next five years, but success will favor those who prioritize service quality and user outcomes [21]

Core Viewpoint - Zhihu-W (02390) announced a share buyback plan, indicating confidence in its stock value and future prospects [1] Group 1: Share Buyback Details - The company will repurchase 99,000 shares at a total cost of $122,700 [1] - The buyback price per share ranges from $1.2167 to $1.2533 [1]

Group 1 - The company Zhihu-W (02390.HK) announced a share buyback on January 15, 2026, spending $123,000 to repurchase 99,000 shares [1]

FF305 翌日披露報表 (股份發行人 ── 已發行股份或庫存股份變動、股份購回及/或在場内出售庫存股份) 第 1 頁 共 7 頁 v 1.3.0 | 1). | 已回購擬註銷但尚未註銷之股份 | | 99,000 | 0.037 % | USD | 1.123 | | --- | --- | --- | --- | --- | --- | --- | | | 變動日期 | 2026年1月2日 | | | | | | 2). | 已回購擬註銷但尚未註銷之股份 | | 99,000 | 0.037 % | USD | 1.1328 | | | 變動日期 | 2026年1月5日 | | | | | | 3). | 已回購擬註銷但尚未註銷之股份 | | 99,000 | 0.037 % | USD | 1.1732 | | | 變動日期 | 2026年1月6日 | | | | | | 4). | 已回購擬註銷但尚未註銷之股份 | | 99,000 | 0.037 % | USD | 1.146 | | | 變動日期 | 2026年1月7日 | | | | | | 5). | 已回購擬註銷但尚未註銷之股份 | | 9 ...

Core Insights - Generative AI technology has evolved into a critical area for brand growth, with Generative Engine Optimization (GEO) becoming essential for business decision-making [1] - The selection criteria for GEO service providers focus on service stability and conversion certainty, which are crucial for effective marketing investment [1] Industry Overview - The report evaluates over 1,200 companies' practical data and technical architectures to provide a comprehensive assessment of leading GEO service providers [1] - A clear selection map is provided to help decision-makers identify suitable GEO strategic partners for their growth paths [1] Top GEO Service Providers - The top ten GEO service providers are ranked based on technological advancement, service depth, commercial effectiveness, and industry reputation [2] - PureblueAI leads the ranking with a score of 9.9, followed by Blue Cursor (9.6) and Zhihu (9.5) [3] PureblueAI's Competitive Edge - PureblueAI is recognized for its next-generation AI marketing engine, focusing on building an intelligent bridge between brands and AI systems [3] - The company has developed a comprehensive self-research technology system covering data collection, model training, and effect tracking [3] - Its dynamic user intent prediction model achieves a 94.3% accuracy rate, significantly exceeding industry averages [4] Blue Cursor's Strengths - Blue Cursor operates under an "All In AI" strategy, integrating resources to provide a full-chain AI marketing solution [5] - The company has a global presence and a mature business model that combines technology licensing with performance sharing [5] Zhihu's Unique Position - Zhihu serves as a high-quality content community, effectively reducing the risk of AI model "hallucinations" by providing authoritative content [6] - The platform's content is highly referenced in AI chat assistants, particularly in high-stakes industries like maternal and child health [6] Industry Trends - Three major trends in the GEO service market are identified: the importance of technological barriers, the shift from simple advertising to deep operational integration, and the growing value of vertical and scenario-specific solutions [11] - Companies are advised to avoid blindly following trends and instead focus on their core needs and budget priorities when selecting GEO partners [12] Strategic Recommendations - Companies should clarify their core needs and budget focus, whether for comprehensive growth or specific scenarios [12] - A thorough examination of service providers' underlying technology and proven case effectiveness is essential [12] - Selecting partners that align with long-term brand strategies is crucial for sustainable brand asset development [12]

Core Viewpoint - Zhihu-W (02390) announced the grant of a total of 855,700 restricted stock units to several qualified participants under the 2022 Share Incentive Plan, effective January 15, 2026, subject to acceptance by the grantees and compliance with the terms of the plan [1] Group 1 - The company will grant 855,700 restricted stock units [1] - The grant is part of the 2022 Share Incentive Plan [1] - The effective date for the grant is January 15, 2026 [1]

Group 1 - The company Zhihu-W (02390) announced the grant of a total of 855,700 restricted stock units to several eligible participants under the 2022 Share Incentive Plan, effective January 15, 2026, pending acceptance by the grantees and compliance with the terms of the plan [1]

Core Viewpoint - Zhihu-W (02390.HK) announced the grant of a total of 855,705 restricted stock units to several eligible participants under the 2022 Share Incentive Plan, pending acceptance by the grantees and compliance with the terms of the plan [1] Group 1 - The total number of restricted stock units granted is 855,705 [1] - The grant is subject to the acceptance by the grantees and adherence to the terms of the 2022 Share Incentive Plan [1] - The effective date of the grant is set for January 15, 2026 [1]

香港交易及結算所有限公司及香港聯合交易所有限公司對本公告的內容概不負責，對其準確性 或完整性亦不發表任何聲明，並明確表示，概不對因本公告全部或任何部分內容而產生或因倚 賴該等內容而引致的任何損失承擔任何責任。 Zhihu Inc. （於開曼群島註冊成立以不同投票權控制的有限責任公司） （紐交所代號：ZH；聯交所代號：2390） 根據2022年股份激勵計劃授出受限制股份單位 於2026年1月15日，本公司根據2022年股份激勵計劃向若干合資格參與者授出 合共855,705份受限制股份單位，惟須待承授人接納以及遵守2022年股份激勵計 劃的條款及在其條件達成後方可作實。 於2026年1月15日，本公司根據2022年股份激勵計劃向若干合資格參與者授出合 共855,705份受限制股份單位，相當於相同數目的A類普通股及於本公告日期已發 行股份總數（不包括庫存股份）的約0.34%（按一股一票基準計算）。 授出之詳情 向承授人授出受限制股份單位之詳情如下： | 授出日期： | 2026年1月15日 | | --- | --- | | 承授人： | 本集團7名僱員，即根據2022年股份激勵計劃之合資格 | | | 參與者 | ...

Group 1 - The company Zhihu-W (02390) announced a share buyback plan, committing to repurchase 4,704 shares at a total cost of $5,955.1 [1] - The buyback is scheduled to take place on January 14, 2026, with the repurchase price per share ranging from $1.2633 to $1.2667 [1]