Zhihu (ZH) Q4 2025: Marketing Services Jump 24% Sequentially as AI Monetization Accelerates

March 25, 2026 | By EarningsIQ Research

Zhihu’s fourth quarter marked a pivotal inflection point, with marketing services revenue rebounding 24% sequentially as the company’s AI integration and expert-driven content ecosystem began to yield tangible commercial results. Management’s tone emphasized a shift from pure profitability to disciplined reinvestment in AI, prioritizing scalable, cash-generative opportunities in content IP and data services. With user engagement and creator activity surging, Zhihu’s dual-track strategy aims to solidify its platform as a differentiated AI-era knowledge hub while pursuing new monetization verticals.

Summary

• AI Integration Drives Commercial Traction: Marketing services rebounded as AI-powered solutions attracted higher-value clients.
• Content Ecosystem Powers User Engagement: Daily time spent and high-quality content creation hit record highs, reinforcing platform stickiness.
• Strategic Focus Shifts to Scalable AI Revenue: Management prioritizes disciplined investment in IP monetization and expert data services over short-term profit maximization.

Performance Analysis

Zhihu delivered a clear sequential recovery in Q4, with marketing services revenue up 24% over Q3, signaling a bottoming of the prior adjustment cycle and renewed commercial momentum. This rebound was fueled by a disciplined client mix upgrade and the rollout of new ad products—particularly IdeaPlus, a short-form native advertising format that capitalized on a 106% YoY surge in daily idea interactions. Paid membership, while down YoY as expected, showed stabilization in ARPPU (average revenue per paying user) and renewal rates, signaling early returns from retention initiatives and a deliberate focus on unit economics over scale.

Gross margin compressed to 53.6%, reflecting ongoing investments in content quality and platform upgrades, while total operating expenses rose due to a one-time goodwill impairment. Excluding this charge, underlying opex trended down as cost discipline continued. Zhihu’s balance sheet remains robust with RMB 4.5 billion in cash and equivalents, providing ample capacity for continued share repurchases and targeted AI investment. Management’s willingness to reinvest in scalable AI-driven verticals, even at the expense of near-term profit growth, marks a strategic pivot from the prior year’s profitability milestone.

• Marketing Services Inflection: 24% sequential revenue growth, driven by high-value client penetration and new ad formats.
• Paid Membership Stabilization: ARPPU and renewal rates improved sequentially, reflecting healthier member economics.
• Content-Led Engagement: Daily user time spent exceeded 41 minutes, with high-quality content creation up over 20% YoY in Q4.

Overall, the quarter’s results validate Zhihu’s evolving business model, balancing ecosystem health, operational leverage, and the pursuit of scalable AI monetization streams.

Executive Commentary

Strategic Positioning

1. AI-Driven Community and Content Flywheel

AI integration is now core to Zhihu’s value proposition. The platform’s unique blend of high-quality content, expert network, and AI-powered tools is creating a positive feedback loop—driving deeper user engagement, higher content quality, and improved creator productivity. Daily time spent and user interactions reached new highs, while AI features such as intelligent editing and search upgrades are lowering creation barriers and enhancing consumption.

2. Monetization Expansion via IP and Data Services

Zhihu’s dual-track monetization strategy targets scalable, AI-powered revenue streams. The Yanyan Stories IP franchise, with successful short drama adaptations, demonstrates the platform’s ability to extend content into new formats and licensing. Meanwhile, the company is positioning itself as an upstream supplier of high-quality, expert-labeled data for LLM (large language model) developers—a business model with high cash flow potential and limited competition in China.

3. Disciplined Capital Allocation and Cost Structure

Management is deliberately balancing reinvestment with financial discipline. Share repurchases continued, and underlying operating expenses trended lower, excluding one-off charges. The stated approach is to avoid aggressive cash burn, instead focusing on areas where ROI is visible and aligned with core strengths. This signals a shift from pure profitability to quality growth, with a bias toward sustainable, capital-efficient expansion.

4. Platform Differentiation in the AI Era

Zhihu’s position as a trusted forum for AI discussion and professional knowledge sharing is strengthening. The platform is attracting leading AI researchers, engineers, and company founders, cementing its reputation as a credible space for the dissemination and validation of cutting-edge innovations. This reinforces the network effects that underpin its expert data and content IP strategies.

Key Considerations

Zhihu’s Q4 marks the transition from foundational restructuring to active pursuit of AI-enabled growth, with the following strategic considerations in focus:

Key Considerations:

• AI Monetization Leverage: Zhihu’s unique content and expert data assets provide a defensible entry into high-margin AI data services and IP licensing.
• Community Health as Growth Engine: Sustained increases in user engagement and content quality underpin long-term platform resilience.
• Cost and Capital Discipline: Management’s refusal to return to cash burn, combined with ongoing share buybacks, signals a commitment to shareholder value.
• Scalability of New Verticals: Success in AI data and IP monetization depends on execution and competitive differentiation, especially as larger players eye similar opportunities.

Risks

Key risks include the pace and scale of AI monetization, as these verticals remain nascent and subject to evolving competition and regulatory scrutiny. Gross margin pressure from ongoing content investments, and the potential for user fatigue or churn if AI integration disrupts community authenticity, also warrant attention. Execution risk around new business lines and the ability to maintain cost discipline while pursuing growth are critical watchpoints for 2026.

Forward Outlook

For Q1 2026, Zhihu guided to:

• Continued revenue recovery, led by marketing services and new AI-driven monetization streams
• Stable to improving bottom-line discipline, with reinvestment prioritized in scalable AI opportunities

For full-year 2026, management did not provide explicit numeric guidance but emphasized:

• Disciplined investment in AI, focusing on visible ROI and cash flow-positive verticals
• Maintaining a healthy bottom line while scaling new revenue streams

Management highlighted the importance of balancing growth and profitability, stating that “we want to deliver growth in new AI-driven revenue streams at the same time to keep the overall bottom line on a healthy and responsive track.”

• AI content and data businesses are expected to be the primary growth engines
• Core community business will continue to be AI-enhanced and financially stable

Takeaways

Zhihu is evolving from a knowledge-sharing platform to an AI-enabled content and data business, with a focus on scalable, high-margin revenue streams and disciplined capital allocation.

• AI-Driven Commercialization: The sequential rebound in marketing services and new product traction point to early success in monetizing AI investments.
• Content Ecosystem Strength: Record engagement and creator activity reinforce Zhihu’s platform moat and its ability to attract and retain valuable users and partners.
• 2026 Watchpoints: Investors should monitor the ramp of AI data and IP businesses, the sustainability of margin improvement, and management’s adherence to capital discipline as competition intensifies.

Conclusion

Zhihu’s Q4 results and management commentary reveal a business at an inflection—leveraging its expert community and AI capabilities to unlock new monetization pathways, while maintaining a disciplined approach to growth and profitability. The next phase will test Zhihu’s ability to scale its differentiated AI-era business model amid rising competitive and execution risk.

Industry Read-Through

Zhihu’s pivot toward AI-powered content and data monetization reflects a broader shift among digital platforms seeking to capitalize on proprietary user data and expert networks. The traction in IP licensing and data services signals growing demand for high-quality, labeled data and unique content IPs as foundational assets in the AI economy. Peers in knowledge, media, and social sectors should note the operational leverage unlocked by AI integration— but also the challenges of balancing user authenticity, content quality, and scalable monetization. As the AI ecosystem matures, platforms with deep, trusted communities and differentiated data assets are likely to command premium strategic value.

ZH Communication Services Online Media AI Monetization Content IP Membership Expert Network Data Services