Brand / Marketing lead
01Question
How do consumers and AI agents understand us?
Matrix answer
Matrix unifies three-channel visibility, reputation index, and competitor position so brand health is not reduced to volume alone.
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Zhishu Brand View
Matrix Every brand needs its own data foundationThree in One Why media, social, and agents must be unifiedIndustry Solutions
Crisis Handling Risk alerts, response alignment, and reviewAI Visibility Track whether AI recommends your brandResources
Zhishu Matrix · 全渠道内容可见性矩阵Selected for the 2026 National Enterprise "AI+" Innovation Case Top 100
Zhishu Matrix is the
data foundation for brand cognition and trust, and the agent team for advanced brands
It brings how traditional media, social platforms, and mainstream AI describe your brand into one workspace. Your visibility, reputation, and competitive position across all three channels become clear, understandable, and manageable.
Chosen by groups & brands across industries
Home appliances
...
Automotive
...
Technology
...
Why it matters now
Customers form trust from three different channels信任
Before a purchase, people now judge a brand through traditional media, social communities, and AI agent answers.
Most monitoring tools still stop at keyword mentions, which means they rarely show whether AI agents are recommending your competitors instead.
Proprietary framework
MATRIX: six capabilities with an Agent-driven trust loop
The six MATRIX capabilities move from monitoring, audience, topics, and reputation into insight and execution. Agents run across every stage, supporting active probing, semantic understanding, attribution, strategy recommendations, task orchestration, and retesting loops.
Agents across all six capabilities
Agents do not only suggest the final action; they work through the whole loop
From question sampling, content understanding, audience mapping, topic tracking, and reputation scoring to recommendations, task routing, and retesting, agents help Matrix operate as a continuous brand intelligence system rather than a passive dashboard.
Active probing
Sample AI answers, media, and social signals to capture how the brand is understood.
Insight attribution
Interpret sources, audiences, topics, sentiment, and competitors to explain why a signal changed.
Action orchestration
Connect recommendations, content tasks, response actions, and retesting into a traceable workflow.
M
Monitor · Monitoring
Capture traditional media, social platforms, and AI agent responses in one place.
A
Audience · Influence
Identify who shapes perception, who amplifies it, and how influence travels.
T
Topics · Issue Tracking
Trace how topics emerge, spread, mutate, and connect back to sources.
R
Reputation · Brand Health
Convert scattered signals into a unified reputation index for benchmarking and reporting.
I
Insights · Diagnosis
Explain what changed, why it matters, and let the Agent suggest the next move.
X
eXecution · Action
Turn Agent recommendations into owners, tasks, tracking, and reviewable outcomes.
Why Worthbuy Technology
We are already part of the AI consumer decision layer
Worthbuy Technology has spent more than a decade studying how content shapes purchase decisions. Zhishu Matrix turns that accumulated data, methodology, and operational experience into a product for brand teams.
消费内容理解
十几年处理口碑、议题、测评与种草内容，沉淀 200 亿+ 消费内容库，理解内容怎样影响消费判断。
商品知识沉淀
10 亿+ 商品库与长期内容资产共同构成可被模型理解、可被消费场景调用的知识底座。
AI 决策数据源
国内大模型每月向我们发起 1.8 亿次消费相关 query，当 AI 回答「买什么、值不值得」，背后很可能就用到了我们的数据。
自研模型与引擎
把内容解析、实体识别、议题归因和声誉评分沉到同一套技术底座里。
行业案例验证
从消费数据资产到 AI+ 创新案例认可，能力经过真实品牌场景验证。
产品化交付能力
4 亿+ 被调用的商品卡片说明我们不只是旁观者，而是能把底层数据、方法论和执行闭环产品化交付的一方。
Organizational alignment
Different teams can decide from the same facts
Brand trust is not owned by one department. Matrix answers each team’s question with the same data foundation and operating loop.
PR / Reputation lead
02Question
Is this risk spreading, and what should we handle first?
Matrix answer
Alerts, source tracing, topic attribution, and response suggestions sit together so teams can move into action faster.
Growth / E-commerce lead
03Question
Why do AI agents recommend a competitor instead?
Matrix answer
Recommendation rate, citation sources, content gaps, and retesting tasks connect the AI answer back to growth opportunities.
Executive team
04Question
Is brand trust improving, and is the investment working?
Matrix answer
Unified metrics, trend attribution, competitor benchmarks, and closed-loop reviews become evidence for business reporting.
How we differ
Not just another AI monitoring layer, but an Agent-driven brand trust system
Traditional monitoring stops at keywords and volume. AI-only tools stop at sampled answers. Zhishu Matrix connects media, social platforms, AI entry points, and consumer decision data, while agents support probing, understanding, attribution, recommendations, execution, and retesting.
Three-channel fact base
Media, social, and AI entry points are unified with Worthbuy’s long-term consumer content and product knowledge assets.
Agents across six capabilities
Agents do not only generate reports. They support active probing, insight attribution, and action orchestration across M/A/T/R/I/X.
From metrics to action
Alerts, recommendations, content tasks, response work, and retesting results stay in one operating workflow.
Question
Traditional monitoring
AI-only tools
Zhishu Matrix
Where do the data and judgment come from?
Traditional monitoring
External keyword collection
AI-only tools
External AI answer screenshots
Zhishu Matrix
✓Three-channel data + consumer decision assets
External keyword collection
External AI answer screenshots
What can agents actually do?
Traditional monitoring
Mostly absent
AI-only tools
Summaries / reports
Zhishu Matrix
✓Monitoring, attribution, recommendations, tasks, retesting
Mostly absent
Summaries / reports
Can the system explain why something changed?
Traditional monitoring
Basic sentiment / volume
AI-only tools
Single-answer comparison
Zhishu Matrix
✓Source, audience, topic, reputation, competitor attribution
Basic sentiment / volume
Single-answer comparison
Can discovery turn into action?
Traditional monitoring
Alerts mainly
AI-only tools
Recommendations stay as text
Zhishu Matrix
✓Recommendations, briefs, response tasks, retesting loop
Alerts mainly
Recommendations stay as text
Can it support executive reporting?
Traditional monitoring
Volume reports
AI-only tools
AI visibility screenshots
Zhishu Matrix
✓Reputation index, competitor benchmark, closed-loop evidence
Volume reports
AI visibility screenshots
Plans
Start with one urgent question, then expand by brand and market
Teams can start with a focused blind spot, then expand into full-channel, multi-market brand trust governance.
Close the AI blind spot
Starter
For one brand that needs an initial view of AI visibility and reputation signals.
From ¥100K / year
- Single brand · AI channel focus
- AI visibility and reputation fundamentals
- Fast rollout with a focused scope
Most popular
Operate across channels
Professional
For one brand that needs media, social, and AI visibility managed together.
From ¥300K / year
- Single brand · full-channel coverage
- Topics, audience, reputation, and benchmarking
- Agent recommendations and retesting tasks
- Alerts and response workflow
- Customer success support
Scale across markets
Enterprise
For one brand operating across multiple markets with advanced governance needs.
From ¥1M / year
- Single brand × multi-market
- Full modules, Agent, and API access
- Custom data and dashboards
- Dedicated customer success
Group governance
Flagship
For groups that need portfolio-level governance across brands and markets.
From ¥5M / year
- Brand portfolio × global markets
- Dedicated model + deployment engineer
- Deep customization
- Unlimited seats
Plans are tailored by brand count, market scope, channel coverage, and delivery requirements. Final scope and service standards are confirmed in the proposal or contract.
FAQ
Questions teams usually ask值数 Matrix
QWhat can the agents inside Zhishu Matrix actually do?
A
Agents do not only generate a final report. They operate across the six MATRIX capabilities: actively probing brand answers across AI, media, and social channels; interpreting sources, audiences, topics, sentiment, and competitors; supporting attribution; and turning insights into recommendations, content tasks, response actions, and retesting plans. The result is not just a dashboard, but a continuously operating brand trust workflow.
QWhere does the data come from, and can we trust the methodology?
A
Matrix unifies licensed media, mainstream social platforms, and major AI agent responses. Each item is interpreted for sentiment, entities, topics, and evidence, then aggregated into visibility and reputation metrics. Methodology, sample scope, and refresh cadence are transparent and auditable. Because AI answers are stochastic, we evaluate repeated samples and trend signals rather than one-off rankings. We measure visibility and reputation signals; we do not replace legal judgment on content authenticity.
QIs this only monitoring, or can it improve our visibility and reputation?
A
Both. First, we surface where you stand across media, social, and AI, and where the gaps are. Then we provide actionable recommendations on what content to build and where to focus, while linking alerting, assignment, response, and review into a closed loop. We do not manipulate any platform; we help you build real content and reputation so every channel has the right material to describe you accurately and completely.
QWhich channels and platforms are covered? Can overseas platforms be included?
A
Media coverage includes licensed news outlets and syndication. Social coverage includes Weibo, Xiaohongshu, Bilibili, Zhihu, and other major communities. AI coverage includes major domestic and overseas agent platforms such as ChatGPT, Kimi, and Yuanbao. The exact list is configured by industry and target market and can be confirmed during a demo.
QHow much effort is required to get started, and when will we see the first view?
A
The main step on your side is the first one: tell us your brand, key competitors, and top questions, which takes about 30 minutes. Data onboarding, historical backfill, and calibration are handled by us. A first working view is usually available within days. After that, daily review takes minutes, and our team is available for deeper reads.
QCan we start with one brand or a small scope? How is pricing structured?
A
Yes. Many teams start with a single brand and a few critical questions to close visibility and reputation blind spots, then expand to full-channel, multi-market coverage. Pricing is tiered by coverage scope and brand count and is finalized in the proposal based on your actual requirements.
Move from being mentioned to being trusted信任可见
In the Agent era, winning is not just about how often your brand appears. It is about whether media, social communities, and AI agents describe you accurately, credibly, and consistently. In a 30-minute demo, we can walk through your brand and recommend the right starting scope.
No preparation required · live brand walkthrough · scope and pricing recommendation after the demo