Zhishu MatrixZhishu Brand View
Matrix Every brand needs its own data foundationThree Environments Authoritative Media, Social Media, and AIIndustry Solutions
Crisis Handling Risk alerts, response alignment, and reviewAI Visibility Track whether AI recommends your brandResources
It brings how authoritative media, social media, and AI agents / large models describe your brand into one workspace. Your visibility, reputation, and competitive position across all three information environments become clear, understandable, and manageable.
Built on Worthbuy Technology’s long-term consumer data assets, Matrix observes authoritative media, social media, and AI agents / large models together. Each Matrix Agent starts with a concrete business question and presents the outcome, cause, and recommended action.
Brand cognition has moved through the PGC, UGC, and AIGC eras. Authoritative media, social media, and AI agents / large models now form one connected decision environment.
Brand management is no longer only about mention volume. It is about how all three layers shape real consumer choices.
For more than a decade, Worthbuy Technology has connected products, content, and purchase decisions, building durable assets across product knowledge, consumer content, and real demand. Domestic large models call Haina MCP about 1 billion times each month; clustering the real queries in those calls allows Matrix to monitor actual consumer intent.
1B+
product knowledge entries
120B+
consumer content records
21B/month
domestic large-model calls to Haina MCP
310+ years
consumer data accumulation
4
Data foundation
From long-term consumer data to real queries and intent
More than a decade of accumulation has built 1B+ product records and 20B+ consumer content records across products, opinions, and purchase contexts.
Domestic large models call Haina MCP about 1 billion times each month for verified product and consumer information.
Clustering queries from Haina MCP calls shows whether consumers care about price, features, situations, or particular brands.
Authoritative media, social media, and AI agents / large models are monitored around real questions rather than a manually guessed keyword list.
Real Haina MCP calls connect Worthbuy Technology’s long-term product and consumer content assets with the real queries people send to large models. Monitoring moves from guessed keywords to real consumer intent.
Matrix removes noise, identifies signals, analyzes audience, topics, and reputation, then turns the result into traceable insights, recommended actions, and retesting tasks.
MATRIX
MATRIX is the expert method underneath. Business teams interact with problem-specific agents and their outcomes.
Capture authoritative media, social media, and AI agent / large model responses in one place.
Identify who shapes perception, who amplifies it, and how influence travels.
Trace how topics emerge, spread, mutate, and connect back to sources.
Convert scattered signals into a unified reputation index for benchmarking and reporting.
Explain what changed, why it matters, and let the Agent suggest the next move.
Generate action recommendations, tasks, and retesting plans for brand teams to execute.
Agents continuously probe, attribute, and organize action into business outcomes.Users do not need to assemble a conclusion across six expert dashboards. Agents continuously probe, attribute, and orchestrate action, translating the method into usable business outcomes.
Agent workflow
What teams receive
See what changed, how far it reaches, and what needs attention first.
Trace conclusions to sources, audiences, topics, reputation, and competitors.
Turn findings into responses, content briefs, product feedback, and ownership.
Verify impact continuously and preserve each change in a traceable review.
Traditional monitoring depends on keywords, while AI-only tools depend on predefined questions. Matrix uses data across three information environments and real consumer intent to find signals, then Matrix Agents attribute, recommend, and retest.
Authoritative media, priority social media, and AI agents / large models are unified across text, image, and video.
Real queries, consumer data, and semantic clustering reduce blind spots created by predefined keywords and categories.
Agents continuously filter and attribute, while every topic, insight, and recommendation links back to source content and retesting.
Question
Traditional monitoring
AI-only tools
Zhishu Matrix
Where do the data and judgment come from?
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Zhishu Matrix
How does the system know what to monitor?
Traditional monitoring
AI-only tools
Zhishu Matrix
Can it separate meaningful signals from noise?
Traditional monitoring
AI-only tools
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Can discovery directly drive action?
Traditional monitoring
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Can every conclusion return to evidence?
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Customer proof
From home appliances and automotive to technology, Zhishu Matrix is already deployed by leading enterprises across industries—not as a concept, but as a production tool used every day.
Home appliances
Nearly 30 quality metrics
An industry-exclusive omnichannel content quality evaluation system with AI, spanning six dimensions and nearly 30 metrics to identify high-value, high-potential topics.
Automotive
End-to-end launch validation
Product Innovation and Marketing Planning Agents work together to validate strategic consistency from vehicle definition through market launch.
Technology
Insight-to-action loop
Connected to Zhishu Matrix to close the loop from insight to action and upgrade brand management for the AI era.
Teams can start with a focused blind spot, then expand into full-channel, multi-market brand trust governance.
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.
Matrix Agents do not only generate a final report. They operate across the six MATRIX capabilities: actively probing brand answers across authoritative media, social media, and AI agents / large models; 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.
Matrix unifies authoritative media, social media, and AI agent / large model 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.
Both. First, we surface where you stand across authoritative media, social media, and AI agents / large models, 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.
Authoritative media coverage includes licensed news outlets and syndication. Social media coverage includes Weibo, Xiaohongshu, Bilibili, Zhihu, and other major communities. AI agent / large model coverage includes major domestic and overseas products such as ChatGPT, Kimi, and Yuanbao. The exact list is configured by industry and target market and can be confirmed during a demo.
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.
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.
Have a specific business question?
A product specialist can walk through your brand and market scope.
Trying a professional system can be expensive, but understanding your brand problem should not be. Start with real signals, insights, and recommendations across authoritative media, social media, and AI agents / large models.
Start with one brand or one focused program · traceable outcomes · expand into continuous management