AGENT
Product Innovation

Product InnovationNEW

Spot opportunities, validate concepts, and accelerate new-product decisions

AI Trend Insight

Identify industry and consumer trends, and find growth directions

AI Concept Testing

Simulate target-audience feedback to validate product concepts

Sales / Service

AI Persona

Identify customer traits and generate an interactive AI persona

AI Coach

Simulate sales and service conversations and auto-score them

AI Sales & Service Assistant

Assist with Q&A, recommendations, and customer conversations

AI Sales & Service QA

Flag issues by rule and recommend improvements

GTM

AI Channel Strategy

Generate channel plans and operating-strategy recommendations

AI Store Inspection

Automatically inspect stores and summarize issues

Customer Engagement

Agentic CRM

Rebuild CRM and the sales workflow

Agentic MA

Automatically orchestrate customer communications and marketing ops

AI Journey

Auto-generate and run intelligent touchpoint journeys

AIGC

Generate content by user, channel, and goal

Social Marketing

Social AI Strategy

Generate marketing strategy from market and social data

DeepKOXNEW

Build a KOC insight, content, and operations loop

AI KOL Matching

Match and select creators against the campaign goal

AI Media Buyer

Run social media buying and keep optimizing

Full-Funnel Attribution

Measure conversion contribution across channels and touchpoints

Consumer Insight

DeepVOCNEW

Unify omnichannel feedback into demand and insight

AI ConsumerNEW

Build brand-specific simulated consumers

Advertising

DeepGEO

Lift brand visibility in AI search and answers

AI Campaign Monitor

Monitor account performance, catch anomalies, and optimize

AI Creative

Generate, break down, and optimize ad creatives

AI Ad Pre-Test

Evaluate creative and media impact before launch

Intelligence Foundation

AI Knowledge HubNEW

Structure, retrieve, and turn enterprise knowledge into action

AI Content HubNEW

Govern multimodal content and accumulate reusable assets

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SOLUTIONS
Solutions

With decades of industry experience and operational expertise, we are equipped to offer customized solutions for various industries and business scenarios to facilitate digitalization for enterprises.
NEWS
News Center

Here you can find our latest information, including news and research reports, details of events or conferences we have participated in or hosted, and a list of our awards over the years.
ABOUT US
DeepZero|iPinYou

DeepZero is an AI algorithm-driven MarTech company based in China. We welcome inquiries regarding business needs, ecological cooperation, and talent recruitment.
INVESTORS

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DeepAgent 4.0 Pro · AI KOL Matching

Let AI select the KOLs and KOCs who actually fit

AI KOL Matching is a KOL/KOC intelligent-evaluation product from DeepZero, built on DeepAgent 4.0 Pro. For brand and agency marketing teams, two agents, AI Tags and AI Insight, connect first-party brand data, e-commerce platform modeled data, and social-platform readership data, evaluate creators on multiple dimensions, and output a ranked composite recommendation index, so creator selection is evidence-based.

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Data-driven: AI evaluates KOLs and KOCs with a multi-dimensional model

Fusing first-party brand data, e-commerce platform modeled data, and social-platform readership data, AI completes the full creator-selection chain from audience matching through ranked recommendations.

AI KOL Matching overall approach

First-party brand data: brand registration / lead / purchase audiences; brand-defined audiences (store visit / add-to-cart / purchase)
Modeled data from major e-commerce platforms: high-potential category audiences, high-potential own-brand audiences, high-potential competitor audiences
Social-platform readership: article readers in the past 30 days
Brand high-potential audience × readership of preselected KOL notes: compute TA% user similarity to find creator audiences that truly overlap the brand's high-potential audience.
Ranked KOL composite recommendation index: the KOL-evaluation AI model computes across user similarity, audience scale, price, and more, then outputs a composite recommendation index for ranking and filtering.