Turn real marketing challenges
into practical AI projects.
I’m Shawn, an AI marketing consultant with frontline factory business experience. I focus on customer outreach, content marketing and practical workflows.

I’m Shawn, an AI marketing consultant with frontline factory business experience. I focus on customer outreach, content marketing and practical workflows.
Practical AI marketing, starting with a specific task.
Connect product facts and audience questions with content planning, AI drafts, human review and feedback.
Explore this areaConnect customer research, product information and follow-up records. Use AI for repeatable tasks while keeping people in control of decisions.
Explore this areaMap audience questions, review product information, close content gaps and improve structure, then observe and update over time.
Explore this areaHere we collect the existing services, scenarios, implementation methods and articles on the website for easy browsing based on your needs.
Marketing diagnosis, workflow and intelligent agent construction, knowledge assets and cooperation scope.
View services ↗Marketing Diagnosis ↗Workflow and Agent ↗Knowledge Assets ↗Customer outreach, social media marketing and GEO optimization, view three types of application scenarios.
Use cases ↗GEO Optimization ↗From mapping out the status quo to designing, building and verifying delivery, learn how to move forward.
See how it works ↗Featured articles to understand marketing, AI and business practices.
Insight Article ↗I’m Shawn, an independent AI marketing consultant with frontline factory business experience. I focus on social media marketing, customer outreach and GEO / AI search, building practical workflows and agents around real tasks.
Four common challenges,
and a starting point for finding opportunities to improve.
Looking for information, writing drafts, and changing formats, every time we produce content, we are reinvesting manpower.
Similar content has been rewritten, moved and registered repeatedly, making it difficult for operations staff to spare time to make judgments.
The results are left in different platforms and tables, and there is no traceable basis for improvement in the next round of work.
Brand expression, review standards and channel methods have not yet become reusable assets for enterprises.
Diagnosis, construction and knowledge management,
Together they form a closed loop.
Sort out tasks, materials, roles, time-consuming and risks, and determine priority scenarios, implementation conditions and acceptance directions.
Delivery/Process Issue Map · Scenario Prioritization · Implementation BlueprintBuild a process around the determined business scenario, including configuration generation, rule checking, human review, exception handling and operation records.
Delivery/runnable workflow · Agent configuration · Test records · Operational documentationOrganize product facts, brand rules, channel requirements and review feedback to make knowledge traceable, maintainable and accessible through the process.
Delivery/knowledge structure · Version and permission rules · Call specificationsView the complete service scope and cooperation boundaries →
Advance with real tasks and deliver with clear acceptance.
Find high-cost, repetitive and churn-prone work areas.
Agree on input and output, business rules, human oversight and metrics.
Check process, quality and exception handling with business samples.
Check the effects and organize rules, operation instructions and reusable assets.
Record the business baseline first, and then agree on goals.
Use project facts to measure efficiency, quality and asset accumulation.
Have manual steps, operation time, and content turnover been improved?
Does the output comply with brand specifications, and are audits and rework traceable?
Can product knowledge, business rules and feedback be recalled again?
Expand and see what content you will get after cooperation.
Record data sources, role actions, time-consuming links, quality requirements and transformable locations; clarify the sequence according to business value and implementation conditions.
Take "Product Information → Content Draft → Rule Check → Manual Review → Channel Adaptation" as an example to demonstrate the input, processing, output and exception handling methods.
Check business samples according to agreed indicators, and organize knowledge materials, rules, configurations, operation records and operation instructions. The above is an indication of the delivery structure, not the performance of existing customers.
I’m Shawn, an independent consultant with frontline factory business experience. I work from real business challenges to define needs, design solutions and put AI marketing into practice.
Projects start with a real task. Scope, integrations and deliverables are agreed for each project; third-party rankings and citations cannot be guaranteed.
Understand roles, methods and service boundaries ↗My name is Shawn and I come from the front line of factory operations. Contact me via WeChat or WhatsApp to chat about business communications, account management, and repetitive tasks in marketing.
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