Custom Agent — An AI That Actually Does the Work
Task-oriented autonomous agents that reshape enterprise workflows
Autonomous agents built around business tasks, reshaping how work gets done.
- Timeline
- 4–12 weeks
- Deliverables
- 6 items
- Use cases
- 5 types
Why a Rebuild Is Necessary
Repetitive work consumes the team
Content production, data wrangling and sentiment monitoring eat an enormous share of working hours.
Systems stay siloed
Business data sits across disconnected platforms with no orchestration layer to act on it.
Decisions lack live intelligence
Markets, sentiment and competitors move faster than manual tracking can follow.
What You Get
Workflow Orchestration
Multi-step processes decomposed into agent task flows that run themselves.
Tool and API Integration
Calls internal and external systems, databases and third-party services — it genuinely acts.
RAG and Reasoning
Combines private knowledge with enterprise data to make grounded autonomous decisions.
Observable Operations
Task logs, cost controls and anomaly alerts are fully transparent.
Agent Technical Foundation
Not chat — execution. We build agents that call tools and finish tasks, wired into our proprietary GeoPilot capability.
Multi-agent Collaboration
Planner, executor and verifier roles cooperate to decompose complex tasks.
Tool-calling Framework
Browser, API, code execution and database access under one orchestration layer.
Enterprise Knowledge Access
Connected to private documents and GeoPilot monitoring data.
Security Sandbox
Risky operations require human confirmation, keeping execution controlled.
Cost and Quality Governance
Token optimization, output QA and rollback.
Continuous Learning
Strategy iterates on feedback.
What Lands in Your Hands
- Process diagnosis and agent design
- Workflow orchestration development
- Tool and API integration
- Private knowledge integration
- GeoPilot interoperability
- Operations and iteration
Where It Fits
Typical timeline: 4–12 weeks, including post-launch GEO operations.
Let’s Talk About Your Case
Tell us where you are and where you want to go. We start with a straight diagnostic — including whether this module is the right thing for you right now.
Frequently Asked Questions
How does GEO differ from traditional SEO?
SEO optimizes ranking within a list of links; GEO optimizes citation rate within a generated answer. SEO competes for position; GEO competes for presence. When users read one synthesized conclusion instead of scanning ten blue links, an uncited brand effectively does not exist.
Which AI engines does Nine Health's GEO service cover?
Ten leading generative engines: ChatGPT, DeepSeek, Doubao, Kimi, Ernie Bot, Qwen, Tencent Yuanbao, Zhipu, Perplexity and Claude, each monitored separately for brand keyword answers and recommendation placement.
How long before GEO results appear?
Timelines depend on each engine's knowledge update mechanism. Engines with live retrieval typically reflect newly indexed content within days; engines relying on training corpora take longer. Nine Health uses AIO monitoring to track answer changes continuously.
Are there compliance risks for GEO in pharmaceuticals?
Yes, and they must be handled upfront. Pharmaceutical content in China is governed by the Advertising Law and internet advertising regulations, which prohibit efficacy guarantees and absolute claims. Nine Health embeds a compliance review stage staffed by team members with pharmaceutical backgrounds.
How is GEO effectiveness measured?
Through three engine-level metrics — citation rate, recommendation position and answer accuracy — tracked continuously per brand keyword and reported as change over time, rather than raw traffic.