Still reads like a brochure
Pages describe capability, but not the real business problem, fit, or delivery boundary.
5 core service pages
Across GEO, websites, mini programs, AI agents, and AI support / knowledge systems
One consistent page structure
Each page includes deliverables, best fit, FAQ, and CTA
Built for SEO and GEO
Supports search visibility, AI citation readiness, and lead capture
Service structure
Move from problem definition to solution fit, proof, and conversion with a clearer official service-page system.
This is not only a list of offers. It is a structured service entry built around page clarity, official content consistency, FAQ coverage, and inquiry capture.
Why this matters
Many teams already have the service capability, but the website still does not explain it clearly enough for users, AI systems, or sales conversations.
Proof is fragmented
Cases, FAQs, methods, and knowledge assets are scattered instead of forming one official message.
Capture is weak
Even when people or AI systems find the site, it is not easy to decide whether the offer fits or what to do next.
Core service modules
GEO audit plan
Restructure official content, FAQs, scenario pages, and explainer content for search and AI-answer environments.
Typical deliverables
- Public-site audit
- Homepage / service-page / FAQ restructuring
- Structured-content and citation-readiness improvements
Best fit
- Export brands
- Manufacturers
- B2B inquiry-driven sites
Expected outcomes
- Stronger search capture
- Higher AI citation readiness
- A cleaner official content structure
Website upgrade plan
Rebuild websites and storefronts around clearer positioning, information architecture, and lead capture.
Typical deliverables
- Page-structure planning
- Homepage / service-page / FAQ frameworks
- CTA and inquiry-path design
Best fit
- Website rebuild projects
- Export brands
- DTC and B2B website teams
Expected outcomes
- Clearer business messaging
- Stronger page capture
- A more complete inquiry path
Mini-program commerce plan
Organize WeChat commerce, support, and retention paths into a stronger mini-program conversion entry.
Typical deliverables
- Mini-program architecture
- Product / service / campaign-page planning
- Inquiry and ordering flow design
Best fit
- Private-traffic teams
- Membership operations
- WeChat conversion-focused brands
Expected outcomes
- Stronger private-channel conversion
- Better support flow
- A more complete retention loop
AI agent services
Put AI agents into pre-sales, sales-assist, operating workflows, and internal coordination.
Typical deliverables
- Workflow review and pilot design
- Task boundaries and trigger rules
- Prompt and knowledge-source planning
Best fit
- Teams with standardized workflows
- Sales-support scenarios
- Internal operations coordination
Expected outcomes
- Higher execution efficiency
- Less repetitive work
- Clearer proof of AI business value
AI support rollout plan
Build stronger AI support systems around FAQs, knowledge bases, automated replies, and human handoff.
Typical deliverables
- High-frequency question audit
- Knowledge-base cleanup
- Support routing and escalation design
Best fit
- High-volume support teams
- Businesses with many repeated questions
- Organizations that need unified knowledge messaging
Expected outcomes
- Faster response
- Stronger answer consistency
- Less repetitive manual support load
How it starts
Clarify the highest-value service pages first, then use FAQ, proof content, and knowledge assets to complete the trust layer.
Diagnose first
Identify which layer is weakest today across the homepage, service pages, FAQ system, and scenario pages.
Restructure next
Rebuild the highest-intent pages first so problem, solution, proof, and CTA work together.
Expand after
Then add more scenario pages, case pages, knowledge content, and iteration systems.
FAQ
Why does the service overview page need a restructure too?
Because it is not only navigation. It also defines the official service structure, category logic, and conversion paths.
How does the overview page relate to each solution page?
The overview page creates the structure. Each service page then expands the delivery scope, audience, FAQ, and CTA.
How is the service-page system organized?
The service-page system is built from the overview page, solution pages, FAQ, case pages, industry pages, and related content assets.
Project Experience
Examples shaped by real client priorities.
These case snapshots show how Coowhale approaches website, GEO, and AI-support work when the goal is practical business improvement.
GEO Case
GEO Optimization Case Page
Context
This case represents projects where a website already exists and already has some search visibility, but still lacks a strong official presence inside AI answer environments.
What had to be solved
Brand messaging is fragmented, FAQ coverage is weak, and the service-page and use-case structure does not support either AI interpretation or buyer evaluation well enough.
Delivery scope
- GEO audit and page-priority roadmap
- Homepage, service-page, FAQ, and use-case-page restructuring plan
- Structured-content and internal-linking improvements
- AI citation baseline testing and iteration guidance
Business impact
- Stronger brand credibility in search and AI answers
- Higher conversion quality for high-intent traffic
- A clearer base for multilingual and ongoing content programs
Case Example
Open case studyWebsite Restructure Case
Website Restructure Case Page
Context
This case represents websites with outdated structure, weak service explanation, missing FAQ pages, and poor contact-path logic.
What had to be solved
The existing pages were not enough to explain the service clearly, build trust, or capture high-intent search and inquiry traffic effectively.
Delivery scope
- Homepage and service-page restructuring framework
- FAQ, industry-page, case-study, and CTA structure design
- Unified brand messaging and contact-path logic
- Internal-linking and page-hierarchy improvements
Business impact
- Improves brand explanation and official credibility
- Increases conversion quality for high-intent search traffic
- Strengthens pre-inquiry decision speed and contact conversion quality
Case Example
Open case studyAI Support Case
AI Support Case Page
Context
This case represents projects with heavy inquiry volume, repeated questions, inconsistent support scripts across channels, and knowledge that has not yet become structured public assets.
What had to be solved
Automated response, knowledge-base logic, FAQ pages, human handoff, and lead routing lacked one shared structure, which weakened efficiency and consistency.
Delivery scope
- AI support rollout design
- Knowledge-base and FAQ structure
- Human-handoff and lead-routing logic
- Unified public FAQ and support-message framework
Business impact
- Improves response speed
- Increases service consistency
- Reduces repeated manual explanation cost
- Strengthens inquiry-to-lead capture
Case Example
Open case studyDelivery Approach
Delivery Approach Example
Context
Some clients need to see how an engagement starts, what gets validated first, and how the work scales into a broader program.
What had to be solved
The decision is often not whether to improve the system, but where to start, how to reduce risk, and how to confirm business value early.
Delivery scope
- Audit or pilot scope definition
- Priority-page or workflow plan
- Validation checkpoints and rollout recommendations
- A phased implementation path for the next stage
Business impact
- Makes the first engagement easier to evaluate
- Clarifies what happens in a pilot or initial phase
- Helps buyers understand how work moves from focused scope to broader implementation
Delivery Approach
Open case studyIf one service area already maps clearly to the current business goal, move directly into that page for deeper delivery scope and fit details.
筑云鲸科技 / Coowhale Technology · contact@coowhale.com · ICP备2025149829号