Audit website structure, FAQ coverage, and key decision pages so the team knows what to improve first for GEO.

Upgrade official websites and storefronts around clearer positioning, stronger search capture, and better inquiry conversion.

Plan a stronger AI support rollout across FAQs, knowledge bases, automated replies, human handoff, and inquiry capture.

Deploy AI agents into pre-sales, lead routing, internal workflows, and task execution so AI supports real business operations.

Best for teams with an existing website that still lacks strong service pages, clear FAQ coverage, and the kind of site structure that performs well in both search and AI discovery.

Best for teams with an outdated site structure, weak business explanation, or a storefront that still behaves more like a brochure than a conversion system.

Best for teams with heavy inquiry volume, repeated questions, or existing knowledge assets that still have not been turned into a reusable support system.

Best for brands already operating in WeChat but still lacking a mini-program structure that supports product evaluation, support, and conversion well.

For export brands that need a stronger English site, clearer multilingual structure, and better inquiry capture across search and AI-driven discovery.

For manufacturers and B2B teams that need clearer product explanations, stronger FAQ coverage, and better inquiry paths across websites, search, and AI discovery.

For commerce brands that need tighter coordination across websites, storefronts, mini programs, FAQ systems, AI support, and conversion design.

For service, support, and customer-facing teams that need stronger AI support, FAQ systems, knowledge bases, and human handoff design.

GEO is not just SEO with a new label. It is about making official website content easier for AI systems to understand, cite, and use as a trusted source.

SEO is still about discoverability and traffic in traditional search. GEO is about whether official website content can serve as a reliable source in AI-generated answers.

Many websites are not missing content. They are missing content that is structured, official, clear, and directly useful enough for AI systems to rely on as a source.

When a website gets traffic but not inquiries, the issue is often not traffic volume itself. The issue is whether the site can turn visits into understanding, trust, and action.

These page types matter because they map closely to real user questions, decision logic, and usage context, which makes them much easier for AI systems to reuse as answers.

AI support is not just a model integration. It works best when FAQ coverage, service-page clarity, knowledge consistency, and human handoff logic are already being structured clearly.

This case shows how brand messaging, FAQ pages, use-case pages, and structured public content can be rebuilt to improve understanding, citation, and conversion readiness across search and AI environments.

This case shows how the homepage, service pages, FAQ pages, industry pages, and contact paths were restructured into a stronger public website system for brand clarity, search visibility, and inquiry conversion.

This case shows how automated response, knowledge systems, FAQ structure, and human collaboration were organized to improve support efficiency, service consistency, and knowledge reuse.