GEO · Hero — website AI readiness advanced program

Website programs

Website AI readinessAdvanced · Track 2

Everything in the starter track, plus expanded FAQ coverage, a multi-node knowledge graph, and a news-led trust layer—so AI doesn’t just read you; it can reconstruct your ecosystem and market story.

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GEO · 獎項榮譽:最佳生成式引擎創新(Global AI Awards 2026)、亞太區年度 AI 搜尋策略(MarTech Excellence Awards)、最佳 AI 語義品牌方案(Asia Digital Media Awards)
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Six delivery pillars

The first four mirror the starter program and connect seamlessly; advanced work deepens FAQ breadth, adds a multi-node knowledge graph, and scales authority via a news matrix.

GEO-focused Schema markup deployment & tuning

Structured data so search engines and AI citation layers can reliably read page- and site-level signals — the GEO substrate.

  • JSON-LD modeling
  • Nested brand markup
  • Semantic HTML cues
  • FAQPage markup
  • BreadcrumbList deployment

LLM-oriented semantic markup

Beyond Schema: entity, relationship, and SameAs wiring so LLMs can build an explainable association network for your brand.

  • Entity tagging: industry, service scope, and core products so models form a grounded baseline
  • Relationship mapping: founders, HQ, sub-brands, and other edges you want reinforced
  • SameAs and trust closure: official site ↔ socials ↔ verified profiles for consistent identity

RAG data cleaning & standardization

Turn scattered enterprise sources into clean, chunk-ready corpora—and make the public site easier for AI crawlers to prioritize.

  • Clean 5+ primary sources into retrieval-friendly text blocks, reducing model hallucination drivers
  • AI-friendly crawling: Robots.txt and XML Sitemap tuned to steer bots toward high-value URLs

AI FAQ semantic alignment (expanded)

Build on starter Q&A work with broader coverage across the full product line and trust-chain context—more stable answers on compound intent.

  • Embedding optimization where it moves the needle
  • 50 precision Q&As spanning product lines and trust narratives
  • Semantic tuning on core questions so assistants stay accurate

Knowledge graph construction

Go beyond single-page Schema: multi-node relationships across people, places, offerings, and sub-brands so retrieval and generation cite one consistent ecosystem.

  • 10+ linked nodes to deepen how AI maps your brand ecosystem

Trust signal amplification

Controlled public news distribution expands third-party and authoritative narratives that models can quote—strengthening E-E-A-T and AI-side trust.

  • 30 brand news placements
  • 2 high-authority press pieces

Starter track & other modules

If starter work is already live, this track fills in the graph and trust layer; it can also run alongside on-site modules like AI knowledge structuring as an operational GEO stack.