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Methodology

Integrated methodology for SEO, GEO, and digital authority

The process translates schema strategy, cross-lingual entity alignment, and AI recommendation testing into concrete deliverables and business outcomes.

01

Structured data and entity foundation

What Zenith does

Audit entity clarity, repair information architecture, and deploy schema patterns such as LegalService, Attorney, Service, and FAQPage that make the business easier to interpret.

Business effect

Improves crawl clarity, entity interpretation, and the factual consistency that answer engines rely on for services such as insurance, immigration, and legal advice.

Artifacts produced

  • Schema map and entity model
  • LegalService, Attorney, and FAQPage deployment plan

02

Cross-lingual content consistency

What Zenith does

Align English and Chinese pages, profiles, and authority assets so search engines and AI systems map the same services, locations, and specialties across languages.

Business effect

Reduces ambiguity across languages and channels, strengthening the probability that search engines and AI systems trust the same attorney, office, and service profile.

Artifacts produced

  • Bilingual profile consistency checklist
  • Cross-lingual knowledge base and authority page plan

03

AI citation baseline testing

What Zenith does

Run prompt-based baseline tests, monitor how the brand appears in answer engines, and refine source material until recommendations become more precise and cite-ready.

Business effect

Creates a measurable loop for improving citation share, recommendation quality, and source validation through repeatable prompt tests.

Artifacts produced

  • AI readiness prompt set and monitoring log
  • Iteration backlog for multilingual content and schema

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