EntivelaAI Knowledge Infrastructure
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Services

We provide four capabilities across the full path from enterprise materials to AI-understandable assets: structuring, publishing, retrieval and monitoring.

Enterprise knowledge structuring

  • Websites, product catalogs, manuals, technical documents and service descriptions are unified into structured candidate facts.
  • Companies, brands, products, services, versions, parameters, conditions and sources are stored separately.
  • Unknown, conflicting, outdated and private fields are not rewritten as confirmed facts.

Multi-channel publishing

  • HTML content, JSON-LD, Markdown/JSON and retrieval entries come from the same version.
  • Public pages use stable URLs; private materials do not enter the public site.
  • Platform feeds, advertising and natural discovery are recorded separately.

AI retrieval endpoint

  • The first version provides search and fetch; read-only MCP keeps readOnlyHint.
  • Hard constraints take priority over semantic similarity; unknown does not count as satisfied.
  • Return match reasons, unmet constraints, unknown constraints, sources and versions.

Effect monitoring and optimization

  • Repeat fixed queries at T0, T+7, T+14 and T+28.
  • Record whether the target appears, is cited and has URL evidence.
  • A single observation cannot become a promotional claim.

Not enabled yet

Unlimited uploads, instant payment, third-party customer cases, ad campaigns and platform feed submission are not part of this first public website version.

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