Vocabulary › Section B · The Methodology: OMG Protocol §4.4, §5.4

Measurement Vector

The intermediate organisational unit between pillar and datapoint. Each pillar contains two vectors; each vector groups datapoints that share a measurement type and an intervention type. Vectors are the level at which strategic prioritisation happens — what should we work on next is answered at the vector level, before drilling down to specific datapoints.

  • V1.1 Signal Architecture. Optimize. Structured data, schema markup, semantic HTML, metadata quality.
  • V1.2 Technical Health. Optimize. Crawler accessibility, performance, security, canonical consistency, multilingual setup.
  • V2.1 Semantic Density. Manifest. Topical relevance, content depth, source attribution, entity recognition, claim density, originality, information-structure quality.
  • V2.2 Structural Legibility. Manifest. Content hierarchy, chunk extractability, formatting, accessibility, source-identity clarity, content update signals.
  • V3.1 Knowledge Validation. Generative. Citation strength, AI-citation presence, Wikidata presence, knowledge-graph depth.
  • V3.2 Trust Alignment. Generative. Domain-authority proxy, trust-to-spam ratio, trust signals, transparency indicators, external-validation presence, content freshness.

Unit organisasi perantara antara pillar dan datapoint. Setiap pillar memuat dua vectors; setiap vector mengelompokkan datapoints yang memiliki jenis pengukuran dan jenis intervensi yang sama. Vectors adalah tingkat di mana prioritisasi strategis dilakukan — pertanyaan apa yang harus kita kerjakan selanjutnya dijawab pada tingkat vector, sebelum menelusuri lebih dalam ke datapoints yang spesifik.

  • V1.1 Signal Architecture. Optimize. Structured data, schema markup, semantic HTML, kualitas metadata.
  • V1.2 Technical Health. Optimize. Aksesibilitas crawler, performa, keamanan, konsistensi canonical, pengaturan multibahasa.
  • V2.1 Semantic Density. Manifest. Relevansi topikal, kedalaman konten, atribusi sumber, pengenalan entitas, kepadatan klaim, orisinalitas, kualitas struktur informasi.
  • V2.2 Structural Legibility. Manifest. Hierarki konten, ekstraktabilitas potongan teks, pemformatan, aksesibilitas, kejelasan identitas sumber, sinyal pembaruan konten.
  • V3.1 Knowledge Validation. Generative. Kekuatan sitasi, kehadiran sitasi AI, kehadiran Wikidata, kedalaman knowledge-graph.
  • V3.2 Trust Alignment. Generative. Proksi Domain Authority, rasio kepercayaan-terhadap-spam, sinyal kepercayaan, indikator transparansi, kehadiran validasi eksternal, kesegaran konten.