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SEO

A keyword list is not a strategy. Search matches entities and answers now, not pages.

Rankings do not arrive unless technical foundations, information architecture and content work as one. We build the whole stack — from crawl budget and structured data to Core Web Vitals and AI-assisted results.

How we work

  1. 01

    Find what the crawler actually sees

    Server logs and render testing. Content behind JavaScript does not rank.

  2. 02

    Build the architecture

    URL structure, internal linking, canonicals, hreflang. Topic clusters, not loose pages.

  3. 03

    Declare the entities

    Schema.org tells the machine who you are — search reads relationships now, not just text.

  4. 04

    Fix the speed

    LCP, INP and CLS on real devices. Field data, not a lab score.

  5. 05

    Measure and widen

    Search Console plus log data: which query pulls which page, and where the gap is.

Disciplines

  • Technical SEO & crawl audit
  • Entity and topical authority
  • Structured data (Schema.org)
  • Core Web Vitals & INP
  • Multilingual hreflang architecture
  • Log-file analysis

In practice

No published case study carries this discipline yet. The work exists; the write-up does not. Ask us and we will walk you through it directly.