Parbat Nepal

Resume

Parbat Nepal

SEO Director, One Percent Digital

8+ years in SEO across six international markets. My work focuses on the theory underneath the practice — semantic content structure, applied information retrieval, and how generative systems change what it means for information to be findable.

Career

2023 – Present

SEO Director

One Percent Digital — US-based digital marketing agency (Gilbert, AZ)

  • Highest-ranking position in the SEO department. Report directly to the CEO.
  • Lead a team of 5 across a 30-client portfolio.
  • Direct the agency's approach to semantic content architecture, technical SEO, and generative engine optimization.
  • Design internal automation and measurement infrastructure connecting SEO data sources with language-model analysis.
  • Set the research agenda for how the team evaluates ranking changes, indexation behavior, and AI platform visibility.
2019 – 2023

SEO Specialist → Senior SEO

Various agencies and freelance (Nepal / Remote)

  • Progressive experience across e-commerce, SaaS, local services, and professional services verticals.
  • Worked with clients in the US, UK, Australia, Canada, UAE, and New Zealand.
  • Developed structural theories of commercial page semantics, diagnostic reasoning for ranking problems, and attribute prioritization.
  • Applied and refined these models across international projects.

Areas of study

The questions I work on — in practice at One Percent Digital, and in theory in the notes on this site.

Query Interpretation & Intent

Reading search intent from SERP composition rather than keyword surface features — treating the results page as the engine's public record of how it currently understands a query.

Information Gain

The marginal value of a document relative to the corpus already indexed for its topic, and what that criterion implies for content strategy and for the limits of automated generation.

Entity Semantics & Knowledge Graphs

How sites assert entities and relations — through prose structure, internal linking, and schema markup — and how engines verify those assertions against evidence.

Crawl & Indexation Behavior

Crawling as a resource-allocation problem and indexation as a quality verdict; what site architecture communicates to the allocator and what persistent gaps reveal.

Generative Retrieval & Citation

How answer-composing systems select sources: extractability, entity grounding, and novelty as a distinct objective function alongside classical ranking.

Measurement & Instrumentation

Designing continuous observation of rankings, crawls, and index state so that hypotheses about search systems can actually be tested rather than assumed.

Structural theories

Three interconnected models of document structure and diagnostic reasoning, developed and refined over years of practice.

Semantic Structure of Commercial Pages

7 concepts

A theory of how commercial documents are parsed by semantic search systems — structure as meaning, not style.

Diagnostic Reasoning for Search Problems

5 stages

A reasoning discipline for moving from a ranking problem to a structural explanation, run fresh for each domain rather than pattern-matched from templates.

Attribute Priority as Information Ordering

5 levels

A theory of position: where information appears in a document is itself a claim about importance, read by users and ranking systems alike.

Tech stack

SEO & Research

  • Ahrefs MCP
  • Screaming Frog
  • Google Search Console (API)
  • GA4
  • Semrush
  • Surfer SEO
  • Clearscope
  • BrightLocal

AI & Automation

  • Claude AI (Sonnet + Opus)
  • Claude Code
  • Gemini API
  • n8n (self-hosted)
  • Python

Content & Operations

  • Notion (API integration)
  • Google Docs API
  • Looker Studio
  • Next.js / Vercel
  • Schema.org / JSON-LD

Markets

Search behaves differently across markets — query language, SERP composition, and competitive density all shift by country. These are the markets I have studied first-hand.

  • United States
  • United Kingdom
  • Australia
  • Canada
  • UAE
  • New Zealand

Verticals

E-CommerceSaaSProfessional ServicesLocal BusinessHospitalityManufacturingFintechHealthcareReal EstateEducation

How I work

  • Async-first. Written analysis over meetings wherever possible.
  • Hypothesis-driven: every recommendation states what evidence would falsify it.
  • Instrumentation before intervention — measure the system before changing it.
  • Timezone-flexible across US, UK, AU, and NZ time zones.