Dubai, UAE SEO and AI systems Est. 2011

Shahe Seukunian

The case for systems

SEO at scale is an engineering problem.

I build the systems that solve it: production data and content pipelines behind organic growth, with validation gates so nothing unverified ships.

GSC LAND REGISTRY AHREFS IN / SOURCES QC VALIDATION GATES ENGINE python / duckdb / llm apis PUBLISHED PAGES MARKET REPORTS DASHBOARDS OUT / VERIFIED ONLY
FIG. 1 - Production pipeline, simplified. Nothing publishes without passing the gates. Flow replays on hover

The next decade of organic growth belongs to people who can build the systems, not just run the playbooks. So I build them: data pipelines that refuse to publish a number they cannot trace, content automation with quality gates, and search intelligence wired into decisions that actually get made.

Fifteen years in marketing, nine in SEO, from specialist to department head. Agency accounts at OMD, Reprise and Publicis, on Zain, Mashreq and Nestle MENA. Today I lead SEO and AI at a leading Dubai real-estate brokerage, owning the department budget and a team working across six languages and three GCC markets, including RTL.

Selected work

No. 1 / Flagship

Property market intelligence platform

Turning a government property-transaction firehose into a queryable intelligence layer that powers verifiable market reports.

  • in1.6M land-registry txns
  • outmarket intelligence, API
  • stackPython, FastAPI, DuckDB
  • role / yrarchitect and engineer (built solo as the fastest path to production), 2025

No. 2

Content intelligence engine

GSC and Ahrefs data, surfaced through MCP, driving content prioritization and decisioning instead of guesswork.

in: GSC + Ahrefs, live
out: priorities and briefs, days to under an hour

2025 / Next.js, MCP, Google Search Console

No. 3

Automated market-report generation

A multi-agent pipeline that rebuilds PDF market reports as schema-marked, indexable HTML at scale.

in: verified market data
out: 241 reports, structured for search

2025 / Multi-agent pipeline, Schema.org JSON-LD, HTML/CSS component library

No. 4

Multilingual SEO operations

Running SEO across 6 languages and 3 GCC markets with automation handling hreflang and localization QA.

in: 6 locales, 3 markets
out: one technical standard, EN to ZH

2025 / hreflang automation, localization QA, technical SEO at scale

Organic growth

Multilingual SEO (EN/AR/RU/DE/FR/ZH, including RTL and European languages), technical SEO, content systems, GCC markets, schema and structured data at scale.

AI and engineering

Python, FastAPI, React, PostgreSQL, BigQuery, DuckDB, Claude and OpenAI APIs, MCP integrations, Docker on GCP, Streamlit.

Notice: open to SEO leadership conversations and select advisory work.

Correspondence

Hiring for SEO leadership, or have a system that needs building?

[email protected]