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Assia Belmokhtar linkedin Icon

SEO Project Manager at Scopic Studios

Assia leads Scopic Studios internal and client SEO initiatives, overseeing strategy and execution across projects while driving organic growth and managing stakeholder communications, client relationships, timelines, and cross-functional collaboration.

Professional & Academic Information

Assia began her career in 2016 as an SEO Copywriter while studying Web Development and Infographics at the University of Boumerdès. After earning her Bachelor’s degree in 2020, she progressed into an SEO Specialist role before stepping into an SEO Project Manager position.

Building on her expertise in SEO analysis, technical optimization, and content marketing, she joined Scopic Studios in 2023 as an SEO Consultant, where she led strategy and execution across both in-house and client projects.

In 2024, she was promoted to SEO Project Manager, taking on responsibility for client relationships, stakeholder communications, timelines, and team workload while continuing to deliver data-driven strategies that support sustainable organic growth.

From leading an SEO team to contributing to projects such as JobSiteCare, WorldClinic, and Shapiro, her work has consistently driven measurable organic growth across a range of initiatives.

Assia remains committed to continuous learning and staying at the forefront of SEO and AI-driven search trends, using innovative, data-driven strategies to deliver lasting impact and support long-term growth.

Areas of Specialization

Competitive Analysis & Auditing (SF, SEMrush, Lighthouse)

Analytical Skills (GA, GTM, GSC)

On-page, Off-Page SEO and Technical SEO

KPI Dashboards & Reporting (Looker Studio, Replit, PowerBI)

Team Mentoring & Leadership

AI and Generative Engine Optimization

Content Strategy & Development

International SEO

Project Management

Client Relations

Local SEO

Affiliate Marketing

YouTube Marketing

Keyword Research & Analysis

Contributed Articles

This article explains how to structure B2B content so it performs in both traditional search and AI-driven discovery, aligning SEO fundamentals with emerging generative engine requirements. It outlines a practical approach to improving visibility, authority, and citation likelihood across search and AI platforms.

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This article explores how generative search engines evaluate and select sources, outlining the key signals that determine whether your content gets cited. It provides a practical framework for structuring articles to improve AI visibility, authority, and inclusion in generated answers.

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This article examines usage-based and subscription pricing models in SaaS, detailing how each impacts revenue predictability, expansion, and churn behavior. It provides a clear, practical framework for selecting and evolving pricing strategies based on value metrics, customer usage patterns, and long-term growth goals.

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This article breaks down how to design internal linking architecture for large websites to control crawl depth, distribute authority, and improve indexation efficiency. It offers a practical approach to structuring links so search engines prioritize high-value pages and users navigate content more effectively.

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This article explains how to control indexation on large websites to prevent SEO bloat, wasted crawl budget, and diluted rankings. It provides a clear decision framework for when to use noindex, canonical tags, redirects, or deletion to maintain a clean, high-performing index.

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This article outlines a structured framework for fixing broken CRM data pipelines in B2B, showing how poor data hygiene undermines targeting, attribution, and revenue performance. It delivers actionable strategies for cleaning, standardizing, and automating data processes to ensure long-term accuracy, compliance, and pipeline efficiency.

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