EXPERT

Mohamed Isse

Semantic SEO and GEO Specialist

Focuses on organic growth and AI visibility, building knowledge graphs that help search engines and LLMs understand and discover pages. Architect of Knowledge Graphs and Semantic SEO built on true entity optimization, not traditional keyword stuffing.
2+ Years experience
1 Language
5 Markets
EXPERTISE

Core Expertise

What Mohamed brings to each engagement

Topical Maps & Entity Hubs

Builds topical maps, entity hubs and schema markup, because keyword research alone no longer earns rankings in 2026: search engines and LLMs need clear entities to rank and cite a site.

Entity-Attribute Modeling

Structures content around precise entity-attribute relationships to build robust topical authority, so search engines deeply understand the brand and rank it for high-intent queries.

Knowledge Graph Architecture

Designs interconnected entity data structures and schema markup that establish clear domain relationships and help search engines map the brand's authoritative identity across the web.

AI Search Optimization

Optimizes content structures and data for AI search systems, so the brand is accurately cited and recommended across conversational search engines and LLM answers.

PROOF & FIT

Why Mohamed Is a Strong Fit

Experience, measurable outcomes, and the type of work where Mohamed adds the most value.

Experience Snapshot

Works end to end on Semantic SEO architecture and entity optimization, from Knowledge Graph design and technical schema engineering to large topical maps. His current large-scale project is his own e-commerce store, Toriva Wear, where he has structured a topical map spanning more than 4,000 entity-driven queries to build niche authority.

Proven Results

  • On a new site, built an entity-driven topical map covering 4,000+ targeted queries and implemented structured schema markup. An outerwear page designed with strict Entity-Attribute-Value modeling reached page 1 on Google for its test query within 14 hours of publishing.
  • Toriva Wear, his own store: 325 clicks and 33,304 impressions in Google Search Console from 1 May to 23 October 2026, with the homepage at an average position of 2.93 and 6,033 AI search impressions in three months.
  • For a multi-category niche brand, implemented Entity-Attribute data modeling with optimized schema layers, expanding topical coverage and doubling organic search visibility within 90 days.

Best Fit

Especially well suited to growth-focused brands, SaaS platforms and teams scaling through content-led search visibility, which want to move beyond basic keyword optimization into Semantic SEO, Knowledge Graph alignment and AI search readiness, building deep topical authority and capturing high-intent organic traffic.

TOOLS

Tools & Platforms

Selected tools Mohamed uses in day-to-day delivery.

Semrush

Keyword research, competitor entity mapping and search intent analysis

TechnicalSEO.com & Schema.org

Building, testing and validating structured JSON-LD schema markup

ChatGPT & Gemini

Entity extraction, topical map generation and content structure optimization

Microsoft Excel

Dataset management, topical map structuring and content inventory modeling

SCOPES OF WORK

Scopes I Work On

Delivery scopes where I am an assigned specialist.

CTA

Make your brand clear to search and AI

Mohamed maps the entities behind your business, builds the topical map and schema layer and structures content so Google and LLMs understand and cite you.