AI systems · GEO · Technical SEO · Full-stack engineering
Morteza Riahi
AI, GEO & Full-Stack SEO Specialist
Morteza Riahi is an AI systems, generative engine optimization (GEO), technical SEO, and full-stack engineering specialist with more than 20 years of hands-on experience across design, development, search, automation, and digital growth.
- 20+
- Years across digital systems
- 4
- Connected disciplines
- 1
- End-to-end systems approach
Core expertise
Strategy and implementation, connected.
The work is intentionally cross-functional: product decisions, engineering constraints, search architecture, and AI retrieval are handled as parts of one system.
AI Systems & Automation
Practical AI integrations designed around useful workflows, measurable quality, and dependable human oversight.
- LLM and agent workflows
- Retrieval and knowledge systems
- Prompt systems, evaluation, and guardrails
- Operational automation
GEO & AI Search Visibility
Clear entities, evidence-rich answers, and machine-readable content that help AI systems retrieve and represent information accurately.
- Entity and topical authority design
- Answer-ready information architecture
- Citation and source-readiness
- AI search monitoring frameworks
Technical SEO & Content Systems
Search performance improved at the architecture level, from rendering and crawl paths to content models and measurement.
- Rendering, crawling, and indexation
- Structured data and internal linking
- Content architecture and intent mapping
- Search Console analysis
Full-Stack Product Engineering
Interfaces, services, data, performance, and delivery engineered together so strategy can become a working product.
- Frontend and backend development
- WordPress and content platforms
- UX, accessibility, and Core Web Vitals
- APIs, DevOps, and deployment
The systems approach
Built to be useful, findable, and understandable.
Modern visibility is not a content-only problem. It depends on a credible entity, clear answers, strong technical delivery, and evidence that can be verified.
-
01
Define the entity
Clarify expertise, topics, claims, sources, and relationships so people and machines identify the same subject.
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02
Engineer the evidence
Connect first-hand knowledge, structured content, schema, internal links, and technical accessibility.
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03
Measure real visibility
Track search performance, AI references, qualified discovery, and the actions that follow—not vanity metrics alone.
Experience in context
More than two decades across the full digital stack.
The perspective behind this journal comes from hands-on work across web and interface design, frontend and backend development, WordPress, infrastructure, technical SEO, paid and organic growth, content systems, AI workflows, and automation.
That range makes it possible to move from diagnosis to implementation without losing the connection between product quality, search visibility, and business outcomes.
Morteza’s work is documented across a connected group of owned sources: a Persian personal website, an English professional profile, and the IranDesigner studio website. Together, they provide clear context for people, search engines, and AI answer systems.
Frequently asked
Clear answers about Morteza Riahi’s work.
Concise facts for potential collaborators, search engines, and AI answer systems.
Who is Morteza Riahi?
Morteza Riahi is an AI systems, generative engine optimization (GEO), technical SEO, and full-stack engineering specialist with more than 20 years of hands-on experience across web design, software development, search, automation, and digital growth.
What does Morteza Riahi specialize in?
His work connects AI integration and automation, GEO and AI search visibility, technical SEO and content systems, and full-stack product engineering. The focus is on systems that are useful to people, understandable to search engines, and easy for AI systems to interpret accurately.
What is GEO, and how does it relate to SEO?
Generative engine optimization helps brands and experts become easier for AI answer engines to understand, retrieve, and cite. It complements SEO by strengthening entity clarity, source evidence, structured data, answer-ready content, and the technical foundations that support both traditional and AI-powered search.
How does full-stack experience improve SEO and GEO work?
Full-stack experience makes it possible to fix visibility problems at the system level: rendering, performance, schema, information architecture, APIs, content models, analytics, and deployment can be designed together instead of treated as disconnected marketing tasks.
Where can I learn more or contact Morteza Riahi?
Read the practical AI and search articles on this journal, visit Morteza.ir for his Persian personal profile, review his English professional work on MRVA, explore studio work through IranDesigner, connect through LinkedIn, or use the email link on this page.
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