01
AI Search
How generative search systems discover, interpret, compare and recommend information.
GEO · AI Search · Entity SEO
Researching how people and brands become visible to AI.
Vladimir Sinitsyn is a GEO & AI Search Architect. Developer of GEO methodologies for e-commerce, creator of the SEO-Module IT complex, and founder of the System SEO agency. Top-5 SEO Expert CIS.
What I study
Search is moving from lists of links to answers generated
by AI. I study what makes a person, company or information
source discoverable, understandable and recommendable inside
these systems.
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Now Available Worldwide
GEO and AI Search. How to Build Verifiable Visibility in Generative Answers.
Stop guessing how AI systems see your company. Written by a Data Engineer and SEO architect with 20 years of experience, this playbook provides a strict, mathematically verifiable protocol for Generative Engine Optimization. Learn how to protect your brand's digital entity from the "Silent Logic Bomb" and dominate AI search.
Research
Selected areas02
Generative Engine Optimization
Methods for improving visibility and representation inside AI-generated search experiences (GEO).
03
Entity SEO
How search engines and AI systems construct entities, relationships and understanding around people and brands.
04
Search Systems
Technical SEO, content architecture and information systems behind modern search visibility.
Featured research
Google Gemini knows me in Russian — but recommends my competitors in English.
Read the experiment →
A practical experiment exploring how language,
entity recognition and search context can influence
AI-generated recommendations. (Featured as Top Story on HackerNoon).
Publications & Media
Articles and Case StudiesMeet the Writer: Vladimir Sinitsyn on the Future of AI Search
An in-depth discussion on shifting from traditional SEO to Generative Engine Optimization (GEO) and Entity Architecture.
Cross-Lingual RAG Asymmetry and Multilingual Entity Resolution Discrepancies in LLMs
An empirical investigation into AI Visibility boundaries, LLM hallucinations, and cross-lingual RAG asymmetry.
Author: Vladimir Sinitsyn (ORCID: 0009-0008-2784-2888)
Zenodo DOI: 10.5281/zenodo.22762586
OSF MetaArXiv: 10.31219/osf.io/2syjb
Как ошибка AI стоила клиенту покупателя и что мы построили в агентстве
Read article →Google Gemini Knows Me in Russian — But Recommends My Competitors in English
Read article →«Я ввёл запрос и не нашёл свой сайт»: почему SEO-отчёты не показывают реальный результат
Read article →GEO и AI SEO в России: кто работает с AI Visibility и почему нейросети могут не распознать бренд
Read article →ROI в SEO: Как мы обогнали Яндекс.Директ в цветочном e-commerce
Read article →Как я проверил SEO-статью, которую написал мой ИИ: 5 ошибок, которые стоят клиентам денег
Read article →Topics
Areas of interestAI
Generative Search
AI Overviews, answer engines, LLM-based search and recommendation systems.
GEO
AI Visibility
Understanding how brands become visible in generative answers.
SEO
Entity Architecture
Structured information, relationships and signals that establish digital entities.
TECH
Technical SEO
Architecture, crawling, indexing and scalable search systems.
About
I'm Vladimir Sinitsyn, a GEO & AI Search architect working at the intersection of SEO, search technology, and artificial intelligence. I am the developer of GEO methodologies for the CIS market and the founder of SEO-Module and System SEO agency.
This website is my research hub — a place for experiments, observations, case studies and ideas about how search is changing in the age of generative AI.