Remote SEO Speсialist

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Oleg Zhukov
SEO Specialist

Remote SEO Services

Upwork statistics
100%
Job Success
2,407
Total hours
120
Total jobs
Top Rated

Building Organic Growth through Modern AI Driven SEO

With 10+ years of experience and an engineering, user-oriented mindset, I help your business stay visible where it matters most. Whether it’s classic Google search, local search, or emerging AI-driven ecosystems like GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization), I ensure your brand is the definitive answer to your customers' queries.

My track record is built on transparency and proven results. My clients' success and long-standing Upwork history stand as a testament to my reliability. I invite you to explore my portfolio and reviews—let’s connect and discuss how we can turn your data into a market-leading search presence.

Frequently Asked Questions

Question

What is your approach to optimizing meta tags?

Answer

I write concise, keyword-rich meta titles and descriptions that accurately reflect the page content while also encouraging click-throughs from search results.

Question

How do you stay ahead of competitors in SEO?

Answer

I continuously monitor competitors’ strategies, adapt quickly to industry changes, and focus on creating unique, high-quality content that sets the site apart.

Question

How do you optimize a website's internal linking structure?

Answer

I strategically place internal links to guide users and search engines to important pages, improving navigation, page authority, and overall site structure.

Question

How do you integrate SEO into content marketing strategies?*

Answer

I ensure that all content is optimized for relevant keywords, structured for easy reading, and designed to attract links and shares, thereby improving both search visibility and engagement.

Question

How does the tool handle clustering for similar terms?

Answer

The system uses a multi-stage NLP normalization engine. By applying tokenization and lemmatization, the tool strips away grammatical noise and reduces keywords to their core semantic base. This ensures that phrases like "running shoes" and "shoes for running" are grouped into a single cluster, preventing content cannibalization.

Projects

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