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Expertise

SEO expertise, from entities to AI answers

Semantic SEO is my specialty. It works because it sits on top of the fundamentals: technical health, strong pages, local signals and links. These are the twelve areas I work in.

01 Core

Semantic & entity SEO

I take a holistic approach to semantic SEO. The goal is to establish a website as a leading authority within its niche: define the central entity, connect its attributes and related entities, and give every page one clear topic and intent.

This approach follows Koray Tugberk Gubur's advanced topical authority methodology, which I learned and apply in my work.

See an entity become a topical map

  • Central entity
  • Source context
  • Entity-attribute relations
  • Macro & micro context

02 Core

Topical maps & content strategy

I design topical maps and content architectures that cover a niche in depth, which strengthens a site's authority and relevance. Content strategy pairs entity-based optimization with well-structured briefs, so each page satisfies both search intent and semantic relevance.

  • Core & outer sections
  • Page-worthiness
  • Content briefs
  • Internal linking

03 Foundation

Technical SEO

Technical SEO is part of every strategy I run, from crawl and indexing issues to site and information architecture. I have executed technical fixes and developed technical SEO strategies that increase organic traffic.

  • Crawling & indexing
  • Site architecture
  • Information architecture
  • Technical fixes

04 Foundation

On-page SEO

On-page work covers titles, headings, copy, internal links and page structure. I have optimized e-commerce category and product pages and the information architecture around them, so the right page answers the right query.

  • Titles & headings
  • Answer-first copy
  • Category & product pages
  • Internal links

05 Foundation

Local SEO

For service businesses I manage Google Business Profiles, create citations and set local SEO strategy. Local niches I have worked in include plumbing, HVAC, flooring, fencing, pest control and home improvement.

See all industries

  • Google Business Profile
  • Citations
  • Local pages
  • Service areas

06 Foundation

Off-page SEO & link building

My SEO career started with Google stacking, off-page link building and citation building for local campaigns. Today off-page work reinforces the topical authority established on the site itself.

  • Link building
  • Google stacking
  • Citation building
  • Brand mentions

07 Foundation

Keyword research

Keyword research comes before every map and every page: find the queries, group them by intent, and assign each group to the page that should rank for it.

  • Query networks
  • Search intent
  • Keyword-to-page mapping

08 Scale

Programmatic SEO

I design and deploy programmatic SEO systems that scale content across large keyword sets.

  • Page templates
  • Large keyword sets
  • Data-driven pages

09 AI search

GEO, AEO & AI search optimization

Search now happens inside AI answers too. I optimize for Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO), structuring content and entities so brands surface within AI-generated answers on ChatGPT, Gemini, Perplexity and Google's AI Overviews.

See how AI search composes an answer

  • Query fan-out
  • Quotable answers
  • Entity consistency
  • AI Overviews

10 AI search

Reddit SEO

Reddit has become a strong ranking and reference source in both Google and AI search. I use strategic community participation, discussion-driven content and brand mentions to earn topical relevance, referral traffic and visibility in traditional and AI-generated results.

  • Community participation
  • Discussion-driven content
  • Brand mentions

11 Research

SEO patents & whitepaper research

I research search engine patents, research papers and whitepapers to identify emerging ranking signals, algorithmic priorities and advances in semantic search. I read official statements from search engines critically, as one source among several, and translate complex search and NLP findings into SEO strategy that fits how Google's systems are changing.

I also check algorithm volatility every day with sensors such as Semrush Sensor and AccuRanker's Grump, so updates are spotted early.

  • Ranking signals
  • Research papers
  • Official statements
  • Algorithm updates
  • NLP findings

12 Research

SEO hypothesis testing

Much of my SEO knowledge comes from testing, and A/B testing is how I separate SEO myths from facts. I regularly run experiments on AI-generated content, exact match domains (EMDs) and technical variables to validate what actually moves rankings, and refine my strategies from the results.

See how I run a test

  • SEO A/B tests
  • SERP analysis
  • AI-generated content
  • Exact match domains
  • Technical variables

13 Glossary

The words behind the work

The terms I use when I plan and explain SEO work.

Central entity
The main subject a website is about. Every page should connect back to it, so search engines can tell what the site is an authority on.
Source context
Why the website exists and how it earns. It decides which attributes of the central entity matter most and how deep each one should go.
Attribute
A property of an entity, such as its types, cost, problems, location or brands. Attributes become the sections and pages of a topical map.
Topical map
A planned structure of every topic and subtopic a site should cover, which of them deserve their own page, and how the pages link to each other.
Topical authority
The trust a search engine gives a site on a topic after the site covers that topic in depth, accurately and consistently over time.
Core and outer section
The core section holds the topics closest to how the business earns. The outer section holds related topics that build relevance and link back to the core.
Macro and micro context
The macro context is the one main topic of a page. Micro contexts are the supporting subtopics inside it. A page should keep a single macro context.
Contextual coverage
How completely a page or site answers the questions that belong to its topic, including the questions people ask next.
Query network
The group of related searches around one need: the main query, its variations, and the questions people ask before and after it.
Cost of retrieval
The effort a search engine spends to crawl, understand and rank a page. Clean structure, clear answers and less wasted content lower it.
Query fan-out
How AI search splits one question into several smaller searches, reads the results, and combines them into a single answer.
Generative Engine Optimization (GEO)
Optimizing content and entities so a brand is used and cited in AI-generated answers on ChatGPT, Gemini, Perplexity and Google's AI Overviews.
Answer Engine Optimization (AEO)
Structuring content so a passage can be lifted as a direct answer in featured snippets, voice results or AI answers.
Exact match domain (EMD)
A domain name that matches a target search query word for word. How much it still helps is one of the variables I test.
Google stacking
Building a set of interlinked Google properties, such as Sites, Docs, Sheets and Drive files, around a business to support its brand and local signals.

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