Visibility starts
with clear thinking.
I'm an independent AI Visibility and GEO consultant helping businesses become discoverable in AI search.
20+Years in Tech
Building websites, technical SEO, and AI visibility systems since 2003.
3Disciplines
Web development, artificial intelligence, and marketing working together in one practice.
GEO RehberiAuthor
Author of GEO Rehberi, a practical playbook for AI visibility and GEO.
Since
2022
Focus: Web, SEO & AI
I work at the intersection of Web, AI and Marketing.
I'm an AI Visibility & GEO Consultant focused on one question:
How can a brand become discoverable, understandable, and citable when people search through AI?
My background combines three disciplines that increasingly need to work together: web development, artificial intelligence, and marketing.
I started on the technical side — building websites, digital systems and search infrastructure. Over time, I expanded into SEO, data analysis and AI, while my marketing education gave me another perspective: visibility has little value unless it connects a brand with the right audience.
Today, I bring these three disciplines together through Generative Engine Optimization (GEO).
Yunus Makas
AI Visibility & GEO Consultant
From building websites to
building AI visibility
I've worked with web technologies since 2003.
What began with websites and technical infrastructure evolved into technical SEO, structured data, search visibility and eventually AI-powered search.
As ChatGPT, Gemini, Perplexity and AI-powered search changed how people discover businesses, my work changed with them.
I began focusing not only on how websites rank, but on a broader problem:
How do AI systems discover a brand, understand what it does, trust its information and choose it as a source?
That question became the foundation of my GEO work.
Today, I help businesses build the technical, content and authority signals required to become visible across both traditional search and AI-generated answers.
GEO is not just
content optimization.
I approach AI visibility as a system.
A technically strong website alone is not enough. Neither is publishing more content or adding schema markup in isolation. For a brand to become visible in AI search, multiple layers need to work together:
My work combines these layers into a measurable process — identifying where visibility is being lost, implementing improvements, and validating what actually changes. This is where my background in web development, AI and marketing comes together.
I don't just practice GEO. I build systems for it.
Tools that make GEO measurable
A significant part of my work is focused on developing tools that make SEO and GEO more measurable. I build AI-assisted applications for GEO audits, SEO/GEO analysis, search performance monitoring and traffic diagnostics.
A GEO audit platform for AI search visibility.
GEO audit systems
Multi-factor scoring for discoverability and citability.
Womp
A multi-factor SEO/GEO auditing tool.
Traffic diagnostics
AI-assisted systems that turn search data into recommendations.
GEO should be measured, not guessed.
AI visibility should not be based on guesswork. I want to know where a brand is visible, why it appears, what changed, what is missing, and what should be improved next.
Where are we visible?
Across which AI platforms, prompts, topics, and search experiences?
Why are we visible?
Which content, technical signals, authority factors, or third-party sources are contributing?
What changed?
Did visibility improve, decline, or shift over time?
What is missing?
Which topics, entities, pages, or authority signals are holding the brand back?
What should we improve next?
Turn the findings into a prioritized, measurable action plan.
Turning field experience
into a methodology
My work in AI visibility also led me to write GEO Rehberi — Markanızı Yapay Zekâ Aramalarında Görünür Kılın.
The book brings together the methodology I use in practice: how AI-supported search works, how brands become discoverable and citable, how technical SEO and GEO work together, and how AI visibility can be measured.
At its core is the GEO Visibility Framework, the same way I approach client projects and the tools I build.
Measure
Measure the current situation — where a brand stands in AI and traditional search today.
Diagnose
Understand why visibility exists or is missing, down to the specific technical and content signals.
Build
Build the right signals: technical foundations, content, structured data and authority.
Validate
Validate the impact with real search and citation data, not assumptions.
Iterate
Continuously improve as AI search and the market evolve.
Visibility should be engineered, not guessed.
AI search is changing quickly, but that doesn't mean GEO should be based on shortcuts or speculation.
Clarity over complexity
AI systems need to clearly understand who a brand is, what it does and where its expertise lies.
Evidence over assumptions
I prefer measurable search data, AI citations, referral traffic and real user behavior over claims about what an algorithm might be doing.
Systems over tactics
A single optimized page is not a GEO strategy. Technical infrastructure, content, entities, authority and measurement need to work together.
Business outcomes over visibility alone
Being mentioned by an AI system is useful. Being discovered by the right potential customer is the real objective.
The three disciplines
behind my work.
Today, my work is centered around AI Visibility and Generative Engine Optimization, supported by the three disciplines I've built my career around.
Web
Technical foundations, architecture, structured data
AI
AI search behavior, visibility analysis, automation
Marketing
Search intent, positioning, customer journeys
Together, they form the way I approach GEO.
I help brands become discoverable, understandable, trusted and citable — wherever the next search happens.
Before GEO, there was research.
Published academic work on artificial neural networks and multi-criteria decision analysis, from my time in Business Administration and Econometrics.
Yapay Sinir Ağlarıyla Hidroelektrik Enerji Üretiminin Çok Dönemli Tahmini
Yunus Makas, Meltem Karaatlı — Süleyman Demirel Üniversitesi İİBF Dergisi, Cilt 21, Sayı 3, 2016
Selecting Software Programs for Enterprise Project Management with AHP and TOPSIS
Nuri Ömürbek, Yunus Makas, Vesile Ömürbek — Süleyman Demirel Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, Sayı 21, 2015
Genetik Algoritma ile Yapay Sinir Ağları Parametre Optimizasyonu
Hakan Çetin, Yunus Makas, Faruk Erinci — IMUCO, Antalya, Türkiye, 2016
Is your brand visible
in AI search?
Find out how ChatGPT, Gemini, Perplexity and AI-powered search currently see your business, and where the opportunities are.
AI Visibility · Technical SEO · Web Development
Available for new projects
Currently open for AI Visibility, SEO, and web development work.
Phone / WhatsApp
+47 462 46 879Location
Agder, Norway / Remote
Responsive time
Within 24 hours
