A broad name for several disciplines
AI Search Optimization

Some of the 500+ brands we've worked with
See all referencesSix routes from the same front door
The evidence tells you which AI SEO capability you need


GEO Strategy & AI Search Audit


Technical AI Search Optimization


AI Citation Content Optimization


Entity & Knowledge Graph Optimization


AI Search Authority & Citation Strategy


AI Visibility Monitoring & Answer Accuracy
What the term means
AI SEO describes the visibility problem, not one method
Buyers use AI SEO for work on the information and signals that AI search systems may access, understand, verify, and use in an answer. The name is familiar, while the work beneath it crosses several disciplines.
The GEO delivery map
A broad request becomes a set of owned actions
We map the request across six GEO capabilities: audit and strategy, technical access, citation-ready content, entity clarity, source authority, and measurement. AI SEO remains the front-door term. The plan identifies the specialist discipline responsible for each approved action.
Scope and ownership
AI SEO is the front door; the plan names the discipline behind each action
A broad request only becomes workable once it says which team, which evidence, and which limits apply.
We map the request across six GEO capabilities — audit and strategy, technical access, citation-ready content, entity clarity, source authority, and measurement — and record which answer experiences are in scope, since ChatGPT, Gemini, Perplexity, and AI Overviews can all sit under the same brief. Technical, content, entity, authority, and analytics teams each keep responsibility for their own work and evidence; using AI to research, write, analyze, or automate conventional SEO is a separate practice and stays out of this scope. Your team can improve access, clarity, evidence, and measurement, but the third-party model decides what it mentions or cites, so no fixed visibility guarantee is offered.
How an AI SEO request becomes workable
The label spans several answer systems
ChatGPT, Gemini, Perplexity, AI Overviews, and other answer experiences can all sit within an AI SEO brief. No single platform or mechanism defines the term.
Visibility is the business concern
The question is how the brand is found and represented in AI search. Tools used for conventional SEO research, writing, analysis, or automation belong to a separate practice.
Different disciplines own different gaps
Technical, content, entity, authority, and analytics teams may all contribute. Each keeps responsibility for its own work and evidence.
Third-party models make the final selection
Your team can improve access, clarity, evidence, and measurement. The model decides what it mentions or cites, so the work cannot carry a fixed visibility guarantee.
Clients on the work
What it is like to work with Zeo
Our clients describe the work in their own words.
Adjacent search evidence
Case Studies
Organic search engagements establishing the indexation, content depth, and domain authority that AI answer engines draw from.
People who watch how AI cites a brand
GEO work starts with recording what AI answers actually say about a brand today, then moves to the parts you can influence. The consultants below work on the specific capability this page covers.

Aybüke Göktuna
Senior SEO Analyst

Can Mutioğlu
Senior SEO Executive

Gülşah Şahin Özkan
Senior SEO Analyst

Ezgi Gülsen Yaylı
SEO Manager

Hande Parmaksız
SEO Manager

Sena Önder
Senior SEO Executive

Sinem Bakır Yavaş
Senior SEO Executive

Ali Özgün Öz
SEO Executive

Bensu Tınastepe
Senior SEO Analyst

Ruhan Tiryaki
Senior SEO Analyst

Yağmur Bayram
Sr. SEO Analyst

Emir Kağan Kahveci
SEO Analyst

Didem Himmetli
Marketing Executive
Content we've produced on this topic
Tools we use
What we watch AI answers with
Generative search leaves less to read than a rankings report does, so most of this work is assembling evidence from tools that were never built for it.
AI answer and citation tracking
- ProfoundThis page's own point is that AI SEO spans several answer systems, not one; Profound's cross-engine panel is what lets a program check visibility across that full span from a single source instead of stitching together per-engine tools, which matters specifically because this page is the umbrella a client lands on before a narrower capability gets chosen.
Entity and structured data
- Google Search ConsoleBecause this page's own job is routing a broad visibility request into the discipline that actually owns it, technical access is the first thing checked in Search Console before a request gets referred to entity work, content work, or authority work instead.
- Schema AppWhen an initial visibility gap traces back to entity clarity or markup, Schema App is the tool a routed engagement actually uses, which this page names as an example of a broad request becoming a set of owned actions rather than one undifferentiated AI SEO task.
Content evidence and sourcing
- NotionThis page's third process step, different disciplines own different gaps, produces a written routing decision, and Notion is where that gets recorded so the client and the receiving specialist team share the same account of why a given gap was assigned where it was.
Turn the umbrella term into a brief
Work out which discipline should move first


Using the term accurately

































