Total Dizajn / LLMO · AI Search · 2026
Large Language Model Optimization.Make your brand usable by AI.
LLMO helps AI systems retrieve, understand, describe and cite your brand more accurately. It combines entity clarity, source architecture, structured data, answer-ready content and citation readiness.
Large Language Model Optimization is the practice of making information easier for AI systems to find, interpret, verify and reuse.
It is not about manipulating a model. It is about improving the digital evidence around your brand: clear entities, accessible pages, reliable sources, structured data, strong authorship and content that answers real questions precisely.
A complete LLMO system.
From baseline testing and entity mapping to source architecture, structured data and AI visibility measurement.
AI visibility baseline
Test how major AI systems currently describe your brand, people, services and expertise.
Entity architecture
Clarify relationships between the organisation, founders, authors, products, services, locations and topics.
Source architecture
Connect official pages, author profiles, research, video, social profiles, references and external evidence.
Answer-ready content
Create definitions, comparisons, FAQs, evidence blocks and concise passages designed for retrieval.
Citation readiness
Strengthen authorship, claims, original data, references, update signals and source reliability.
Schema Markup
Connect Person, Organization, Service, Article, FAQ, ImageObject, VideoObject and related entities.
Multilingual LLMO
Localise meaning, terminology and entity signals for different languages, markets and AI ecosystems.
Measurement
Track mentions, citations, source coverage, response accuracy, referenced pages and conversions.
LLMO framework
From fragmented signals to AI-readable authority.
Baseline queries
Test branded, category, comparison and expertise questions across relevant AI systems.
Entity map
Define the primary entities, relationships, identifiers, official sources and supporting evidence.
Content restructuring
Rewrite pages around direct answers, source-worthy passages, evidence and user intent.
Structured data graph
Use consistent IDs and connected schema types across the site.
External validation
Strengthen profiles, citations, references, expert authorship and trusted third-party signals.
Iteration and reporting
Measure changes in visibility, accuracy, citations and business contribution.
SEO and LLMO work together.
LLMO expands the optimisation target from rankings and clicks to retrieval, understanding and citation.
Crawl, rank and convert
SEO improves technical access, relevance, authority, user experience and organic performance.
Retrieve, understand and cite
LLMO improves entity clarity, source quality, passage usefulness and answer visibility.
Pages built around demand
Content targets keywords, topics and user journeys across search engines.
Passages built around evidence
Content is structured so AI systems can identify, verify and reuse accurate information.
A visual architecture for AI understanding.
Entities, content, structured data and source credibility must operate as one system.
Video / LLMO & AI Visibility
AI systems need more than content. They need clear evidence.
This video introduces the broader relationship between AI visibility, source architecture, entity clarity, structured data and content that can be retrieved, verified and cited.
Predrag PetrovićLLMO · AI Visibility · Entity SEO · EMEA
Founder-led LLMO strategy
LLMO with SEO discipline and entity clarity.
“AI visibility is not created by adding a few keywords. It is built through clear identity, reliable sources and useful evidence.”
Predrag Petrović combines long-term SEO experience with LLMO, GEO, Entity SEO, Schema Markup, multilingual strategy, source architecture and AI visibility measurement.
Predrag Petrović — AuthorFAQ
LLMO questions without the hype.
What is Large Language Model Optimization?
LLMO improves how AI systems retrieve, understand, describe and cite a brand, person, product, service or source.
How is LLMO different from SEO?
SEO focuses on crawlability, rankings and organic traffic, while LLMO adds entity clarity, source readiness, retrieval structure and citation value.
Does LLMO replace SEO?
No. LLMO depends on strong technical SEO, trustworthy content, clear entities and accessible source architecture.
How is LLMO performance measured?
Through AI mentions, citations, source coverage, response accuracy, referenced pages, branded queries and conversions from AI discovery.
Become a source AI systems can understand and cite.
Share your website, target market and primary AI visibility objective.
Request an LLMO strategy