An engineering perspective
Experience with Python/Django, APIs and data systems translates into analysing how models select sources, map entities and judge the credibility of a passage.
AiVisible expert profile
Rafał Fuchs
Founder of AiVisible, senior backend engineer and AI Visibility strategist. I combine hands-on backend systems work with the visibility of B2B brands in answers from ChatGPT, Gemini, Claude and Perplexity.
GEO/AEO methodology
Share of Model
ChatGPT, Gemini, Claude, Perplexity
author entity profile
Person schema
Founder / AI Visibility Strategist
Engineering data, entities and citability for AI search.
Complete
answers kept on record
Explicit
coding method
B2B
buying context
Core specialisation
Reverse-engineering the signals that make AI systems recognise a brand as a credible answer within a given market segment.
Areas of expertise
The technical foundation behind a visibility strategy.
AiVisible does not treat AI search as another keyword list. The work starts with structured data, entity context, citable passages and sources a model can rely on.
Share of Model audits
Brand Gravity
LLM data injection
Citation engineering
Vector database and RAG analysis
Sentiment control
Schema.org and entity mapping
Approach
AI visibility takes more than text optimised for SEO.
RAG, vectors and context
I understand how semantic search, embeddings and context retrieval work. That is why the strategy covers structure, facts and repeatable evidence - not only content.
Educating the market
I maintain a public knowledge base on AI Visibility, GEO, AEO and citability so B2B companies can make decisions from measurement rather than promises.
Fact density
In GEO the currency is a verified fact, not a single backlink.
AI systems need consistent, corroborated information spread across trusted sources. At AiVisible we design content, structured data and external signals so a model stops guessing and starts recognising the brand as the right answer.
How the work runs
1
Measure whether AI systems know the brand and how they describe it.
2
Identify gaps in entities, sources, structured data and content.
3
Build citable passages and external trust signals.
Next step
Find out whether AI systems can see your brand.
Start with a short visibility assessment. You will see whether AI recommends your company, which brands it places alongside you and which sources build trust in your category.