Frequently asked questions
- What is Technical Brand Engineering?
- It is the semantic and technical architecture that makes your brand readable, consistent, and cited by LLMs and autonomous agents — beyond classic SEO.
- What is GEO (Generative Engine Optimization)?
- GEO optimizes your brand's presence in AI-generated answers (ChatGPT, Claude, Perplexity), where your customers now make decisions.
- How does Voktix audit my brand?
- Our Brand AI Audit analyzes your Brand Knowledge Base structure, system prompts, and RAG coverage to produce an actionable semantic persistence score.
- Why is a professional email required?
- The audit calculator is reserved for business decision-makers. Consumer domains (@gmail, @yahoo, etc.) are filtered to ensure B2B follow-up and confidentiality of results.
- How do I keep control of my brand image in the AI era?
- By technically structuring your brand DNA (BKB), engineering system prompts, and deploying proprietary RAG. Without this architecture, LLMs invent a default persona for your brand.
- What is the difference between SEO and GEO?
- SEO optimizes visibility in Google's blue links. GEO (Generative Engine Optimization) optimizes your presence in synthesized answers from ChatGPT, Claude, and Perplexity — where buyers decide today.
- What is a Brand Knowledge Base (BKB)?
- A structured semantic graph of your guidelines, tone of voice, and values designed to be read and faithfully reproduced by LLMs — your brand's machine-readable brain.
- How long does the online audit take?
- The interactive funnel takes about 3–5 minutes (4 steps). You immediately see a dashboard with global and sub-scores; strategic recommendations are sent by email.
- Who is Voktix for?
- Marketing, brand, and digital leaders at large organizations (Fortune 500, FTSE, DAX) preparing for AI-driven customer journeys and Generative Engine Optimization.
- Can LLMs invent information about my brand?
- Yes, if your brand is not technically structured. Models fill gaps with generalizations or hallucinations. Technical Brand Engineering reduces this risk with verifiable brand data.