--- canonical: https://www.jkconcepts.at/en/geo-optimisation/ robots: noindex, follow --- GEO for AI search & answer engines # Become visible as a trustworthy source in AI answers Whether ChatGPT Search, Google AI Overviews and Gemini, Microsoft Copilot, Perplexity, Claude, Grok, Meta AI, Mistral or DeepSeek: the models change, but what makes a good source stays the same. I optimise technology, content and trust signals across all systems. [Discuss AI visibility](https://www.jkconcepts.at/en/geo-optimisation/#anfrage) [AI systems at a glance](https://www.jkconcepts.at/en/geo-optimisation/#systeme) Prefer to talk? [+43 676 487 91 38](tel:+436764879138) At a glance ### Target systems ChatGPT, Gemini, Copilot, Perplexity & more ### Foundation crawlable, unambiguous and verifiable ### Measurement Mentions, sources and qualified visits ## One foundation for the most important AI systems GEO is not only about ChatGPT. The answer systems, search interfaces and assistants your audience actually uses for research are analysed. - ChatGPT OpenAI ChatGPT Search and web-based answers with linked sources. - Google AI Gemini AI Overviews, AI Mode and Gemini answers in the Google ecosystem. - Copilot Microsoft Copilot Search and AI answers based on Bing and web sources. - Perplexity Answer engine Source-based answers, comparisons and multi-step research. - Claude Anthropic Web search and research answers with traceable citations. - Grok xAI Current answers from web search and the information space of X. - Meta AI Meta AI answers on the web and in Facebook, Instagram and WhatsApp. - Vibe Mistral AI The Mistral assistant, formerly Le Chat, with search and research. - DeepSeek DeepSeek Web search and research in the app, web interface and agents. The list deliberately refers to products rather than versions: model names change faster than a sound optimisation concept. ## Don’t optimise for one model – become a reliable source Depending on the system, AI answers are generated from their own models, search indexes, live web search, knowledge graphs and partner data. That is why there is no universal ranking factor and no switch for “appearing in every AI”. Across systems, what counts is accessible pages, clear company entities, unambiguous answers, consistent facts, original evidence and external confirmation. GEO therefore extends solid SEO – it doesn’t replace it. ## Where AI visibility gets lost today Not every problem is a content problem. Often technical accessibility, clear signals or genuine information value are missing. ### Competitors are mentioned – your business isn’t Relevant AI answers recommend or cite other sources, even though your offer is a good professional fit. ### The brand is understood differently by each system Services, location, people in charge and areas of expertise are not described consistently enough. ### Content offers nothing worth citing Texts repeat general statements but contain little first-hand experience, data, examples or clear answers. ### Success is confused with individual prompts Defined topics, repeatable tests, source monitoring and the link to business results are missing. ## What is optimised across systems The exact scope depends on market, audience and the AI systems prioritised. These building blocks form the shared foundation. ### Technical source access Crawling, indexing, robots rules, HTML output, internal links and relevant search crawlers are checked across systems. ### Entities and facts Companies, people, services, locations, products and relationships are described clearly and consistently. ### Question and topic architecture Real decision-making questions get clear pages, direct answers, context and sensible internal connections. ### Original content worth citing Case studies, measurements, methods, experience and expert context create information that generic texts cannot replace. ### Structured data with substance Markup describes visible content correctly. It complements good pages, but it is not special code for guaranteed AI recommendations. ### Multi-engine monitoring Defined topics and questions are checked repeatedly in relevant AI systems – including mentions, sources, tone and referral traffic. ## How measurable AI visibility is built From a reproducible baseline measurement to ongoing source monitoring, every step stays traceable. 1. Baseline Record relevant questions, systems, current mentions and cited sources. 2. Check access Prioritise technical obstacles to search, crawling and indexing. 3. Sharpen signals Clarify entities, topic structure, internal links and responsibility. 4. Publish evidence Make first-hand experience, cases, data and precise answers visible. 5. Monitor the systems Check results repeatedly and improve them on the basis of reliable data. ## A dependable source system instead of nine separate tricks First the shared foundation is improved. Then the systems that really matter for your audience, market and business model are covered in more depth. A website audit is often the most sensible first step. Quote after a first conversation [Discuss AI visibility](https://www.jkconcepts.at/en/geo-optimisation/#anfrage) - No guaranteed placement in ChatGPT, Gemini, Copilot, Perplexity, Claude or other systems - Platform-specific differences are checked and documented transparently - Model updates should not invalidate the whole visibility concept ## Frequently asked questions Answers on platform coverage, crawlers, measurement and realistic expectations. ### Do you optimise separately for ChatGPT, Gemini, Copilot and Perplexity? The shared foundation is built across systems. In addition, differences in source access, presentation and answer behaviour of the prioritised platforms are checked. ### Which AI systems are covered? Depending on the audience, ChatGPT, Google AI Overviews, AI Mode and Gemini, Microsoft Copilot, Perplexity, Claude, Grok, Meta AI, Mistral Vibe and DeepSeek are covered. Further industry-specific systems can be added. ### Does GEO guarantee a recommendation or citation? No. No reputable provider can guarantee a placement, mention or recommendation. The aim is to make content technically accessible, unambiguous, useful and worth citing. ### Do we need an llms.txt file for this? A single file does not replace crawlable content, a clear page structure or expert quality. Whether it makes sense is assessed as a complementary measure – not as a universal ranking factor. ### Do all AI crawlers have to be allowed? No. Search access, training and other purposes need to be assessed separately. Only crawlers whose benefit, purpose and data protection implications fit the chosen strategy are allowed. ### How do we measure AI visibility across several systems? With a fixed catalogue of questions and topics, repeatable checks, observed mentions and sources, referral traffic and business results. Individual manual prompts remain snapshots. ## Sensible next steps Related services work together, but each one can be commissioned on its own. ### Website audit Check the technical and content starting point. ### Website redesign Build GEO fundamentals into the structure and migration from the start. ### AI consulting Automate concrete internal processes instead of focusing only on visibility. ## Tell me briefly what it is about You will receive a personal reply with an initial assessment and the sensible next step – usually within one working day. - Phone [+43 676 487 91 38](tel:+436764879138) - Email [office@jkconcepts.at](mailto:office@jkconcepts.at) - Location Graz, Austria