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What is AI visibility?
AI visibility describes whether, when and how a business is mentioned, described, recommended or cited in AI-generated responses to relevant questions. Unlike a traditional keyword ranking, it is measured by testing defined buying-intent questions across selected AI experiences and recording the responses, sources and context.
What is Generative Engine Optimization (GEO)?
Generative Engine Optimization, or GEO, is a practical term for improving how easily AI-assisted discovery systems can find and accurately represent relevant information about an organisation. It overlaps with SEO, clear website content, entity consistency, factual evidence and independent third-party coverage. No single markup or tactic guarantees selection by an AI system.
Can you guarantee that ChatGPT, Gemini or Google AI will recommend my company?
No. AI responses are produced by third-party systems and can change by model, prompt, geography and time. We can improve your publicly accessible information, test visibility with a documented method and report what changed. We never sell guaranteed placements or invented rankings.
How is an AI Visibility Audit different from a conventional SEO audit?
A conventional SEO audit typically examines crawlability, indexing, technical issues, keywords and search performance. Our AI Visibility Audit adds a controlled set of real buyer questions, observations across selected assistants, brand and competitor mention tracking, citation reviews where available, entity clarity and a prioritised action plan. The two types of audit complement one another.
How many questions and AI platforms are tested?
The scope is agreed before work begins. A standard proposal may use 15–25 high-intent questions and sample responses from relevant AI systems such as ChatGPT, Gemini, Perplexity, Claude and Google AI experiences, subject to access and comparability. The report records model, date, language, location where relevant and sampling limitations.
Does structured data make an AI assistant recommend a brand?
Structured data can clarify machine-readable facts about a page and its publisher, but it does not buy placement or force an AI assistant to cite a website. We use accurate Schema.org markup alongside well-written HTML, accessible pages, useful evidence and consistent entity information. All structured claims must match information visible to visitors.
What does the S-I-C-T Framework add to the audit?
S-I-C-T stands for Structure, Information, Cohesion and Transformation. We use it as a four-part diagnostic lens: can systems identify the business, find useful facts, verify consistent evidence across sources and observe whether the organisation adapts to change? It is an original research-informed approach from the Roth Complexity Lab, not a proven search-engine ranking algorithm.
Who works on the account?
Miklós Róth leads strategic diagnosis, prioritisation and executive review. When a project requires specialist content, technical implementation or editorial outreach, those responsibilities are defined in the statement of work. The aim is direct senior-level accountability rather than an anonymous delivery model.
Can you work with clients in multiple countries and languages?
Yes. Projects can be scoped for Hungarian, English, German and Spanish-language markets. Because buyers, search indexes and AI responses vary across markets, each language and geography should be tested and reported separately before making cross-market comparisons.
What happens after the initial audit?
The audit provides a written baseline, source and competitor observations, content and entity findings, and a prioritised roadmap. You can implement the recommendations internally, commission a fixed-scope 30-day visibility sprint or arrange an ongoing measurement and improvement engagement. No long-term agreement is required merely to receive the audit findings.
How do you connect AI visibility to commercial outcomes?
We distinguish visibility indicators from business outcomes. A mention or citation does not equal a qualified lead. When appropriate data is available, we review branded and non-branded search demand, AI referral traffic, relevant landing-page performance, enquiries, sales conversations and pipeline attribution. Findings include the limits of available data.
How can we request an AI Visibility Audit?
Email your website URL, target market, main services and two or three competitors. We will agree on the buyer questions, platforms, languages, timing and deliverables before the project starts. You can contact Roth AI Consulting directly by email or telephone from this website.
