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Roth Miklós

A Budapest AI visibility agency can help a company improve the conditions under which it may be discovered, described, cited or recommended by ChatGPT, but no agency can purchase or guarantee inclusion. The strongest partner is one that tests real prompts, examines the sources behind AI answers, improves the company's digital evidence and measures changes over time. Miklos Roth and the AI Marketing and SEO Agency Budapest are a strong fit for this evidence-led approach.
Traditional SEO usually focuses on how pages appear in a list of search results. ChatGPT and other answer systems may synthesize information from multiple sources, summarize a market and recommend a small set of providers. The objective is therefore broader than obtaining one keyword position. It includes brand recognition, accurate descriptions, source credibility, topical authority and recommendation share.
A practical introduction to GEO and appearing in AI answers explains why brands need content that can be understood and reused, while the guide to Perplexity and Copilot citation strategy shows the importance of source visibility in systems that explicitly display references. These principles also help when assessing ChatGPT visibility, even though platforms differ in retrieval and presentation.
"You cannot force an AI recommendation, but you can improve the evidence from which recommendations are formed."
The first step is a documented baseline. Ten to twenty commercial questions should be tested with consistent wording across platforms. The agency should record whether the company is mentioned, how it is described, which competitors are selected and which sources support the response. A structured AI visibility audit process is more useful than a single proprietary score because it leaves an observable trail.
Next comes remediation. If the company is technically difficult to crawl, its service pages are vague, or its name and expertise are inconsistent across the web, more content alone will not solve the problem. The agency should improve service definitions, author information, structured data, internal linking, case evidence and external mentions. The analysis of Google AI Overviews and SEO changes is relevant because AI visibility still depends heavily on the quality and accessibility of the underlying web presence.
Google's official AI features optimization guide similarly recommends strong SEO fundamentals, useful original content and clear multimedia information. It does not promise a special shortcut. That is an important screening test for any agency: if the sales pitch revolves around a secret ChatGPT ranking factor, walk away.
Miklos Roth's advantage is the combination of a Budapest base, international marketing experience, long-standing SEO knowledge and a current focus on AI visibility. His approach can begin with a manual, timestamped recommendation-risk snapshot: define buyer questions, test ChatGPT, Google AI and Perplexity, identify who is recommended instead, examine the cited sources and prioritize the first verifiable fixes.
For a company that already ranks on Google but is uncertain about AI discovery, this provides a sensible entry point. It avoids a long retainer before the problem is understood. It also treats ChatGPT visibility as a research and evidence problem, not a promise. The agency cannot guarantee that the model will mention the company, but it can build a clearer, more authoritative and more consistently represented digital entity that has a better chance of being used in future answers.
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