Buzz Dealer has introduced an expanded set of Generative Engine Optimization services. The move strengthens brand visibility across AI-driven search engines, conversational assistants, and answer systems that shape how users learn about companies. The announcement came at the Cyprus Fintech Summit and immediately drew interest from marketers watching shifts in AI behavior.
How AI Is Changing Search Behavior
The company’s Chief Marketing Officer, Ron Gilo, led a live panel that addressed how artificial intelligence now handles discovery, trust signals, and decision-making. He explained that users have shifted from scrolling through search results to simply asking an AI agent what it thinks. That difference may sound small at first, but it rewrites how brands appear, how they are evaluated, and how they build confidence with prospective customers.
Gilo pointed out that many people now treat AI answers as a single source of truth. If an AI model gives a fast summary, most users accept it and move on. That behavior creates a new responsibility for brands to ensure the data feeding those answers is reliable, consistent, and up to date. As he put it during the session, “You ask the AI, and you trust its reply. Brands must keep that reply accurate.”
Why GEO Has Become a Priority
Generative Engine Optimization—sometimes called SEO 2.0 or AIO—focuses on the signals that influence how Large Language Models form their replies. These signals include structured data, verification sources, authority markers, and the external references that models repeatedly use. GEO emphasizes the construction and maintenance of these signals so that AI-generated summaries reflect the brand fairly and factually.
This shift moves attention away from traditional ranking tactics and toward the information ecosystems that guide conversational systems. Think of GEO as the process of preparing a brand for the questions people now ask an AI assistant. If the assistant works from incomplete or outdated data, the brand loses visibility before a human ever enters the picture.
Core GEO Service Components
AI Visibility Optimization
Buzz Dealer improves recognition of brand entities inside major AI engines such as ChatGPT, Gemini, Claude, Perplexity, and other sector-specific systems. The approach focuses on structured data improvements and entity verification so the brand is understood by the model without confusion or mislabeling.
Reputation Mapping for Knowledge Graphs
The team strengthens the third-party sources that feed knowledge graphs. These graphs supply key factual relationships, and AI models often lean on them to construct many types of answers. Stronger mapping creates more predictable and consistent brand exposure.
Fact-Source Alignment
Buzz Dealer reviews brand statements against the external references that models frequently cite. This alignment reduces the chance of misquotes, outdated claims, or accidental inaccuracies repeating through AI-generated replies.
Multilingual GEO Support
For brands with international audiences, Buzz Dealer adjusts entity data for regional search ecosystems. AI engines in different languages rely on unique reference sets, and the agency ensures consistency across them.
AI Narrative Defense
This component monitors how AI systems describe a brand. When an engine begins using outdated phrasing or inaccurate data, Buzz Dealer steps in to correct it before it spreads. The service reflects the new reality that AI voices carry wide influence over brand reputation.
Industry Viewpoint
Buzz Dealer CEO Uri Samet emphasized the stakes. He explained that brands now compete for more than appearance—they compete for accurate representation inside machine-generated answers. He noted that users ask AI tools a wide set of questions, from basic reputation checks to high-intent comparisons. If the model gives an answer based on old data, a brand loses an opportunity without ever knowing it happened.
Samet argued that this shift rewards preparation. Brands that treat GEO as an ongoing process benefit from stronger placement in AI-generated summaries. Those summaries often act as a first impression, and first impressions carry lasting consequences.
From my own perspective, this trend tracks with what I see across digital marketing, search, and online reputation work. AI agents rewrite, compress, and simplify massive amounts of information, and they do it in seconds. If a brand ignores that process, it hands control of its narrative to an algorithm that depends on signals many businesses never check. I’ve watched companies lose visibility in a single update because the data feeding the model was never aligned with their real message.
GEO fills that gap. It brings structure and predictability back to a field that has started to feel unpredictable to many professionals.
Buzz Dealer’s actions here reflect a clear understanding of how search has shifted. People may still visit websites. They may still skim traditional results. But many will ask the AI first, and that first reply shapes everything that follows.
This expansion of GEO services shows that Buzz Dealer is investing in the future version of search—one built on summaries, machine-read signals, and knowledge graphs that influence nearly every digital touchpoint.
As AI reshapes discovery, brands need clarity, consistency, and reliable data feeding the systems users trust. Buzz Dealer’s GEO expansion arrives at a moment when many organizations are rethinking how they appear in AI-driven answers. The company’s approach focuses on building steady, resilient signals that help brands stay visible in an era where a single conversation with an AI assistant can secure—or lose—a customer’s confidence.