Search is becoming less about finding a list of websites and more about getting an answer. Viral Nation is betting that shift will create a new category of marketing infrastructure with the launch of AI Discovery, a generative engine optimization (GEO) offering designed to influence how artificial intelligence systems understand, describe and recommend brands.
The social-first agency and technology company says its approach combines technical optimization with content, creator networks, community activity, earned media, authority building and measurement. The strategy reflects a broader change facing marketers as consumers increasingly turn to AI platforms for recommendations and comparisons.
For years, digital marketing has been built around a relatively familiar sequence: a consumer enters a query, a search engine produces results and brands compete for visibility on the resulting page.
Generative AI is changing that model.
When a consumer asks an AI system which software provider to choose, which agency is best for a particular job or which brands compare favorably, the platform may produce a synthesized answer instead of a conventional search-results page. The brands mentioned in that response can effectively become the shortlist.
That creates a different optimization problem for marketers. A company can rank well for conventional search queries and still have limited visibility inside AI-generated answers if its identity, authority or supporting information is poorly represented across the web.
Viral Nation’s new AI Discovery offering is designed around that problem.
The company describes GEO as an extension of digital brand strategy rather than a replacement for search engine optimization. Its premise is that AI systems learn from a broader collection of signals than a company’s website alone, including published content, creator activity, online communities, earned media, third-party references and broader cultural conversations.
That makes AI discovery partly a technical problem and partly an ecosystem problem.
From Rankings to AI Recommendations
Traditional SEO remains important, but generative AI introduces additional questions for marketers: Is the company accurately represented in AI answers? Does an AI system recognize the brand as an entity? Which competitors are mentioned alongside it? What sources support those answers? And how often does the brand appear when users ask category-level questions?
Viral Nation’s AI Discovery framework is organized around five areas: Diagnostic, Foundation, Signal, Measurement and Integration.
The Diagnostic phase establishes a baseline using AI visibility measurements, prompt mapping, citation audits and competitor comparisons. Foundation then focuses on technical optimization, entity clarity and content structured to provide AI systems with understandable answers.
The Signal component is where Viral Nation’s social-first positioning becomes particularly relevant. It incorporates creators, communities, earned media and cultural activity into the broader effort to shape the information ecosystem surrounding a brand.
Measurement tracks indicators such as prompt visibility, share of mentions, AI referral traffic and pipeline. Integration connects those activities with a company’s existing digital and social strategy.
That structure is notably broader than simply generating pages around keywords.
Why Social Signals Matter to GEO
The emerging GEO market remains fluid, and there is an important distinction between what marketers can directly control and what AI systems ultimately use when generating responses.
Companies can make information on their own sites clearer. They can publish authoritative material, strengthen structured data and improve consistency across digital properties. They can also build the external signals that establish credibility around a brand.
But marketers cannot simply instruct an AI model to recommend a company.
That is why creator ecosystems, third-party coverage and community discussion are becoming part of the conversation around AI visibility. A brand repeatedly discussed by credible sources, creators and communities can present a richer external information footprint than one that relies exclusively on corporate content.
Viral Nation is positioning its existing social expertise as an advantage in that environment.
“We are helping brands shape how AI understands them,” Viral Nation co-founder Joe Gagliese said, arguing that content, creators, communities, authority and culture increasingly contribute to the signals AI systems learn from.
The approach also reflects a broader industry transition: brand reputation and search visibility are increasingly converging.
Viral Nation Tests the Model on Itself
Before introducing AI Discovery to external clients, Viral Nation says it spent approximately 18 months applying the methodology to its own business.
The company reports achieving 84% prompt visibility, a 52% share of voice in mentions, 256% growth in AI referral traffic and an additional $17 million in directly attributed pipeline.
Those figures are self-reported and should be viewed as company performance claims rather than independently audited evidence of GEO effectiveness. They nevertheless illustrate the metrics marketers are beginning to use as AI becomes another discovery channel.
The change is important because conventional SEO metrics do not necessarily capture visibility inside generated answers. Rankings, impressions and clicks remain useful, but brands may increasingly need to measure how often they are mentioned in AI responses, which competitors appear with them, which sources are cited and whether AI-driven referrals translate into commercial outcomes.
A New Layer of the Marketing Stack
Viral Nation is entering a market that includes SEO agencies, digital marketing platforms, content firms and emerging AI-search optimization specialists.
The competitive question will be whether GEO develops into a distinct discipline or becomes another layer within broader search and digital strategy.
For enterprise marketing teams, the practical answer may matter more than the terminology.
Organizations adopting GEO strategies will need technical teams to maintain accurate brand entities and structured content. Marketing teams will need to create material that answers specific customer questions. PR and communications teams can contribute third-party authority. Creator and community teams can influence conversations outside owned channels. Data teams will need to determine whether AI visibility is translating into qualified traffic and revenue.
That makes AI discovery inherently cross-functional.
The rise of platforms such as Google Gemini, Microsoft Copilot and OpenAI’s ChatGPT also means marketers are confronting an increasingly fragmented discovery environment. The mechanics of how different AI systems retrieve information, weigh sources and generate responses are not identical.
For brands, the goal therefore is unlikely to be optimizing for a single AI platform.
It is building a sufficiently clear, credible and distributed digital presence that multiple AI systems have enough reliable information to understand what the company does, who it serves and why it should be considered.
That is a considerably larger ambition than traditional SEO.
If AI-generated answers increasingly become the starting point for purchasing decisions, the next generation of brand visibility may be determined less by who owns the highest-ranking page and more by who has built the strongest information ecosystem around its brand.
Market Landscape
The GEO market is emerging at the intersection of SEO, enterprise AI, digital PR, social media, content marketing and brand intelligence.
The important competitive distinction is between technical optimization and broader authority building. Technical work can improve how machines interpret a company’s information, while external content, creator activity, media coverage and community conversations can contribute to the wider context surrounding the brand.
For enterprise marketers, the emerging AI discovery stack is likely to include:
- Entity optimization: Making a company’s identity, products and relationships unambiguous.
- Answer-ready content: Structuring information around the questions customers actually ask AI systems.
- Citation and source monitoring: Tracking which sources AI systems rely on when describing a brand.
- AI visibility measurement: Monitoring brand mentions, prompt coverage and competitive share of voice.
- Social and creator signals: Building credible third-party conversations around products and expertise.
- AI referral analytics: Measuring whether AI-generated recommendations produce meaningful traffic and pipeline.
- Reputation management: Correcting inaccurate, outdated or incomplete representations of a company.
This puts GEO closer to an enterprise-wide brand intelligence function than a conventional keyword-optimization exercise.
Top Insights
- Viral Nation’s AI Discovery targets AI-generated recommendations by combining GEO, technical optimization, social signals, creators, authority building and measurement for enterprise brands.
- AI-generated answers increasingly compress discovery into a shortlist, raising the stakes for brands that are missing, misrepresented or poorly categorized.
- The offering expands traditional SEO into a broader ecosystem strategy involving owned content, earned media, communities, creators and third-party validation.
- Viral Nation reports 84% prompt visibility and 256% AI referral growth from its internal testing, though the figures remain company-reported performance claims.
- Enterprise marketing teams may need coordinated SEO, PR, social, content, creator and analytics strategies as AI platforms become influential discovery channels.
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