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\n New GEO capability finds the third-party conversations AI engines trust and gives brands a direct way to act on them, in real time.<\/p>\n
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\n New GEO capability finds the third-party conversations AI engines trust and gives brands a direct way to act on them, in real time.<\/p>\n
FancyAI,<\/a> the execution layer for AI discovery, today launched Agentic Social Engagement, a new capability that identifies the third-party conversations shaping how AI engines understand and recommend brands.<\/p>\n Teams can assess and join those conversations directly inside FancyAI, then measure how their AI visibility changes.<\/p>\n When someone asks ChatGPT, Gemini, Perplexity or Claude what to buy, the answer often draws on sources the brand doesn\u2019t control. Independent reviews, Reddit threads, YouTube videos, Quora answers and other public discussions can all influence which brands make the shortlist.<\/p>\n The scale of that influence is significant. A recent study of more than 200 million prompts found that Reddit appeared in 20% or more of Perplexity responses at points during January and February 2026.<\/p>\n Also Read:\u00a0AiThority Interview with Gou Rao, co-founder and CEO at NeuBird AI<\/a><\/p>\n No amount of on-site optimization reaches those conversations.<\/p>\n Until now, most Generative Engine Optimization work has centered on the content a brand publishes and the authority it earns through media. Agentic Social Engagement extends that work to the live, third-party conversations AI engines use as evidence.<\/p>\n \u201cAI doesn\u2019t rank pages. It recommends brands, and it builds those recommendations from what other people say about you,\u201d said Tom Howell, co-founder and CEO of FancyAI. \u201cYou can perfect every page you own and still lose a shortlist that\u2019s being decided somewhere else. Agentic Social Engagement puts your team in those conversations.\u201d<\/p>\n Traditional social listening starts with keywords and ends with a feed of mentions. FancyAI\u2019s Agentic Social Engagement works differently. An AI agent reads each conversation in context, assesses its relevance to the business and determines whether it deserves attention.<\/p>\n A prospective customer may be asking for a recommendation. A competitor may be winning the discussion. A reputation issue may be emerging. A category trend may be taking shape. The agent cuts through the noise and shows teams what matters.<\/p>\n Each prioritized conversation appears inside FancyAI alongside recommendation intelligence, visibility tracking, citation building and content execution. Teams can see whether AI engines already cite the underlying page and respond without leaving the platform. The right move might be direct engagement, a factual correction, an earned mention, a new piece of content or no action at all.<\/p>\n FancyAI then measures what changed.<\/p>\n \u201cListening tools tell you a conversation happened. We tell you where the decision is taking shape,\u201d Howell said. \u201cThe agent finds the signal and gives the team a direct path to act. Discovery is no longer about being seen. It\u2019s about being selected.\u201d<\/p>\n Agentic Social Engagement is available this week to current FancyAI customers and as an add-on for new customers. Teams can operate the capability themselves or have FancyAI\u2019s strategists run it for them.<\/p>\n Also Read:\u00a0\u200b\u200b<\/a>AI and The Future of Work: Artificial Intelligence Is Expanding Organizational Intelligence Beyond Human Limits<\/a><\/p>\n