A LinkedIn post from Markup AI highlights growing investor interest in how generative AI is reshaping online discovery and search economics. According to the post, traditional SEO may be insufficient for visibility in AI chatbots and generative search, with new practices such as AI Engine Optimization (AEO) and Generative Engine Optimization (GEO) emerging as potential competitive levers.
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The post promotes a May 27 educational session co-hosted with Previsible that aims to explain the mechanics of AI search and how to structure content to be more extractable, authoritative, and easily cited by AI models. For investors, this focus suggests Markup AI is positioning itself as an enabler of marketing and search performance in an AI-first environment, which could support demand for its tools and services if enterprises increasingly prioritize AI-era discoverability.
By emphasizing the risk of losing AI citations to competitors, the post implies a nascent but potentially significant market for optimization around generative search outcomes. If Markup AI can establish expertise and solutions in AEO and GEO as these practices mature, it could benefit from higher-value, recurring advisory or software revenue and deepen its relevance within the broader SEO and martech ecosystem.
The collaboration with Previsible also indicates a partnership-driven approach to market education and lead generation, which may help extend Markup AI’s reach among marketing and growth teams. While the post is primarily promotional, it underscores a strategic bet on AI-native search optimization that, if successful, could enhance the company’s positioning as search budgets shift toward generative and conversational interfaces.