Tag: Generative AI

Generative AI refers to artificial intelligence systems capable of producing original content — including text, images, code, audio, and video — based on patterns learned from large training datasets. Large language models (LLMs) such as GPT-4, Claude, Gemini, and Llama are the most prominent examples, capable of drafting written content, answering complex questions, synthesizing research, and engaging in sustained conversation at a quality previously achievable only by human specialists.

The marketing implications are transformative. McKinsey's 2024 State of AI report found that 65% of organizations are now using generative AI in at least one business function — with marketing, sales, and customer operations among the top three applications. Generative AI accelerates content production, enables personalization at scale, powers conversational interfaces, and creates new competitive categories including AI-native marketing agents and AI-generated search experiences that are reshaping how buyers discover information.

Mabbly has positioned generative AI as a core capability through its AI Agents as a Service (AaaS) practice — deploying generative AI within structured marketing workflows that enable client teams to execute at higher velocity without sacrificing strategic quality. The agency also works with clients to develop Generative Engine Optimization (GEO) strategies that optimize their content for citation by generative AI systems in search environments like ChatGPT Browse, Perplexity, and Google AI Overviews.

This tag page collects Mabbly's original thinking on generative AI — from practical implementation guides for marketing teams to strategic perspectives on the long-term implications of AI for brand, content, demand generation, and the future of search. Whether evaluating a first AI implementation or scaling an existing practice, start here.