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@article{189707,
        author = {Mr. Vaivaw Kumar Singh and Dr. Kunal Sinha},
        title = {Generative Engine Optimization (GEO): Crafting Content for AI-First Search Interfaces},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {8},
        pages = {21-28},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=189707},
        abstract = {The fast development of AI, powered search technologies is changing the way users find information and thus greatly affects the need for rethinking traditional Search Engine Optimization (SEO) methods. The current research conceptualizes the idea of Generative Engine Optimization (GEO), a new approach to creating digital content aimed at AI, first search interfaces, for example, ChatGPT, Gemini, and Google AI Overviews. In contrast to the typical SEO, which is concerned with the ranking of a webpage in the search engine results pages, GEO is about a source’s being chosen, cited, and synthesized by generative search systems that employ large language models (LLMs) (Aggarwal et al., 2023; Search Engine Journal, 2024).
By combining the most recent academic and industry research, the article specifies that content equipped with structured data, authentic citations, and made user, friendly in terms of language can be up to 30, 40% more visible in generative search results than by the traditional methods (Seer Interactive, 2024; Aggarwal et al., 2023). The paper also addresses the issues of the research methods used, such as the hidden operations of generative models and the effects of zero, click search results on digital marketers, apart from the content optimization strategies. The results of adopting GEO guidelines, which are based on trust, entity clarity, and machine, readable semantics, are said to be able to make content not only more discoverable but also more credible in the newly formed AI, first web ecosystem.},
        keywords = {Generative Engine Optimization (GEO); AI-first search; content visibility; generative search; large language models (LLMs); SEO evolution.},
        month = {December},
        }