Marketing Keywords Exploration via LLMs with Domain Expertise

BULUT A.

IEEE Access, 2026 (SCI-Expanded, Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Basım Tarihi: 2026
  • Doi Numarası: 10.1109/access.2026.3659535
  • Dergi Adı: IEEE Access
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, INSPEC, Directory of Open Access Journals
  • Anahtar Kelimeler: agentic artificial intelligence, large language models, search engine marketing
  • Acıbadem Mehmet Ali Aydınlar Üniversitesi Adresli: Evet

Özet

We demonstrated how to explore the space of search marketing keywords using LLMs with the help of tool support. These external tools represent the domain expertise and the use of proprietary performance data. The LLM consults the tools provided when necessary in order to generate keywords that are expected to get user attention. We investigated whether the linguistic expressiveness of an LLM when combined with valid purchase intents provided by human marketers as few shots in a prompt would result in discovering new prospective keywords. We conducted an empirical study on two different domains: (1) the healthcare domain and (2) the online learning domain. The LLM agent was able to explore a viable set of keywords, which was validated quantitatively by the number of user impressions, clicks and conversions the generated keywords were expected to receive.