SOEX: Explainable AI for Competitor Communications Analytics
In this demonstration, we present SOEX, an advanced AI system tailored for enhancing online marketing through the strategic use of large language models and predictive analytics.SOEX excels in analyzing vast amounts of online content data, enabling marketers to effectively plan and refine their strategies by extracting and utilizing key insights from competitor content and market trends.The system specializes in identifying content pillars-such as target audiences, consumer needs, and product features-and leveraging these pillars to generate detailed customer personas and narratives.By focusing on the initial stages of marketing, such as strategic planning and content pillar analysis, SOEX helps marketers understand and segment their audience more precisely.The system's ability to generate data-driven stories and personas from analyzed content enhances the planning phase of marketing campaigns, ensuring that strategies are both impactful and aligned with audience expectations.Our evaluations show that SOEX significantly aids marketers in navigating and interpreting complex data, leading to more informed decision-making and optimized marketing planning.
Authors
- Kirill Lepikhin
- Aleksandr Farseev (ORCID: https://orcid.org/0000-0001-9455-7771)
- Ilya Gosudarev (ORCID: https://orcid.org/0000-0003-4236-5991)
- Sergey Nikolenko (ORCID: https://orcid.org/0000-0001-7787-2251)
- Yu-Yi Chu-Farseeva (ORCID: https://orcid.org/0000-0002-5381-8055)
- Marlo Ongpin (ORCID: https://orcid.org/0009-0008-5407-0780)
- Dong‐Ling You
- Qi Yang (ORCID: https://orcid.org/0000-0002-5425-0932)
Institutions
- ITMO University (RU)
Publication Details
- Published
- 2025-05-08
- DOI
- https://doi.org/10.1145/3701716.3715198
- Primary Topic
- Generative Adversarial Networks and Image Synthesis
- Type
- article
- Field-Weighted Citation Impact
- 0.00