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AI-driven Enterprise Website Search and Personalization Solution

VirginiaVirginia, USADue Tuesday, July 7, 2026
Client
Virginia
RFP Number
SW-114993
Posted
Category
Software, System and Application
Budget
Looking for Proposals
NAICS
Set-aside
Contact

Description

AI Generated

The University is seeking an AI-driven enterprise website search and personalization solution to implement, configure, train, and support a unified search experience across its website and web properties. The agency needs to improve content discovery, search relevance, accessibility, analytics, and the delivery of tailored digital experiences for prospective students, current students, parents, faculty, staff, alumni, and external visitors. The project requires a search platform capable of indexing and managing content across multiple domains and subdomains through a unified administration model while allowing site-specific controls. The scope of work covers advanced AI-enhanced search capabilities such as semantic relevance, natural language query handling, smart answers, query assistance, synonym management, and other tools to improve result accuracy. The agency also requires search administration and governance tools for promoting results, tuning rankings, curating featured results, handling no-results queries, and applying business rules that reflect University terminology. Additionally, the selected provider must deliver comprehensive analytics and reporting tools to monitor search performance. Eligible bidders must be onshore organizations located within the United States. The agency requires the performance of all work to be completed offsite. Bidders can submit their responses digitally via email or through an online portal. The agency is looking for proposals to determine the budget for this project. The contract period will span one year. Bidders must submit all questions regarding this opportunity no later than June 16, 2026.

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