Large Language Model Search Optimization Tool

The agency is seeking a Large Language Model search optimization tool or service to improve how institutional content is discovered, summarized, referenced, and represented within AI-generated search and answer systems. The selected vendor must build upon this foundation to support LLM-driven discovery and generative AI answers across traditional search engines, AI-powered search interfaces, and conversational tools. This solution must provide measurable performance data and deliver actionable, data-driven content recommendations to increase the likelihood that LLMs surface official institutional sources. The project covers identifying gaps, risks, and outdated content affecting AI answers, while analyzing search intent and high-value topics. The tool must identify underperforming or unclear content, detect inaccurate, incomplete, or conflicting AI answers, and provide visibility into how institutional content is used and summarized by AI systems. Additionally, the service must provide AI-readiness scoring to measure how effectively content can be interpreted, summarized, and cited by LLMs. The agency requires support for sustainable, non-technical workflows appropriate for a public institution, including implementation, approval, and ownership of content. The vendor must provide change management support to help staff adopt new AI-driven practices and support content teams without search engine optimization or AI expertise. This initiative aims to align with institutional values regarding the responsible use of AI, reduce manual optimization work over time, and support continuous improvement as search and AI behaviors change. Bidders must be onshore organizations based solely in the United States. The performance of all work under this contract will take place offsite. The agency is looking for proposals to define the budget, and the resulting contract period will run for two years. Bidders must submit all questions no later than July 7, 2026. The agency will accept response submissions digitally via email or through an online portal. Evaluation of proposals will focus on the vendor's ability to deliver the requested technical capabilities, workflow support, and data-driven recommendations.