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RFP Publication: June 25th, 2026
Offeror Questions Due: July 7th, 2026
Responses to Offeror Questions: July 10th, 2026
Proposal Submission: July 22nd, 2026
Anticipated Award Decision/Contract Negotiation: August 24th, 2026
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South Dakota State University
A public institution in South Dakota is seeking a comprehensive Large Language Model (LLM) search optimization tool or service designed to enhance institutional content discovery, summarization, and representation in AI-generated search and answer systems. The solution should build upon traditional and AI-powered search interfaces, generative AI assistants, and conversational tools to improve content visibility, provide measurable performance data, and deliver actionable, data-driven content recommendations.
The desired tool must support sustainable, non-technical workflows appropriate for public institutions, including content implementation, approval, and ownership. The solution should increase the likelihood that LLMs surface official sources, identify gaps and risks in content, and provide prioritized recommendations for content teams without SEO or AI expertise. Additional requirements include analysis of search intent, identification of underperforming or outdated content, AI-readiness scoring, and support for change management as institutions adopt new AI-driven practices. The approach must promote responsible use of AI and reduce manual optimization work over time, with a two-year contract period.
Analysis generated by Settle AI from the source RFP.
Settle pieces together buyer signals, budgets, contract activity, and the sources your team already monitors. See why an opportunity fits and what to do before the RFP posts.