South Dakota Posting Board #26RFP-SDSU06252026

SDSU Solicits LLM Search Optimization Solution for Institutional Content

South Dakota State University (SDSU) is seeking proposals for a Large Language Model (LLM) search optimization solution to improve how institutional content is discovered and represented in AI-generated search and answer systems. - Government Buyer: - South Dakota State University (SDSU) - University Marketing and Communications - SDSU Purchasing Office - Products/Services Requested: - LLM Search Optimization Tool or Service - Enhance discoverability, summarization, referencing, and representation of institutional content in AI-generated search/answer systems - Must support foundational SEO and build upon it for LLM-driven discovery (Generative Engine Optimization/Answer Engine Optimization) - Provide measurable performance analytics and content gap analysis - Deliver actionable, data-driven content recommendations - Support sustainable, non-technical governance workflows - Integrate with Drupal CMS - Meet technical, privacy, and security requirements, including U.S.-only data residency - Contract Details: - Initial term: 2 years - Option to renew for up to three additional one-year periods - Annual contract value capped at $80,000 - No specific OEMs or vendors are named in the solicitation - Notable Requirements: - Solution must be suitable for a public institution - Emphasis on measurable results and sustainable, non-technical workflows - Compliance with U.S. data residency and integration with existing CMS (Drupal)

Description

South Dakota State University (SDSU) is requesting proposals for a Large Language Model (LLM) search optimization tool or service. The solution should improve how institutional content is discovered, summarized, referenced, and represented within AI-generated search and answer systems. The selected solution must treat traditional search engine optimization (SEO) as a baseline, support LLM-driven discovery and generative AI answers, provide measurable performance data, deliver actionable content recommendations, and support sustainable, non-technical workflows suitable for a public institution.

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