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South Dakota State Government·South Dakota

SDSU Large Language Model (LLM) Search Optimization

Closes 7/22/2026$120k – $160kRequest for Proposal
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Description

South Dakota State University seeks a vendor‑provided solution to improve discovery, summarization, and citation of its public web content by large language models (LLMs) and generative AI. The scope includes foundational SEO auditing, ongoing LLM‑specific visibility monitoring, actionable content recommendations, and integration with the university’s Drupal 10 CMS while meeting rigorous security, data‑residency, and accessibility standards. The contract is a single‑vendor, SaaS‑or‑service engagement with a maximum annual spend of $80 k and an initial two‑year term (renewable up to three additional one‑year periods). • Baseline SEO audit and continuous monitoring for ~9,000 public pages on sdstate.edu. • LLM‑driven search optimization: track citations and answer quality across multiple AI platforms (ChatGPT, Gemini, Copilot, Claude, etc.). • Deliver monthly/quarter‑ly dashboards, peer‑benchmarking reports, zero‑click analytics, and plain‑language content‑improvement recommendations; all integrated via API with Drupal 10 and supporting SAML‑based SSO.

Attached files

The solicitation documents live at the source — open the bid source above to download them.

Contact

Karen Bravek(Purchasing Manager)

[email protected]

Key dates

Opened
6/25/2026
Questions due
6/25/2026
Closes
7/22/2026
Projected award
8/24/2026
Duration
2 years

Last updated

Details

Type
Request for Proposal
Industry
Information Technology and Software Development
NAICS
541511
Solicitation №
26RFP-SDSU06252026

Budget estimate

$120,000 – $160,000

The RFP caps annual spend at $80,000, with an initial two‑year term, giving a maximum contract value of $160,000. Assuming modest implementation costs and potential optional services, a realistic range is roughly $120,000–$160,000 over the contract life. Factors influencing the range include the chosen pricing model (subscription vs. services), any additional professional‑service add‑ons, and the inclusion of optional renewals.

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