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  5. AI Wayfinding, explained simply

AI Wayfinding, explained simply

A short introduction for UAMS staff, content editors, and web stewards. This explains what AI Wayfinding is, and who to ask, without any jargon.

The idea

You have probably asked ChatGPT or Gemini a question recently. If you asked it about UAMS, it had to figure out what UAMS is and which part of our website had the right answer. It usually guessed.

AI Wayfinding is a set of small files we put on our websites so the AI does not have to guess. The files say: this site is the Cancer Institute, it covers these topics, and if someone asks about something else, here is where to send them.

Our hospitals use painted floor lines, color-coded signs, and front-desk staff so patients find the right department. AI Wayfinding does the same thing for our websites, for a new kind of visitor: automated tools.

How it works: three small files

Every UAMS web property carries three small text files that tell AI tools what the site is, what it covers, and where to send users for the right next step.

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The gatekeeper: robots.txt

The security desk that decides which AI tools are allowed to read each section of a site.

Answer Engine Optimization, AEO, AI Artificial Intelligence Marketing Machine Learning Technology, Search Engine, Ranking

The handshake: llms.txt

A short, AI-readable summary that introduces the site and points to the most important content for answering questions.

Zero-Click Search and AI Driven Answers. A professional taps a virtual Zero-Click Search interface. AI powered instant answers, automation, smart data processing and seamless digital interaction.

The directory: llms-full.txt

A deeper content index that tells AI tools how to route questions, what to cite, and when to redirect users to a more appropriate UAMS site.

200+ UAMS web properties

This work applies to every public-facing UAMS website under Web Services governance, from uamshealth.com to individual college and department sites. The scale is the point. A patient asking about UAMS could land on any of them, and AI tools need a consistent way to understand each one.

What is expected of you

Probably nothing, today. The Wayfinding files are maintained by Web Services. As a content editor or department web steward, you will not write or edit them directly.

What does matter: when your department’s scope changes, when you launch a new program, or when a provider joins or leaves, let Web Services know. That information needs to be reflected in our pages, and by extension in the files that tell AI tools what we cover.

You may also hear a few terms in passing. The triad is the three files treated as a group. The pillar is a major UAMS website like medicine.uams.edu or cancer.uams.edu; your department probably lives under one. The plugin is the software inside our website platform that manages the files; super admins use it, content editors do not touch it.

Three scenarios you might run into

You notice AI is wrong

You asked ChatGPT about UAMS and it gave a confident, inaccurate answer. Forward the question and answer to Web Services.

Contact Web Services

Your program changes scope

Your department adds a new service line, discontinues a program, or launches a new center. Let Web Services know before or at launch.

Contact Web Services

Someone asks about AI strategy

Leadership or a peer asks what UAMS is doing about AI representation. Point them to Web Services or share this page.

Contact Web Services

See also

Other pages and posts in the AI Wayfinding series.

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AI Wayfinding at UAMS (hub)

The main landing page for AI Wayfinding at UAMS, with links to everything in one place.

Visit the hub
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The strategic view

Why UAMS is investing in AI Wayfinding, what it costs, and what leadership may be asked about it.

Read the strategic view
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Inside the file triad: a technical deep-dive

A longer narrative walkthrough of how the three files work together, with examples from UAMS properties.

Read the deep-dive

Questions about AI Wayfinding?

Web Services maintains the files and the governance model. Reach out with questions, to report an AI answer that looks wrong, or if your department’s scope is changing.

Contact Web Services
University of Arkansas for Medical Sciences LogoUniversity of Arkansas for Medical SciencesUniversity of Arkansas for Medical Sciences
Mailing Address: 4301 West Markham Street, Little Rock, AR 72205
Phone: (501) 686-7000
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