University of Richmond · School of Professional & Continuing Studies · AISEO.226

Building Brand Authority in an AI-Driven Search World

A four-session, 16-hour course for professionals who want to become the brand AI answers name — taught on the University of Richmond campus.

Watch the course testimonial. Jared Waters, Marketing Director at Warren Whitney, sits down with Will Melton to talk through what he actually took away from AISEO.226.
AISEO.226 4 sessions · 16 hours On UofR campus 8:30am–12:30pm each session

Instructor

Will Melton

CEO of Xponent21 · Global AI SEO Expert · AI Keynote Speaker

Will has spent the last several years researching how AI-driven search systems decide which brands to recommend — work that underpins Xponent21's AI visibility practice and has been cited in keynotes, client engagements, and the CARL dataset. He teaches the same material he uses with boards and executive teams, adapted for professionals ready to build authority in public.

Session breakdown

What we'll cover.

01

The New Search Landscape

How ChatGPT, Google AI Overviews, Perplexity, and Gemini change what 'being found' means — and why brand authority is now the central ranking signal.

02

E-E-A-T & Content Strategy

Experience, expertise, authoritativeness, and trust translated into a practical content model: what to publish, where, and how often so AI systems read you as credible.

03

Building Your Authority Engine

Turn speeches, case studies, bylines, and video into a system that feeds search indexes and AI training data — without becoming a full-time content operation.

04

Measuring & Scaling Authority

What to track when rankings are no longer the whole story: AI answer visibility, citation share, branded query lift, and the operational cadence that keeps it working.

Format

On campus, hands-on, and designed around a real work schedule.

  • 4 morning sessions, 8:30am–12:30pm
  • 16 total hours of instruction and workshop time
  • Held on the University of Richmond campus
  • Built for working professionals, not full-time students

How this course is different

Practical, peer-driven, and grounded in real AI-search data.

  • Practical — every session is built around what you can publish, change, or measure next week.
  • Research-backed — grounded in the CARL dataset and real AI-search behavior, not trends or speculation.
  • Peer-driven — discussions, workshopping, and shared case work, not lecture-only delivery.
  • Not theory, not pass/fail, and not one-size-fits-all — the course meets working professionals where they are.

Registration

Ready to enroll?

The official registration, payment, and session details are handled directly by the University of Richmond. Questions before you register? Email wmelton@xponent21.com.