Bob Michaels/ai

Fractional AI Visibility Director & AI Systems Architect

I rebuild how your company shows up on the web and in AI.

I combine content strategy, web architecture, competitive AI-visibility research, and custom systems to turn a fragmented digital presence into an operating platform that earns attention, citations, recommendations, and business.

Architect of the Trinzik platform · U.S. security patent · HUD Best Known Practice · 40+ universities

Bob Michaels
Bob MichaelsAustin, TX

Higher education clients served

Texas A&M UniversityThe University of Texas at San AntonioEmory University, Goizueta Business SchoolEmory University School of MedicineUC Irvine, Graduate DivisionUC Irvine, Office of ResearchBerkeley CollegeNorthwestern University in QatarHofstra UniversityLos Alamos National LaboratoryCalifornia State University, ChicoTexas A&M College of EngineeringTexas A&M Health Science CenterTexas A&M College of DentistryTexas A&M University–Corpus ChristiTexas A&M University at GalvestonTexas A&M University–San AntonioTexas A&M University–Central TexasWest Texas A&M UniversityTarleton State UniversityWalsh UniversityDallas Baptist UniversityUniversity of IndianapolisLinfield UniversitySt. Thomas UniversityLaredo CollegeHill CollegeNortheast Mississippi Community CollegeSouthwest Texas Junior CollegeColumbia State Community CollegeOdessa CollegeLee CollegeNorth Central Texas CollegeCarl Sandburg CollegeMcHenry County CollegeMcLennan Community CollegeOrange Coast CollegeGolden West CollegeSeminole State College

Recent proof

Current AI systems I built, and three decades of delivery behind them.

Architect of Trinzik's five-platform Research Engine

Agentic websites with editorial approvals

Compliance-grade, cited, auditable on-site chat

Locked-benchmark AI-visibility methodology

This site is a live agentic system, ask its agent

Built by Bob as Trinzik’s technical architect. Any client results are Trinzik engagements delivered on the platform. Behind the AI work: Dell, Compaq, and Tivoli systems, the federal HUD Best Known Practice, 40+ university platforms, and U.S. Patent 7,373,346.

Human-directed, AI-accelerated

Human-directed, AI-accelerated. I manage every step. Nothing is vibe-coded, and nothing ships on a prompt and a hope. AI is my development partner, I review everything it and its sub-agents produce, and I built the interface I work in so I can see the work and approve every change as it happens. That discipline is what makes the output production-grade instead of AI slop, and it is why one person moves this fast.

The operating loop

An operating system, not a one-time audit.

The work is a system you can keep running, not a report that ages out. Every cycle is measured, decided by a person, built, shipped under approval, and retested against a locked benchmark.

01

Measure

Five-platform Research Engine and a locked prompt library read how AI describes, cites, and recommends you.

02

Decide

The evidence sets strategy and prioritized, testable actions. A person decides what matters.

03

Build

Website, editorial, or custom system work closes the gaps the measurement exposed.

04

Publish / Deploy

Nothing ships without human approval. Every change has an owner and an audit trail.

05

Verify

A locked retest scores what actually moved and ties it back to revenue rather than a vanity metric.

06

Improve

What was learned folds back into the system, so the next cycle starts smarter.

Find out what AI and your customers are missing.

Start with a head-to-head read of how the AI models describe, cite, and recommend you against your real competitors. The fastest way to scope it is the agent, or reach me directly.