TBFA
AI Identity

Engineering Your AI Identity

The New Visibility Imperative

  • November 20, 2025
  • 8 min read
Definition
AI Identity Engineering is the discipline of deliberately shaping how artificial intelligence systems perceive, interpret, and represent your business or expertise through structured semantic architecture, authoritative content, and machine-readable identity surfaces.
"If AI doesn’t understand you, you don’t exist."
— Curtiss Witt, Founder of The Black Friday Agency

The Invisible Crisis

Right now, AI systems are forming opinions about your business based on incomplete, fragmented, or entirely hallucinated data. They’re making assumptions about who you are, what you do, and where you fit in the market—without your input.

The modern web has collapsed into the Answer Economy. Users don’t browse anymore—they ask. AI doesn’t list links—it synthesizes answers. If AI doesn’t understand you correctly, you’ve become invisible to the future of search and discovery.

What It Means to You

In 2025, the question isn’t “How do I rank on Google?” It’s “How does AI describe me when someone asks?”

AI Identity Engineering solves this by reconstructing your identity at the machine cognition level. Through Betweener Engineering™, we:

  • Identify how AI currently perceives you (often incorrectly)
  • Engineer a Category-of-One identity AI cannot ignore
  • Build semantic endurance so AI remembers you permanently
  • Create authority signals that make AI cite you by default

5 Action Steps to Start

1. Run an AI Perception Audit

Ask ChatGPT, Claude, and Perplexity to describe your business. Document the gaps.

2. Identify Your Domain A

What authoritative standards, regulations, or science ground your work?

3. Extract Your Domain B

What unique philosophy, method, or tacit knowledge defines your approach?

4. Create Your Fusion Node

Combine Domain A + Domain B into a named category only you can claim.

5. Build Identity Surfaces

Create structured definitions, frameworks, and schema that AI can ingest.

Frequently Asked Questions

What is AI identity engineering?
AI identity engineering is the practice of deliberately shaping how AI systems perceive, understand, and represent your business or expertise through structured data, semantic architecture, and authoritative content.
SEO optimizes for page rankings on search engines. AI identity engineering rebuilds your entire machine identity so AI systems understand who you are, what you do, and why you’re authoritative—not just which pages to rank.
Initial AI recognition typically appears within 4-8 weeks. Full Category-of-One establishment through the 8-Step Betweener OS takes 8-12 weeks depending on industry complexity.
While some aspects are DIY-friendly, Betweener Engineering™ requires deep expertise in domain fusion, semantic architecture, and AI perception analysis. Most businesses benefit from professional guidance.

Ready to Engineer Your AI Identity?

Work with The Black Friday Agency to create your Category of One through Betweener Engineering™.
Work With TBFA

Author: Curtiss Witt | The Black Friday Agency

Continue Reading

Creating a Category of One
Why AI prefers original categories
Semantic Endurance Explained
Building long-term AI memory