Semantic Endurance
Staying Visible in AI Memory
The ability to stay visible and remembered inside AI systems
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.
How is this different from SEO?
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.
How long does it take to see results?
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.
Can I do this myself?
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™.
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
