The Structure of
Meaning in
Human–AI
Interaction
AI systems are building models of your brand, your expertise, and your intent — right now, without your input. QIQ is the discipline of making sure they get it right.
"The gap between who you are and how AI perceives you is not a technical problem. It is a meaning problem."
QIQ exists at the intersection of human psychology, AI architecture, and brand philosophy. The Phynom Protocol is our framework for closing the distance between declared intent and latent reality — in AI systems, in organisations, and in people.
AI has an opinion
about you. Do you
know what it is?
Every time someone asks ChatGPT, Claude, Grok, or any AI system about your industry, your name, or your category — that system draws on a latent model it has already built. You had no input into that model.
Latent Space Optimisation (LSO) is the practice of intentionally shaping that model. Not through manipulation — but through semantic coherence, signal alignment, and consistent intent.
It is to AI what SEO was to search engines — except the stakes are higher, the signals are subtler, and most brands are completely unaware it's happening.
Read the Full FrameworkA framework for
aligned intelligence
Phynom — from phenomenon and noumenon — is QIQ's core methodology for mapping and closing the gap between how a brand intends to be understood and how it is actually perceived in AI's latent space.
It operates across three dimensions: measurement, positioning, and stewardship. Together they form a continuous cycle of alignment — not a one-time fix.
The Perception Audit
We interrogate AI systems using structured Phynom queries to map your current latent position — how AI describes you, clusters you, and associates you with other entities. This is your baseline.
The Intent Alignment
We compare your Declared Intent Vector (DIV) against your Observed Latent Vector (OLV) to calculate your alignment gap. Then we build the TAG Schema and signal architecture to close it.
The Latent Maintenance
AI models update. New content is ingested. Competitors shift. Latent Stewardship is the ongoing practice of maintaining your position — monitoring, adjusting, and reinforcing alignment over time.
What AI says about
you when you're
not in the room
When a potential client asks an AI assistant about your field, your name comes up — or it doesn't. When it does, the description AI gives shapes that client's first impression before they ever reach your website.
Most brands discover this gap accidentally — when a client mentions something odd that an AI told them, or when a competitor starts being recommended over them in AI responses.
The AI Perception Report™ makes this visible in five days. The AI Alignment Audit™ gives you the roadmap to fix it.
See Measurement ProductsWhere would you like to start?
Thinking on Human–AI alignment
Why Your Brand Exists in AI's Mind Before You've Said a Word
AI systems form latent representations of every entity they encounter during training. Most brands have no idea what their representation looks like — or whether it serves them.
The Meaning Gap: Declared Intent vs. Latent Reality
How LinkedIn's AI Decides Who Gets Recommended
AI Perception Prompt Pack
10 prompts to run a basic self-audit across ChatGPT and Claude. Free download.
Download →LSO Beginner's Guide
A plain-language introduction to Latent Space Optimisation and why it matters now.
Read →DIY AI Perception Toolkit
Self-guided audit toolkit — 50 prompts, gap scoring, TAG starter pack. From $97.
View Toolkit →Phynom Protocol Overview
The complete framework document — measurement, positioning, stewardship. Free PDF.
Get PDF →
About
- Home
- About
- Services
- Contact
Explore
Get In Touch
- House Hygge 18 Albatross Road, Pringle Bay
- hello@qiq.co.za
- +27 82-770-8849
The Structure of
Meaning in
Human–AI
Interaction
AI systems are building models of your brand, your expertise, and your intent — right now, without your input. QIQ is the discipline of making sure they get it right.
"The gap between who you are and how AI perceives you is not a technical problem. It is a meaning problem."
QIQ exists at the intersection of human psychology, AI architecture, and brand philosophy. The Phynom Protocol is our framework for closing the distance between declared intent and latent reality — in AI systems, in organisations, and in people.
AI has an opinion
about you. Do you
know what it is?
Every time someone asks ChatGPT, Claude, Grok, or any AI system about your industry, your name, or your category — that system draws on a latent model it has already built. You had no input into that model.
Latent Space Optimisation (LSO) is the practice of intentionally shaping that model. Not through manipulation — but through semantic coherence, signal alignment, and consistent intent.
It is to AI what SEO was to search engines — except the stakes are higher, the signals are subtler, and most brands are completely unaware it's happening.
Read the Full FrameworkA framework for
aligned intelligence
Phynom — from phenomenon and noumenon — is QIQ's core methodology for mapping and closing the gap between how a brand intends to be understood and how it is actually perceived in AI's latent space.
It operates across three dimensions: measurement, positioning, and stewardship. Together they form a continuous cycle of alignment — not a one-time fix.
The Perception Audit
We interrogate AI systems using structured Phynom queries to map your current latent position — how AI describes you, clusters you, and associates you with other entities. This is your baseline.
The Intent Alignment
We compare your Declared Intent Vector (DIV) against your Observed Latent Vector (OLV) to calculate your alignment gap. Then we build the TAG Schema and signal architecture to close it.
The Latent Maintenance
AI models update. New content is ingested. Competitors shift. Latent Stewardship is the ongoing practice of maintaining your position — monitoring, adjusting, and reinforcing alignment over time.
What AI says about
you when you're
not in the room
When a potential client asks an AI assistant about your field, your name comes up — or it doesn't. When it does, the description AI gives shapes that client's first impression before they ever reach your website.
Most brands discover this gap accidentally — when a client mentions something odd that an AI told them, or when a competitor starts being recommended over them in AI responses.
The AI Perception Report™ makes this visible in five days. The AI Alignment Audit™ gives you the roadmap to fix it.
See Measurement ProductsWhere would you like to start?
Thinking on Human–AI alignment
Why Your Brand Exists in AI's Mind Before You've Said a Word
AI systems form latent representations of every entity they encounter during training. Most brands have no idea what their representation looks like — or whether it serves them.
The Meaning Gap: Declared Intent vs. Latent Reality
How LinkedIn's AI Decides Who Gets Recommended
AI Perception Prompt Pack
10 prompts to run a basic self-audit across ChatGPT and Claude. Free download.
Download →LSO Beginner's Guide
A plain-language introduction to Latent Space Optimisation and why it matters now.
Read →DIY AI Perception Toolkit
Self-guided audit toolkit — 50 prompts, gap scoring, TAG starter pack. From $97.
View Toolkit →Phynom Protocol Overview
The complete framework document — measurement, positioning, stewardship. Free PDF.
Get PDF →About
- Home
- About
- Services
- Contact
Explore
Get In Touch
- House Hygge 18 Albatross Road, Pringle Bay
- hello@qiq.co.za
- +27 82-770-8849