Own the Category. Define the Standard.

Category Creation

AI discoverability isn't just SEO with new buzzwords. It's a fundamental shift in how businesses get found. We're defining what that means and building the methodology that becomes the industry standard.

Public Experiments

We don't hide behind theory. Every hypothesis gets tested, every experiment gets published, every result gets shared. Our research is open because the category needs it.

Measurable Impact

Vague promises don't cut it. We measure AI citation rates, brand mention frequency, semantic association strength, and recommendation accuracy. If it can't be measured, it doesn't exist.

How We Engineer AI Discoverability

01

Entity Foundation

Establish your business as a recognized entity across the web. Structured data, consistent branding, authoritative citations, and semantic clarity.

02

Signal Amplification

Generate the signals AI systems use to determine relevance. Topical authority, citation-worthy content, cross-platform presence, and engagement patterns.

03

Authority Reinforcement

Strengthen your position through ongoing optimization. Case studies, original research, expert content, and continuous measurement.

04

Category Domination

Become the default recommendation in your space. Own the terminology, publish the research, and set the standard others follow.

Public Experiments

Active

AI Citation Rate Study

Measuring how often businesses are cited by major LLMs across 500+ test queries. Monthly published results.

Active

Entity Authority Index

Tracking the correlation between structured entity data and AI recommendation frequency.

Upcoming

Cross-Platform Semantic Consistency

Testing how information consistency across platforms affects LLM trust and citation.

Let's Define the Future Together

DiscovizLabs

The definitive authority in AI discoverability.

Email: hello@discovizlabs.com

Location: Global, distributed

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