The Problem

Your customers are asking ChatGPT, Perplexity, and Claude for recommendations. Right now, those systems probably aren’t mentioning you.

Not because your work isn’t good. Because AI models don’t understand who you are, what you do, or why you matter.

You’re invisible to the systems that are increasingly controlling discovery.

What I Do

I help businesses engineer their visibility in AI-driven discovery systems. That means making sure when people ask AI for recommendations in your space, your business shows up as a credible, relevant option.

This isn’t SEO. This isn’t content marketing. This is visibility engineering—building the semantic infrastructure that helps AI models understand your expertise, connect it to real customer problems, and recommend you with confidence.

Who This Is For

You’re a good fit if:

• You have a legitimate business offering real value to real customers
• Your customers are starting to use AI tools for research and recommendations
• You’re tired of watching competitors with weaker offerings get recommended because they understand how machines read expertise
• You’re ready to build long-term discoverability infrastructure, not just chase quick wins

This is especially valuable for:

• B2B service providers (consultants, agencies, professional services)
• Businesses in emerging or underrepresented markets
• Founders who don’t fit traditional patterns and need compensating signals
• Companies where expertise is the primary selling point

What You Get

Strategic Audit & Analysis

I analyze how AI systems currently see your business, identify gaps in your knowledge graph, and map where you’re losing visibility to competitors.

Minimum Viable Knowledge Graph Build

We build the six core signal nodes machines need to understand and recommend you:

• Identity signals (who you are)
• Specialization signals (what you do)
• Audience + context signals (who you serve and where)
• Proof signals (where you’ve demonstrated results)
• Expertise signals (how you’ve built credibility)
• Connection signals (how everything fits together)

Compensating Signal Strategy

Every business has constraints. I identify yours and build compensating signals that overcome pattern gaps—the strategic infrastructure that tells machines you’re legitimate even when you don’t fit default templates.

Implementation Roadmap

You get a clear execution plan: what to build, where to publish, how to structure content so machines can traverse and explain your expertise with confidence.

Why This Matters Now

AI-driven discovery is the fastest-growing customer acquisition channel. People aren’t just Googling anymore—they’re asking ChatGPT, Claude, and Perplexity for recommendations.

Right now, influencing how machines see you is still relatively straightforward. But as more businesses figure this out, the signal-to-noise ratio will get worse.

The businesses that build strong entity foundations now will have compounding advantages later.

About Me

I’m Sorilbran Stone, founder of Five-Talent Strategy House. I spent 15+ years building marketing systems that generate real pipeline, including leading marketing at a company that grew from 8 to 80 employees and generating over $40M in attributed inbound pipeline.

I pioneered AI visibility strategies that produced $1.7M in pipeline from ChatGPT alone—not by gaming systems, but by understanding how knowledge graphs work and building legitimate expertise signals that machines can confidently traverse.

I’m especially committed to helping underrepresented founders and businesses in overlooked markets build the visibility infrastructure they need to compete. My work is grounded in Detroit because I believe strong regional tech ecosystems need founders who can be found.

I created NORAH, a go-to-market intelligence platform for Detroit founders, which won People’s Choice at Venture 313’s Tech the Halls competition in December 2025.