Building the first operating system for AI visibility. Orchestrating paid, owned, and earned signals so brands control how they appear inside generative AI.
Justin Inman is the Founder and CEO of Emberos, the first operating system built to orchestrate paid, owned, and earned signals for AI visibility. He works at the intersection of brand strategy, AI systems, and predictive analytics, helping companies understand and influence how they appear inside generative AI platforms.
Justin's work focuses on a fundamental shift in digital discovery: consumers are no longer just clicking links — they are asking AI systems for answers. As a result, brand visibility is no longer determined solely by search rankings, but by how often and how accurately a brand appears in AI-generated responses.
Through Emberos, Justin introduced the concept of Share-of-Prompt, a new metric designed to measure how frequently a brand appears in AI answers relative to competitors. His work demonstrates how AI visibility can be directly tied to revenue forecasting, product demand prediction, and measurable business outcomes.
Under his leadership, Emberos has raised $2.2 million in funding and has been featured in leading industry publications including Adweek, Forbes, and national media outlets discussing AI's influence on commerce, advertising, and consumer behavior.
The first operating system built to orchestrate paid, owned, and earned signals for AI visibility.
Emberos helps brands understand and influence how they appear inside generative AI platforms — from ChatGPT to Perplexity to Google AI Overviews.
The platform introduced Share-of-Prompt, a new metric designed to measure how frequently a brand appears in AI answers relative to competitors, directly tying AI visibility to revenue forecasting and measurable business outcomes.
With $2.2 million in funding and coverage in Adweek, Forbes, and national media, Emberos is defining the category of AI visibility infrastructure.
SEO defined the last decade of digital growth. The next phase is not replacing SEO, but evolving it. Justin explains how brands can extend proven SEO principles—relevance, authority, and quality—into AI-driven environments like search overviews, agents, and copilots.
AI is becoming the primary interface between brands and consumers. Justin breaks down how visibility inside AI systems directly influences product discovery, retail outcomes, and revenue generation.
Traditional metrics lag behind real-world outcomes. Justin shares how AI signal data can predict demand, box office performance, and product success before conventional analytics catch up.
Low-quality, mass-produced AI content is quietly degrading brand visibility. Justin explains how “AI slop” is reducing discoverability and what sophisticated brands are doing differently to stand out.
Winning in AI is not about flooding the internet with content. It requires orchestrating high-quality signals across PR, podcasts, influencers, retail content, and owned channels to shape how AI systems understand your brand.
From product search to purchasing decisions, AI is transforming how consumers discover and evaluate brands. Justin outlines what companies need to do now to stay competitive in AI-mediated commerce.
When did you realize AI answers were becoming more important than traditional search results?
What is Share-of-Prompt and why does it matter more than impressions or clicks?
How does AI visibility actually translate into revenue?
What are most brands misunderstanding about optimizing for AI systems?
How is your approach different from companies that just monitor AI mentions?
Where do you see AI-mediated commerce and media discovery going over the next three years?
Justin speaks on the transformation of digital discovery, AI governance, predictive AI signal data, and the future of brand-to-algorithm optimization.
