From monitoring to prediction
Rather than reporting outcomes after the fact, Inman claims the platform predicts how brands will appear in AI engines, and pushes recommended fixes directly into existing marketing workflows.
“A lot of our competitors are looking at it from a reactive standpoint—telling you what has already happened. We have a predictive capability, and then we give you what we call fix packs,” Inman said. “I want to demystify that black box and make it more approachable and automated—not just for the executive level, but also the practitioner level.”
Those “fix packs” are executed through integrations with tools like Slack, HubSpot, and Jira, routing recommendations directly to social, marketing, or agency teams, Inman said. Emberos also includes a governance layer focused on hallucinations, intellectual property concerns, and brand safety.
Mapping the AI narrative layer
At the core of Emberos’ technology is a proprietary Brand Knowledge Graph, which maps entities such as brands, products, creative assets, and narratives across the internet. That system allows the company to track how those entities evolve—and to predict future outcomes.
“Once an entity is mapped over to our Brand Knowledge Graph, we have a city map of how the internet—all the biggest influencing factors—relate to that specific entity,” Inman said. “That’s what allows us to have a predictive capability.”
Those predictions can span macro outcomes like box office performance or more granular business impacts tied to specific changes brands make. “If you make this change, we predict you’ll have X amount of lift,” Inman said. “Then once that change actually happens, we can compare what we predicted to what actually occurred.”
Unlike tools that encourage brands to flood the web with more AI slop, Emberos evaluates signals across owned, earned, and paid channels, including website FAQs and PR placements as well as influencer partnerships and paid campaigns.
