Fact sheet · AI search visibility
Emberos
Operating system for AI brand management and governance across LLMs
Platform enabling brands to understand how AI systems perceive them, predict narrative direction, shape that narrative, and prove impact across ChatGPT, Gemini
Overview

Emberos is an operating system for AI brand management powered by a Brand Knowledge Graph and five specialized AI agents: Scout (detects and monitors), Pilot (fixes and predicts), Flow (orchestrates changes), Merchant (optimizes commerce), and Echo (audits and governs). The platform monitors how AI represents brands across all major LLMs including ChatGPT, Gemini, Claude, Perplexity, Grok and DeepSeek.
The system helps brands see what AI currently says about them, predict what it will say next, implement fixes across sources influencing AI answers, and measure results through Share-of-Prompt metrics. Emberos provides governance infrastructure, predictive intelligence with 70%+ accuracy validated across 100+ client implementations, and tracks improvements in pipeline lift and churn reduction.
Implementation takes 2-3 weeks and requires API access to LLM providers and read/write integration with tools like HubSpot or Jira. The platform never stores customer PII or proprietary model data, with configurable data residency for compliance.
Feature facts
- Monitors ChatGPT, Gemini, Claude, Perplexity, Grok and industry-specific models
- Brand Knowledge Graph connects brand truths, signals, actions and outcomes
- Tiered AI Visibility Index (TAVI) scores brand visibility and competitiveness
- Early warning system detects emerging shifts and inaccuracies before they spread
- Configurable data residency for compliance without storing customer PII
Pricing
Pricing model: Paid
Follow Emberos: their milestones, new launches and awards come to you by email, once a day by default.
Emberos specifications
| Section | AI search visibility |
|---|---|
| Founded | 2025 |
| Stage | Startup |
| Website | emberos.ai |
| Makers | Justin Inman (Founder) |
| Votes2 | 0 |
Emberos metrics
| Metric | Value |
|---|---|
| Domain Rating | 26 +1 (up) since last check |
| Trust Flow | 11 no change since last check |
| Citation Flow | 21 no change since last check |
| Referring domains | 107 no change since last check |
| External backlinks | 339 no change since last check |
Fact: Ahrefs Domain Rating checked 12 Nov 2026, fact changed 30 Oct 2026. Fact: top topic Computers/Internet/Searching (10). Fact: Majestic checked 25 Oct 2026, fact changed 25 Oct 2026. Link facts from Majestic. Trust Flow, Citation Flow and Topical Trust Flow are trademarks of Majestic-12 Ltd.
Emberos domain fact sheet
Open the fact sheet
| Domain age | 1 year |
|---|---|
| Registered | |
| Expires | |
| Registrar | GoDaddy.com, LLC |
| DNSSEC | Not signed |
Emberos launch receipt sheet
What we have measured for Emberos since it went live on SaaS Directory Info on 25 October 2026.
- 26 Domain Rating (Ahrefs) +1 (up) since launch
at launch: 25 (25 Oct 2026); latest: 11 Nov 2026 - 11 Trust Flow (Majestic)
first measured 25 Oct 2026 - 107 Referring domains (Majestic)
first measured 25 Oct 2026
Day 17 since launch. Next receipt: day 30, 24 Nov 2026. The figures report a change; they do not say what caused it, and many things can. No figure here is a guess.
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Step-by-step tips for before, during and after your launch, free to read on SaaS Directory Info.
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Frequently looked up
- Q1How is emberos different from traditional SEO tools?
- Emberos is not an SEO tool but rather AI Visibility Infrastructure that gets your brand to be the direct, automated AI answer across all major LLMs, rather than optimizing for links people might click. It focuses on fixing AI inaccuracies and providing predictive ROI on competitive visibility.
- Q2What is emberos's prediction accuracy?
- The Strategist Agent predicts improvement deltas with 70%+ accuracy, validated across over 100 client implementations, with predictions tied directly to financial KPIs like pipeline lift and churn reduction.
- Q3What is the implementation timeline?
- Onboarding takes 2-3 weeks and is non-invasive, requiring only API access to LLM providers and read/write integration with tools like HubSpot or Jira so the Operator Agent can automate workflows.
- Q4What is the typical ROI timeline?
- Most customers see Share-of-Prompt lift within 2-4 weeks as AI models refresh, with full business impact including pipeline growth and churn reduction seen within the first 90 days.
- Q5Does emberos store customer or proprietary model data?
- No. Emberos only processes governance intelligence for the Brand Knowledge Graph such as verified facts and risk insights. It never stores customer PII or proprietary model data, with fully configurable data residency for compliance.
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See also
| Product | Origin | DR1 | Votes2 |
|---|---|---|---|
| ModelRefsThe AI Reference Layer for Implementation Decisions | United States | 1 | 0 votes. Log in to vote for ModelRefs in the file |
| not stated | 2 | 0 votes. Log in to vote for AIPriceRank in the file | |
| not stated | 2 | 0 votes. Log in to vote for Redmagnet AI in the file | |
| Puerto Rico | 4 | 0 votes. Log in to vote for Preferly in the file |