Your brand voice doesn’t stop at your website, social media, or press coverage anymore. Today, it lives inside AI models—like ChatGPT, Claude, and Gemini—where millions go for answers about your company.
But what happens when those answers misrepresent you? That’s where the Echo Score comes in.
What Is the Echo Score?
The Echo Score is a metric developed by Sentaiment to measure how well your brand’s actual identity is reflected in the responses of major language models (LLMs).
It gives you a single, clear metric—from 0 to 100—that reflects the alignment between your intended messaging and what AI says about you.
Why It Matters
AI is now a primary source of brand discovery and recommendation.
When people ask, “Is [Your Brand] trustworthy?” or “What does [Your Brand] do?”, the responses vary dramatically across models.
Misaligned AI responses can:
Undermine trust and credibility
Spread outdated or incorrect narratives
Push prospects toward competitors
The Echo Score gives you visibility and control in this new reputation layer.
How It Works
Sentaiment analyzes your brand across multiple models (ChatGPT, Claude, Perplexity, etc.) by asking questions real users ask. It then compares those answers against your intended brand positioning, values, and core messaging.
The Echo Score is calculated based on:
Accuracy (Are the facts right?)
Tone & Framing (Is the message aligned with your voice?)
Consistency (Do multiple models say the same thing?)
Timeliness (Are they referencing outdated info?)
Each LLM is scored individually, and a composite Echo Score is created to show your overall brand health across AI.
What’s a Good Echo Score?
80–100: Strong alignment – Your brand is accurately and consistently portrayed
60–79: Mixed signals – Some models may be off or out of date
Below 60: High risk – Misalignment could lead to misinformation or reputational harm
You can click into each model’s score to see exactly where gaps or distortions are occurring.
How to Improve It
Sentaiment doesn’t just tell you what’s wrong—it shows you how to fix it:
Suggested Actions: AI-generated recommendations on what to change (e.g., update Wikipedia, fix metadata, improve site structure)
Content Suggestions: Pages, claims, or keywords to reinforce across your owned media
Source Mapping: See where models are likely pulling from, and where your voice is missing
Why the Echo Score Is Different
Unlike generic sentiment tools, Sentaiment’s Echo Score is:
LLM-native: Built specifically to audit and influence AI model outputs
Multi-dimensional: Goes beyond surface-level sentiment to analyze accuracy, tone, and intent
Actionable: Paired with clear next steps, not just dashboards