Sentaiment

About Sentaiment

Sentaiment is the definitive AI brand perception platform, designed to give marketing, communications, and PR agencies and teams clarity and control in an AI-driven world. It solves a critical modern challenge: understanding and shaping how influential AI models like ChatGPT, Claude, and Gemini describe and represent your brand. These models are now a primary research tool for B2B buyers, yet they often rely on outdated, incorrect, or incomplete information. Sentaiment eliminates the guesswork by providing a real-time, multi-model audit of your brand's AI narrative. The platform doesn't just highlight risks and misrepresentations; it delivers a cyclical process of continuous improvement with model-specific, actionable steps to correct errors, reinforce strengths, and proactively align perception. This iterative approach ensures your brand story remains accurate, consistent, and powerful across every major AI interface, turning a potential vulnerability into a strategic advantage.

Features of Sentaiment

Perception Audit & Echo Score

Sentaiment automates a comprehensive brand audit by querying over 10 major AI models, including ChatGPT, Claude, Gemini, and Perplexity, with 50+ real-world scenarios. From this data, it generates your proprietary Echo Score—a single, unified metric that quantifies how clearly and consistently these models describe your brand. This feature provides immediate visibility into narrative gaps, inconsistencies, and the specific sources shaping AI responses, establishing a crucial baseline for ongoing improvement.

Model-Specific Suggested Actions

Moving beyond simple analytics, Sentaiment delivers precise, actionable recommendations tailored to each AI model's behavior. These prioritized steps guide you to fix factual errors, update outdated claims, and strengthen desired messaging with clear copy and technical schema guidance. This turns insight into direct intervention, creating a closed-loop system for continuous brand alignment and narrative control across the AI landscape.

Automated Executive Reporting

Transform complex AI perception data into simple, shareable insights for stakeholders and leadership. Sentaiment automatically generates executive reports that track your Echo Score trends, highlight top issues, and outline planned fixes. These reports can be exported to PDF for presentations, facilitating informed decision-making and demonstrating proactive brand management in the age of AI.

Continuous Multi-Model Monitoring

Sentaiment provides ongoing, automated tracking of your brand across all major AI models, not just a one-time snapshot. This continuous monitoring allows you to spot perception drift, measure the impact of your corrective actions, and identify new opportunities or emerging risks over time. It ensures your improvement cycle is sustained, keeping your brand narrative aligned as AI models and the information they access evolve.

Use Cases of Sentaiment

Proactive Brand Risk Management

Marketing and PR teams use Sentaiment to proactively identify and mitigate reputational risks before they escalate. By continuously auditing how AI models describe their brand, they can quickly catch and correct misinformation, outdated messaging, or negative narratives, preventing potential damage to brand equity and buyer perception in AI-powered research.

Strengthening Competitive Positioning

Agencies leverage Sentaiment to audit not only their own clients but also competitor brands. This reveals gaps in competitors' AI presence and identifies opportunities to differentiate. By strategically aligning their client's AI narrative to emphasize unique strengths, they can capture mindshare and appear more authoritative in AI-generated comparisons.

Validating Content & SEO Strategy

Content and SEO teams utilize Sentaiment's insights to ensure their website headers, schema markup, and published content are effectively understood and cited by AI models. This validates their technical and content efforts, ensuring the brand's digital footprint is optimized to feed accurate and favorable information into the AI ecosystem.

Demonstrating Strategic Value to Leadership

Communications directors and brand managers employ Sentaiment's Executive Reports to quantify their impact and secure budget. By presenting data on improved Echo Scores and resolved misrepresentations, they tangibly demonstrate how managing AI perception protects and enhances brand value, aligning marketing efforts with broader business objectives.

Frequently Asked Questions

How does Sentaiment get its data from AI models?

Sentaiment uses direct, real queries to live AI models like ChatGPT, Claude, and Gemini. We do not rely on synthetic tests or indirect data. Our system runs authentic searches and prompts based on real-user scenarios to see exactly what a potential customer or journalist would see when they ask these models about your brand.

What is the "Echo Score" and how is it calculated?

The Echo Score is a proprietary metric that measures the clarity and consistency of your brand's description across multiple AI models. It is calculated by analyzing the responses from our Perception Audit, evaluating factors like factual accuracy, alignment with desired messaging, and narrative uniformity. A higher score indicates a stronger, more controlled AI brand perception.

How long does it take to see results after implementing Suggested Actions?

AI models index and process new information at different speeds. Some changes can be reflected in a matter of days, while others may take several weeks. Sentaiment's continuous monitoring tracks these updates over time, allowing you to confirm when the models have successfully integrated your corrections and improved your brand narrative.

Is Sentaiment suitable for small businesses or only large enterprises?

Sentaiment is built for any organization that cares about its reputation in AI search. From startups establishing their narrative to large enterprises protecting their brand, the platform scales to meet your needs. The actionable, prioritized insights ensure that even teams with limited resources can make high-impact improvements to their AI perception.