AI Ethics

Our Commitment

At Amplevo, we believe AI should empower humanity, not replace it. Our ethical framework guides how we develop, deploy, and maintain the systems that analyze answer engines on behalf of our customers. We're committed to building technology that respects user autonomy, promotes fairness, and creates meaningful value while minimizing potential harms.

Our Ethical Principles

Transparency

We clearly explain how our rank-check system queries LLMs, how we attribute brand mentions, and how we derive visibility scores. Every metric we surface can be traced back to an underlying AI response, and we provide plain-English explanations of how our systems make decisions wherever possible.

Privacy & Data Security

Your data is protected with enterprise-grade security measures and encryption. We follow strict data minimization practices, collecting only what's necessary to provide our services. We never sell user data, we only use your information to improve our systems with your explicit consent, and you retain full control over your workspace and its contents.

Human Oversight

Our AI systems operate within carefully designed parameters. Humans review anomalous results, sentiment classifications, and any automated actions before they reach customers. We continuously monitor our LLM integrations to ensure the data we surface is accurate.

Fairness & Bias Mitigation

AI answer engines have their own biases — and measuring them fairly is part of what we do. We actively work to identify and reduce biases in our own analysis pipeline through diverse prompt design, regular audits, and by showing the raw LLM responses alongside our derived metrics so users can verify the source.

Accountability

We take responsibility for our outputs and maintain clear channels for feedback, concerns, and issue resolution. When mistakes happen, we address them promptly and transparently, using them as opportunities to improve our systems.

Continuous Improvement

We're committed to ongoing research and development to enhance our capabilities while prioritizing ethical considerations. We regularly review and update our guidelines as AI technology and societal expectations evolve.

Beneficial Purpose

We design Amplevo to create meaningful value for marketing teams, brand owners, and agencies navigating the shift from search to answer engines. We prioritize helping marketers make better decisions — not automating them away.

Responsible AI Development Practices

Our commitment to ethical AI extends throughout our development process, from initial design to ongoing maintenance and improvement.

Design Phase

Ethical impact assessments for all new AI features
Diverse stakeholder input during the design process
Privacy-by-design and security-by-design principles
Clear definition of intended use cases and limitations

Development Phase

Diverse and representative prompt datasets
Bias detection and mitigation across LLM providers
Rigorous testing across different user scenarios
Code reviews with ethical considerations in mind

Deployment Phase

Gradual rollout with monitoring and feedback collection
Clear user communication about AI capabilities and limitations
Robust monitoring systems for detecting anomalies
Easy-to-use feedback mechanisms for users

Maintenance Phase

Regular performance and bias audits
Continuous model-routing improvement based on real-world feedback
Proactive identification and resolution of emerging issues
Regular updates to ethical guidelines and practices

AI Analysis Guidelines

We maintain strict guidelines for how our system analyzes LLM responses to ensure quality, accuracy, and appropriateness across all our services.

Quality Standards

Factual verification of brand-to-domain matching
Mention-type classification (citation vs. brand mention) audited against ground truth
Consistent sentiment scoring across LLM providers
Clear separation of raw LLM output from derived metrics

Safety Measures

Harmful content detection and filtering on stored LLM responses
Safeguards against misinformation in surfaced snippets
Respect for intellectual property rights when quoting AI responses

Transparency Requirements

Clear labeling of which LLM produced each response
Full disclosure of the prompt used for every check
Information about when and how data was collected
User control over which LLMs to include in their tracking

User Rights and Control

We believe users should have meaningful control over their AI interactions and data. We provide comprehensive tools and options so you can use our services according to your preferences and needs.

Granular privacy controls and data management options
Ability to opt out of data collection for model improvement
Customizable tracking frequency and LLM selection
Easy access to human support when needed
Clear explanation of how visibility scores are calculated
Right to request review of any automated classification
Data portability and deletion rights

Our Ongoing Commitment

As AI technology continues to evolve, so too will our approach to ethics. We're committed to:

Staying informed about emerging ethical concerns in AI
Engaging with diverse stakeholders to understand different perspectives
Participating in industry initiatives to establish responsible AI standards
Being transparent about our successes and challenges
Continuously improving our practices based on feedback and new insights

Industry Collaboration and Standards

We actively participate in industry-wide efforts to establish and maintain ethical AI standards, recognizing that responsible AI development requires collective action.

Membership in AI ethics organizations and consortiums
Contribution to open-source AI safety tools and research
Participation in regulatory discussions and policy development
Sharing of best practices with the broader AI community
Support for academic research in AI ethics and safety

Feedback and Concerns

We welcome your thoughts on our ethical approach to AI. If you have feedback, questions, or concerns about our AI ethics practices, please contact us at ethics@amplevo.com.

Last updated: April 20, 2026