# Revere

> Revere is an AI-powered brand intelligence platform that helps marketers monitor, analyze, and protect their brand reputation across Large Language Models (LLMs) and Agentic AI. Revere provides the tools and insights brands need to stay visible, accurately represented, and actively recommended in the age of AI-driven discovery and decision making.

## About Revere

Revere was founded by technology and marketing leaders with the mission of helping marketers navigate one of their biggest challenges and opportunities: elevating their brands and improving customer journeys in the era of LLMs, AI agents, and generative search.

The name "Revere" has a dual meaning. Like Paul Revere, the company sounds the alarm to marketers about how LLMs are becoming major influencers that will upend traditional search, impact purchase decisions, and transform the customer journey. More importantly, Revere is about helping companies build brands that are revered.

- Founded by: Mike Ensing, former Microsoft, McKinsey, and RealNetworks executive
- Website: [https://revere-ai.com](https://revere-ai.com)
- Industry: AI Brand Intelligence, MarTech, Generative Engine Optimization (GEO)

## Platform & Products

Revere's platform addresses the AI Brand Control Crisis — the growing challenge of managing how brands are represented across AI-powered discovery channels.

### Core Capabilities

- **Revere Discovery**: Understand how LLMs and AI agents currently perceive, represent, and recommend your brand
- **Brand Audits**: Comprehensive audits of brand visibility and accuracy across AI platforms
- **Brand Analysis & Monitoring**: Ongoing monitoring of brand sentiment, visibility, and competitive positioning in AI-generated responses
- **Brand Index Score**: Proprietary scoring system that measures brand health across AI discovery channels
- **Share of AI Voice**: Track how often your brand is mentioned and recommended relative to competitors in AI-generated content

### The Six Pillars of Brand Intelligence

Revere's methodology is built on six pillars:

1. **Technical SEO & AI Accessibility**: Ensure your digital presence is optimized for AI crawlers and LLM training
2. **Generative Engine Optimization (GEO)**: Optimize content to be surfaced and cited by AI-generated answers
3. **Brand Marketing**: Strengthen brand signals that influence how AI models perceive and represent your brand
4. **Reputation Management**: Monitor and improve brand sentiment across AI platforms
5. **Agentic AI Data Readiness**: Prepare structured data for the next wave of autonomous AI agents
6. **Brand, Product & Business Practice Changes**: Align business practices with how AI evaluates and recommends brands

## Industries Served

Revere serves enterprise brands across:

- Financial Services
- Technology
- Education
- Life Sciences
- Manufacturing
- Insurance

## Resources & Insights

### Articles

- [The Fallacy of AI Search: Why 'AI search' is the wrong frame and leading many astray](https://revere-ai.com/resources/article/fallacy-ai-search): People don’t search in AI. They discover, evaluate and decide. And so does AI. Discover why focusing on AI search is the wrong frame, how it is leading marketers astray, and the need to shift from Optimization to Brand Marketing for AI.
- [The AI Brand Control Crisis: Why SEO and GEO Are Not Enough](https://revere-ai.com/resources/article/brand-control-crisis): A deep dive into why visibility in the AI era is about more than traditional search optimization — it's about whether your brand is in the consideration set when AI answers relevant questions.
- [Harvard Business Review: How Marketers Can Adapt to LLM-Powered Search](https://revere-ai.com/resources/article/hbr-ai-search): LLMs are changing how customers learn about brands. Three ways marketers can monitor and influence their AI brand representation. Co-authored by Stefano Puntoni, Mike Ensing, and Jarvis Bowers.
- [Marketing's Next Big Opportunity and Challenge: LLMs Will Be the Next Big Influencers](https://revere-ai.com/resources/article/llms-influencers): How Generative AI and Large Language Models are redefining search and acting as the new primary discovery layer for consumers.

## Site Pages

- [Home](https://revere-ai.com/): Main landing page introducing Revere's AI brand intelligence platform
- [Our Platform](https://revere-ai.com/platform): Platform features, product details, and differentiators
- [Why Revere](https://revere-ai.com/why-revere): The case for AI brand intelligence and the brand control crisis
- [Industries](https://revere-ai.com/industries): Industries served by Revere
- [Resources & Insights](https://revere-ai.com/resources): Articles, research, and thought leadership on AI brand intelligence
- [About Us](https://revere-ai.com/about): Company story, founder, and mission
- [Contact](https://revere-ai.com/contact): Contact the Revere team
- [Book a Demo](https://revere-ai.com/book-a-demo): Schedule a platform demonstration

## Key Terminology

- **Generative Engine Optimization (GEO)**: The practice of optimizing content and brand signals to be surfaced by AI-powered search and answer engines
- **Answer Engine Optimization (AEO)**: Optimizing content to appear in AI-generated direct answers
- **Large Language Model Optimization (LLMO)**: Strategies to influence how LLMs perceive and represent a brand
- **AI Brand Control Crisis**: The growing challenge brands face as AI models become primary discovery channels, often representing brands inaccurately or inconsistently
- **Share of AI Voice**: A metric measuring how frequently a brand is mentioned and recommended by AI models relative to competitors
- **Brand Index Score**: Revere's proprietary metric for measuring overall brand health across AI discovery channels

## Contact

- Website: https://revere-ai.com
- Contact Page: https://revere-ai.com/contact
- Demo: https://revere-ai.com/book-a-demo