Evertune provides an AI marketing platform designed to enhance enterprise brand discoverability across AI search and recommendation engines. The platform offers AI brand monitoring, website optimization audits, and content strategy insights to influence AI perception. It enables brands to execute high-intent advertising campaigns directly within AI search results to capture buyers during their research phase.
Funding
$4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Brands lack visibility into how AI models perceive and recommend their products compared to competitors, hindering their ability to influence AI-driven consumer choices. Traditional brand monitoring tools do not effectively track or analyze brand mentions and sentiment within large language model (LLM) outputs. This makes it difficult for brands to understand and address biases or inaccuracies in AI-generated recommendations.
Solution
Evertune offers an AI-driven brand monitoring and analytics platform that evaluates how LLMs position brands against competitors and tracks sentiment over time. The platform analyzes LLM outputs to determine how frequently a brand is recommended and identifies the product features that LLMs consider important to consumers. Evertune provides actionable insights into the content and sentiment driving AI recommendations, enabling brands to understand their strengths and weaknesses in the eyes of AI models. The platform also delivers a data-driven content roadmap, recommending specific websites, topic areas, and keywords to help brands educate LLMs and improve their visibility and reputation in AI-generated recommendations.
Target Audience
Evertune primarily targets marketing, search, and social media teams at brands seeking to understand and improve their visibility and reputation in AI-generated recommendations.
Features
- Analysis of how LLMs position a brand versus competitors
- Identification of product features that LLMs believe are important to consumers
- Sentiment analysis of words used to describe a brand in LLM outputs
- Content analysis to identify gaps in brand mentions across relevant websites
- Data-driven content roadmap with recommended topic areas and keywords
- Monthly tracking of brand performance in LLM recommendations over time
- Integration with leading generative AI model providers
- AI Brand Index to measure how often LLMs recommend a brand