Mentionary is directly relevant to the AI agent ecosystem because it focuses on the "discovery" layer where agents interact with the web. As agents increasingly act as the primary interface for users to find products or research services, the data they retrieve via RAG (Retrieval-Augmented Generation) becomes the most critical real estate for brands. Mentionary provides the tools to audit and influence this data retrieval process.
For those building agents, Mentionary offers a glimpse into how models select and cite sources, which is useful for understanding the reliability and bias of agentic search. For brands, the platform is an essential tool for ensuring their information is accessible and formatted correctly for agentic consumption. It essentially provides the "SEO for Agents," helping to define the rules of how businesses maintain visibility when the end-user is an automated system rather than a human browsing a search results page.
Mentionary is a company built for a world where search is no longer a list of blue links. As users shift their information-seeking habits toward generative platforms like ChatGPT, Claude, and Perplexity, businesses face a new visibility challenge. Ranking on the first page of Google is becoming less valuable if an AI assistant answers the user's query before they ever click a link. Mentionary provides the tools to monitor and optimize brand authority within these generated responses.
The platform operates on the premise that visibility in the AI era is defined by citations rather than rankings. It simulates thousands of buyer-intent prompts to determine if a brand is mentioned, how it is positioned, and which sources the AI model uses to verify its information. This process allows marketing teams to see exactly what information is missing from their digital footprint that might otherwise trigger a citation from a model.
At the core of the Mentionary platform is the Generative Share-of-Voice (GSoV) metric. This figure represents the percentage of model responses within a specific category that recommend or mention a brand compared to its competitors. It serves as a modern alternative to traditional search share-of-voice metrics. By tracking this over time, companies can measure the effectiveness of their "Answer Engine Optimization" (AEO) efforts.
The software identifies specific content gaps that prevent a brand from being cited. For example, if a model frequently cites a competitor for "best enterprise CRM," Mentionary analyzes the source material the AI is drawing from and suggests specific data points or structured content improvements the brand should implement. This might include adding peer-reviewed studies, technical API documentation, or specific ROI metrics that AI models favor during retrieval-augmented generation.
Mentionary tracks a specific range of platforms including OpenAI’s ChatGPT, Anthropic’s Claude, Google’s Gemini, and Perplexity AI. Each platform is monitored separately because their training data and retrieval methods vary significantly. A brand might have high visibility in Claude but remain invisible in Gemini, requiring different optimization strategies for each.
The company offers a SaaS model with tiers ranging from solo marketers to large agencies. Higher-tier plans include API access, which allows development teams to integrate citation data directly into internal business intelligence tools. This technical integration suggests a move toward making AI visibility a core performance metric for digital marketing departments. Mentionary claims that most teams see a measurable increase in citations within 90 days of using the platform's recommendations.
An AI citation tracking and optimization platform for brands.
Mentionary is hiring.