Ranqia
Ranqia provides intelligence infrastructure that helps brands optimize their visibility in AI-generated search results across assistants like ChatGPT, Gemini, Perplexity, and Claude. The platform measures how often and how favorably brands appear in AI responses, then produces and distributes structured content to increase citation likelihood. It targets medium and large brands selling in Brazil and Latin America, with particular focus on Portuguese and Spanish language queries.
- Artificial Intelligence
- Marketing Technology
- Data & Analytics
- Software Only
- AI Agents
- Content & Publishing
Funding
Founders
Founder details are not available yet.
Product
Problem
Traditional search optimization focuses on ranking in lists of blue links, but AI-powered search engines now return a single curated, personalized answer with integrated citations. This shift causes destination traffic to decline, meaning companies that fail to be cited by AI models lose sales and visibility in the generative search era.
Solution
Ranqia.ai provides intelligence infrastructure that helps companies establish and optimize their presence in AI-generated search results. The platform operates through two dimensions: how often a brand is mentioned in AI responses and how favorably it is positioned. It employs three SaaS engines and one agent fabric wired into a single execution loop that observes, decides, produces, and distributes content across multiple AI-relevant channels. The system adapts websites and platforms to maximize the likelihood of being cited by large language models, effectively moving clients into the upper-right zone of mention frequency and positioning quality.
Target Audience
Primary customers are medium and large brands selling in Brazil and Latin America, especially where queries are made in Portuguese or Spanish, a range where tools designed for English have little coverage.
Features
- Two-axis optimization grid that measures brand positioning percentile and citation frequency in AI responses
- Agent fabric architecture enabling continuous observation, decision-making, content production, and distribution
- Monitoring across ChatGPT, Gemini, Perplexity, and Claude, with continuous tracking starting with ChatGPT
- Intention-based measurement for discovery, comparison, reputation, alternatives, and decision queries
- Content strategy engine determining which content types influence what AI models respond
- Distribution system designed to place content where AI systems can discover and cite it
- Statistical sampling methodology to measure stochastic AI outputs, accounting for the variable nature of LLM responses
- Structured content production with schema.org markup and robot visit tracking