Bear AI provides a marketing stack specifically designed for growth teams to generate revenue from AI Agents. The platform analyzes traffic from major LLMs, allowing businesses to optimize visibility across AI assistants like ChatGPT and Gemini. It offers tools to convert this AI-driven traffic into measurable customer conversions through content generation and outreach workflows.
Funding
Funding not disclosed
Founders
Product
Problem
Brands increasingly rely on AI-powered assistants (e.g., ChatGPT, Google AI, Claude, Perplexity) to surface information, but traditional SEO targets link‑based search results and does not ensure visibility in AI‑generated answers. Consequently, companies cannot track when AI agents mention their brand, assess the impact of those mentions, or convert high‑intent AI‑driven traffic into customers.
Solution
Bear AI delivers a specialized marketing stack that monitors brand mentions across major large language models and optimizes content for Generative Engine Optimization (GEO). The platform aggregates real‑time data from AI agents, surfaces prompt‑level insights, and provides a dashboard for visibility tracking. An AI‑ready blog agent creates structured posts aligned with the most‑asked prompts, while automated PR workflows build third‑party citations that LLMs can reference. Lead‑generation tools identify visitors arriving from AI sources and trigger targeted outreach sequences. The solution integrates with existing workflows via Slack notifications, custom APIs, and optional enterprise‑grade integrations, enabling growth teams to capture and monetize AI‑derived traffic.
Target Audience
The primary customers are marketing and growth teams at B2B SaaS firms, consumer brands, and digital agencies that need to monitor and improve their visibility in AI‑driven search and recommendation engines.
Features
- AI rank tracker that scrapes responses from GPT‑5, Google AI, Claude, Gemini, and Perplexity to detect brand mentions across thousands of prompts
- GEO optimization engine that recommends content edits and citation strategies to improve AI‑agent recommendation rates
- Blog agent that generates structured, LLM‑compatible articles tuned to high‑volume prompts identified by the tracker
- Automated PR outreach module that discovers third‑party sites cited by LLMs and initiates backlink or mention requests at scale
- Lead capture workflow that tags inbound site visits originating from AI assistants and routes them to email or CRM sequences
- Real‑time analytics dashboard with trend graphs, competitor mention monitoring, and alerting via Slack or webhook integrations
- Role‑based access controls and end‑to‑end encryption to meet enterprise security requirements
- Custom integration layer (REST API, SSO) for embedding GEO data into existing marketing tech stacks