Answer Engine Optimization platform for brand visibility in AI search
Goodie AI helps brands monitor and optimize their presence across AI search engines and agentic commerce platforms. The stack reveals a modern observability-first architecture (Prometheus, Grafana, Elasticsearch) paired with multi-cloud infrastructure (AWS, Azure, GCP) and active LLM integration (ChatGPT, Gemini, Perplexity). The hiring mix is heavily weighted toward marketing and product roles rather than engineering, with pain points centered on understanding how brands appear in AI-generated answers—a nascent problem space that demands both technical depth (model quality, crawler behavior) and go-to-market sophistication.
Goodie AI operates a platform for monitoring and optimizing brand visibility within AI search engines and agentic commerce systems. The platform enables brands to track how they appear in answers generated by large language models, analyze competitive positioning, and take action to improve presence. Founded in 2024 and based in New York, the company is in early scaling with 11–50 employees. Active projects span AI model research, proof-of-value pilots with named accounts, and a scalable observability infrastructure, indicating a product-market fit phase with focus on moving inbound interest into closed enterprise deals.
Goodie AI provides Answer Engine Optimization (AEO) capabilities to help brands monitor, analyze, and optimize their visibility in AI search engines and agentic commerce platforms, including tracking brand representation across models like ChatGPT, Perplexity, and Gemini.
Goodie AI uses Python and SQL for backend logic, AWS/Azure/GCP for cloud infrastructure, Kubernetes and Docker for container orchestration, Prometheus and Grafana for observability, Elasticsearch for search, and GitLab CI/CD and GitHub Actions for deployment.
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