Agentic AI platform automating SEO, AI search and paid ads
Search Atlas builds AI agents that run SEO, AI search and paid-ad campaigns, on a Python/Django and Celery backend with ClickHouse, PostgreSQL and Redis, deployed on GCP via Kubernetes and ArgoCD. The Groq and Cursor footprint points to LLM-driven product work, while minimal hiring centered on a Technical SEO Lead and pains around client churn and escalations suggest a focus on retention over headcount growth.
Notable leadership hires: Technical SEO Lead
Search Atlas is a privately held performance marketing software company headquartered in New York, New York, with 51–200 employees. Its platform uses AI agents to handle research, strategy, execution and reporting across SEO, AI search, Google Ads and Meta Ads. The product serves marketers and agencies who want to replace disconnected tools and manual workflows. Specialties include keyword ranking, SERP tracking and agentic marketing.
Search Atlas runs Python, Django, Django REST Framework and Celery on the backend, React, Next.js and TypeScript on the frontend, with PostgreSQL, ClickHouse and Redis, on GCP with Kubernetes, ArgoCD, Datadog and Sentry.
Hiring is minimal and focused on marketing and product, including a Technical SEO Lead role, with recruiting activity in Brazil.
Search Atlas is headquartered in New York, New York, United States, and has 51–200 employees.
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Search Atlas's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.