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Enterprise GEO Platform
Meikai helps enterprise teams run citation optimization and visibility optimization across AI channels and agents, with analytics and execution workflows that stay fast at multi-billion prompt volume.
120+ active
brands managed
2B+ / 8 months
prompts analyzed
P95 < 3s
analytics latency
D-1 freshness
data recency
Last updated: May 10, 2026
Foundation
Enterprise GEO is the operating model for AI-era brand visibility. It combines monitoring, governance, and optimization across LLM platforms so your brand is visible, accurate, and recommended in high-intent answers.
Unlike traditional SEO, where ranking is tied to a single signal, AI visibility is a function of citation quality, source authority, and semantic relevance — across dozens of concurrent prompt surfaces.
Infrastructure
Built from the ground up for the scale, governance, and reliability requirements of enterprise GEO programs.
Built for multi-billion prompt scale with fast retrieval.
Optimization agent workflows across major AI answer surfaces.
Citation and visibility optimization with daily refreshed analytics.
Single sign-on (SSO) and role-based access control (RBAC).
Production-ready API and MCP server on Google Cloud.
Comparison
Most GEO tools are designed for reporting snapshots. Meikai combines scale architecture and optimization execution — ingestion, modeling, and retrieval layers designed to keep performance predictable as prompt volume reaches billions.
Traditional GEO dashboards
Meikai enterprise GEO
Single-channel visibility reporting
Unified multi-channel optimization agent workflows across AI answer surfaces
Traditional GEO dashboard reporting
Optimization workflows and execution priorities at enterprise scale
Snapshot visibility tracking on limited datasets
Continuous optimization and change tracking on multi-billion prompt datasets
Basic mention tracking
Citation quality, source authority, and recommendation outcomes
Slow queries as data volume grows
Fast analysis with pre-aggregated models and scale-ready query architecture
Meikai is built for multi-billion prompt scale. Current workloads include over 2 billion prompts analyzed across the last 8 months.
Meikai supports a multi-channel optimization agent model that improves visibility and recommendations across AI channels and answer surfaces through one unified workflow.
Meikai currently supports 120+ active brands running enterprise GEO programs across markets.
Enterprise datasets are refreshed daily (D-1), and core analytics workflows run with p95 latency under 3 seconds.
Yes. Meikai supports single sign-on (SSO) and role-based access control (RBAC) for secure access management across distributed teams.
Yes. Meikai provides a production-ready API and MCP server to support integration into enterprise workflows and internal tooling.
Meikai is fully deployed on Google Cloud and designed for high availability and reliable enterprise operations.