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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 billion-prompt volume.
120+ active
brands managed
1.5B+
production messages; provider reports a 2M-user panel
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.
SEO remains the foundation: search rankings draw on many signals, from content quality to links. AI visibility adds a layer on top — whether answers name your brand, how they describe it, and which sources they cite — 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 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.
Luxury research
Meikai contributed the GEO analysis to their 2026 luxury AI study, combining 9,049 real luxury-intent prompts across eight markets with more than 6.8 million AI-generated responses. The findings show why luxury discovery requires representative prompts, source-level evidence, multi-market coverage and coordinated on-site and off-site action.
Read the luxury enterprise GEO analysisComparison
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 passes a billion.
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 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
Every dashboard exports as a client-ready deck in PDF or PowerPoint, covering visibility, competitors, brand perception, audience, advertising, shopping and the multi-brand portfolio. Exports also run as jobs for larger pulls, returning a signed link when they finish.
Meikai is built for billion-message scale. Its current production panel aggregate contains more than 1.5 billion question-and-answer messages. The panel provider separately reports 2 million users worldwide.
Meikai supports a multi-channel optimization agent model that improves visibility and recommendations across AI channels and answer surfaces through one unified workflow.
Meikai connects measurement and execution through agent workflows. On-site and off-site agents use page content, citations and per-brand guidelines to prepare actionable plans for customer review.
A model assesses output against a written rubric. Meikai uses model-based development evaluations and an on-site critic step that reviews drafts and can request revisions. Evaluation coverage depends on the workflow; a score does not guarantee factual accuracy or visibility gains.
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.