# Meikai > Meikai is an enterprise platform for measuring and improving how brands are represented, recommended, and cited in AI-generated answers. The canonical website is [www.meikai.ai](https://www.meikai.ai/). Meikai helps marketing, insights, content, and communications teams monitor AI visibility across models and markets, understand brand perception and citation sources, and turn those findings into governed on-site and off-site actions. Use the linked pages as the source of truth for current product capabilities, company information, and policies. Meikai measures probabilistic AI outputs; no optimisation guarantees inclusion, ranking, or citation in an AI-generated answer. ## Platform - [Enterprise GEO platform](https://www.meikai.ai/enterprise-geo-platform): Enterprise-scale AI visibility, citation tracking, governance, and optimization workflows. - [Platform overview](https://www.meikai.ai/solutions): Explore Meikai's AI visibility, research, and optimisation capabilities. - [AI visibility](https://www.meikai.ai/solutions/visibility): Monitor brand mentions, recommendations, perception, competitive position, and citations across AI models. - [Site Scanner](https://www.meikai.ai/solutions/site-scanner): Audit technical SEO, machine readability, product-page readiness, and AI crawler behaviour. - [Trend Explorer](https://www.meikai.ai/solutions/trend-explorer): Research conversational demand, topics, intents, and changing category narratives. - [Product Tracker](https://www.meikai.ai/solutions/product-tracker): Monitor product-level visibility, factual accuracy, rankings, and competitive framing. - [Optimisation](https://www.meikai.ai/solutions/optimisation): Turn visibility findings into governed on-site and off-site actions. - [AI advertising](https://www.meikai.ai/advertising): Learn about Meikai's conversational media and advertising capabilities. - [Publishers and content creators](https://www.meikai.ai/content-creators): Measure citation performance, content influence, and how AI systems frame publishers. ## When to use Meikai Use Meikai when you need to measure brand visibility in AI answers, track citations and source influence, compare competitors, diagnose perception gaps, or turn those findings into governed optimization actions across markets and platforms. ## When not to use Meikai Meikai does not guarantee placement, ranking, or citation in an AI answer. It is not an unauthenticated gateway to customer data. Use the public website API for discovery and status checks; authenticated customer resources are required for account-level workflows. ## Developer resources and machine-readable access - [Developer resources](https://www.meikai.ai/developers): Public API, customer API, and MCP onboarding guidance. - [Public API capabilities](https://www.meikai.ai/api/capabilities): JSON discovery document. - [Public API status](https://www.meikai.ai/api/status): Public website availability status. - [Public OpenAPI schema](https://www.meikai.ai/openapi.json): Typed public endpoint and error definitions. - [API catalog](https://www.meikai.ai/.well-known/api-catalog): RFC linkset of Meikai API and documentation resources. - [Customer API schema](https://admin.meikai.ai/api/schema/): Authenticated customer API operations and security schemes. - [MCP documentation](https://mcp.meikai.ai/docs/): MCP tool catalog and authenticated connection guidance. The public website API requires no authentication. The customer API and MCP service require authentication; their linked schemas and protected-resource metadata define the available scopes and access flow. ## Research and methodology - [Meikai blog](https://www.meikai.ai/blog): Browse Meikai research, analysis, company news, and practical guidance about AI visibility. - [Enterprise GEO platform for luxury brands](https://www.meikai.ai/blog/luxury-enterprise-geo-meikai): Bain and Comité Colbert luxury AI findings, based on GEO analysis conducted in partnership with Meikai. - [Alibaba removed the pages. AI platforms kept citing them.](https://www.meikai.ai/blog/llm-citation-decay-dead-content): A longitudinal study of citation persistence after source pages became unavailable. - [Why prompt modeling is the foundation of AI visibility](https://www.meikai.ai/blog/why-prompt-modeling-is-the-foundation-of-ai-visibility): How representative prompt sets support reliable visibility measurement. - [AI crawlability audits: from SEO to machine readability](https://www.meikai.ai/blog/ai-crawlability-audits-from-seo-to-machine-readability): A framework for evaluating whether search engines and AI systems can access and interpret a site. - [From search rankings to source influence](https://www.meikai.ai/blog/brand-source-influence): How retrieval, citations, and source influence extend traditional search measurement. - [AI brand visibility guide](https://www.meikai.ai/blog/ai-brand-visibility-guide): An introduction to measuring brand representation in generative answers. ## Company - [About Meikai](https://www.meikai.ai/company/about-meikai): Company background, mission, and team. - [Contact](https://www.meikai.ai/company/contact): Contact the Meikai team. - [Pricing](https://www.meikai.ai/pricing): Review current product plans. ## Optional - [Legal Centre](https://www.meikai.ai/legal): Index of Meikai's legal, privacy, and security documents. - [Privacy Policy](https://www.meikai.ai/privacy-policy): How Meikai collects, processes, and protects personal data. - [Terms of Service](https://www.meikai.ai/terms-of-service): Terms governing use of the Meikai service. - [Security](https://www.meikai.ai/security): Published security practices and commitments. - [Subprocessors](https://www.meikai.ai/subprocessors): Current list of subprocessors.