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mongodb.com

mongodb.com

Итоговая оценка ИИ-оптимизации

Сводный результат по всем сигналам аудита.

60из 100Средне
Проверка ИИ-оптимизации: 05.11.2026Публичные технические данные

О сайте

MongoDB — компания-разработчик одноимённой документной базы данных, основанная в 2007 году со штаб-квартирой в Нью-Йорке. Сайт описывает облачную платформу Atlas с вариантами развёртывания Core и Infinite, локальные редакции Enterprise Advanced и Community Edition, а также инструменты Compass и Relational Migrator. Разделы ресурсов включают документацию, обучение, сообщество и материалы для разработчиков.

Платформа:
Next.js

Описание составлено ИИ по llms.txt и главной странице сайта.

Итоговая оценка ИИ-оптимизации

Насколько mongodb.com оптимизирован для работы с ИИ

60/100

mongodb.com прошёл независимый технический аудит llmsmap. Итоговая оценка ИИ-оптимизации домена mongodb.com составляет 60/100: результат объединяет доступность специальных файлов для ИИ, правила краулинга, карту сайта, структурированные данные главной страницы и, когда замер завершён, мобильный технический профиль Google Lighthouse.

Контекст итоговой оценки

Файл llms.txt доступен и содержит — токенов. Расширенный llms-full.txt не найден, поэтому подробный контекст агенту придётся собирать из обычных страниц. Отдельный ai.txt не обнаружен; это не обязательная часть предлагаемого формата llms.txt, но такой файл может явно описать политику обучения, цитирования и автоматического доступа.

robots.txt доступен. Из 11 отслеживаемых ИИ-ботов 11 не заблокированы. Объявлено карт сайта: 1. На главной не обнаружена Schema.org-разметка. OpenGraph-тегов найдено 0, расчётная полнота публичной разметки — 0%. Без сущностей и связей ИИ сложнее однозначно определить организацию, продукт и канонические страницы.

Замер Google Lighthouse ещё собирается. После завершения в итог будут с ограниченным весом добавлены производительность, доступность, технические практики, SEO и экспериментальные сигналы для браузерных агентов.

Подтверждённые сильные стороны

  • llms.txt доступен
  • Объявлено sitemap: 1

Приоритетные улучшения

  1. 1Добавить llms-full.txt с расширенным контекстом ключевых разделов.
  2. 2Добавить JSON-LD для организации, сайта и основных сущностей.
  3. 3Дополнить OpenGraph и канонические метаданные главной страницы.
Токены llms.txt—
Токены llms-full.txt—
ai.txt
sitemap.xml

Технический профиль Google Lighthouse

Данные Google временно недоступны. Независимая итоговая оценка ИИ-оптимизации от llmsmap остаётся актуальной.

Проверки ИИ-оптимизации

Машиночитаемые файлы, правила краулинга, обнаружение страниц и разметка главной.

llms.txt

Файл найден и доступен

https://mongodb.com/llms.txt
llms-full.txt

Полная версия не найдена

ai.txt

Файл ai.txt не найден

robots.txt

Файл найден

https://mongodb.com/robots.txt
Sitemap в robots.txt1 шт.

Найдено карт сайта: 1

Schema.org (JSON-LD)

Разметка Schema.org не найдена на главной

OpenGraph

OpenGraph теги не найдены на главной

Доступ ИИ-ботов

На основе анализа robots.txt

GPTBotНе упомянут
OAI-SearchBotНе упомянут
ChatGPT-UserНе упомянут
Google-ExtendedНе упомянут
ClaudeBotНе упомянут
Claude-SearchBotНе упомянут
Claude-UserНе упомянут
BytespiderНе упомянут
CCBotНе упомянут
PerplexityBotНе упомянут
Perplexity-UserНе упомянут

Карты сайта

Объявленные маршруты для поисковых роботов и ИИ-агентов.

# MongoDB

> MongoDB is the world’s leading modern, general-purpose document database used by over 67k customers worldwide. Founded in 2007, MongoDB, Inc. is headquartered in New York and trades on NASDAQ as MDB. Built for AI-ready applications, MongoDB Atlas database platform ensures unmatched resilience, scalability, and enterprise-grade security. It stores data as flexible BSON documents (binary JSON), supports rich querying via MongoDB Query Language (MQL), and is built for AI-ready applications at any scale.

## About this site

> **mongodb.com** is the primary web presence for MongoDB, Inc.

- Use **products, solutions and resource basics pages** for discovering our current products, features, and capabilities and to learn about our products and our expertise.
- Use **[technical documentation index](https://www.mongodb.com/docs/llms.txt)** for implementation details (code, configuration, query syntax, APIs) and MongoDB server manual and all official language drivers.

## Key Facts

- **Atlas deployment options**: Atlas Core and Atlas Infinite run the same MongoDB database, drivers, and APIs, with no application code changes. Atlas Infinite separates compute and storage, stores up to 128 TB per HA shard, and bills storage by data stored. Atlas Core attaches compute and storage (up to 4 TB per HA shard), supports multi-region clusters on AWS, Azure, and Google Cloud, and includes the Free and Flex tiers. Choose Infinite for unpredictable or fast-growing workloads, including AI agents. Choose Core for steady workloads, multi-region or multi-cloud clusters, and development tiers.
- **Atlas Infinite availability**: Public preview on AWS for dedicated M10–M60 replica sets in [10] regions. Some Atlas features are not yet supported; see the documentation. 
- **ACID compliant**: Strong consistency with ACID transactions.
- **Serverless**: The Flex Tier combines the flexibility of serverless scalability with predictable, capped costs, avoiding complex and unpredictable billing. 
- **Multi-cloud**: Run a fully managed, multi-cloud Atlas database on AWS, Azure, and Google Cloud.
- **MongoDB 9.0**: Upgrade to our latest faster, more resilient, more observable foundation that has been built to scale mission-critical workloads and AI-powered applications, without a rip-and-replace.

## Key Links

- [Company Information](https://www.mongodb.com/company): Learn about the history of MongoDB, the leadership principles that guide us, and our core values.
- [Products](https://www.mongodb.com/products): Learn about MongoDB products you can use to build the next generation of applications. 
- [Pricing](https://www.mongodb.com/pricing.md): Compare plans and add-on features for Atlas Core and Atlas Infinite clusters. Atlas Core Flex tier combines serverless-style scaling with capped costs of up to $30/month. Atlas Infinite costs are compute and consumption-based.
- [Register](https://www.mongodb.com/cloud/atlas/register): Register for Atlas for free, no credit card required.
- [Try Download](https://www.mongodb.com/try): Download Enterprise Advanced or other MongoDB tools and utilities and get started for free.
- [Version History](https://www.mongodb.com/resources/products/mongodb-version-history): Learn about the latest Atlas 9.0 and understand the timeline and highlights of major MongoDB Server releases.
- [Documentation](https://www.mongodb.com/docs/): Official MongoDB documentation and full technical reference.
- [Solutions Library](https://www.mongodb.com/docs/atlas/architecture/current/solutions-library/): Explore use cases and reference architectures to help kick-start your project.

## Product

- [Fully Managed Cloud Atlas Platform](https://www.mongodb.com/products/platform): Build and scale with an AI-ready, modern intelligent data platform.
- [Fully Managed: Atlas Database](https://www.mongodb.com/products/platform/atlas-database): Focus on innovation instead of infrastructure with Atlas database that supports multi-cloud deployments on AWS, Azure, and Google Cloud.
- [Atlas Deployment Options: Core vs. Infinite](https://www.mongodb.com/products/platform/atlas-database/deployment-options): Compare Atlas Core and Atlas Infinite and pick the option based on scaling, storage limits, pricing model, cloud availability, and preview limitations.
- [Self-Managed: Enterprise Advanced](https://www.mongodb.com/products/self-managed/enterprise-advanced): Our most flexible option where you can run and manage the modern database for production applications by yourself on your infrastructure. Contact Sales for Enterprise Advanced pricing.
- [Self-Managed: Community Edition](https://www.mongodb.com/products/self-managed/community-edition): Develop locally with MongoDB for learning, prototyping, and local development, at no cost.

### Start here

- [Get Started](https://www.mongodb.com/docs/get-started.md): The canonical entry point. Covers Atlas account creation, free cluster setup, connection string retrieval, and first query in your language of choice.
- [Connect to a Cluster](https://www.mongodb.com/docs/manual/connect-to-cluster.md)
- [Deploy a Free Atlas Cluster](https://www.mongodb.com/docs/atlas/tutorial/deploy-free-tier-cluster/): Free forever, no credit card required. Takes under 15 seconds to provision.
- [Atlas Documentation Home](https://www.mongodb.com/docs/atlas/): Full Atlas reference.
- [Server Manual](https://www.mongodb.com/docs/manual/): Core MongoDB reference for query language, data modeling, indexing, replication, and sharding.
- [Get Started with MCP Server](https://www.mongodb.com/docs/mcp-server/get-started/): Installation via `npx`, JSON configuration, connecting to Atlas or self-managed.

## AI and Vector Search Capabilities

- [Atlas Agent Engine](https://www.mongodb.com/products/platform/atlas-agent-engine): Build, deploy, scale, and govern AI agents on the same platform so your agents work on the data you already have, right where it lives.
- [Embedding and Reranking Models](https://www.mongodb.com/products/platform/ai-search-and-retrieval): Build AI applications and agents with Voyage AI by MongoDB, state-of-the-art embedding and reranking models accessible via standalone API or natively in Atlas.
- [Voyage AI Documentation](https://www.mongodb.com/docs/voyageai/)
- [Vector Search](https://www.mongodb.com/products/platform/atlas-vector-search): Store embeddings alongside application data and run your queries all within the same database.
- [Build with AI](https://www.mongodb.com/docs/build-with-ai.md)
- [MCP Server Overview](https://www.mongodb.com/docs/mcp-server/overview.md)
- [Get Started with MCP Server](https://www.mongodb.com/docs/mcp-server/get-started.md): Install and configure the MongoDB MCP Server.

## Other Platform Services and Capabilities

- [Atlas Search](https://www.mongodb.com/products/platform/atlas-search): Add full-text search directly on your operational data without a separate search engine.
- [Atlas Search Documentation](https://www.mongodb.com/docs/search/)
- [MQL Reference](https://www.mongodb.com/docs/manual/reference/mql.md): Top-level reference for query predicates, aggregation pipeline stages, and CRUD commands.
- [Run Anywhere](https://www.mongodb.com/products/capabilities/run-anywhere): Run MongoDB across any environment as it is designed for resilience across cloud providers from one managed cluster.
- [Atlas Stream Processing](https://www.mongodb.com/products/platform/atlas-stream-processing): Continuously read, transform, and route streaming data using the MongoDB aggregation pipeline.
- [Auto Scaling](https://www.mongodb.com/products/capabilities/auto-scaling): Scale your MongoDB Atlas clusters with zero downtime.
- [Observability](https://www.mongodb.com/products/capabilities/observability): MongoDB observability tools provide visibility and native insights into cluster health.
- [Security](https://www.mongodb.com/products/capabilities/security): Our built-in security controls and customizable guardrails reduce risk.

## Developer Tools

- [Ephemeral Clusters](https://www.mongodb.com/products/tools/atlas-ephemeral-clusters): Instantly create a live Atlas Ephemeral Cluster with no Atlas account required.
- [Compass](https://www.mongodb.com/products/tools/compass): Free GUI tool for data exploration.
- [Atlas CLI](https://www.mongodb.com/products/tools/atlas-cli): Command-line tool for managing Atlas.
- [MongoDB Shell](https://www.mongodb.com/products/tools/shell): Programmatic solution to interact with your database.
- [Relational Migrator](https://www.mongodb.com/products/tools/relational-migrator): Simplify your move to MongoDB.
- [Mongosync](https://www.mongodb.com/products/tools/mongosync): Migrate data between separate MongoDB clusters.

## Use Cases

> Description: All the use cases where MongoDB can improve and scale strategic and mission-critical initiatives. 

- [Artificial Intelligence](https://www.mongodb.com/solutions/use-cases/artificial-intelligence)
- [Legacy Modernization](https://www.mongodb.com/solutions/use-cases/modernize)
- [Intelligent Search](https://www.mongodb.com/solutions/use-cases/intelligent-search)
- [Payments Experience](https://www.mongodb.com/solutions/use-cases/payments)
- [Serverless Development](https://www.mongodb.com/solutions/use-cases/serverless)
- [Gaming](https://www.mongodb.com/solutions/use-cases/gaming)
- [Edge and Mobile](https://www.mongodb.com/solutions/use-cases/edge-and-mobile)

## Data Basics

> Description: Educational reference pages defining core database and AI concepts.

- [NoSQL Database](https://www.mongodb.com/resources/basics/databases/nosql-explained)
- [Document Database](https://www.mongodb.com/resources/basics/databases/document-databases)
- [AI Database](https://www.mongodb.com/resources/basics/ai-databases)
- [Acid Transactions](https://www.mongodb.com/resources/basics/databases/acid-transactions)
- [Agent Memory](https://www.mongodb.com/resources/basics/artificial-intelligence/agent-memory)

## Additional Resources

- [Blog](https://www.mongodb.com/company/blog): Technical tutorials, MongoDB best practices, and industry news.
- [Customer Case Studies](https://www.mongodb.com/solutions/customer-case-studies): Customer success stories.
- [Contact Us](https://www.mongodb.com/company/contact): Get in touch with our team for sales and technical inquiries.
- [Login](https://account.mongodb.com/account/login): Log into your MongoDB account.
- [Support](https://www.mongodb.com/services/support): For Atlas and Enterprise customers.
- [Events](https://www.mongodb.com/events/mongodb-local): Learn from experts at MongoDB.local events.
- [MongoDB Trust Center](https://www.mongodb.com/products/platform/trust): We are dedicated to securing and protecting your data.
- [Community](https://www.mongodb.com/community): Hub for user groups, programs, and discussions.
- [MongoDB University](https://learn.mongodb.com): Free self-paced courses and certifications.
- [GitHub](https://github.com/mongodb/mongo)
- [Developer YouTube](https://www.youtube.com/@MongoDBDevelopers)

Last-Modified: 2026-09-29
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