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27 Listings in Knowledge Base Available
Docmost is an open-source collaborative wiki and documentation platform that gives teams a modern, Notion- and Confluence-style knowledge base they can self-host and fully control. It provides a real-time collaborative editor with rich content - diagrams, tables, math formulas, LaTeX, and embeds - so teams can write, organize, and share knowledge without sending their data to a closed SaaS. The platform organizes content into spaces for teams or projects, with a permissions system, groups for managing privileges, comments for discussion, page history, full-text search, file attachments, and Markdown and HTML import and export. With a modern editing experience and real-time simultaneous editing, it aims to match the usability of proprietary tools while keeping data ownership. Docmost is free and open source to self-host, and also offers a managed cloud with Standard around 8 dollars per user per month and Business around 12 dollars per user per month for teams that prefer a hosted option, plus Enterprise. With over 20,000 GitHub stars and active development, it is a production-ready choice for teams that want a self-hostable Notion or Confluence alternative. It competes with BookStack, Outline, Confluence, Slite, and Notion.
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GitBook is a documentation platform for creating and publishing beautiful, structured docs, product documentation, developer/API references, internal wikis, and knowledge bases. It pairs a clean block editor with a Git-based workflow (two-way sync with GitHub/GitLab), so writing docs can live alongside code and follow docs-as-code practices. GitBook is especially popular for public developer and API documentation, offering interactive API playgrounds, versioning, and AI features that let both readers and AI tools query the content. The platform blends authoring, publishing, and AI. A modern editor with reusable blocks and page structure makes docs easy to write and maintain; two-way Git sync keeps docs versioned with rollback; and custom domains, SEO, and theming produce a polished published site. GitBook adds interactive API playgrounds, page analytics, an MCP server and LLM optimizations so AI tools can read your docs, and a GitBook AI Agent/Assistant that answers questions from your documentation. Its focus on developer-friendly, AI-ready documentation differentiates it from general wikis. GitBook serves software companies, developer-tools teams, and organizations publishing product and API docs. Pricing is per site plus per editor: a Free plan (1 user, publish on a gitbook.io subdomain, limited AI), a Premium plan around $65/site/month (billed annually) with custom domains and AI, an Ultimate plan around $249/site/month, and custom Enterprise, with additional editors around $12/user/month. It competes with Mintlify, ReadMe, Document360, and Notion, differentiating on developer-focused docs with Git sync, API playgrounds, and AI.
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Explore how leading Knowledge Base solutions compare based on customer satisfaction, market presence, adoption, and buyer feedback. The Market Grid helps you identify category leaders, high-performing solutions, and emerging products within the Knowledge Base ecosystem.
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Help Scout is a customer support platform built around a simple idea: support should feel personal, not like a ticketing system. Its shared inbox looks and works like familiar email, no ticket numbers shouted at customers, while giving teams the collaboration they need behind the scenes: assignments, private notes, collision detection, saved replies, and workflows. That human-feeling experience is why customer-centric small and mid-sized companies favor it. Around the inbox, Help Scout bundles the rest of a modern help desk: Docs (a knowledge base for self-service help centers), Beacon (an embeddable widget for in-app help and chat), live chat and messaging, and customer profiles with context from past conversations. It has added AI features, AI-drafted replies, summaries, and AI Answers that resolve common questions, plus reporting and CRM integrations, so teams can scale support without losing the personal touch. Help Scout suits small and mid-sized businesses, SaaS companies, and ecommerce brands that want approachable, human customer support rather than a heavy enterprise ticketing tool. Pricing is per user across a free plan and Standard, Plus, and Pro tiers, so cost scales with team size and the features you need.
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Jira Service Management is Atlassian's IT service management (ITSM) and help desk platform, built on the same engine as Jira Software so development and operations teams work in one place. It handles the core service desk workflows, request and incident management, change enablement, problem management, and a knowledge base, behind a self-service portal that lets employees and customers raise and track tickets. Because it sits inside the Atlassian ecosystem, it links tickets directly to Jira issues, Confluence documentation, and Opsgenie alerting, which makes it a natural fit for DevOps and internal support teams already using Atlassian tools. Automation rules, SLA tracking, queues, and asset/configuration management round out the platform, with AI virtual agents available on higher tiers. It is billed per agent (the people resolving tickets), not per employee raising them.
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Whale is a knowledge and training platform that helps growing teams document standard operating procedures, onboard staff, and keep processes consistent, with AI assistance to draft and organize content. It surfaces the right SOPs in context and tracks who has read and understood them. Whale targets SMBs, franchises, and operations teams that need to scale processes and training. Pricing is per user per month with tiers, billed in US dollars, with a trial.
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Mintlify is a modern, AI-native documentation platform designed to help software companies ship beautiful, high-performing developer and product docs quickly. Teams write in Markdown (MDX) and OpenAPI, and Mintlify generates a polished, fast documentation site with clean design, powerful search, and interactive API references, all managed through a Git-based workflow so docs stay in sync with code. Its emphasis on developer experience, speed, and AI makes it a popular choice for API-first companies and developer-tools startups. The platform is built around AI and the modern docs workflow. Beyond generating docs from Markdown/OpenAPI, Mintlify includes an AI assistant that answers questions from your documentation, a writing agent to help create and improve content, workflows, and an MCP server so AI tools and agents can consume your docs. Custom domains, analytics, API playgrounds, and Git sync round out the platform, with AI usage metered by credits. Its 2026 model centers on a free Starter tier with full platform access plus a custom Enterprise tier, and AI credits as the main variable cost. Mintlify serves API-first companies, developer-tools teams, and organizations that want fast, AI-enabled documentation. Its 2026 pricing centers on a free Starter plan (full platform access, web editor, custom domains, Git sync, AI assistant, writing agent, MCP server, with an included allotment of AI credits) and a custom Enterprise plan (RBAC, SSO, SLAs, advanced analytics and security, dedicated support, commonly around $1,500/month), with paid AI-credit tiers scaling usage. It competes with GitBook, ReadMe, Docusaurus, and Fern, differentiating on AI-native, developer-first documentation.
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Crisp is an all-in-one customer messaging platform that bundles the tools small and mid-sized businesses need to talk to customers, live chat, a shared team inbox, chatbots, a knowledge base, and campaigns, into one affordable product. Its live chat widget sits on your website or app, while the shared inbox brings together conversations from chat, email, and social channels so a small team can handle everything in one place, with canned responses, routing, and collaboration behind the scenes. What sets Crisp apart is its pricing model: it charges per workspace rather than per seat, so growing teams do not pay more just for adding agents (up to each plan's seat limits), which makes it notably cost-effective compared with per-agent tools. It also includes an AI chatbot (with credit-based AI), a CRM, video calls, a status page, and multichannel messaging (WhatsApp, Messenger, and more), positioning itself as a budget-friendly alternative to pricier support and chat suites for startups and SMBs. Crisp suits startups, small businesses, and lean support teams that want live chat plus a shared inbox, chatbot, and knowledge base without paying per agent. Plans run Free, Mini, Essentials, and Plus (per workspace), plus Enterprise, so cost scales with the features and seat limits you need rather than headcount.
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Nuclino is a lightweight collaborative workspace for team knowledge, a fast, minimal alternative to heavier wiki and docs tools. It centers on speed and simplicity: pages (called items) open instantly, real-time collaborative editing keeps everyone in sync, and internal linking plus a visual graph connect related content so a team's knowledge forms a navigable web rather than a folder maze. Teams use it for internal wikis, documentation, meeting notes, project collaboration, and onboarding. Despite its minimalism, Nuclino offers useful structure. Content can be viewed as a nested list, a Kanban board, a table, or a mindmap-style graph, so the same information supports docs, light project tracking, and knowledge mapping. Real-time editing, comments, mentions, version history, and search keep collaboration smooth, and Sidekick (its AI) helps generate and find content. The deliberate lack of bloat is the point, Nuclino targets teams that find tools like Confluence or Notion too heavy and want something clean and quick. Nuclino serves small and mid-sized teams that value speed and simplicity for their knowledge base. Pricing is straightforward and affordable: a Free plan (up to 50 items and 2 GB storage), a Standard/Starter plan around $5–$6 per user per month, and a Premium/Business plan around $10 per user per month, with an annual discount. It competes with Notion, Confluence, Coda, Slite, and Slab, differentiating on speed, simplicity, and low cost.
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Confluence is Atlassian's team workspace and wiki for creating, organizing, and sharing knowledge. Content lives in spaces (per team or project) and pages that support rich text, tables, diagrams, embeds, and macros, with a tree structure and powerful search so documentation stays findable rather than lost in chat and drives. Templates for meeting notes, product requirements, decisions, and runbooks help teams start fast and keep a consistent format. Its strength is collaboration and connected work. Real-time co-editing, inline and page comments, mentions, and page history keep documents living and reviewable, while whiteboards and databases (newer additions) add visual planning and structured content. Confluence integrates tightly with Jira, linking requirements, epics, and issues to documentation, and with the broader Atlassian suite, plus Rovo AI for search, chat, and agents that answer questions and draft content from your organization's knowledge. Confluence serves engineering, product, HR, and operations teams that need a single source of truth, and scales to the enterprise with permissions, admin controls, SSO, data residency, and compliance. Pricing is per user on annual terms: a free plan for up to 10 users, then Standard and Premium tiers, with Enterprise for large deployments. It competes with Notion, Coda, Microsoft SharePoint, and Document360, differentiating on its wiki structure, Jira integration, and Atlassian ecosystem.
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Zeroheight is a design system documentation platform that helps teams centralize, maintain, and share design guidelines, component libraries, and brand standards in one place. By connecting directly to design tools like Figma and Sketch, it automatically syncs design assets and documentation, keeping design system docs up to date and accessible to designers, developers, and product managers. The platform is a single source of truth for design systems: styleguide generation, design documentation, code snippets, Figma sync, version history, and collaboration. It bridges the gap between design and development by documenting components with both design specs and code, so teams stay aligned on how the design system should be used across products. Zeroheight offers a free plan for single contributors (1 editor, 1 styleguide, basic design-tool connections), a Starter plan at 59 dollars per editor per month unlocking up to 5 editors, 2 styleguides, custom domain, commenting, password protection, and hidden pages, and a custom Enterprise tier with dedicated customer success. It is highly rated for Figma integration and single-source-of-truth documentation. Aimed at design and product teams maintaining design systems, it competes with Storybook, Supernova, Notion, Confluence, and Knapsack.
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ReadMe is a platform for creating interactive API documentation and developer hubs, the polished, explorable docs that make an API easy to adopt. Instead of static reference pages, ReadMe turns your OpenAPI spec into interactive docs where developers can read guides, browse endpoints, and make real API calls right in the browser (with their own keys), see responses, and copy code. It combines reference docs, tutorials/guides, a changelog, and a support/discussion layer into one branded developer hub, and adds analytics so API teams can see how developers actually use their docs and API. The platform is built to drive and measure API adoption. An interactive API explorer ("Try It") lets developers test calls live; guides and recipes teach real use cases; and personalization (via API keys) can show developers their own data and metrics. ReadMe layers in API usage analytics and error insights (so you can spot where developers get stuck), a changelog and versioning, review/approval workflows, and, increasingly, AI features (an assistant, "Owlbert," and MCP support) to help developers and doc authors. Its focus on the developer experience of consuming an API, plus analytics, differentiates it from general documentation or wiki tools. ReadMe serves API-first companies and developer-tools teams that want branded, interactive documentation and adoption insight. It offers a Free plan (core docs), a Startup plan from around $79/month, a Business/Pro plan around $349/month (adding AI features and review workflows), and a custom Enterprise plan (from roughly $3,000/month) with advanced needs; some capabilities (like removing branding and the AI assistant) sit on higher tiers. It competes with GitBook, Mintlify, Stoplight, and Redocly, differentiating on interactive API explorers plus developer analytics.
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Guidde is an AI-powered platform for creating how-to videos and step-by-step documentation from screen captures in a fraction of the time of traditional methods. You record a workflow once, and Guidde turns it into a polished video guide with AI voiceover, captions, and editable steps, so support, product, and enablement teams can document processes without video editing skills. The platform captures browser and desktop workflows, generates narrated videos with 200-plus AI voices across 50-plus languages, and lets you export to MP4, GIF, PPT, and PDF. Features like sensitive-info blur, brand kits, interactive elements, and analytics make it practical for customer support articles, internal training, onboarding, and knowledge bases, with deep integrations into tools like Zendesk, Salesforce, and Slack. Guidde offers a Free plan (up to 25 how-to videos, web-only recording), Pro at 25 dollars per creator per month with unlimited videos, watermark removal, brand kit, and export options, Business at 55 dollars per creator per month adding AI text-to-voice, desktop recording, analytics, and up to five creators, and custom Enterprise with SSO, PII redaction, and multi-language translation. Aimed at support, product, and L&D teams, it competes with Scribe, Zight, Supademo, Arcade, and Tango.
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Knowledge base software lets organizations create, organize, and publish help articles, documentation, and FAQs so customers and employees can find answers on their own. This guide explains what knowledge base software is, how it works, the features that matter, and how to choose the right platform.
Knowledge base software lets organizations create, organize, and publish help articles, documentation, and FAQs so customers and employees can find answers on their own. This guide explains what knowledge base software is, how it works, the features that matter, and how to choose the right platform.
Knowledge base software is a platform for building a searchable repository of articles, guides, and FAQs. An external knowledge base serves customers as a self-service help center, while an internal one gives employees a single source of truth for policies, processes, and product information.
The purpose is to capture organizational knowledge once and make it instantly findable, reducing repetitive questions and support tickets while helping people resolve issues faster. A good knowledge base turns scattered tribal knowledge into structured, maintained content that scales.
The category ranges from simple help-center builders attached to support tools to sophisticated documentation and knowledge-management platforms with workflows, analytics, and AI-powered search. Companies adopt knowledge bases because self-service is faster and cheaper than human support and improves both customer and employee experience.
Authors create and categorize articles using a content editor, organizing them into collections and categories. The content is published to a branded help center or internal portal where users browse or search for answers, and analytics show what people search for and which articles help.
Core components include an authoring and editing interface, content organization (categories, tags, collections), search, a published portal, permissions, and analytics. Integrations surface relevant articles inside support tools, chat widgets, and products so answers appear in context.
For example, a SaaS company writes articles on setup, billing, and troubleshooting, publishes them to a public help center, embeds article suggestions in its support widget and chatbot, and uses search analytics to spot gaps, then writes new articles for the questions customers ask but can't find answers to.
A rich editor with formatting, images, video, and templates for creating clear, consistent articles. Easy authoring matters because a knowledge base is only as good as its content, and friction in writing leads to thin or stale documentation.
Categories, tags, and collections that structure content logically so users can browse and find what they need. Good information architecture is essential, even great articles are useless if buried in a disorganized structure.
Fast, relevant search (increasingly AI-powered) that surfaces the right article from natural-language queries. Search is how most users actually find answers, so its quality directly determines self-service success.
A customizable, mobile-friendly help center that matches your brand and can be public or restricted. A polished, accessible portal makes self-service the easy first choice and reflects well on your brand.
Reporting on searches, article views, helpfulness ratings, and failed searches that reveal what's missing. Analytics turn the knowledge base into a living system, guiding what to write, update, or retire.
Embedding articles in support tickets, chat widgets, chatbots, and products so answers appear where users need them. Surfacing content in context deflects tickets and resolves issues without users hunting through the portal.
Self-service answers deflect routine questions, reducing ticket volume and freeing agents for complex issues.
Customers and employees find answers in seconds instead of waiting for a reply, improving experience and productivity.
A single source of truth ensures everyone gets the same correct information, reducing errors from outdated or conflicting knowledge.
A knowledge base handles unlimited simultaneous users at no marginal cost, absorbing growth without proportional staffing increases.
Agents reuse and link articles inside tickets, resolving cases faster and onboarding new team members more quickly.
| Type | Best for | Ideal size | Pros | Limitations |
|---|---|---|---|---|
| Customer-facing help centers | Public self-service support for customers | SMB to enterprise | Deflects tickets, improves CX, SEO benefits | Requires ongoing content upkeep |
| Internal knowledge bases | Employee policies, processes, and product info | Any | Single source of truth, faster onboarding | Adoption depends on content culture |
| Developer & product documentation | Technical docs, APIs, and guides | Mid-market to enterprise | Versioning and structured docs | More technical to maintain |
| Help-desk-integrated KBs | Knowledge tied directly to support tickets | Any | Seamless agent and customer workflow | Tied to that support suite |
SaaS & Technology: Tech companies use knowledge base software to scale go-to-market motions, align teams, and operate efficiently as they grow.
Manufacturing: Manufacturers apply knowledge base software to manage complex, multi-stakeholder processes across long cycles and distributed operations.
Healthcare: Healthcare and life-sciences organizations use knowledge base software where accuracy, security, and compliance are non-negotiable.
Retail: Retailers use knowledge base software to manage high volumes, personalize engagement, and react quickly to demand.
Financial Services: Banks, insurers, and fintechs rely on knowledge base software for control, auditability, and regulatory compliance.
Education: Institutions and edtech firms use knowledge base software to manage stakeholders and scale programs efficiently.
Real Estate: Real-estate and property teams use knowledge base software to manage long cycles and high-value relationships.
Professional Services: Agencies and consultancies use knowledge base software to deliver client work profitably and forecast accurately.
E-commerce: Online retailers use knowledge base software to unify data across channels and grow customer lifetime value.
Clarify whether you need a customer help center, an employee knowledge base, or both, since requirements for branding, permissions, and search differ.
Evaluate how easy it is to write, format, and maintain articles, since friction here leads to thin or outdated content.
Test search with real questions, especially AI-powered semantic search, because findability is the core of self-service success.
Confirm the platform supports the taxonomy, collections, and volume of content you'll grow into without becoming unwieldy.
Check that it embeds in your support tools, chat, chatbot, and product so answers appear in context.
Ensure you can see searches, failed searches, and article performance to find and fill content gaps.
Verify customization for a branded portal and access controls for public, private, or segmented content.
Look for review reminders, ownership, and workflows that keep content fresh, since stale knowledge erodes trust quickly.
AI-powered semantic search understands natural-language questions and surfaces the right answer even when users don't use the exact keywords in an article.
Generative AI can synthesize direct answers from multiple articles and power conversational help experiences grounded in your knowledge base.
AI assists authors by drafting articles, suggesting updates, flagging stale or contradictory content, and identifying gaps from failed searches.
Expect knowledge bases to become the trusted content layer that grounds AI chatbots and agents; prioritize accurate, well-structured content, since AI answers are only as good as the underlying knowledge.
Knowledge base software is a platform for creating, organizing, and publishing help articles, documentation, and FAQs in a searchable repository. An external knowledge base serves customers as a self-service help center, while an internal one gives employees a single source of truth for policies, processes, and product information. The goal is to capture organizational knowledge once and make it instantly findable, reducing repetitive questions and support tickets while helping people resolve issues faster. Modern platforms include rich authoring, strong search, a branded portal, analytics, and integrations that surface articles inside support tools and products. A well-maintained knowledge base turns scattered tribal knowledge into structured, scalable content.
An external knowledge base is a public or customer-facing help center where customers find answers to questions about your product or service, deflecting support tickets and improving experience. An internal knowledge base is for employees, serving as a single source of truth for company policies, processes, product details, and how-to guides, which speeds onboarding and reduces internal questions. The two differ in branding, access controls, and content style: external content is polished and customer-friendly, while internal content can be more operational and is permission-restricted. Many organizations run both, sometimes on the same platform, and some content overlaps. Choosing a platform that fits your primary need, or both, is an important early decision.
A knowledge base reduces tickets by letting customers find answers themselves instead of contacting support. When common questions, setup, billing, troubleshooting, policies, are answered in clear, searchable articles, many customers resolve their issue without ever opening a ticket. Embedding article suggestions in support widgets, chatbots, and contact forms deflects even more by surfacing relevant content at the moment of need. The effect compounds as content grows and improves. To maximize deflection, track which searches fail to find answers and write articles to fill those gaps. Self-service is faster for customers and far cheaper than human support, making the knowledge base one of the highest-leverage investments in a support operation.
Search is critical, it's how most users actually find answers, so search quality often determines whether self-service succeeds or fails. Even an excellent library of articles is useless if users can't surface the right one quickly. Strong search handles natural-language questions, tolerates typos and synonyms, and ranks the most relevant article first. AI-powered semantic search goes further by understanding intent rather than just matching keywords, and generative features can synthesize a direct answer from multiple articles. When evaluating platforms, test search with the real, messy questions your users ask rather than perfect keyword queries. Also use failed-search analytics to find content gaps, since a search that returns nothing is a clear signal to write a new article.
Keeping content current requires ownership and process, not just good intentions. Assign owners to article sets, set review reminders so articles are revisited on a schedule, and use analytics, low helpfulness ratings, failed searches, high-traffic articles, to prioritize what to update. Tie content updates to product releases and policy changes so documentation evolves with the business. Many platforms support review workflows, version history, and stale-content flags to help. The biggest challenge is usually cultural: getting subject-matter experts to contribute and maintain content. Outdated articles erode trust faster than missing ones, because users act on wrong information, so treating maintenance as an ongoing responsibility rather than a one-time project is essential.
Yes, and integration significantly increases a knowledge base's value. Most platforms connect with help-desk and live-chat tools so agents can search and insert articles directly into ticket replies, and so relevant articles are suggested to customers in support widgets and chatbots before they contact support. Some surface contextual help inside the product itself. These integrations deflect tickets by putting answers where users are, and they make agents more efficient by letting them reuse vetted content instead of writing answers from scratch. When evaluating a knowledge base, confirm it integrates with your specific support stack, and consider whether a help-desk-bundled knowledge base or a standalone platform better fits your workflow and content needs.
AI improves knowledge bases in several ways. Semantic search understands the intent behind natural-language questions, surfacing the right answer even when users don't use exact keywords. Generative AI can synthesize a direct answer from multiple articles and power conversational help experiences grounded in your content. On the authoring side, AI drafts articles, suggests updates, flags stale or contradictory content, and identifies gaps from failed searches. As chatbots and AI agents increasingly rely on the knowledge base as their trusted content source, the quality of that content becomes even more important, AI answers are only as accurate as the underlying knowledge. The practical implication is that investing in clean, well-structured, current content pays off more than ever.
Pricing varies widely. Some knowledge bases are bundled with help-desk suites at no extra cost or low per-agent pricing, while standalone platforms charge per author/contributor, per viewer, or by feature tier. Internal knowledge bases may be priced per employee, and advanced platforms with AI search, multilingual support, and analytics cost more. Total cost should include the effort of creating and maintaining content, which is often larger than the software fee. When budgeting, consider how many authors and viewers you have, which features you need, and whether a bundled or standalone solution fits better. The biggest determinant of value isn't the license price but how consistently you produce and maintain quality content.
Yes, a public, well-structured knowledge base can meaningfully help SEO. Help articles answer the specific, long-tail questions people search for about your product or category, and when they're indexed they attract organic traffic and capture intent at the moment of need. Good knowledge base platforms support SEO fundamentals like clean URLs, metadata, fast mobile-friendly pages, and structured content. Beyond traffic, ranking help content reduces pre-sale questions and supports prospects researching your product. To benefit, organize content logically, write clear titles that match how people search, and keep articles current. While SEO is a secondary benefit behind ticket deflection, for many companies the public help center becomes a significant, durable source of qualified organic visitors.
Ownership models vary, but a successful knowledge base usually has a clear owner, often in customer support, customer experience, or a dedicated knowledge-management role, responsible for structure, quality, and governance, with subject-matter experts across teams contributing content. The owner sets standards, maintains the taxonomy, monitors analytics, and drives the review process, while distributed contributors keep their areas current. For internal knowledge bases, ownership may sit with operations, HR, or IT depending on scope. The key is that someone is accountable for the knowledge base as a living product; without clear ownership, content goes stale and structure decays. Distributing authoring while centralizing governance tends to produce the best balance of coverage and quality.
Measure knowledge base success with metrics tied to its purpose. For external help centers, key metrics include ticket deflection (tickets avoided via self-service), article views and search volume, article helpfulness ratings, failed searches that reveal gaps, and self-service resolution rate. For internal knowledge bases, look at usage, search success, and reductions in repetitive internal questions and onboarding time. Failed searches are especially actionable, since each one points to content you should create or improve. Avoid judging success on volume alone, a knowledge base with many articles but poor findability or stale content underperforms. Tracking these metrics turns the knowledge base into a continuously improving system rather than a static document dump.
Many knowledge base platforms support multiple languages and localization, which matters for businesses serving global audiences. Capabilities range from hosting separate language versions of articles to integrated translation workflows and AI-assisted translation. A multilingual knowledge base lets customers in different regions find answers in their own language, improving self-service and deflection across markets. When evaluating platforms for international use, confirm how they handle content structure across languages, whether translations stay linked to source articles for updates, and how search works per language. Localization adds maintenance overhead, since each language version must be kept current, so consider AI translation features and clear governance to manage the additional content without letting non-primary languages fall out of date.
