Where to put what your company knows, compared on the question that actually decides it: are you writing for your own team or for your customers?
LC
Louis CorneloupFounder, Dupple · 600,000+ readers · Updated Aug 2026
Independently researched. No pay-for-placement.5 tools compared
TL;DR
Most teams are choosing between two different products without realising it. For an internal wiki where the whole company writes, Notion at €9.50 per member per month on Plus is the pragmatic default and the one people actually use. For developer and product documentation that lives next to the code, GitBook is free for one user and $65 per site per month on Premium. For a customer-facing help center attached to your support inbox, Help Scout includes a Docs site free and gives you two on Standard at $25 per user per month. Document360 and Guru are both quote-only, and that pricing model tells you exactly who they are built for.
Knowledge base software has one of the widest quality gaps in business tooling, and it is almost never about features. Every product on this list can store a document, nest it in a folder and search the text.
The ones that work are the ones people actually write in, and the ones that fail are the ones where the knowledge base becomes a graveyard of half-finished pages nobody trusts.
That makes the buying decision less about the feature table than about matching the tool to the writer.
An engineer documenting an API and a support lead writing a refund policy want opposite things: one wants version control and a pull request, the other wants a WYSIWYG editor and a publish button. Buy the wrong one and adoption quietly dies, which is a far more expensive failure than picking a plan that costs ten dollars more.
Top Picks
Based on features, real-world fit, and value for money.
Best for: Internal wikis where the whole company contributes
PricingFree €0 per member/month. Plus €9.50 per member/month. Business €19.50 per member/month. Enterprise custom. Annual billing saves up to 20%. Prices as shown in EUR; USD and other currencies available
+Adoption is the killer feature: people write in Notion because they are already in Notion
+Databases turn a wiki into something structured, so process docs can carry owners and review dates
+The cheapest real option per seat at €9.50 on Plus, with a free tier that genuinely works for small teams
−Search degrades noticeably once the workspace is large and nobody has archived anything
−Public publishing works but is not a proper help center, with limited control over the reader experience
Best for: Developer and product documentation that should ship with the code
PricingFree $0 per site/month including 1 user. Premium $65 per site/month billed annually, plus $12 per additional user/month. Ultimate $249 per site/month annually, plus $12 per user/month. Enterprise custom
+Two-way Git sync means documentation is reviewed in a pull request rather than remembered later
+Interactive API playgrounds and preview deployments, which is what technical docs actually need
+Free tier is real for a solo maintainer, and per-site pricing suits one big public doc set
−Per-site pricing gets expensive fast if you want several separate documentation properties
−The Git-centric workflow is a barrier for non-technical writers, which limits it as a company-wide wiki
Best for: Customer-facing help centers that need to be wired into support
PricingFree $0/month with 1 Docs site and 100 contacts/month. Standard $25 per user/month (2 Docs sites). Plus $45 per user/month (3 sites). Pro $75 per user/month (5 sites). Additional Docs sites $20/month. AI Answers billed at $0.75 per resolution. 16% off on annual billing
+Docs sits next to the shared inbox, which closes the loop between repeated questions and published answers
+A usable Docs site on the free plan, so you can prove the concept before paying
+AI Answers priced per resolution at $0.75, which is unusually honest: you pay when it works
−Per-user pricing means the knowledge base cost scales with your support headcount, not your article count
−Built for customer-facing content, so it is the wrong shape for an internal engineering wiki
A knowledge base is a searchable, structured store of what your organisation knows, and it comes in three shapes. An internal wiki is written by everyone for everyone: onboarding, process, decisions.
Product or developer documentation is written by a small group for external readers, usually versioned and often synced from a repository. A customer-facing help center is written by support to deflect tickets, and it lives or dies on how well it is wired into the channel where customers actually ask.
Some tools genuinely span two of these. None does all three well, whatever the homepage says.
Why it matters
The measurable payoff is ticket deflection and onboarding time, and both depend on search rather than storage. A knowledge base whose search returns the right article makes support cheaper every month; one that returns nine near-duplicates trains people to ask a human instead, which is the failure mode almost every neglected wiki reaches.
This is where AI answers have genuinely changed the category: retrieval over your own content now works well enough to matter, but it also amplifies whatever is in there. Point an AI answer engine at three contradictory versions of your refund policy and it will confidently pick one.
Content hygiene is not optional once you turn AI on, it is the prerequisite.
Key features to look for
Internal versus external audienceEssential
Whether the tool is built for a team writing to itself or for a public help center. This single question eliminates most of the market before you compare anything else.
Search qualityEssential
Full-text search is the floor. What matters is ranking, synonym handling and whether search surfaces the current version rather than the 2024 draft someone forgot to archive.
AI answers over your content
Retrieval-augmented answering that cites the source article. Genuinely useful, and priced separately often enough that you should check before assuming it is included.
Editing and review workflow
Draft states, reviewers and scheduled re-verification. Without a review cycle, every knowledge base decays into pages nobody dares delete and nobody trusts.
Git sync and versioning
For technical documentation, whether content lives in a repository and ships through pull requests, so docs move with the code rather than three weeks behind it.
Permissions and publishing modelEssential
Granular access for internal spaces, and clean public publishing with a custom domain for external ones. Mixing both in one tool is where permission accidents happen.
Mistakes to avoid
×Buying one tool for both the internal wiki and the customer help center. The audiences want opposite editors and opposite permission models, and the compromise satisfies neither. Two cheap tools beat one expensive tool trying to span both.
×Turning on AI answers before cleaning the content. Retrieval amplifies whatever is in the base, so three stale versions of a policy produce a confident wrong answer with a citation attached, which is worse than no answer at all.
×Launching without owners and review dates. Every knowledge base is accurate on day one. What separates the ones alive at month eighteen is that each article has a named owner and a date at which someone has to re-confirm it.
Expert tips
→Seed the base from your support inbox, not from a blank page. The twenty questions your team answered most often last month are the twenty articles worth writing first, and they are the ones that will deflect tickets immediately.
→Measure search failures, not page views. The queries that returned nothing useful are your content roadmap; the pages people already find are not the problem.
→Check whether AI answers are included or metered before you commit. Help Scout charges $0.75 per resolution, others fold it into the tier, and a few price it as a separate suite. At volume this line item can exceed the subscription.
The bottom line
Answer the audience question first and the shortlist writes itself. Internal wiki for a whole company: Notion at €9.50 per member per month, because the tool people already have open is the tool they will write in. Technical documentation that must stay in step with the code: GitBook, free for one maintainer and $65 per site per month on Premium.
Customer help center that should reduce tickets: Help Scout, which gives you a Docs site free and ties it to the inbox where the questions arrive. Document360 and Guru are the right calls at real scale, particularly for multi-language documentation or enforced verification cycles, but both are quote-only, so budget a sales cycle rather than a checkout.
Whichever you pick, assign owners and review dates on day one; that habit matters more than the logo.
Frequently asked questions
What is the difference between a knowledge base and a wiki?
In practice, a wiki is written by everyone for internal use and is loosely structured, while a knowledge base is more curated, usually has an explicit article workflow, and is often customer-facing. Notion is a wiki that many teams use as a knowledge base; Document360 and Help Scout Docs are knowledge bases proper. The distinction matters mostly because it predicts who is willing to write in it.
Do I need a dedicated tool, or can I just use Notion or Google Docs?
For an internal wiki under about fifty people, Notion is genuinely sufficient and the cheapest path. You need a dedicated tool when the content is customer-facing (you want a branded help center, SEO-visible articles and ticket deflection), when it is versioned alongside code, or when you need enforced review cycles. Google Docs is the one option to avoid: it has no structure and no search worth the name at scale.
Are AI answers over a knowledge base actually useful?
Yes, with one condition. Retrieval over your own documented content works well now and cites its source, which makes it checkable. But it inherits the quality of the base: if two articles contradict each other, the model picks one and sounds certain. Clean and de-duplicate before enabling it, and check whether it is included in your plan or metered per resolution.
How do I stop the knowledge base going stale?
Give every article a named owner and an expiry date, and make re-verification a recurring task rather than a spring clean. Tools like Guru enforce this natively; in Notion you can do the same with a database property and a filtered view of everything past its review date. The mechanism matters less than the fact that somebody is accountable for each page.
