Documentation
that agents can read.

DocsAlot turns scattered help-center articles, knowledge-base, and developer docs into one source of truth for humans and AI agents. Your docs show up in AI answers, onboarding gets faster, and agents stop reading stale context.

Try DocsAlot →See the free audit

Get started with the CLI if you are an agent.

npm install -g docsalot-cli && docsalot auth login
02 · The product

One hosted surface. Two audiences.

A fast, navigable docs site for humans — mirrored as structured outputs for every agent that recommends, supports, or integrates your product.

docs.docsalot.dev →
DocsAlot Quickstart Guide documentation
Agent view
Same page, served as llms.txt + skill.md. Claude, ChatGPT and Cursor pull it at /acme/skill via MCP — no crawling, no guesses.
03 · Public benchmark

Publish the docs, then prove the quality.

DocsAlot does not stop at hosting agent-readable docs. It also turns them into a public benchmark surface that prospects, partners, and operators can inspect for themselves.

/benchmarks/docs →
Why this matters

One benchmark surface for discovery, proof, and follow-up.

Instead of saying your docs are ready for agents, you can point people to a living leaderboard, a transparent methodology, and a detail page that explains how these docs actually perform.

Explore the leaderboard →Score one docs site
01
Leaderboard

Browse the public rankings instead of taking AI-readiness claims on faith.

Search docs sites, filter by category, and see which teams are actually easy for agents to navigate.

02
Methodology

Inspect the checks behind every score.

The benchmark surfaces machine-readable signals like llms.txt, markdown parity, structure, examples, and agent-facing navigation.

03
Detail pages

Open a shareable report for these docs, with strengths, gaps, and next steps.

Each result turns the score into something a team can inspect, discuss, and improve over time.

04 · AI distribution layer

Every doc, published three ways.

When you publish to DocsAlot you get the human docs site, the machine-readable map, and a hosted MCP server. Agents get a canonical source, and your team gets AI discoverability without extra publishing work.

llms.txt

A map of your docs, in one file.

A compact, structured table-of-contents that LLMs read first — so ChatGPT and Claude route to the right page instead of crawling the whole site.

# Acme > Payments infra for agents. ## Guides - [Auth](/guides/auth.md): bearer tokens, rotation, scopes. - [Webhooks](/guides/webhooks.md): delivery, retries, signatures. ## Reference - [REST API](/api.md) - [CLI](/cli.md) - [SDKs](/sdks.md)
skill.md

A packaged skill for any agent.

Your docs compiled into an agent-ready skill with examples, snippets and task prompts. Drop it into Claude, Cursor, Cline, Aider or Kilocode and the agent instantly gets the right context for your product.

--- name: acme-payments version: 1.4.0 when_to_use: | Charging cards, issuing refunds, reading webhook events. --- # Core tasks 1. create_payment(amount, currency) 2. refund(payment_id, partial?) 3. handle_webhook(event)
MCP

A hosted server agents can call.

Every DocsAlot project gets a hosted mcp.docsalot.dev/* endpoint with search, page fetch and runnable examples — no infrastructure, no lambda wiring, no drift.

GET https://mcp.docsalot.dev/acme { "tools": [ { "name": "search_docs", "args": { "q": "string" } }, { "name": "get_page", "args": { "path": "string" } }, { "name": "run_example", "args": { "id": "string" } } ] }
05 · Capabilities

Everything you'd build in-house, already built.

09 capabilities
✎
F01

Creation & cleanup

Start from zero or fix what's fragmented. We write first drafts from your product surface and tidy the rest into a navigable spine.

⇄
F02

Sync from code

Pull OpenAPI, CLI --help, README and source comments. Ship a changelog and the docs update on the next deploy.

⌖
F03

Structured for AI

llms.txt, skill.md, frontmatter and stable anchors — produced automatically so your pages are the canonical source for agents.

⚑
F04

Hosted MCP server

search_docs, get_page, run_example — hosted per project at mcp.docsalot.dev/you. Connect in Claude in one paste.

⊞
F05

Help center & KB

Public help center, internal KB, API reference, CLI docs — one editor, one publish, four surfaces.

◎
F06

SEO + GEO

Clean canonical URLs, schema.org FAQ / HowTo, sitemaps and prompt-answer-friendly structure so you show up in search and in AI answers.

≋
F07

Versioning & previews

Branch, preview, diff, approve. Every PR gets a preview URL, including llms.txt.

✦
F08

Done-for-you setup

Our migration team imports Intercom, Zendesk, Notion, README and Confluence into a clean DocsAlot tree, then helps you review the structure before launch.

◐
F09

Answer analytics

See which pages agents cite, which queries fall off, and which docs convert. Then fix them in one click.

06 · Who it's for

Built for the person holding the docs debt.

Founder / CEO

Launch docs that convert

Ship a docs site that turns visits into trials without a docs hire.

→ onboarding · activation
CTO / Founding eng

Dev docs without the overhead

Keep API, CLI and SDK docs in lockstep with every deploy.

→ integrations · support load
Head of support

Deflect repeat tickets

Turn stale help-center articles into a current KB your agents also read.

→ deflection · CSAT
Product marketing

Show up in AI answers

Be the cited source when someone asks ChatGPT about your category, use case, or product space.

→ GEO · discoverability
07 · What operators say

Docs they stopped apologizing for.

Lead proof
"Fantastic stuff! The introduction perfectly nails the Mako Code's idea. I particularly enjoyed the Technical Deep Dive with its explained code snippets, and the Project Architecture's file tree was both cool and useful."
HE
Hoyt Emerson
senior product manager · brillio
View docs ↗
"The docs generated are great, super impressive — has the schema, architecture, everything. Auto-sync functionality is a game changer. Loved it."
JA
Jawad Ali
head of engineering · masonhub
View docs ↗
"We were looking into Mintlify/GitBook for our docs, but were disappointed. Super expensive ($300) for the value they were offering. Switched to DocsAlot and couldn't be happier."
VB
Vishvesh Bhat
founder · corethink ai
View docs ↗
08 · Pricing

Flat. Founder-friendly. Migration support available.

Every plan ships with llms.txt, skill.md and a hosted MCP server. No extra fees to make your docs readable by agents and discoverable in AI answers.

usd · billed monthly
Startup
$0/ forever

For solo founders and small startups.

  • Update help-center articles with AI (limited quota)
  • AI suggestions
  • Connect 10+ integrations
  • AI Help Center widget
  • 2 included languages
  • Unlimited collaborators
Start free
Team
$99/ month

For teams scaling their self-service.

  • All Startup features, plus:
  • Custom domain
  • Private help centers
  • Custom subfolder hosting
  • Up to 250 AI messages free
  • Unlimited AI publishing
  • 5 included languages
Start free trial →
Enterprise
Custom/ talk to us

Full control + AI visibility & dev marketing.

Email sales
  • All Team features, plus:
  • SDK generation & maintenance
  • Human audits of docs & SDKs
  • SSO (SAML) + priority support
  • Custom integrations
  • AI visibility audits
  • Custom blog posts & newsletter
  • Unlimited team members
09 · FAQ

Common questions.

If yours isn't here, email faizank@docsalot.dev.

What is llms.txt and why do I need it?
llms.txt is an emerging standard — a compact, structured table of contents at your site root that gives LLMs a canonical map of your docs. When a user asks ChatGPT or Claude about your product, llms.txt helps them answer using your actual pages instead of guessing or crawling outdated content.
What's different about DocsAlot's MCP server?
Every project gets a hosted MCP endpoint at mcp.docsalot.dev/yourco with search_docs, get_page, and run_example tools. You paste one URL into Claude, Cursor, or your agent — no hosting, no lambda wiring, no drift because it reads the same pages you publish.
Do you support migration from Intercom / Zendesk / Notion?
Yes. Our done-for-you Docs Pack supports migration from almost any source — Intercom, Zendesk, Notion, Confluence, README, raw Markdown, or Google Docs — into a clean DocsAlot tree. We scope the migration around your current stack and content volume, then help you launch from a cleaner structure.
Is this just a CMS?
No. A CMS publishes pages. DocsAlot publishes pages + llms.txt + skill.md + a hosted MCP server, and keeps them honest by flagging drift against your code. The difference is whether agents can find, trust and cite your docs.
Can I host on my own domain?
Team and Enterprise customers can host on a subdomain of their choice, e.g. docs.yourco.com. SSL is automatic.
What does the Free AI Visibility Audit include?
We run your domain through the same checks we use internally — does it have llms.txt, is it discoverable via MCP, is the information architecture agent-legible, and which high-intent prompts you currently miss in AI answers. We send a 4–6 page report with fixes you can implement yourself.
FREE · 48H TURNAROUND

AI Visibility Audit for your docs

We grade your site on llms.txt, MCP-readiness, IA legibility, and the prompts you currently miss in AI answers. Free, no call required.

Request audit by email →
10 · Ship it

Your docs are already being read by agents.
Make sure they read the right version.

Try DocsAlot →Email the team
no credit card · migration help available · cancel anytime