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DispatchSEO

Open-source SEO manager driven by the AI you already pay for: the ordinary

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For agents: Open-source SEO manager driven by Claude or a coding agent: research, content shipped to your repo, and rank tracking on self-hosted or cloud infrastructure.</b

seoopen-sourcerank-trackingai-agentclaudeself-hosted

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46 reach 0 · trust 6 · quality 25 · freshness 15
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listed
llms.txt
https://dispatchseo.com/llms.txt
llms-full.txt
https://dispatchseo.com/llms-full.txt
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12
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51
Size
14327 bytes
Registered
2026-07-13
Country
United States Hosting inference
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Categories
Marketing · AI agents and MCP
For agents
Documentation: developer or product docs worth reading, nothing to call
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Audience
developers · agents can: read docs · en
First seen
2026-10-24T13:04:00.121Z
Last checked
2026-10-24T13:04:01.927Z
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Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-24T13:04:00.134Z. Cached copy · Source on dispatchseo.com

# DispatchSEO

> Open-source SEO manager driven by the AI you already pay for: the ordinary
> Claude app at claude.ai, a coding agent (Claude Code, Codex, Cursor), or any
> other MCP client. Your AI already knows your product, so DispatchSEO gives
> it the missing half: keyword research it can act on, articles that ship as
> pull requests to your own repo or straight into self-hosted WordPress, rank
> tracking, and a human approval dashboard. Self-hosted with one Docker
> command, AGPL-3.0. A hosted version exists at dispatchseo.com, but
> self-hosting has zero feature limitations.

## What it is, in one paragraph

DispatchSEO is a backend, not a writer. It stores state (a suggestions queue,
keywords, published pages, rankings, Search Console stats, backlink
prospects), runs schedules (daily rank checks, hourly GSC snapshots, a nightly
content builder), and gates everything behind a human approval step. The
thinking - research, judgement, writing - happens in your own AI: the Claude
app at claude.ai, or a coding agent (Claude Code, Codex, Cursor), which talks
to DispatchSEO over MCP. That split is deliberate: your AI already has your
product knowledge, so it does not need to crawl your homepage to guess at it.

## Key facts

- The MCP server is at /api/mcp (streamable HTTP, bearer token per project).
  The bearer token IS the tenant selector - one deployment manages many sites.
- The MCP exposes state only: reads and writes against the queue, keywords,
  pages, rankings, GSC stats, prospects, plus a get_instructions tool that
  serves the agent playbook. Keyword research and content generation happen in
  the agent, not on the server.
- Anything the dashboard can do, the agent can do over MCP. Parity between the
  two is a hard rule in the codebase.
- Two ways to connect an AI. A coding agent (Claude Code, Codex, Cursor)
  connects over MCP from a terminal, or the ordinary Claude app at claude.ai
  is pointed at the same server as a custom connector on any paid Claude plan,
  writes on the owner's own subscription, and hands the finished article back.
  ChatGPT is not supported yet; the Gemini app cannot connect outside tools at
  all.
- Content reaches your site one of two ways. For a self-hosted WordPress site,
  articles are posted through its own API, with cover image, internal links and
  schema already in place. For a code-built site, they arrive as pull requests
  to your GitHub repo, opened by the coding agent or by DispatchSEO itself when
  the article came from the Claude app; human approval is the default and
  automatic merge is opt-in.
- So you need either a self-hosted WordPress site or a site whose source lives
  in a Git repo. Hosted site builders (Wix, Squarespace, Shopify, Webflow) have
  neither, and are not supported. A coding agent is not required for either
  one.
- Data tiers stack: Google Search Console only (free), + a free SerpApi key
  (live SERP checks), + DataForSEO (volume and difficulty, pay per call).
- You bring y
…

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2. Publish the proof: add the line "AgentWebMap ownership: <token>" (token from step 1) to https://dispatchseo.com/llms.txt, or use the DNS, meta-tag or well-known method the response describes.
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