citable

citable

[GitHub Marketplace] [PyPI]

Can ChatGPT, Claude and Perplexity actually read and cite your site?

Most "AI visibility" checkers read robots.txt and stop. citable fetches your homepage as each AI bot and reports the blocks that robots.txt never mentions (Cloudflare "Block AI bots", WAF rules, rate limiters), then checks the rest of the list: llms.txt, JSON-LD, title and description, JS-only content, sitemap, canonical. Score out of 100, every failure with the fix. Also runs as an MCP server so your agent can check sites for you.

Zero dependencies. One file. Python 3.9+.

pipx install citable-cli     # from PyPI; on a Mac: brew install pipx first. Or: uvx --from citable-cli citablecitable example.com                # reportcitable example.com --json         # for scripts and CI (exit 1 if below --min-score=N)citable example.com --llms-txt     # a starter llms.txt built from your homepagecitable watch a.com b.com          # weekly watch: GitHub issue per site, comment (email) on regressionscitable track a.com "best X" "how Y"  # prompt tracking: which engines cite you, who gets cited instead

No install at all:

curl -sL https://raw.githubusercontent.com/genzagents/citable/main/citable/__init__.py | python3 - example.com

What a run looks like

citable 0.3.0: https://reddit.com/  score 13/100  grade F   (final URL https://www.reddit.com/)
  [FAIL]  0/15 robots.txt allows answer engines: robots.txt blocks: OAI-SearchBot, ChatGPT-User, Claude-SearchBot, ...  [FAIL]  0/20 Answer engines not blocked at the edge: Fetching the homepage as a bot: ChatGPT-User got HTTP 403; a browser got 200.         fix: Your CDN or WAF (Cloudflare 'Block AI bots', bot-fight mode, a rate limiter) is refusing them ...  [FAIL]  0/15 /llms.txt: /llms.txt returns HTTP 404.  ...  Bot                 Vendor                 Role    robots.txt   live fetch  OAI-SearchBot       OpenAI                 answer  block        HTTP 200  ChatGPT-User        OpenAI                 answer  block        HTTP 403  <- BLOCKED  Claude-SearchBot    Anthropic              answer  block        HTTP 200  ...

What it checks

As an MCP server (Claude Code, Claude Desktop, Cursor, any MCP client)

Tools: check_site(url, live=true) and draft_llms_txt(url).

Claude Code plugin (includes the MCP server and a skill that knows how to act on the report):

claude plugin marketplace add genzagents/marketplaceclaude plugin install citable@genzagents

Any MCP client, by hand:

{ "mcpServers": { "citable": { "command": "python3", "args": ["/path/to/citable/citable/__init__.py", "mcp"] } } }

The server speaks MCP over stdio with no dependencies, so it runs anywhere Python does.

In CI

Fail the build when a deploy breaks AI access (a new WAF rule, a lost llms.txt, a Disallow: / that slipped in):

citable yoursite.com --min-score=70 --json > citable.json

Watch

A deploy that flips a WAF toggle silently removes you from every AI answer. The watch is the alarm. It runs as a GitHub Action in any repo you own (it need not be the site's repo), keeps one issue per site up to date, and comments on that issue the moment an answer bot is blocked, llms.txt disappears, the site goes down or the score drops, which GitHub emails to you. No server, no account, no dependencies. Example: issue #1 watches this project's own page.

Copy docs/watch.yml to .github/workflows/citable-watch.yml:

on:  schedule: [{ cron: "17 6 * * 1" }]   # Mondays  workflow_dispatch:permissions: { issues: write, contents: read }jobs:  watch:    runs-on: ubuntu-latest    steps:      - uses: genzagents/[email protected]        with:          sites: |            example.com            docs.example.com          # min-score: 75

Inputs: sites (required), min-score (fail below it), live (fetch as each bot, default true), issue (track in an issue, default true), notify (login to @mention on a regression, default repo owner), fail-on-regression (default true). Outputs: score, regressed, changed. Same thing from a shell where gh is logged in:

citable watch example.com docs.example.com --repo=you/your-repo --notify=you

Hosted, $12/month (about £9): the same watch run by us, no repo needed, up to 5 domains, with a weekly digest. Live now through GitHub Sponsors:

1. Sponsor genzagents at $12 a month →
2. Open your Hosted watch issue → from the same account. Reports are posted on it (the issue is public).

Track

The watch tells you whether engines can read you. Track tells you whether they do: for the questions you want to be the answer to, does ChatGPT, Claude or Perplexity link to your site, and who gets linked instead?

citable track example.com "best tools for X" "how do I Y" --brand=Example

## citable track: example.com
**Visibility 50%**: share of prompt-and-engine pairs where an answer linked to your site.
| Prompt | anthropic | openai | perplexity ||---|---|---|---|| best tools for X | **cited** | mentioned | **cited** || how do I Y | no | no | no |
**Who gets cited instead** (answers citing them): rival.io (4), other.org (2)

Engines: anthropic (ANTHROPIC_API_KEY, the web_search tool), openai (OPENAI_API_KEY, Responses API web search), perplexity (PERPLEXITY_API_KEY, sonar) and claude-code (the claude CLI on your machine, no key). Every engine whose key is present runs; --engines= picks a subset. Add --issue --repo=you/repo (or run it from the Action with a prompts: input) and it keeps a "citable track: example.com" issue up to date and comments when a citation is lost, which is the weekly email the paid tools charge $29 to $39 a month for. Bring your own keys; a 10-prompt run on three engines costs a few cents.

Hosted ($12/month, about £9)

No repo, no keys, no cron: sponsor genzagents at $12 a month, open a Hosted watch issue with your sites (up to 5), the prompts that matter (up to 10) and your brand, and the first report is posted on the issue within the hour. After that you get a comment the moment something regresses and a digest once a week with the prompt tracking (GitHub emails you each one). Cancel from your GitHub sponsorships page.

citable hosted run --source=github matches active sponsors to the open hosted issues they authored and comments the reports there, so it needs only a GitHub token. The Polar + Resend mode below is for private email delivery.

The runner is in this repo (citable hosted), so you can also run the same thing yourself for your own customers: it polls Polar for active subscriptions, keeps one small state file per subscriber, and sends through Resend. Zero dependencies, one hourly cron. See docs/HOSTED.md.

citable hosted run --dry-run                  # against Polar, prints the emails instead of sendingcitable hosted run --subscribers=subs.json    # against a local list (no Polar), e.g. for your own clientscitable hosted launchd                        # a launchd plist that runs it hourly on a Mac

Notes

• MCP registry name: mcp-name: io.github.genzagents/citable (PyPI package citable-cli; the import and the command stay citable).

• Bot user agents and roles follow the vendors' published strings (OpenAI, Anthropic, Perplexity). Role "answer" = fetches to answer or cite in a live conversation; "train" = builds training corpora.

• The edge check compares HTTP status only. A site that returns 200 with a challenge page to bots will pass; file an issue with the domain and it gets a heuristic.

• --no-live skips the bot fetches (faster, robots.txt only).

Development

python3 -m unittest discover -s tests -v

MIT. Built by genzagents.