claude

limelit

Connect Limelit Cloud: sign in from Claude Code with no API key, then see how ChatGPT, Claude, Perplexity, Gemini and Google AI answers rank and cite your brand, the prompts you lose, the sources to earn, and what to write next. Asks before anything that spends credits.

443 on GitHubby Limelitv0.1.0MITupdated todaymarketing
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Plugin limelit from marketplace limelit in limelit-co/open. Commands read from the repo's manifest — today.

This plugin runs code on your machine — its hooks fire automatically on events like tool use. The exact commands are listed below; read them before installing.

What it installs

Skills (8)

  • checking-ai-visibility

    Report how visible a brand is in AI answers (ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews, Google AI Mode) using Limelit: visibility, share of voice, citation share, average position, who is ahead, and how it moved over time. Use when the user asks "how are we doing in AI search?", "who

  • drafting-and-publishing

    Write, score, revise and publish a Limelit blog post or landing page draft built to be cited by AI answers. Use when the user asks to "write a post about X", "draft a counter-post", "improve this draft", "score this article", or "publish the draft".

  • finding-lost-prompts

    Find the prompts where AI answers leave the brand out, and read the actual answers to see why. Use when the user asks "which prompts are we losing?", "why doesn't ChatGPT mention us for X?", "why does Perplexity show us but Gemini not?", or wants the evidence behind a visibility number.

  • finding-sources-to-earn

    Find the sites and pages AI answers cite instead of the brand, and rank them by how much a mention there would help. Use when the user asks "what gets cited instead of us?", "which sources should we get on?", "which page of a competitor is winning?", or "where should we do outreach?".

  • planning-what-to-write

    Decide the next page or post to publish so AI answers cite the brand: pick the highest-leverage topic, the buyer query it must capture, and a brief. Use when the user asks "what should we write next?", "what should we work on?", "give me a content plan for AI search", or "which post should we refres

  • pushing-to-indexers

    Get published pages into the search indexes AI engines read: check indexing status, then push pages to IndexNow (Bing, Yandex and others) and resubmit the sitemap to Google. Use when the user asks "is my post indexed?", "push this page to Bing", "why isn't ChatGPT search finding my page?", or "submi

  • reading-search-console

    Read Google Search Console data through Limelit: clicks, impressions, position and CTR, the SEO findings worth acting on, and whether a URL is indexed. Use when the user asks "which posts are getting traffic?", "what's our CTR?", "is this page indexed on Google?", or "where is the easy SEO win?".

  • running-prompts

    Run tracked prompts again to get fresh AI answers, safely: preview first, confirm the credit cost, then run and watch it finish. Also covers spend and spending caps. Use when the user asks to "re-run the prompts", "refresh the numbers", "check this prompt again", "how much have we spent?", or "why d

Slash commands (4)

  • /limelit:easy-wins

    Sources AI answers cite for competitors but not for you, ranked

  • /limelit:lost-prompts

    The prompts where AI answers leave your brand out, and why

  • /limelit:next-post

    The next post to write so AI answers cite you, with a brief

  • /limelit:visibility

    How visible your brand is in AI answers, who is ahead, and what changed

Subagents (1)

  • visibility-analyst

    Run a full Limelit AI visibility review (headline numbers, weak engines, lost prompts, sources to earn, next actions) across many tool calls and return one short, evidence-backed summary. Use when the user wants an audit, a weekly review, or "the full picture" rather than one number.

MCP servers (1)

  • limelit

    connects to: https://api.limelit.co/mcp

Hooks (1)

  • PreToolUse

    python3 "${CLAUDE_PLUGIN_ROOT}/hooks/gate-spend.py"

View source on GitHub limelit.co

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