Your AI Visibility Data.
Wherever You Already Work.
You already ask Claude or ChatGPT to help you think through strategy. Now you can ask it about your own brand’s AI visibility — your ModelScore™, your citation rate on each platform, how you stack up against competitors — and get a real answer, pulled live from your own CiteMetrix data.
The CiteMetrix MCP Server connects your account directly to any AI assistant that speaks the Model Context Protocol. No exporting a report, no copy-pasting numbers into a prompt — just ask.
The Gap Between Having Data and Using It
Your dashboard has the answer. Your workflow doesn’t have your dashboard.
You’re drafting a client update, prepping for a board meeting, or just trying to remember whether your citation rate moved this week — and the honest answer is almost always in CiteMetrix somewhere. But “somewhere” means logging in, finding the right report, and copying the number out before you can actually use it in whatever you’re writing.
AI assistants have become where a lot of that writing and thinking already happens. The CiteMetrix MCP Server closes the gap: it gives Claude, ChatGPT, or any MCP-compatible assistant a direct, read-only line into your own account data, scoped to exactly what you’re authorized to see. Ask a question, get a real number — not a guess, not stale data from a report you ran last month.
Getting an Answer: Before and After
Without the MCP Server
- ✗Stop what you’re writing to log into CiteMetrix
- ✗Find the right dashboard view for the number you need
- ✗Copy the number, hope you copied the right period
- ✗Paste it back into your draft, email, or chat with your AI assistant
- ✗Repeat for every follow-up question
- ✗Realize the number’s a week stale by the time you use it
With the MCP Server
- ✓Ask your AI assistant the question directly, mid-conversation
- ✓It queries your real CiteMetrix account, live
- ✓You get the current number, correctly scoped to the period you asked about
- ✓Ask a follow-up the same way you’d ask a colleague
- ✓Keep writing — the number just showed up where you needed it
What You Can Ask Today
ModelScore™ & Trend
“What’s our ModelScore this week, and is it up or down from last month?” Get the current score, all four component scores, the change versus the prior period, and the trend direction — or pull the full history over any window from 7 to 365 days.
Citation Rate
How often do AI platforms actually cite your brand when someone asks about your industry? Get the overall rate, raw counts, and a breakdown by platform — sentiment included.
Share of Voice
“How do we compare to the competitors we’re tracking?” Get your domain’s share of AI citations against every tracked competitor, not just a single number in isolation.
Platform Breakdown
A citation rate by platform across all nine AI platforms CiteMetrix monitors — ChatGPT, Claude, Perplexity, Gemini, Copilot, Grok, DeepSeek, Mistral, and Google AI Overview — with sentiment and last-scan date for each.
Accuracy Monitoring
“Is any AI platform saying something wrong about us?” Pull active accuracy alerts, verified brand facts, and hallucination history — the same data your Accuracy dashboard shows, asked in plain English.
Competitive Intelligence
“Where is a competitor getting cited that we’re not?” Compare your visibility head-to-head against any tracked competitor and surface the specific citation gaps worth closing.
22 tools are live today across core metrics, accuracy, competitive intelligence, query tracking, and content change detection — see the full list in the setup guide.
Built for How You Actually Work
Client Updates
Scenario: You’re drafting a monthly update for a client and need this month’s citation rate, last month’s for comparison, and a one-line read on the trend.
How the MCP Server helps: Ask your AI assistant for the numbers while you’re already drafting the email. No tab-switching, no re-checking the dashboard twice to make sure you copied it right.
Agency Reporting at Scale
Scenario: You manage AI visibility for a dozen client accounts and need a quick gut-check across several of them before a Monday call.
How the MCP Server helps: Ask about each domain in sequence, right inside the conversation you’re already having with your assistant — instead of opening a dozen dashboard tabs.
Strategy Sessions
Scenario: You’re working through positioning with an AI assistant and want to ground the conversation in your actual numbers, not assumptions.
How the MCP Server helps: Your assistant can pull your real ModelScore™, citation rate, and competitive share of voice mid-conversation, so the strategy you land on is built on your current data.
Quick Checks
Scenario: Someone asks “how are we doing with AI visibility?” in a hallway conversation or a Slack thread, and you want a real answer, fast.
How the MCP Server helps: Ask your assistant instead of opening CiteMetrix — get the current score and trend in the time it takes to type the question.
Common Questions
Stop Switching Tabs to Check Your Numbers.
Just Ask.
The CiteMetrix MCP Server is available now for Business Professional, Enterprise, and Agency plans — bringing your ModelScore™, citation rate, competitors, accuracy alerts, and more directly into the AI assistant you already use.