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What is MCP

MCP
It is the wire that lets an AI reach your data.

You do not need to understand the spec. Just one thing: once the wire is connected, the AI you already use can answer questions by citing your own data. Citely is that wire — one end plugs into your AI, the other into your product information and market data.

one wire
paste it and you are connected
three minutes
pasted once in your connector settings
zero installs
no new interface, no new tab

The everyday version

MCP is a common way for an AI to reach outside data — like a charging port standard. The shape is agreed, so any cable fits. Any AI that supports it can connect to Citely, and you never have to give up the AI you already use.

Without the wireThe AI has only the general knowledge it was trained on. It does not know your specifications, your certifications or your cases, so of course it does not mention you.
With the wire connectedThe AI can reach your data and your market data whenever it needs to. Topic selection, writing and measurement all run on your facts.
What you doPaste the link into your AI's connector settings — three minutes. After that it is just an ordinary conversation.

What is on the other end of the wire

Not the whole internet. Three things that bear directly on your business.

Your product factsSpecifications, certifications, lead times, cases, common questions. An AI needs evidence it can check before it will cite you.
What your market is askingWhat customers are asking right now, what worries them, and which topics are getting louder.
Visibility measurement resultsThe same set of questions asked once on each of five AI platforms, using GKM Research's proprietary method. Available from Lite up: Lite delivers the raw numbers; Standard and above add interpretation and a monthly performance report.
Paste one link and the AI you already use gains a consultant Three minutes to set up. After that you just talk.
Book an AI visibility check
In this release

It no longer just tells you the score — it tells you how to write

Most MCP connections answer one question: what does my content score. From this release Citely also answers "how should I write it" — and your own AI does the writing.

01

The writing craft goes straight into your AI

On every plan, once the link is in your Claude or ChatGPT, your AI loads GKM Research's writing craft: three guides and six reference tables. It puts an editor's judgement inside the tool you already use.

A typical GEO tool hands you a score and a report; revising it is still your problem.

02

The tiers divide the data, not the craft

Every tier gets the completecraft, plus the content check: paste an article in and it tells you, item by item, where it falls short. What you pay more for isdata: from Lite up, ten tracked keywords measured weekly with the numbers handed over as they are; from Standard up, interpretation and a monthly performance report on top.

Craft can be learned from us. Continuous measurement and interpretation cannot — which is why we do not hold the craft back as an upgrade lure.

03

We give you the craft, not the measurement method

How to write can be taught. How we measure and calibrate stays inside GKM Research's production line.

So what you receive is capability, not our method of measurement. For you that is honesty; for us it is what we stand on over the long run.

What your AI loads (on every plan)

Three guides

  • Writing from scratch: the full path from topic to finished draft
  • Rewriting what you have: taking an existing draft up to standard
  • Passage-by-passage self-check: going through your own draft after writing

Six reference tables

  • Self-check list: the checklist you tick off item by item
  • Opening-sentence rewrites: how to make a paragraph's first sentence the answer
  • Method phrasing library: set phrases for stating your basis clearly
  • Machine-voice word list: the wording that reads as AI-written on sight, and what to use instead
  • Engine preferences: how what each AI favours differs
  • Content-check fixes: which item lost points, and what to do about it

All of the above comes with every plan, without exception. The content check is the scored version of that same self-check list and is also on every plan — the only difference is ten times a month on Trial, unlimited from Lite up.

Three boundaries to know first

The content check score is a check on how it is written, not a forecast of results.It checks whether the piece follows the way of writing that gets cited. A high score does not mean traffic or rankings will rise. To know whether it worked after publishing, look at the word-by-word measurement of your tracked keywords: raw numbers from Lite up, interpretation from Standard up.

A draft written in conversation is not the same as an article delivered by GKM Research's production line.Delivered articles go through a separate compliance review; what you write yourself in the chat does not. Responsibility for quality sits differently in each case — please be clear on this line before you start.

Compliance is your responsibility.The guides flag common compliance risks, but they do not review your draft for you. In regulated fields such as healthcare and finance, please still run your own approval process before publishing.

The three things customers ask most about MCP

Do I need an engineer?

No. Setup is one step: paste the link into your AI's connector settings. Three minutes, zero installs. If you do get stuck, our specialist will walk you through it.

Do I have to switch away from the AI I use now?

No. You talk to your AI exactly as you always have. Any AI that supports MCP can connect — Claude, ChatGPT and others.

How will my data be used?

Only to answer your questions and produce your content. Detailed terms 〔TBC〕; the Terms of Service are the authoritative version.