Most of the work you do with AI visibility starts with a question.
How visible are we performing this week? Which competitor is gaining ground? What sources keep appearing around this topic? Has anything changed since last month?
Until now, answering those questions meant opening Surfacd, finding the relevant project, and working through the data.
Now, you can just ask your AI assistant of choice.
Today we’re launching the Surfacd Model Context Protocol (MCP) server, allowing you to connect your live Surfacd data directly to MCP-enabled AI assistants including Claude, ChatGPT, Codex and Cursor.
Your AI visibility data, inside the tools you already use
MCP is an open protocol designed to let AI applications connect securely to external tools and data sources. In practical terms, it means your AI assistant can now reach into Surfacd when you ask it a question.
You could be preparing a report or update and ask:
How has our share of voice changed this month?
Which competitors are gaining visibility across our priority prompts?
What sources are influencing answers around a particular topic?
Compare our visibility across ChatGPT, Gemini and Perplexity.
Draft a short summary of this week’s movement for the leadership team.
Surfacd supplies the live data, then your assistant helps you interrogate and work with it.
The connection uses the same access permissions you already have in Surfacd, so people only see the projects and data they are authorised to access.
Less dashboard hopping = Faster answers
Dashboards are useful for exploring data, but can be less useful when you already know exactly what you want to ask, and you don’t have the time to delve deep into the data.
That distinction becomes increasingly important as AI assistants become part of everyday marketing, search, communications and reporting workflows.
Instead of stopping what you are doing, opening another platform, finding a report, exporting numbers and bringing them back into the document or conversation you were working in, you can keep the analysis in one place.
For an agency team, that might mean asking Claude to summarise movement across a client account while writing the monthly report.
An SEO team would probably ask which domains have become more influential for a particular set of prompts.
For an in-house marketing lead, it might simply be asking ChatGPT, five minutes before a leadership meeting (we all do it, let’s be real), whether visibility has improved since the previous month.
The data is the same, but the route to the answer is much more efficient.
AI visibility becomes something you can work with
There is a broader shift here that we believe is important because AI visibility data should not live in a silo.
It informs content strategy, PR, SEO, reputation, competitor intelligence, reporting and commercial decision-making. Connecting Surfacd through MCP makes it easier to bring that intelligence into the work those teams are already doing.
It also opens up much more flexible analysis.
Ask follow-up questions. Change the comparison period. Look only at one topic. Turn the findings into a client email. Ask for the ten prompts where a competitor has moved furthest ahead.
You are no longer limited to consuming a predefined report. Instead, you can have a conversation with the data.
Getting started
The Surfacd MCP server is available now to Surfacd customers, see our documentation for setup details.
Connect your preferred MCP-enabled assistant, give it access to Surfacd via your subscription details, and start asking questions about your projects, prompts, competitors, rankings, and sources.
Get Surfacd
Not using Surfacd yet? It’s time to explore.
Get a demo to see how your brand is being found, described and recommended across AI search, then bring that intelligence directly into the tools your team already uses. We also offer a 7-day free trial to all new users.
