How to Query Your Data (Platform: Power Your AI Tools with Conductor Data (MCP))

You're connected. Now comes the part that actually matters: learning to have a productive conversation with the MCP. 

Before you ask about data, ask about yourself. 

Step one: tell the MCP who you are

Whatever your role, your Conductor experience, or your history with AI tools, the single best first move is this: 

I'm a [your role] at [your company]. We use Conductor for our search and AI search performance data. How can the Conductor MCP help me? What kinds of questions should I be asking? 

Let the AI answer that before you do anything else. 

This works because the MCP knows what data it has access to, and when you tell it your role and goals, it maps those two things together and gives you a personalized starting point. A content strategist, a PR manager, and a VP will each get different answers to the same prompt — and all three will be genuinely useful. You don't need to already know what to ask. The MCP figures that out with you. 

Step two: orient yourself on your data

Once you have a sense of how the MCP can help you, take a moment to understand what Conductor data is available for your account. All of this surfaces through the MCP, no platform login needed: 

What topics are we currently tracking in Conductor? 

What competitors are we tracking? 

What time ranges does my data cover? 

I'm working on a project about [X] — are we tracking anything related to that? 

Show me the tools and data I have available via Conductor. 

This is especially useful if you're not a regular Conductor user and aren't sure what's been set up. 

The vocabulary that gets you better answers

Bookmark this. The AI routes questions to the right data based on the words you use. Conductor-specific language gets precise answers; vague language gets vague ones. 

Always name competitors specifically. "How do I compare to my competitors?" is hard to act on. "How does my brand mention share of voice compare to [Competitor A] in the past 90 days?" gets you an answer. 

How to structure a good question

Good queries follow a simple pattern: what you want to know + the data dimension + any relevant filter. 

Iterate — it's a conversation, not a search

One of the biggest advantages of the MCP is that you can follow the data wherever it leads. Start broad, then go deep on whatever's interesting. 

1. What topics are driving the most brand mentions for my site?

2. For that top topic, how does my share of voice compare to [Competitor]?

3. Which specific queries within that topic am I losing ground on

4. What does my sentiment look like on those queries?

Each question builds on the last. 

Step three: turn your insights into something useful

Once you have findings worth acting on, don't stop at the data. Ask the AI to do something with it. 

You can ask for recommendations directly from your data: 

Based on my brand mention performance across competitors, personas, and intent, give me the top five things I should do to improve my visibility. 

Based on my citation analysis, give me five concise recommendations to strengthen my content authority. 

And you can ask the AI to format what you've found into a deliverable. The insight and the output live in the same conversation: 

Can you summarize this analysis as a one-page brief I can share with my team? 

Turn these findings into a set of talking points for an executive update. 

Draft a content recommendation based on this data. 

If you find yourself running that sequence regularly — orienting, querying, getting recommendations, formatting a deliverable — you're in good shape. The next section has a full prompt library organized by data type, and the Skills section after that packages the whole workflow so it runs in a single command. 

A few things to keep in mind

The MCP surfaces and explores your data, but it doesn't replace your judgment. Validate anything that drives an important decision. The AI only returns what your account has access to, following your organization's same access and privacy rules.