Integrate Conductor's MCP Server with Your AI Tools

Now in a limited-access Alpha program, Conductor's MCP server lets you integrate your Conductor account with ChatGPT using an out-of-the-box connector right in the ChatGPT interface. From there, you can query your Conductor data using OpenAI's robust AI model. 

Ask ChatGPT questions like:

What are the topics in AI search in which my website has the most success being cited? What pages are being cited the most?

How am I performing for my tracked prompts compared my competitors? What topics should I focus my content optimization on?

What are some topics that I don't already track that I might consider tracking with Conductor?

You'll be able to get creative with the questions you ask. ChatGPT's conversational interface can help you ask the right questions—and surface hidden insights in your data.

What's next?

We plan on extending MCP sever support to other LLM platforms like Claude and Copilot. Stay tuned!

 

Use Cases

These are just some ways you might start to use Conductor's MCP server.

Getting Started

These probing prompts can help users get familiar with the insights available to them in Conductor for ChatGPT.

Probing prompt

  • Show me the tools and data that I have available via Conductor
  • What are the timeframe in which you have data for via Conductor?
  • For which queries do I have the most brand mentions across all topics?

Brand Mention Analysis

These prompts are meant to analyze brand mention performance in AISP data. When you ask questions, always use the word “brand mention” to instruct it to understand what you mean.

Remember right now a prompt or tracked prompt in the dataset is called “a query”.

Topic- and prompt-centric

  • for what topics do I have the most number of brand mentions?
  • what about topics that have the most unbranded queries that have brand mentions for me
  • for which queries do I have the most brand mentions across all topics?

Competition-centric

  • who are my biggest competitors by brand mention market share?
  • what are some of the topics and queries that [competitor brand] performs well on in terms of brand mentions vs me
  • list of queries where I beat [competitor brand]
  • please list Queries where [competitor brand] beats me
  • can you show me a pie chart of share of voice for brand mentions between me and my top competitors

Historical or trended over time

  • can you analyze how has my brand mention share of voice changed over time with the data you have?

Persona or intent analysis

  • can you analyze where I have strongest and weakest brand mentions by persona?
  • can you show me where my best and worst performing topics and queries are by persona in terms of brand mentions?
  • can you analyze where I have strongest and weakest brand mentions by search intent?

Location and Search Engine

  • can you analyze my brand mention performance by search engine and locations?

Recommendations

  • based on all of these analyses for my brand mentions across my top competitors and by persona as well as by search intent, can you come up with top 5 things you would recommend if my goal is to improve my brand mention performance overall? Be concise.

AI Response Snippet (Coming Soon!)

  • can you show me actual AI response snippets of where I have brand mention? I am not sure if this is available in the tools

Citation Analysis

These prompts focus on understanding brand’s citations in LLMs. Note: We are currently working to refine this use case as we QA the dataset. Please view the responses as directional to what the capability can do and less about the specific data in the outputs. 

Probing

  • can you tell me what kind of analysis I can do with the ai_citations_marketshare tool?

Topics and Prompts

  • what about topics that have the most unbranded queries that have citations for me
  • for which queries do I have the most citations across all topics?
  • show me topics (or queries) where I am mentioned but not cited
  • show me my citation performance over time

Competition

  • can you show me share of voice for citation mentions comparing me vs my top competitor domains
  • i want to understand citation domain analysis of me against all other domains that were cited in ai_citations_marketshare
  • who are my biggest competitors by citation market share?
  • what are some of the topics and queries that [competitor domain] performs well on in terms of citations vs me
  • list of queries where I beat [competitor domain] for citations

Persona or intent analysis

  • can you analyze where I have strongest and weakest citations by persona?
  • can you show me where my best and worst performing topics and queries are by persona in terms of citations?
  • can you analyze where I have strongest and weakest citations by search intent?

Recommendations

  • based on all of these analyses for my citations across my top competitors and by persona as well as by search intent, can you come up with top 5 things you would recommend if my goal is to improve my citation performance overall? Be concise.

Sentiment Analysis

These prompts are used to understand the actual sentiments of the AI responses in conjunction with tracked prompts. We only perform sentiment analysis for your own AI responses.

Probing

  • what kind of analysis you can perform with sentiments across both tools in Conductor?

General sentiments

  • analyze sentiment for me and my top competitors for brand mentions

Topics and Prompts

  • for which topics do I have the highest or best sentiments around?
  • for which topics do I have the lowest or worst sentiments around?
  • for which queries do I have the highest or best sentiments around?
  • for which queries do I have the lowest or worst sentiments around?

Trended over time

  • how have sentiment trends changed over time?

Persona and intent analysis

  • sentiment trend by persona and intent

Configuring Conductor's MCP Server

Have you been granted access to Conductor's MCP server Alpha testing program? refer to the instructions below for setting up the connector.

Configuring Conductor for ChatGPT

  1. Click here to go to Conductor's page in ChatGPT's App Directory.
  2. Click Connect.
  3. In the Use Conductor in ChatGPT window that appears, click Continue.
  4. Enter your Conductor credentials in the authentication window that appears and click Sign in.
  5. Once authenticated, click Start chat.

Now, you can access Conductor for ChatGPT in the More menu in ChatGPT:

Note

If your user and organization have not been granted access to the Conductor MCP Alpha program, you may be able to set up this connector, but you won't be able to query data in Conductor.

 

FAQs

MCP server? Sounds technical… I'm not an engineer! 😬

Don't worry! While it's easy to get caught up in the terminology, this feature is super straightforward to set up and use. You'll just find the connector in your AI account, enter your Conductor credentials, and you're ready to go.

An MCP (model context protocol) server is just a technology that lets existing AI models (like ChatGPT) connect to data from a third-party. Conductor's MCP server connects AI models your Conductor data, so you can query the AI model about your data.

 
 

What data from Conductor is available through the MCP server?

To start, we're making our AI data set of brand mentions, page citations, market share, and Sentiment available through our MCP server. But stick around—we intend to include more data as we roll out this new technology.

Cool! But I don't have the AI credits to track prompts with Conductor Intelligence's AI Search Performance…

Now is a great time to start so that you have data to query once this feature is in a wider release! You can reach out to your Conductor representative to learn how.

If adding AI credits isn't in the cards right now, hang tight: we anticipate adding more data sets from Conductor's Data Platform to this MCP server.

 
 

What AI tools can I connect Conductor's MCP server to?

To start, we allow connections to OpenAI's ChatGPT Pro, Business, or Enterprise plans, using App available in their App marketplace.

 
 

Does using Conductor’s connector for ChatGPT train OpenAI's public models?

No. The Conductor connector is not used to train their models. You can query your enterprise data with confidence, knowing it remains secure and private to your organization.

 
 

Why should I use Conductor’s connector instead of asking ChatGPT directly?

Standard ChatGPT generates answers based on training data, which is often outdated or prone to "hallucinations" (guessing). Conductor’s connector uses a Split Reasoning architecture: ChatGPT understands the user’s intent and handles the conversation, but Conductor’s API provides the data and facts. This ensures you get verified, accurate intelligence rather than a best guess.

 
 

Will the connector support broader Conductor data beyond AI visibility?

Yes. While this initial release prioritizes AI Search Intelligence (Market Share, Mentions, Sentiment) to help you navigate the new landscape, we are actively building upcoming enhancements that will expand access to our other datasets—including technical website health, website analytics, and content recommendations—directly into your ChatGPT workflow.

 
 

How is this different from MCP servers being offered by other vendors in the space?

Most MCP servers from other SEO vendors only expose static keyword and SEO datasets, giving you limited snapshots that can’t power deeper workflows. Conductor goes far beyond keyword data. Our connector delivers true AI search performance intelligence today—mentions, citations, sentiment—and will soon unify all Conductor datasets, including keywords, pages, content analytics, and technical insights.

Because our intelligence layer works across multiple LLMs, including ChatGPT, Claude, Copilot, and more coming soon, agents can access richer, cross-dimensional data that supports workflows across marketing, product, support, and the broader enterprise.

 
 

Who can get access to the Conductor connector for ChatGPT?

The connector is available to Conductor customers who have access to Conductor’s MCP server in addition to a paid ChatGPT plan. You will need an active Conductor login to authenticate the connection.

 
 

Is there an additional cost to use the Conductor connector for ChatGPT?

Currently, the Conductor connector is available as a Free Early Access Preview for select customers. An active Conductor subscription with configured prompts in the AI Search Performance feature is required to be eligible for the Alpha. In the future, customers will need to add the connector to their Conductor subscription plan. 

 
 

What’s the difference between a local MCP server (e.g., Claude) versus a remote MCP server (e.g., ChatGPT)?

"Local MCP" means the connection runs directly on your personal computer, whereas "remote MCP" runs in the cloud as a direct server-to-server connection. Conductor has architected our platform to support both. While we are launching our Remote MCP first to power this integration with ChatGPT, this infrastructure is universal—allowing us to easily expand our verified connector to other LLMs and interfaces (e.g., Copilot, Gemini, etc.) in the future.

 
 

What is the difference between Conductor’s Data API and MCP Server? 

Conductor's Data Platform API is the core infrastructure that allows you to request data programmatically for any use case—including BI dashboards, custom applications, and automated reporting. The MCP Server is a specialized connector built on top of the API that formats this data specifically for AI agents like ChatGPT and Claude. You get access to the power of both.