What kinds of questions can you ask?
The conversational interface is meant to help you probe your data and surface insights you might not have clicked to in the product. For example:What are the topics in AI search where my site is cited most? Which pages are cited the most? How am I performing on my tracked prompts compared to competitors? What topics should I prioritize for content optimization? What topics might I consider tracking in Conductor that I do not track yet?You can iterate from there—the assistant can help you refine questions as you learn what the tools return.
Tools and analysis areas
The MCP exposes focused tools (named capabilities the model can call) that align with datasets in Conductor Intelligence:Brand mention analysis
Tools and prompts here focus on how your brand (and competitors) show up in AI search performance data—often discussed as brand mentions. Useful angles include:- Topics and prompts: Which topics or queries (in the data, a tracked prompt is treated as a query) drive the most brand mentions for you, including unbranded queries where you still appear.
- Competition: Share of voice vs competitors, queries where you lead or trail, simple charts (for example pie charts) when the assistant can build them from tool output.
- Over time: How brand-mention share of voice has trended.
- Persona and intent: Strongest and weakest areas by persona or search intent (as modeled in Conductor).
Citation analysis
A separate set of capabilities focuses on citations: which URLs and domains AI engines cite as sources. You may see tool names such asai_citations_marketshare in explanations or logs.
Typical questions include citation share vs competitors, topics or queries where you are mentioned but not cited, performance over time, and breakdowns by persona or intent. Citation use cases are still being refined—treat early outputs as directional while Conductor continues QA on the dataset and tooling.
Sentiment analysis
Sentiment tooling helps you understand how AI responses talk about your brand in connection with tracked prompts. Sentiment analysis applies to your own AI responses within the supported scope; you can still ask the assistant to compare or contextualize you vs competitors for brand mentions in other flows. Prompts often combine topics, queries, time trends, persona, and intent.Account AI Configuration
You can let the LLM review your current configuration of topics and prompts to discover gaps or review your tracking strategy.Discovery prompts (learn what you have access to)
Before deep analysis, you can inventory what the connection can see—still in plain language:- Show me which Conductor accounts I have access to.
- Use [account name and ID] for further analysis.
- Show me the tools and data I have available via Conductor.
- What time ranges does Conductor data cover for me?
Use vocabulary Conductor already uses
Vague words like “visibility” are easy for humans but ambiguous for tools. Prefer product language: brand mentions, citations, topics, queries (for tracked prompts), personas, intents, and competitors by name when comparing. You will get clearer tool use and answers.Access and configuration
If your user and organization have not been granted MCP Early Access, you may still be able to add a connector, but you will not be able to query Conductor data through it. For ChatGPT- or Claude-specific configuration, contact your Conductor team for instructions that match your program.What to keep in mind
- Access and privacy follow your org’s rules; tools only return what your account is allowed to see.
- Validate important decisions; the assistant summarizes and explores—it does not replace your judgment or governance.
- Review our template gallery for ideas of how to apply the MCP with LLM skills to deepen the analysis and insights.
- Ask your Conductor team for updated prompt examples, recommendation-style wrap-ups, and citation-specific patterns.