Use Cases & Prompts

Use these example prompts and workflows to explore your AI visibility data inside ChatGPT, Claude, Cursor, and other MCP-supported assistants connected to Cite AI.

A good place to start is by asking:
“List my Cite AI projects”

Once you select a project, you can begin exploring visibility trends, competitor comparisons, citations, prompts, and source influence using natural language.

For more accurate insights, include a timeframe in your questions such as:

  • “Last 30 days”
  • “This month”
  • “Past week”

You can also ask for breakdowns by:

  • AI model
  • Topic
  • Prompt category
  • Competitor
  • Country

Example Workflows

Brand Visibility Overview

“How visible is our brand across AI platforms this month?”

Returns visibility metrics, share of voice, citation trends, and positioning across tracked AI models.

Competitor Comparison

“Compare our AI visibility against competitors across ChatGPT and Gemini”

Shows competitor visibility comparisons across different AI platforms and identifies where competitors are outperforming you.

Citation & Source Analysis

“Which sources and pages influence our AI visibility the most?”

Displays top cited domains, URLs, and sources shaping AI-generated recommendations for your brand.

Prompt Performance Analysis

“What prompts are driving the highest visibility for our brand?”

Identifies which tracked prompts and user queries your brand appears in most frequently.

Visibility Trend Tracking

“Show our AI visibility trend over the last 30 days”

Displays visibility movement over time and highlights major shifts across AI platforms.

Content & Strategy Research

“Which topics are competitors dominating in AI search?”

Helps identify content gaps, visibility opportunities, and topic-level performance differences.

AI Search Reporting

“Summarize our AI visibility performance this week”

Generates a quick visibility summary using your live Cite AI data.

Tips

To get better results:

  • Include a timeframe in your prompts
  • Mention competitor names directly
  • Ask for model-specific breakdowns
  • Start broad, then drill into specific trends or topics
  • Use conversational follow-up questions to explore insights deeper

Because Cite AI MCP works with live visibility data, your AI assistant can analyze and interpret trends directly inside the conversation without requiring manual exports or separate reporting workflows.