MCP Prompt Library

Create a line graph for the visibility of tracked term [BRAND NAME] in project [PROJECT NAME] from [DATE] to [DATE]. Show this per LLM active during this period so we can easily compare performance per LLM.

For project [PROJECT NAME], render a heatmap where the X-axis shows LLMs and the Y-axis shows brand terms, sorted by overall visibility descending. Color cells on a single-ramp scale (light → dark = low → high visibility %), and show the percentage value inside each cell. Goal: instantly see which brand dominates which LLM.

For project [PROJECT NAME], render a heatmap where the X-axis shows LLMs and the Y-axis shows brand terms, sorted by overall visibility descending. Color cells on a single-ramp scale (light → dark = low → high visibility %), and show the percentage value inside each cell. Goal: instantly see which brand dominates which LLM. Do this for the tag ‘TAG NAME’.

Create a line graph for the citation rate of tracked term [BRAND NAME] in project [PROJECT NAME] from [DATE] to [DATE]. Show this per LLM active during this period so we can easily compare performance per LLM.

Create a line graph for the citation rate of tracked term [BRAND NAME] in project [PROJECT NAME]. Show results for ChatGPT and overlay a 30-day moving average to highlight trend momentum and reduce noise.

Create a line graph showing the difference between tracked term [BRAND NAME] and [BRAND NAME] citation rate for ChatGPT over time. Goal: measure distance to the leader. Do this for the tag ‘TAG NAME’.

Create separate mini line charts for each active LLM using the same Y-axis scale. Goal: make pattern comparison easier without overlapping lines. Do this for tracked terms [BRAND NAME] and [BRAND NAME].

Pull all prompts in the project [PROJECT NAME] with the tag [TAG NAME] where the tracked term [BRAND NAME] has a visibility score of 0% (meaning [BRAND NAME] was not mentioned in the response).

For each of these prompts, return:

- The prompt text
- [BRAND NAME] visibility %
- Visibility % for [COMPETITOR 1]
- Visibility % for [COMPETITOR 2]

Sort the results by the highest competitor visibility score, so I can quickly identify prompts where competitors are performing well while [BRAND NAME] is absent.

Identify all prompts in project [PROJECT NAME] where my average visibility score was below 10% over the last 14 days.

For each identified prompt:

- Retrieve the top 5 most frequently cited URLs associated with that prompt during the same period.
- Analyze these URLs and identify the content type (blog article, comparison page, product page, guide, FAQ, landing page, directory, research page, etc.)
- Based on this analysis, recommend the single best content asset I should create to increase my chances of being cited in AI responses.

For each prompt, provide:

- Prompt text
- Current average visibility %
- Top 5 cited URLs
- Page title per URL