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Prompts are a built-in MCP primitive. Instead of asking your AI assistant to combine tools step-by-step, you invoke a single slash command and get a fully formatted report back.
Prompts are versioned with the Peec AI MCP server. When we ship a new one, it appears in your client automatically. No install.

How to invoke a prompt

The command surface depends on your client.
ClientHow to invoke
Claude (Desktop, Web, Code)Type / in the message input and pick the prompt from the list
CursorType @ in the chat and pick the prompt
Other MCP clientsCheck your client’s documentation for prompt support
If prompts don’t show up after connecting, remove and re-add the Peec AI integration to refresh the tool and prompt list.

Available prompts

All prompts take a project argument (name or ID). Your AI assistant resolves the name for you, so "Acme Q2" works as well as a project ID.

peec_weekly_pulse

Weekly Visibility Pulse. Week-over-week digest covering brand metrics, competitor movers, source shifts, and sentiment flags. Formatted for sharing internally.
ArgumentRequiredDescription
projectYesProject name or ID
Use when: you want a quick Monday-morning snapshot of what changed last week.

peec_competitor_radar

Competitor Movement Radar. Scans every brand × topic × engine combination for significant shifts. Returns the biggest gainers and losers, hypothesized drivers, and the topics where your own brand is most exposed.
ArgumentRequiredDescription
projectYesProject name or ID
threshold_ppNoMinimum percentage-point change to flag (default: 10)
Use when: a competitor suddenly seems more visible and you want to know where and on which engines.

peec_engine_scorecard

AI Engine Scorecard. Per-engine breakdown of brand visibility, share of voice, sentiment, position, plus source retrieval and citation rate from your own domains. Highlights the engine with the most untapped potential.
ArgumentRequiredDescription
projectYesProject name or ID
Use when: you want to know which AI engine to focus on next.

peec_topic_heatmap

Topic × Model Heatmap. Visibility heatmap across all your topics and all tracked AI engines, calibrated to your own baseline so cells are labeled as blind spots, weak, moderate, strong, or dominant.
ArgumentRequiredDescription
projectYesProject name or ID
Use when: you want to find blind spots and strongholds across topics and engines at a glance.

peec_prompt_grader

Prompt Set Grader. Grades your tracked prompt set on topic balance, tag hygiene, funnel coverage, branded ratio, duplicate detection, and model data gaps. Returns an A-F report card with the top 3 fixes.
ArgumentRequiredDescription
projectYesProject name or ID
Use when: you suspect your prompt set is skewed, incomplete, or noisy.

peec_source_authority

Source Authority Audit. How your domains perform as sources across AI engines: retrieval rates, citation rates, top URLs, content type breakdown, and authority gaps where competitors are cited but you are not.
ArgumentRequiredDescription
projectYesProject name or ID
Use when: you’re optimizing content and want to know which URLs and formats get picked up by AI.

peec_campaign_tracker

PR / Campaign Impact Tracker. Before/after comparison around a launch date. Tracks brand metrics and source pickup, broken down by engine. Pass specific URLs to track a PR push, or omit them to analyze your whole domain.
ArgumentRequiredDescription
projectYesProject name or ID
campaign_dateYesLaunch date in YYYY-MM-DD format
urlsNoComma-separated URLs to track. If omitted, analyzes your own brand domains broadly.
Use when: you shipped a PR campaign, guest post, or content refresh and want to measure AI impact.

Combining prompts with free-form questions

Prompts are a starting point. After a prompt runs, follow up with questions in plain language. Your AI assistant still has access to every tool, so you can drill into any row, engine, or topic.
“Run the weekly pulse, then dig into why Perplexity visibility dropped” “After the competitor radar, show me the chats from last week that mentioned Acme”
Prompts are read-only. They only use the same Peec AI data you can already see in the dashboard.