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Commands are analyses Oppin ships ready to run. Each one follows a fixed, tested sequence, so it is more reliable than the same request typed freehand. Apps list them differently: in Claude Code, type / and look for the Oppin ones (they show as /mcp__oppin__<name>). In other assistants, look for Oppin’s prompts in the menu where you add files or tools. Every analysis command takes an optional output: text (the default), page (one interactive page, an artifact in Claude), pdf, slides, csv or json. The csv and json fields stay the same every run, so rows can be appended to a sheet.

Ideas

oppin_ideas: Ideas for what to ask Oppin: ready-to-paste prompts, grouped by what you want to get done.

Weekly pulse

oppin_weekly_pulse: Week-over-week digest: what moved, who moved it, and what to do about it. Used in: Weekly pulse.

Engine scorecard

oppin_engine_scorecard: Per-engine breakdown: where the brand wins, where it loses, and why. Used in: Engine blind spot.

Competitor radar

oppin_competitor_radar: Scan every competitor for movements larger than a threshold, and explain them. Used in: Competitor radar.

Prompt audit

oppin_prompt_audit: Grade the tracked prompt set on coverage, balance and bias. Used in: Prompt set health check.

Source authority

oppin_source_authority: Audit how the brand’s own domain performs as a source, and which third-party pages carry it.

Opportunity briefing

oppin_opportunity_briefing: Turn Oppin’s generated recommendations into a prioritised plan with the evidence attached. Used in: Recommendation triage.

Campaign impact

oppin_campaign_impact: Before and after a campaign or launch: what moved in AI answers, where, and which sources carried it. Used in: Campaign or launch impact.

Topic heatmap

oppin_topic_heatmap: Topic by brand heatmap: which topics the brand owns, which it loses, and to whom. Used in: Topic heatmap.

Content brief

oppin_content_brief: A content brief for one question the brand is losing, built from the pages AI reads and its fan-out queries. Used in: Content brief from a gap.

Double down

oppin_double_down: Find what already drives the brand’s AI visibility, then suggest content that extends it into nearby weak spots. Used in: Double down on what works.

Brand audit

oppin_brand_audit: A complete AI brand audit: how AI discovers, describes and recommends the brand, and what it relies on. Used in: AI brand audit.

Investigate drop

oppin_investigate_drop: Incident-style investigation of a visibility drop: when, where, who gained, and what changed in the sources. Used in: Visibility drop investigation.

Client report

oppin_client_report: A plain-language report ready to send to a client or stakeholders, with the previous period alongside. Used in: Monthly or client report.