Profound AI Citation Tracker
Monitor brand citation rates and trends across ChatGPT, Perplexity, and other LLM surfaces.
The skill explicitly requires PROFOUND_API_KEY and a local settings check, while repository security material describes user-level credential isolation and permissions; however, it does not disclose request scope, retention, user confirmation, revocation, or rollback, so points are deducted.
Routing, prerequisites, and platform delegation are internally coherent and the happy path is understandable; however, the skill implementation, error handling, API availability checks, and abnormal-input feedback are absent, so the static score remains below the 10-point ceiling.
The audience and four use cases are clear: citation rates, prompts, competitors, and alerts, with explicit delegation for other platforms; however, core reliance on Profound and overseas LLM services leaves Chinese support, mainland-China reachability, non-fit boundaries, and trigger precision underdocumented.
The file provides a name, version 2.2.0, compatibility requirement, installation prerequisite, command table, output attribution convention, and cross-skill delegation; it lacks skill-specific examples, troubleshooting, changelog, maintenance ownership, and update path, so it is not full marks.
The four commands align with the stated LLM citation-tracking goal and expose directly useful trend and alert outputs; however, no real output, execution evidence, or comparative marginal-value evidence is supplied, so the static score is capped below 7.
The skill requires each metric to cite Profound and include a confidence value, and repository CI and tests provide limited supporting signals; however, there are no Profound response fixtures, skill-specific tests, or independent corroboration, so evidence remains thin.
- Before use, confirm that PROFOUND_API_KEY is sent only to Profound endpoints and verify Profound reachability from mainland-China networks.
- The skill does not define handling for API failures, quota exhaustion, stale data, or low-confidence results; treat outputs as research signals requiring review.
- The “live, confidence 0.90” convention does not replace independent validation of Profound data sources, sampling methods, or time windows.
What does this skill do, and when should you use it?
seo-profound is the Profound extension skill inside the claude-seo repository. It focuses on tracking how often a brand is cited or mentioned by large language models over time. Its commands expose current citation rates, 30-day trends, surfacing prompts, co-cited competitors, and alerts against a 7-day baseline. It requires a Profound API key and follows the repository’s Claude Code extension workflow.
It queries Profound for a brand’s citation data across ChatGPT, Perplexity, and other supported LLM surfaces. It reports per-LLM current citation rates and 30-day trends, identifies prompts that do or do not surface the brand, lists brands cited alongside it for the same prompts, and returns spike or drop alerts against a 7-day baseline. Metrics should be attributed as “Profound (live, confidence 0.90)” or with the applicable confidence value.
- An SEO team wants ongoing visibility into brand citations on ChatGPT and Perplexity instead of one-off prompt sampling.
- A brand manager needs week-over-week or month-over-month movement in LLM citation rates.
- A content team wants to discover which user prompts surface the brand and which important prompts still miss it.
- A competitive-intelligence team wants to see which brands appear alongside the target brand for the same prompts.
- An operator wants alerts when citation performance rises or falls materially versus the recent 7-day baseline.
What are this skill's strengths and limitations?
- Provides continuous time-series tracking for week-over-week and month-over-month analysis.
- Combines citation rates with prompts, co-cited competitors, and anomaly alerts.
- Works as a focused complement to seo-seranking for broader AI visibility coverage.
- Requires source and confidence attribution for reported metrics.
- Requires a Profound API key and extension setup.
- Its native coverage emphasis is ChatGPT and Perplexity, not primary analysis of Gemini, Google AI Overviews, or AI Mode.
- It relies on Claude Code slash commands, settings, and extension conventions, so other clients require adaptation.
- The source does not specify Profound pricing, quotas, latency, or detailed failure handling.
How do you install this skill?
Install Claude SEO using the repository’s normal installation process, then run extensions/profound/install.sh or install.ps1. Obtain a Profound API key and configure PROFOUND_API_KEY in Claude Code’s ~/.claude/settings.json as required by the skill. The source does not document a separate standalone installation path or additional folder placement instructions.
How do you use this skill?
In Claude Code, run /seo profound citations <brand> for current citation rates and the 30-day trend; /seo profound prompts <brand> for surfacing and non-surfacing prompts; /seo profound competitors <brand> for co-cited brands; and /seo profound alerts <brand> for changes against the 7-day baseline. Before any tool call, verify that env.PROFOUND_API_KEY exists in ~/.claude/settings.json. Defer Gemini, Google AI Overviews, and AI Mode coverage to seo-seranking, with seo-dataforseo as an additional cross-reference for Google AI Overviews when available.
How does this skill compare with similar options?
Compared with seo-seranking’s on-demand prompt sampling, Profound emphasizes continuous polling and time-series trends. Compared with seo-geo’s end-to-end AI search audit, it focuses on LLM brand citation tracking rather than passage citability and platform-specific optimization.