skills.rest
avalonreset
avalonresetCOMMUNITY
Explore all skills by this author →
WebsiteGitHub

seo-profound

Track brand citation rates across LLM platforms with Profound time-series reporting.

Updated Aug 23, 2026
Search Tags:#seo#prompt analysis#ai visibility#llm brand tracking#citation rates#time-series monitoring#competitor mentions
One-click install
npx skills add https://github.com/avalonreset/seo-dungeon --skill seo-profound
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: seo-profound
Source: https://github.com/avalonreset/seo-dungeon/tree/main/extensions/profound/skills/seo-profound
Command: npx skills add https://github.com/avalonreset/seo-dungeon --skill seo-profound

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Seo-profound reduces blind spots in AI search by measuring how often and how reliably a brand is cited across different LLMs over time.

Core Features & Use Cases

  • Time-series citation tracking: Monitor brand citation rates with trend deltas such as week-over-week and month-over-month.
  • LLM coverage triangulation: Use Profound for continuous sampling, while delegating complementary coverage to seo-seranking (Gemini/AI Overviews/AI Mode) and seo-dataforseo for additional cross-references when available.
  • Prompt-level diagnosis: Identify which prompts surface (or fail to surface) the brand and which competitors appear alongside it.

Quick Start

Run the Profound citation workflow by asking: /seo profound citations <brand> using your configured Profound API key exposed as PROFOUND_API_KEY in the Codex runtime.

Frequently Asked Questions about seo-profound

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I track brand citations across LLMs over time?▼

Brand citation tracking across LLMs uses Profound's continuous polling to generate time-series metrics with trend deltas. It monitors prompt-level attribution and surfaces competitor co-citation context for AI search visibility monitoring.

Can I see which prompts trigger my brand in AI search results?▼

Prompt-level diagnosis identifies which specific prompts surface or fail to surface your brand. It also reveals which competitors appear alongside your brand within those AI-generated responses.

What's the best way to monitor competitor mentions in AI search?▼

Competitor mention monitoring leverages Profound's continuous sampling to track competitor co-citation context. It applies time-series reporting to measure how often competitors appear alongside your brand across various LLM platforms.

Do I need a specific API key to measure AI visibility and citation rates?▼

AI visibility measurement requires a valid Profound API key configured as PROFOUND_API_KEY in the Codex runtime. This key enables continuous polling and returns metrics labeled with Profound citation provenance for confidence-aware interpretation.

How do I get alerts for sudden drops in LLM brand tracking metrics?▼

LLM brand tracking applies trend-based spike and drop alerts to continuous polling data. By monitoring week-over-week and month-over-month trend deltas, it identifies sudden fluctuations in citation rates.

Can I cross-reference citation rates with other AI search visibility tools?▼

LLM coverage triangulation uses Profound for continuous sampling while delegating complementary coverage to other SEO tools. This cross-referencing approach provides additional context for AI search visibility metrics.

Related Skills

Explore More Marketing & Sales Skills→
smarmen86smarmen86

seo-profound

Track brand citation rates and prompt-based visibility across LLM platforms.

Community
Intermediate
adelproadelpro
2

repo-metrics

Track GitHub repository metrics as JSON time-series for trend analysis.

Community
Intermediate
rjit1rjit1
1

seo-profound

Track brand citation visibility across large language models with Profound API.

Community
Intermediate
somarjunsomarjun

seo-profound

Track brand citation rates across major LLMs over time.

Community
Intermediate