Track brand citation rates across LLM platforms with Profound time-series reporting.
npx skills add https://github.com/avalonreset/seo-dungeon --skill seo-profound
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
Seo-profound reduces blind spots in AI search by measuring how often and how reliably a brand is cited across different LLMs over time.
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.
High-intent search queries and answers about installing and using this skill.
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.
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.
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.
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.
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.
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.
smarmen86Track brand citation rates and prompt-based visibility across LLM platforms.
adelproTrack GitHub repository metrics as JSON time-series for trend analysis.
rjit1Track brand citation visibility across large language models with Profound API.
somarjunTrack brand citation rates across major LLMs over time.
