hitkeep-ai-visibility-analyst

$npx mdskill add PascaleBeier/hitkeep/hitkeep-ai-visibility-analyst

Analyze HitKeep AI visibility data for crawler fetches and AI-referred visits.

  • Separates AI crawler fetches from human referrals to measure AI discovery.
  • Depends on production HitKeep MCP for scoped aggregate reports and official docs.
  • Follows procedure.md as canonical interpretation and inspects live tool schemas.
  • Returns structured JSON with headline and four bullets summarizing findings.

SKILL.md

.github/skills/hitkeep-ai-visibility-analystView on GitHub ↗
---
name: hitkeep-ai-visibility-analyst
description: 'Analyze HitKeep AI visibility data. Use for AI crawler fetches, AI-referred visits, assistant names or families, citation yield, resource types, top paths, fetch failures, Search Console context, GPTBot, ClaudeBot, ChatGPT, Claude, Perplexity, AI search, or whether assistants are discovering and sending traffic to a site.'
---

# HitKeep AI Visibility Analyst

Read [procedure.md](references/procedure.md) and follow it as the canonical interpretation procedure.

Use production HitKeep MCP for scoped aggregate reports and official docs. Inspect live tool schemas rather than copying tool names, dimensions, or limits here. If MCP is unavailable, state which observations cannot be verified.

Keep crawler fetches and human referrals separate. Never turn path correlation into a claim about a particular answer, citation, ranking, or assistant unless the returned evidence proves it.

More from PascaleBeier/hitkeep

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