Track how AI assistants describe your brand over time and catch wrong, outdated, or damaging claims. Claude builds your monitoring prompt set, compares runs week over week, and drafts the correction plan when answers drift. Platform: AI visibility.
npx skills add https://github.com/irinabuht12-oss/marketing-skills --skill brand-answer-monitoring
AI assistants sometimes describe your product wrong — old pricing, features you killed, a competitor's positioning attached to your name. Claude sets up a repeatable monitoring routine and diffs each run against the last, so you catch drift and misinformation before prospects do.
Claude generates a fixed panel of brand prompts (what is X, X pricing, X vs competitor, is X good for Y, X alternatives). You run it on a schedule and paste results back. Claude diffs against previous runs, flags factual errors and sentiment shifts, and traces each wrong claim to its likely source — a stale docs page, an old review, an outdated third-party article.
Week 12: two assistants start claiming the product "has no API." Claude traces it to a 2024 comparison post that just got updated and re-crawled. It drafts the correction request to the publisher, an FAQ entry for your own docs stating the API capability explicitly, and a changelog-style page AI crawlers can pick up.
This skill works best with live account data. Connect the free Ryze MCP once and Claude reads your Google Ads, Meta Ads, GA4 and Search Console directly:
https://connector.get-ryze.ai/mcpclaude mcp add ryze --transport http https://connector.get-ryze.ai/mcpSetup guide: https://www.get-ryze.ai/how-to-connect-claude-to-google-meta-ads-mcp
Take irinabuht12-oss/brand-answer-monitoring from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.