brand-answer-monitoring
Track how AI assistants describe your brand over time and catch wrong, outdated, or damaging claims.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.
Install
npx skills add https://github.com/irinabuht12-oss/marketing-skills/tree/main/skills/brand-answer-monitoring
claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install irinabuht12-oss-marketing-skills@llmmart
git clone https://github.com/irinabuht12-oss/marketing-skills.git
The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole irinabuht12-oss/marketing-skills collection as a plugin from our marketplace. Git is the plain clone.
Skill manifest
4/ Brand Answer Monitoring
What it does
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.
How it works
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errors and sentiment shifts, and traces each wrong claim to its likely source — a stale docs page, an old review, an outdated third-party article.
Practical example
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.
What you get back
- Fixed monitoring prompt panel + run schedule
- Week-over-week diff: new claims, dropped mentions, sentiment shifts
- Error log with likely source per wrong claim
- Correction plan: publisher outreach drafts + owned-content fixes
When to use it
- Ongoing, after your initial AI visibility audit
- Right after pricing, packaging, or feature changes
- During a rebrand or after negative press
Data access (Ryze MCP)
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:
- claude.ai / Claude Desktop: Settings → Connectors → Add custom connector →
https://connector.get-ryze.ai/mcp - Claude Code:
claude mcp add ryze --transport http https://connector.get-ryze.ai/mcp - Cursor: Settings → MCP → add the same URL
Setup guide: https://www.get-ryze.ai/how-to-connect-claude-to-google-meta-ads-mcp
Files (marketing-skills)
-
SKILL.md 2.3 KB
--- name: brand-answer-monitoring description: 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. metadata: platform: AI visibility --- # 4/ Brand Answer Monitoring ## What it does 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. ## How it works 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. ## Practical example 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. ## What you get back - Fixed monitoring prompt panel + run schedule - Week-over-week diff: new claims, dropped mentions, sentiment shifts - Error log with likely source per wrong claim - Correction plan: publisher outreach drafts + owned-content fixes ## When to use it - Ongoing, after your initial AI visibility audit - Right after pricing, packaging, or feature changes - During a rebrand or after negative press ## Data access (Ryze MCP) 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: - claude.ai / Claude Desktop: Settings → Connectors → Add custom connector → `https://connector.get-ryze.ai/mcp` - Claude Code: `claude mcp add ryze --transport http https://connector.get-ryze.ai/mcp` - Cursor: Settings → MCP → add the same URL Setup guide: https://www.get-ryze.ai/how-to-connect-claude-to-google-meta-ads-mcp
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