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errors and sentiment shifts, and traces each wrong claim to its likely source — a stale docs page, an old review, an outdated third-party article.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