brand-answer-monitoring

--- name: brand-answer-monitoring description: Track how AI assistants describe your brand over time and catch wrong, outdated, or damaging claims.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errors and sentiment shifts, and traces each wrong claim to its likely source — a stale docs page, an old review, an outdated third-party article.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

1. **Set Up Monitoring Scope:** Identify 10-20 high-impact queries that frequently surface your brand (e.g., "What does [BRAND_NAME] do?", "How does [BRAND_NAME] compare to competitors?"). Use these as your core prompt set in tools like Claude, ChatGPT, or custom AI visibility platforms. 2. **Run Baseline Audits:** Generate responses for your prompt set and run the brand-answer-monitoring skill to create a baseline report. Save this as your 'gold standard' for future comparisons. 3. **Schedule Weekly Checks:** Automate weekly runs of your prompt set using the skill. Compare new outputs against the baseline to detect drift (e.g., outdated claims, new inaccuracies). Use version control to track changes over time. 4. **Draft Corrections:** For each flagged issue, use the skill to generate a corrected response draft. Collaborate with your brand/compliance team to refine language and ensure alignment with brand voice and legal requirements. 5. **Implement Fixes:** Update your brand guidelines, AI training data, or prompt libraries with the corrected language. Share the correction plan with stakeholders (e.g., PR, legal, AI engineers) and schedule follow-ups to verify fixes are live.