Sign in

/Catalogue/Prompt/irinabuht12-oss/irinabuht12-oss-marketing-skills-brand-answer-monitoring

Origin: github
Communityv0.1.0Prompt github.com/irinabuht12-oss/marketing-skills/tree/main/skills/brand-answer-monitoring

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Track how AI assistants describe your brand over time and catch wrong, outdated, or damaging claims.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.

by irinabuht12-oss · updated 1d ago · imported from GitHub

Watch · 0 Send for moderation
Installs0+0/7d
Security score98/100
Retention 14d0%
GitHub stars2K

Skill logic

Execution graph
User message
Prompt rewrites behaviour
Response

SKILL.md

View on GitHub ↗

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errors and sentiment shifts, and traces each wrong claim to its likely source — a stale docs page, an old review, an outdated third-party article.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

Discussion

No comments yet — start the thread.

Sign in to join the discussion.

/More from irinabuht12-oss/marketing-skills

irinabuht12-oss· 1d agoCommunity
ab-test-analyzer

Prompts · v0.1.0

Statistical significance calculator for A/B test results with sample size requirements, segment breakdowns, and hypothesis generation. Use when feeding test results, checking statistical significance, calculating sample sizes, analyzing experiment outcomes, or generating next test ideas based on results. Platform: Google and Meta.

#ai-visibility#claude-code#claude-desktop

0 2K
irinabuht12-oss· 1d agoCommunity
ab-test-setup-and-analysis

Prompts · v0.1.0

Designs statistically valid split tests for ads, audiences, landing pages, or bid strategies. Calculates required sample sizes before you start, monitors results during the test, and calls winners when statistical significance is actually reached — not when you feel like one is winning. Platform: Google and Meta.

#ai-visibility#claude-code#claude-desktop

0 2K
irinabuht12-oss· 1d agoCommunity
account-structure-review

Prompts · v0.1.0

Evaluates your campaign and ad set structure against your actual goals and budget. Flags over-segmentation that fragments your data, under-segmentation that hides performance differences, budget allocation issues, and consolidation opportunities that would improve algorithmic delivery and your ability to optimize. Platform: Google and Meta.

#ai-visibility#claude-code#claude-desktop

0 2K
irinabuht12-oss· 1d agoCommunity
ad-copy-variant-generator

Prompts · v0.1.0

Analyzes your top performing ads, identifies what's working in the hooks, CTAs, messaging angles, and formats, then generates new variants that follow the same winning patterns while introducing enough variation to test meaningfully. Platform: Google and Meta.

#ai-visibility#claude-code#claude-desktop

0 2K