brand-memory-probe

Probe brand recall across Claude, ChatGPT, Gemini Pro, and Perplexity.

4|1|Updated Apr 11, 2026
One-click install
npx skills add https://github.com/m2ai-portfolio/m2ai-skills-pack --skill brand-memory-probe
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: brand-memory-probe
Source: https://github.com/m2ai-portfolio/m2ai-skills-pack/tree/main/skills/brand-memory-probe
Command: npx skills add https://github.com/m2ai-portfolio/m2ai-skills-pack --skill brand-memory-probe

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Brand Memory Probe simulates how a target brand appears when an AI agent answers a generic query, enabling teams to measure brand recall across multiple providers and understand potential memory share gaps.

Core Features & Use Cases

  • Phase-based probing workflow: construct intents, probe providers (Claude, ChatGPT, Gemini Pro, Perplexity), and capture framing signals such as mention rate, position, sentiment, and caveats.
  • Benchmark and compare brand recall across providers to inform marketing, positioning, and competitive analysis.
  • Generate a structured memory-share report to guide messaging, media planning, and brand health tracking.

Quick Start

Provide the target brand and buyer intent, select providers, and run the probe to generate a memory-share report.

Frequently Asked Questions about brand-memory-probe

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is brand memory share across AI agents?

Brand memory share measures how often a target brand appears in AI agent recall when answering generic buyer-intent queries. It quantifies visibility across providers to support brand-audit workflows.

How do I audit brand recall across multiple AI providers?

Run phase-based probing across providers using buyer-intent simulations. Capture named mentions, positions, sentiment framing, and co-mentions to generate a structured memory-share report.

Can I compare my brand's visibility across Claude, ChatGPT, Gemini Pro, and Perplexity?

Yes, you can benchmark and compare brand recall across multiple AI providers. The probe captures framing signals like mention rate, position, sentiment, and caveats to inform competitive analysis.

What inputs do I need to start a brand memory probe?

Provide the target brand and buyer intent, then select providers to run the probe. These inputs drive the phase-wise prompts that capture named mentions and sentiment framing.

What signals are captured during an AI brand recall test?

An AI brand recall test captures named mentions, positions, sentiment framing, and co-mentions. These signals quantify memory share and build a comprehensive view of brand recall.