Meta Muse Marketing & AI Optimization Tool

Track & Improve How Your Brand Gets Recommended by Meta’s Muse

Optimize your brand’s presence in Muse, Meta’s new family of AI models and its personal AI agent that completes tasks on a user’s behalf. Looking for Meta’s conversational assistant instead? See Meta AI.

model Muse Muse
Get chosen by the 2.2M+ people who delegate tasks to Muse daily. The personal AI agent built for busy people who hand off tasks, from research to checkout.
Goodie Monitor dashboard showing visibility score, share of voice, position rank and brand mentions in AI search

Why Optimizing for Muse Matters

01

Answering questions → taking action

Muse, Meta's personal agent, runs errands, books travel, manages schedules, and completes multi-step tasks for a user. When an agent picks a vendor, product, or service for someone, the brands it trusts become the default choice.

02

A different source ecosystem than other engines

Muse runs on Meta's own models and browses the web and connected services for its users, so the sources it relies on can differ from ChatGPT, Gemini, or Perplexity. That changes which signals matter: your presence across the web, your social footprint, reviews, and coverage.

03

Buying decisions happen out of sight

Muse can keep researching and comparing options after the user closes the app. Users often only see the final pick, so a brand cut from Muse's shortlist never gets a chance to compete.

KEY FEATURES

Complete Visibility & Control in Muse

Goodie Prompt Research view showing the questions users ask AI engines in a category

Prompt Research

Find the tasks people hand to Muse in your category, and prioritize the high-intent requests where brands get chosen.

Goodie Visibility Monitoring view tracking brand mentions, sentiment and competitive position across AI engines

Visibility Monitoring

Track brand mentions, share of voice, sentiment, and competitive positioning in Muse’s actions.

Goodie AI Agent Analytics view showing AI crawler activity and pages indexed

Citation & Source Analysis

See which sources Muse draws on when it acts in your category, and where your brand is missing.

Goodie Optimization Actions view with prioritized recommendations for content, sources and earned media

Optimization Actions

Get prioritized recommendations for content, sources, and earned media. Goodie flags the gaps and tells you what to do next.

Goodie Content Studio drafting content built to be understood and cited by AI engines

Content Studio

Create content built to be understood and cited by Muse while keeping your brand voice.

Goodie Agentic Commerce Suite view for optimizing product visibility in AI shopping

Agentic Commerce Suite

Optimize your products so Muse can find them, compare them, and choose them for buyers.

Goodie Analytics and Attribution view showing AI traffic, sessions and conversions by engine

Analytics & Attribution

Connect your Muse visibility to traffic, conversions, and revenue, so you can prove AEO’s downstream impact.

tech details

How Goodie Tracks Muse

model

Muse Muse
01

Model Coverage

Muse is powered by Muse Spark, with automatic updates for new releases and feature enhancements.

02

Update Frequency

Daily data collection with real-time monitoring for high-priority topics and competitive shifts.

03

Analysis Depth

Prompt testing built around how people delegate to Muse: researching vendors, comparing products, booking services, and making purchases. Prompts span industries, use cases, and buyer personas.

04

Market Coverage

Tracking in English across Muse's current markets, the US and Canada, with coverage expanding as Muse rolls out to more regions and languages.

FAQ

Questions?
We have
the answers.

Muse is Meta’s personal AI agent. It takes a goal and completes multi-step tasks on a user’s behalf, like researching, shopping, and booking. Meta AI is Meta’s conversational assistant inside WhatsApp, Instagram, Facebook, and Messenger. Both run on Meta’s models, but they are separate products, and Goodie tracks them separately.

Goodie runs prompts across Muse spanning tasks, personas, and use cases that matter in your category. It records direct mentions, competitor comparisons, product recommendations, citations, and sentiment, so you can see how Muse treats your brand. Visibility Monitoring shows the exact prompts where your brand appears, along with volume, competitive context, and sentiment.

Each engine draws on different models and sources. Muse browses the web and connected services as it works, so a brand that ranks well elsewhere can still be missing from Muse’s recommendations. Goodie tracks each engine separately so you can see where you stand in each.

Muse pulls from the web pages and services it visits while completing a task. Goodie’s Citation & Source Analysis shows which sources appear in Muse’s responses for your category and where your brand is absent.

Social optimization focuses on posts, reach, and followers. Muse optimization focuses on whether an agent finds, trusts, and selects your brand when it completes a task. Your social footprint is one signal among several.

Timing depends on your category and what you publish. Goodie tracks your visibility over time, so you can see movement as your content and sources improve.

Other models we track

Optimize Across
All Major AI Models

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