Qwairy

Muse Spark Visibility Tracker

See when Muse Spark recommends your brand, in which position, which sources it relies on and which competitors it names instead.
Start tracking Muse SparkBook a demo
  • 1 API model

Example answer

What are the best running shoes for a first marathon?

Muse SparkMuse Spark 1.3
Brand

Mentioned

Position #2

Competitors

2

2 brands observed

Sources

0

None observed

Modules

0

None observed

Answer

For a first marathon, favor cushioning, stability and a pair you have already broken in.

  1. New Balance for maximum cushioning on long runs
  2. Your brand praised by runners for comfort after 30 km
  3. Brooks a lighter pick for faster runners
Lefebvre Dalloz
Converteo
Nissan
Razorfish

One platform for Muse Spark and every other AI engine

Qwairy shows what AI engines say about your brand, explains why, tells you what to do next and measures the impact.

  • Visibility and position

    How often Muse Spark mentions your brand, in which position, prompt by prompt and over time.

    Monitor

  • Competitive benchmark

    The brands Muse Spark recommends next to yours, and how your visibility compares with theirs.

    Cockpit

  • Sources and citations

    The pages, media and social platforms Muse Spark cites, and which of your own pages it uses.

    Optimize

  • Sentiment and perception

    How Muse Spark describes your brand and positions it against your competitors.

    Analyze

  • Recommended actions

    Prioritized content and backlink opportunities, and citation-ready briefs in Content Studio.

    Act

  • Measured impact

    AI crawler visits, traffic from AI referrers and AI revenue, measured next to your visibility.

    Measure

How Qwairy tracks Muse Spark

Qwairy reads each engine where its answers are most complete: in its interface, by scraping the page your customers see, or through its official API, model by model.

Official API · premium models

Every model, side by side

Qwairy sends the same prompts straight to Meta models through the official API: compare versions and see which one names your brand, in which position and next to which competitors. These same models also write inside coding and content generation tools: what they know about your brand ends up in the text they produce.

  • Muse Spark 1.3

1

model compared

How Muse Spark answers

Muse Spark is the first model of Meta's Muse family, developed by Meta Superintelligence Labs and available to developers through the Meta Model API. Qwairy queries Muse Spark through the API, with web search, to show how it describes your brand.

  • Searches the web before answering questions about products and brands.
  • Writes structured comparisons, often with a short list of recommended brands.
  • Is offered to developers, so its answers also power the apps and agents built on it.

Who uses Muse Spark

Muse Spark is aimed at developers and companies that build assistants, agents and apps on Meta's models.

How to improve your visibility in Muse Spark

  1. 01

    Get your brand into the comparisons, reviews and guides that web search surfaces for your category: Muse Spark builds its answers from these pages.

  2. 02

    Keep prices, features and product names consistent on your site and on third-party pages.

  3. 03

    Compare Muse Spark with the Meta AI interface and other engines to spot where recommendations differ.

  4. 04

    Measure the impact: track the prompts that matter and follow mentions, sources and competitors in Muse Spark over time.

Explore the AI engine catalogue

Explore 18 AI engines and model families.

See the full AI engine coverage
AI engines and model families
18
AI vendors
15
AI models to monitor
28
countries covered
240+
languages
45+
Start with Qwairy

See how Muse Spark talks about your brand

Track your prompts in Muse Spark and every other major AI engine, then act on what they cite.

Start tracking Muse SparkBook a demo
FAQ

Muse Spark visibility tracking FAQ

What to know before you track your brand in Muse Spark.

Qwairy sends your prompts to Muse Spark models through the official API. Each answer is analyzed for brand mentions, position, sentiment, citations and competitors, with the same method used for every other engine.

No. Meta AI is Meta's assistant, built into its apps. Muse Spark is a Meta model that developers call through the Meta Model API. Its answers can differ from those in the Meta AI app, so Qwairy tracks it separately.

Muse Spark can search the web before answering, so its recommendations depend on the pages it finds. Tracking it shows whether your brand appears in its answers and which competitors it names instead.

Each engine retrieves different sources and names different brands. Two engines answering the same prompt can cite very different domains, so a good position elsewhere says little about Muse Spark.