Introducing Support for Meta AI / Muse Tracking

LLM Pulse added tracking for Meta AI and its Muse model family, letting brands measure how often Meta AI mentions them across tracked prompts. Meta AI passed 1 billion monthly active users across Facebook, Instagram, WhatsApp and Messenger in May 2025, and Meta Superintelligence Labs launched the Muse Spark multimodal reasoning model with a one-million-token context window in April 2026, updated to version 1.3 on 2 September 2026. Meta announced Muse, a personal AI agent with a built-in browser, on 8 September 2026, with a free tier and paid plans at 20 and 100 dollars per month, initially in the US.

Meta AI passed 1 billion monthly active users across Facebook, Instagram, WhatsApp and Messenger in May 2025 Meta . No other AI assistant sits this close to where people already spend their day: in the middle of a group chat, under an Instagram post, inside a Facebook Marketplace search. In 2026, Meta rebuilt that assistant. Muse Spark, the first major model from Meta Superintelligence Labs, launched in April and now powers Meta AI across Meta’s apps. In September, Meta went a step further and announced Muse, a personal AI agent with its own browser Axios, 8 September 2026 . The assistant your customers ask for recommendations is changing fast. Starting today, you can measure it in LLM Pulse. Table of Contents What is Meta Muse? “Muse” is the name Meta uses for its new family of AI models and products . The ones that matter for brand visibility are: Muse Spark. A multimodal reasoning model with a context window of one million tokens, introduced in April 2026 and updated several times since, with version 1.3 released on 2 September 2026. It is the model behind the Meta AI assistant in Meta’s apps and on meta.ai. Muse, the personal agent. Announced on 8 September 2026, it is a long-running assistant with a built-in browser that can act on the user’s behalf, with a free tier and paid plans at 20 and 100 dollars per month, initially in the US Axios . Meta has also released Muse Image for image generation and Muse Code for software development, but those are less relevant for how your brand is described in answers. LLM Pulse tracks Meta AI through Muse Spark together with Meta’s own web search, which is how the assistant answers questions about products, companies and current information. Why Meta AI matters for your brand It lives inside conversations. People ask Meta AI for recommendations in the same place they ask friends. A mention there carries a social, word-of-mouth weight that a search result does not. It reaches audiences other assistants do not. WhatsApp is the default messaging app across Latin America, much of Europe, India and Africa. For many of those users, Meta AI is the first and sometimes only AI assistant they use. It is moving from answers to actions. With the Muse agent able to browse and act, recommendations increasingly turn into bookings, purchases and sign-ups without a traditional website visit in between. If you want to understand where that goes, our guide to agentic commerce https://llmpulse.ai/blog/agentic-commerce/ is a good starting point. Its sources are not Google’s. Meta AI answers with Meta’s own web search, so the sources it trusts and the brands it surfaces can differ a lot from Gemini or AI Overviews for the same question. What Meta AI / Muse tracking adds to LLM Pulse | What you get | What it tells you | |---|---| | Brand visibility in Meta AI | How often Meta AI mentions your brand across your tracked prompts | | AI Visibility Score | Position-weighted visibility, so being recommended first counts more than being listed last | | Share of voice | How Meta AI splits its recommendations between you and each competitor | | Sentiment | The tone Meta AI uses when it talks about you, with the exact sentence as evidence | | Sources | The pages Meta AI relies on when it searches the web, where they are returned with the answer | | Trends and Models Comparison | How Meta AI evolves with each Muse Spark update and how it differs from ChatGPT, Gemini or Claude | Our guide to measuring AI share of voice https://llmpulse.ai/blog/measure-ai-share-of-voice/ explains how to benchmark these numbers, and the AI Visibility Score https://llmpulse.ai/blog/ai-visibility-score/ post covers why position matters so much in conversational answers. How it works 1. Activate the add-on. Open Plans & Billing, select Meta AI / Muse, choose weekly or daily tracking and confirm the price for your plan. 2. Your existing prompts start running in Meta AI. Every prompt already in your project runs against Meta AI on the next execution, in the countries and languages you already track. 3. Review answers and mentions. Open any prompt to read Meta AI’s full answer, see which brands it recommends and in what order, and how it describes each one. 4. Compare and act. Use Models Comparison to find prompts where Meta AI favors a competitor, annotate Muse Spark updates on your timeline, and turn gaps into content and PR work. What this means in practice Consumer brands get a missing piece of the funnel. Fashion, beauty, food, travel and retail brands can finally see what happens when someone asks Meta AI “what should I buy?” in the app where they discovered the product. Model updates become visible. Muse Spark has shipped several versions in a few months. Each one can reshuffle recommendations. Add annotations in LLM Pulse and check the Tremor AI Search Volatility Tracker https://llmpulse.ai/tremor to separate a model update from a real change in your visibility. Social presence and AI visibility start to merge. Your reviews, your community and what people say about you online feed the answers. Reputation work and AI visibility work become the same job, which is why our AI reputation tools https://llmpulse.ai/blog/best-ai-reputation-tools/ roundup belongs next to your social listening stack. “ My parents do not use ChatGPT. They use WhatsApp every single day, and now they ask Meta AI things there. That is the moment I understood we could not call our coverage complete without it. Every AI model you can track with LLM Pulse Meta AI / Muse joins a lineup of 18 AI models and AI search experiences, tracked in every country and language, with the same prompts and metrics across all of them. | Model or experience | Availability | Best for understanding | |---|---|---| | ChatGPT | Included in every plan | The largest consumer AI assistant and its web search answers | | Perplexity | Included in every plan | Citation-heavy research answers | | Google Gemini | Included in every plan | Google’s assistant across Android and Workspace | | Google AI Mode | Included in every plan | Google’s conversational search mode | | Google AI Overviews | Included in every plan | AI summaries on top of Google results | | Claude | Self-serve add-on | Developers, B2B and enterprise research | | Microsoft Copilot | Self-serve add-on | Windows, Edge and Microsoft 365 users | | Grok | Self-serve add-on | xAI’s assistant inside X | | DeepSeek | Self-serve add-on | Open-weight model popular in Asia and with developers | | Meta AI / Muse | Self-serve add-on | Meta AI across WhatsApp, Instagram, Facebook and Messenger | | Naver AI Briefing | Self-serve add-on | AI answers in South Korea’s leading search engine | | Baidu AI | Self-serve add-on | AI-generated answers in Baidu Search, China | | Qwen | Talk to sales | Alibaba’s model family | | MiniMax | Talk to sales | Chinese AI assistant ecosystem | | Mistral | Talk to sales | Europe’s leading AI lab and Le Chat | | Alexa for Shopping | Talk to sales | Amazon’s AI shopping recommendations | | Walmart Sparky | Talk to sales | Walmart’s AI shopping assistant | | Brave AI | Talk to sales | AI answers in Brave Search | Consumer brands usually get the most complete picture by combining Meta AI with ChatGPT, Gemini and the shopping assistants. Our list of the best AI visibility tools https://llmpulse.ai/blog/best-ai-visibility-tools/ explains how coverage differs across platforms. Start tracking Meta AI today Your customers are already asking Meta AI about you, in the chats where they make decisions with friends and family. Start your 14-day free trial https://llmpulse.ai/users/sign up , add Meta AI / Muse from Plans & Billing, and read its answers on the next run. FAQ What does Meta AI / Muse tracking mean in LLM Pulse? It means LLM Pulse runs your tracked prompts against Meta AI, using Muse Spark and Meta’s own web search, and analyzes every answer for brand mentions, position, competitor presence, share of voice and sentiment. The data sits in the same dashboards as your other models. What is the difference between Meta AI, Muse Spark and Muse? Meta AI is the assistant inside WhatsApp, Instagram, Facebook, Messenger and meta.ai. Muse Spark is the model that powers it, launched in April 2026. Muse is also the name of Meta’s personal AI agent announced in September 2026, which builds on the same technology. Does tracking follow new Muse Spark versions? Yes. LLM Pulse tracks Meta AI with the current model Meta uses for the assistant, so when Meta ships a new version your data reflects it. Use annotations to mark release dates and see their impact on your visibility. Can I track Meta AI in languages other than English? Yes. LLM Pulse tracks every country and language at no extra cost, which matters for Meta AI because so much of its usage comes from WhatsApp users outside the US. Run your prompts in Spanish, Portuguese, Hindi or any other language your customers use. How much does Meta AI / Muse tracking cost? It starts at 12 € per month on Starter with weekly tracking and scales with your plan, because it covers every prompt your plan includes. Daily tracking is available on every tier. How can I improve my visibility in Meta AI? Make sure your brand information is accurate and consistent across the web, earn coverage and reviews on the sources Meta AI relies on, and keep your social presence active and credible. Then use LLM Pulse to find the prompts where competitors win, act on them and measure the result after each model update.