Meta AI Gets a Major Business Upgrade With Access to Ads, Instagram, Facebook and Google Workspace

Meta is expanding Meta AI with new features designed to make the assistant more useful for small businesses. The update allows businesses to connect their Facebook, Instagram, Meta Ads and Google Workspace accounts, enabling Meta AI to analyse their own business data and answer performance-related questions.

The new tools are aimed particularly at small teams that may not have dedicated analysts or marketing agencies. Instead of relying solely on dashboards and spreadsheets, businesses can ask Meta AI questions about their content, advertising campaigns and business data within a conversation.

Meta AI Can Analyse Facebook and Instagram Performance

Meta AI can now work with performance data from Facebook and Instagram, including reach, saves, shares, comments and profile visits.

Businesses can ask the assistant which posts performed best during a specific period, identify common patterns among successful posts and understand which content formats are generating stronger engagement.

For example, a business could ask Meta AI why product demonstration videos are receiving more saves than static posts or whether behind-the-scenes content is contributing to higher profile visits.

Meta AI can also compare a business's performance with publicly available content and engagement data from similar brands. This could help smaller businesses understand how their posting frequency, content formats and engagement levels compare with competitors.

Meta AI Brings Conversational Meta Ads Analysis

The update also adds new ways to analyse Meta Ads performance. Businesses can ask Meta AI to review campaigns over a selected period, compare ad sets, identify better-performing audiences and highlight creatives that may be losing effectiveness.

The conversational approach could make campaign analysis faster. Instead of switching between Ads Manager, spreadsheets and reports, businesses can ask follow-up questions and explore performance trends in the same conversation.

Meta AI can also suggest where advertising budgets could potentially be used more effectively. Businesses can request an ad performance audit and even turn the results into a three-slide presentation, making it easier to share campaign updates with teams, partners or clients.

Google Workspace Integration Adds More Business Context

One of the biggest additions is support for Google Workspace. Businesses can connect services including Gmail, Docs, Sheets and Slides, allowing Meta AI to use information from those platforms alongside Facebook, Instagram and advertising data.

This could enable businesses to ask questions that combine marketing performance with information stored in emails, planning documents, sales spreadsheets and presentations.

Meta AI can also create documents, presentations and spreadsheets using information from connected business data and the web. Businesses can set recurring tasks and reminders, such as regular content or advertising performance updates.

Meta AI Mac App Adds Screen Sharing and Dictation

Meta is also launching a Meta AI desktop app for Mac. Users can share a window during a session, allowing the assistant to view what they are working on and provide suggestions based on the visible content.

The Mac app also includes built-in dictation, which can be used across Mac applications for hands-free interaction.

Meta AI Becomes a More Practical Business Assistant

The latest features reflect the broader push to integrate AI assistants directly into workplace and advertising workflows. Meta's advantage is its access to business activity across Facebook, Instagram and Meta Ads, while Google Workspace integration adds another layer of business context.

The features are beginning to roll out across meta.ai, the Meta AI mobile app and the new Mac desktop app. Meta says additional integrations and capabilities are planned for the coming months.

For small businesses, the usefulness of the update will ultimately depend on how accurately Meta AI can interpret connected data and turn it into clear, actionable recommendations without requiring users to manually build reports or analyse multiple dashboards.