You can now resolve many audit recommendations directly from the audit results page. Action buttons and guided actions let you fix flagged issues without opening another Optmyzr tool first.

This makes it much faster to move from finding problems to fixing them, especially when you're reviewing multiple recommendations at once. (User Guide)

Sidekick and Optmyzr MCP can now create and apply new positive and negative keywords directly to your Google Ads and Microsoft Ads accounts.

When Sidekick (or another AI assistant connected through MCP) suggests keyword changes, it opens a preview in the chat where you can review, edit, and approve the recommendations before they're applied.

Note: Your review and approval are always required. (User Guide)

You can now export AI-generated Feed Audit recommendations as a CSV directly from the Feed Audit side tray.

The export includes suggestions for titles, descriptions, and Google product categories, making it easier to review recommendations with your team before applying changes in bulk. (User Guide)

If you organize your Amazon campaigns using portfolios, you can now use them throughout Optmyzr.

Portfolio Name is now available as a Rule Engine attribute across supported Amazon scopes like Campaign and Bid Adjustment. You can also group campaigns by Amazon Portfolio in the Criteria Filter View across all Optmyzr tools (except alerts).

This makes it much easier to analyze, filter, and automate campaigns based on the portfolio structure you already use.

The Campaign Creation preview page now supports AI-assisted editing, allowing you to ask AI to rewrite headlines, descriptions, keywords, sitelinks, callouts, and more directly from the preview. You can also request suggestions for individual fields when you only want to refine specific assets.

Every change remains in draft until you explicitly apply it to Google Ads, giving you complete control before publishing. (User Guide)

Campaign Automator now supports AI Max campaigns end to end, allowing you to configure search term matching, Final URL Expansion, URL targeting rules, brand inclusions and exclusions, and the ad assets used for AI Max creative optimization—all from a single workflow.

Note: Enabling AI Max for existing Search campaigns is not yet supported in Optmyzr. This step must still be completed in Google Ads. (User Guide)

The Performance-based reallocation strategy in Budget Monitor evaluates campaign performance when redistributing budgets, helping shift spend toward stronger-performing campaigns while maintaining fair budget distribution across campaign types, including brand campaigns with zero conversions.

The performance data used for reallocation is based on the selected budget cycle, that is, monthly, weekly, or quarterly. (User Guide)

You no longer need to check Automation History to confirm your Rule Engine strategies have run. Rule Engine can now send a notification even when an automation completes without finding any matching entities, giving you confidence that your strategy executed successfully.

Rule Engine summary emails also include a direct link back to the strategy, making it easier to review or update your automation.

Note: This feature is currently available on request. Contact support@optmyzr.com to enable it for your account. (User Guide)

Search your accounts the way you think. The All Accounts Dashboard now includes Ask AI, allowing you to filter, sort, and search accounts using natural language instead of manually configuring filters.

Ask questions like "Which accounts had the biggest drop in performance last week?", use pre-built prompts for common queries, or continue your investigation in Sidekick for deeper, multi-step analysis.

To learn more, read here.

Feed Audit for Microsoft Ads now includes eight additional audit widgets, bringing it to feature parity with Google Ads.

The new widgets help you identify:

You can now configure Performance Max asset optimization settings directly from Shopping Campaign Management, eliminating the need to switch to Google Ads.

Available settings include:

Rule Engine for Meta Ads now includes Campaign Start Date and Campaign End Date at the Campaign level, and Ad Set Start Date and Ad Set End Date at the Ad Set level.

You can use these dimensions to create automations based on campaign schedules—for example, sending alerts as a campaign approaches its end date or targeting campaigns that are about to start.

You can read more about the attributes available for Meta Ads in Rule Engine, in these articles:

Reporting for Meta Ads and LinkedIn Ads now includes several new pre-built widgets.

These include:

You can add these widgets to both single-account and multi-account report templates to build richer reports with less manual work. (User Guide)

We've added several ready-to-use report templates for Meta and LinkedIn Ads to help you create reports more quickly.

The new templates include:

Start with one of these templates and customize it to match your reporting needs. (User Guide)

You can now use weather conditions to automate your Meta Ads campaigns. Rule Engine lets you pause or enable campaigns based on weather in specific locations, helping you align ad spend with real-world demand. (User Guide)

The Optimize Campaigns by Weather tool is also available for managing weather-based automations for Meta Ads. (User Guide)

Ad Analyzer now includes an All Ads filter at both the Portfolio and Account levels.

Instead of applying filters before reviewing creative performance, you can instantly see every ad across an account or portfolio—the same streamlined experience already available in Social Campaign Manager. (User Guide)

The Image Editor in the Ad/Ad Sets tab in the Social Campaign Manager now runs on an upgraded AI-powered creative engine, helping you produce more ad variations with less effort.

New capabilities include:

Everything is available directly within Optmyzr, making it easier to create, test, and iterate on Meta ad creatives. (User Guide)

Support for LinkedIn Ads is now expanded in the Optmyzr MCP integration.

When you connect Optmyzr to Claude or another MCP-compatible AI tool, you can query LinkedIn Ads data using natural language alongside your Google Ads, Microsoft Ads, Amazon Ads, Meta Ads, and other connected advertising platforms. (User Guide)