Updated September 26, 2026.
Archived article dated February 4, 2025. This dated product update has been edited for clarity. Launch details and roadmap statements below refer to the original publication date; screenshots are historical illustrations. See current membership options and the Mezzi help center for today’s product details.
With our newest feature, Exposure X-Ray, you can see your estimated look-through exposure to the largest companies owned by ETFs.
Do you own exchange-traded funds (ETFs) in your brokerage, retirement accounts, or robo-advisor accounts?
Exposure X-Ray is for:
1. Your full portfolio and individual accounts: Look-through estimates for covered fund holdings within the selected portfolio or account.
2. Stocks you own: Direct holdings combined with estimated exposure through covered ETF holdings.
3. Stocks you didn't realize you own: Discover hidden exposures within your ETF investments.
4. Understanding your ETF's top holdings: Get details on the biggest stocks in your ETFs.
5. Comparing your ETFs to alternatives: Perhaps you want to switch from VOO to VTI. Easily compare their top 10 holdings within Mezzi
Learn how X-Ray works
Your portfolio's look-through exposure
Visit the Concentration card for any of your accounts. Simply toggle on X-Ray to view your portfolio's estimated exposure based on ETF holdings. In the historical example shown, including covered fund holdings raised the displayed Apple exposure from 12% to 16% of that account. This is a change in the exposure calculation, not an investment return.
Uncover hidden exposure to stocks you own
Search for any stock in your portfolio and review the hidden exposure.
Uncover exposure to stocks you don't own
You may not own Apple directly, but if you own an index fund there is a good chance you have some hidden exposure to Apple.
ETF overlap
Understanding how much overlap your portfolio has with any given ETF. Just search for the ETF and clearly see which of the top holdings are in your portfolio already.
Compare ETF holdings and see what's best for you
Thinking about buying a cybersecurity ETF like HACK or BUG but want to minimize exposure to Crowdstrike? Compare their top holdings to see what's best for you.
Other updates
1. Bank connections. In case you missed it, we recently launched bank account connections.
2. Fixed issues with Search: Search wasn't working consistently. We believe we have resolved the underlying cause. Please let us know if you encounter any issues.
3. Webull: You can now connect Webull accounts.
4. Personalizing your accounts: You can now rename, change tags, hide, and reconnect your brokerage and bank accounts from the Profile page. Go to Profile and then Linked brokers.
The arithmetic behind look-through exposure
Suppose a $100,000 portfolio contains $6,000 of a company directly and $50,000 in a fund that holds 4% in that company. The fund contributes an estimated $2,000 of indirect exposure, giving $8,000, or 8% of the portfolio, before other funds are considered. It does not mean you hold additional shares of the company in your brokerage account.
What does a top-holdings view leave out?
This launch emphasized the largest ETF holdings and top-ten comparisons. Those are useful for spotting major overlap, but they are not evidence that every holding in every fund is included. Check the fund-data date and covered accounts; fund weights change.
The named ETFs and companies above illustrate the release's workflow, not current recommendations. Before substituting one fund for another, look beyond the overlap shown here to its objective, fees, risks and tax consequences. Investor.gov explains the role of a fund's prospectus and shareholder information.
Explore the current experience in your own account, or check the Mezzi help center for current setup and availability.
Open MezziBy Manish Jain, CFA, co-founder of Mezzi. Original publication date retained; editorial clarification September 26, 2026.
This historical product update is for informational purposes. Examples are illustrative, not investment recommendations or promised results. Account coverage and data quality affect analysis. Review assumptions before acting; AI can make mistakes.