> ## Documentation Index > Fetch the complete documentation index at: https://docs.metal.ai/llms.txt > Use this file to discover all available pages before exploring further. # Deal Profiles > Understand how Metal groups your firm's deal history and uses those groups for similar deals, similar companies, and benchmarking. **Deal Profiles** are firm-level groupings of your deal history. Metal generates them from the structured data it has about your deals and target companies, then uses them to power benchmarking surfaces outside chat. You can review profiles in **Settings** → **Deal Profiles**. This page is available to admins. ## Where similarity appears Metal can surface comparable information in several places: * **Similar Deals** widgets on deal dashboards and deal pages. These show other deals from your organization that match the current deal on shared profile signals. * **Similarities** chips in deal tables. These explain why a deal was selected, such as matching subsector, sector, revenue scale, EBITDA scale, outcome, or vintage. * **Similar Companies** on company profiles. This is a company-level view based on enriched company taxonomy, such as sector and subsector. * **Comparable-deal workflows**, when your organization has one configured. These can produce a richer output card or report for a specific research process. ## How Metal finds similar deals Metal starts with the current deal and its linked target company. It looks at structured signals such as: * Company taxonomy, including industry, sector, and subsector. * Deal intelligence extracted from your firm's data. * Financial scale, including revenue and EBITDA tiers when available. * Deal status, outcome, and timing where those fields are known. Metal then compares those signals against your organization's Deal Profiles. Deals in the same or closely related profile buckets become candidates for the **Similar Deals** surface. The strongest profile matches are prioritized first. For example, a shared subsector is generally a stronger explanation than a broad sector match. If multiple signals overlap, Metal shows the most useful reasons as **Similarities** chips. Similarity is scoped to your organization. Metal does not use another customer's data to find comparable deals. ## Similar deals vs. similar companies **Similar Deals** compares deal records. It is best for understanding how your firm has evaluated similar opportunities before. **Similar Companies** compares company records. It is best for finding other companies in the same sector or subsector, even when there is no deal history attached. ## Comparable-deal workflows Some teams use a workflow for deeper comparable-company or comparable-deal analysis. A workflow can be configured to inspect selected documents, pull structured deal data, compare scoring or financial metrics, and generate an output report. Use workflows when you need a repeatable research process or a formatted deliverable. Use the Similar Deals widget when you need a quick in-app benchmark against existing deal history. ## Improve match quality Similarity quality depends on the data Metal has. To improve results: * Link each deal to the correct target company. * Keep company taxonomy fields populated and reviewed. * Sync CRM fields that capture sector, subsector, revenue, EBITDA, stage, and outcome. * Upload and process CIMs, teasers, IC memos, and other relevant deal documents. * Ask an admin or Metal to review **Deal Profiles** if expected comps are missing. ## Related Create deals, link target companies, and track pipeline status. Manage company records and review enriched profiles. Run workflows and review generated output. Find admin settings, including Deal Profiles.