> ## Documentation Index
> Fetch the complete documentation index at: https://docs.benefitflow.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Data Source: Deep Research, by BenefitFlow AI

## AI-Powered Insights That Turn Hours of Research Into Minutes

### What Is Deep Research?

**Deep Research** is BenefitFlow’s AI-powered research agent that turns scattered public data into a clean, source-linked brief on an employer in seconds. By automatically scanning benefits guides, regulatory filings, careers pages, employee-review sites, press releases, and more, it equips benefits professionals with the context they need—before the first outreach, discovery call, or renewal conversation.

<Frame>
  <img src="https://mintcdn.com/benefitflow/3AlZFAaq1xh6BhV6/images/image-57.png?fit=max&auto=format&n=3AlZFAaq1xh6BhV6&q=85&s=856d3c174bc46e7e70b8799646f4cfed" alt="Visual of Deep Research report in the BenefitFlow platform" width="2036" height="1444" data-path="images/image-57.png" />
</Frame>

### How It Works

| Layer                     | What Happens                                                                                                                  | Why It Matters                                                       |
| :------------------------ | :---------------------------------------------------------------------------------------------------------------------------- | :------------------------------------------------------------------- |
| **1. Data Layer**         | Our crawlers continuously collect unstructured content (PDFs, HTML, forum posts, etc.) and store the raw documents.           | Guarantees a wide, up-to-date data footprint.                        |
| **2. Intelligence Layer** | Large-language-models extract vendor names, renewal dates, plan design details, employee sentiment, recent changes, and more. | Filters noise and surfaces only the facts that change conversations. |
| **3. Experience Layer**   | BenefitFlow presents insights in a clean, structured report with citations linked back to the original sources.               | Saves hours of manual research and makes every data point auditable. |

### Key Use Cases

| Audience             | How Deep Research Helps                                                                                                                                      |
| :------------------- | :----------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **Benefits Vendors** | Detect employers with problems your solution fixes (e.g., negative sentiment around current wellness program) and personalize your outreach with confidence. |
| **Carriers**         | Spot recent carrier changes, understand how employees feel about the switch, identify coverage gaps, and sense competitive inroads—before the RFP drops.     |
| **Brokers**          | Walk into discovery calls already knowing the vendor lineup, renewal dates, and hot-button employee issues, so you advise instead of interrogate.            |

### FAQs

<AccordionGroup>
  <Accordion title="How often is the data refreshed?">
    Most web sources are re-crawled daily; large PDFs and filings are rechecked monthly.
  </Accordion>

  <Accordion title="What sources are included?">
    Benefits guides/SPDs, careers pages, press releases, employee reviews, social posts, SEC filings, corporate blogs, trusted 3rd parties, and much much more.
  </Accordion>

  <Accordion title="Is the data verified?">
    Yes. Each extracted fact carries a direct link to its source. Hover to preview, click to open the original page.
  </Accordion>

  <Accordion title="How does it protect sensitive data?">
    All processing occurs in a SOC 2 Type II–certified environment. We only ingest publicly available information; no client or employee PII is stored.
  </Accordion>

  <Accordion title="How can I provide feedback?">
    We'd love to hear how you're using Deep Research and how we can continue to improve this exciting new feature!  Feel free to leave feedback via the in-app chat widget or email us at [customerteam@benefit-flow.com](mailto:customerteam@benefit-flow.com).
  </Accordion>
</AccordionGroup>