# Brand Risk Radar for B2C CEOs and Comms Teams | Rippit

> Get ahead of the story before it gets ahead of you. Brand Risk Radar is an AI agent for CEOs and comms teams at B2C brands.

Canonical: https://www.rippit.com/use-cases/brand-risk-radar-b2c

**B2C**Executive agent for the CEO and comms team

# Brand Risk Radar

Get ahead of the story before it gets ahead of you.

This agent watches support conversations, bot chats, internal chats and the web for issues gaining momentum that could go public, like billing errors, product safety issues or data concerns. When one starts to spread, leadership gets an alert with the volume trend, where it's showing up and a drafted response, from what to tell customers to the fix to prioritize.

[Try Rippit free](https://app.rippit.com/signup)

[or request demo](https://www.rippit.com/request-demo)

The problem

## One post can undo years of trust. Most CEOs hear about it last.

84%

**of consumers say a brand’s response speed directly affects how they view a crisis.**

Only **37%** of senior executives know where negative sentiment about their brand is concentrated, down from 56% two years earlier.

Source: Sprout Social Q2 2026 Pulse Survey, conducted by Glimpse (2,250 social media users in the U.S., U.K. and Australia, May 2026); WTW, Reputational Risk Readiness Report 2026 (500 senior executives, early 2026)

How it works

## What could hurt your brand, caught before it goes public

Three steps. It watches every channel, spots what's building, and alerts leadership with the trend and a plan to respond.

Ingest

### Inside and outside signals, together

**Help desk**

**Bot chats**

**Internal chats**

**Review sites**

**Social + forums**

**Anything else**

Analyze

### Issues tracked before they go public

**One row per issue**Agent adding fields…

| Issue | Volume | Next step |
| --- | --- | --- |
| **Charger overheating** | **380 today** | Safety review + public statement |
| **Double billing** | **142 today** | Refund fix + FAQ update |
| **Late deliveries** | **260 today** | Carrier fix, nothing public |

**2 issues building fast** · 1 plan drafted

Act

### Leadership alerted with a response ready

**Brand risk alert**Exec channel in Slack, or email

**Overheating reports** up 8x since Monday, now on TikTok.

Alert sent

**Response plan**

Customer note, public statement and fix ticket drafted in the alert, ready for you to send.

Plan drafted

**\+ Any connected MCP**

Open a Linear issue for the fix, or an incident in any tool you connect through MCP.

[See MCP connections →](https://www.rippit.com/integrations/docs/real-time)

FAQ

## Questions

### What sources can it use?

Support tickets, bot chats and the Slack channels you invite Rippit to, plus web research on review sites, Reddit, LinkedIn and news. Anything else comes in through the Ingest API or a CSV. [See integrations →](https://www.rippit.com/integrations)

### What counts as brand risk?

Anything that could go public and hurt trust, like product safety issues, billing errors or data concerns. You decide what it watches for and how sensitive the alerts are.

### How does it know an issue is gaining momentum?

It tracks how often each issue comes up day over day across support, bot chats, internal chats and the web, and flags it when volume climbs or it starts showing up in public.

### Will it respond on its own?

No. It drafts the customer note, the public statement and the fix ticket in the alert. Nothing is posted or created unless an admin turns on a write tool, like creating Linear issues, and you decide what goes out.

### Where do the alerts go?

To your exec channel in Slack, to email, or to any tool you connect through MCP. It runs daily by default, and you can run it hourly. [See MCP connections →](https://www.rippit.com/integrations/docs/real-time)

## Be the first to know, not the last.

Connect your conversations and web sources, and get your first risk scan, with a plan for anything that's building.

[Try Rippit free](https://app.rippit.com/signup)

[or request demo](https://www.rippit.com/request-demo)

## Getting started from an AI agent

There are two ways to connect. Either works.

- MCP server: `https://mcp.rippit.com/mcp` (Streamable HTTP, OAuth). The person signs in or signs up in the browser that opens. No client ID, secret or API key is needed.
- CLI: install with `curl -fsSL https://rippit.sh | sh`, then get an account one of two ways:
  - `rippit login`: the person signs in or signs up in a browser.
  - `rippit start`: creates a temporary account with no email or browser, for a person with no Rippit account. `rippit claim --wait` lets them keep it; an unclaimed account is deleted after 14 days.

Then bring in data: connect a provider such as Zendesk, Intercom, Gong or Salesforce, or upload a CSV.

Full steps: https://www.rippit.com/setup.md