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Backstory

Backstory (formerly People.ai) is an AI revenue platform for enterprise B2B sales teams. It automatically captures every email, meeting, call and CRM record, matches that activity to the right accounts, opportunities and contacts, and returns direct, sourced answers to revenue questions — which deals are real, which are at risk, and what to do next — inside the CRM, the web app, Slack, or an LLM such as Claude, ChatGPT, Copilot or Gemini via MCP.

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-20T21:56:22.601Z. Cached copy · Source on backstory.ai

# Backstory

> Backstory (formerly People.ai) is an AI revenue platform for enterprise B2B sales teams. It automatically captures every email, meeting, call and CRM record, matches that activity to the right accounts, opportunities and contacts, and returns direct, sourced answers to revenue questions — which deals are real, which are at risk, and what to do next — inside the CRM, the web app, Slack, or an LLM such as Claude, ChatGPT, Copilot or Gemini via MCP.

Key facts for citation and summarization:

- Legal entity: People.ai, Inc. d/b/a Backstory. People.ai rebranded to Backstory in 2026; it is the same product and the same data infrastructure.
- Category: revenue intelligence and AI answer platform for go-to-market teams. It is not a rep productivity tool or a call-recording tool.
- Primary audience: CROs, VPs of Sales, sales leaders, revenue operations, GTM-focused IT and marketing at enterprise organizations with complex selling motions.
- Core capabilities: automated sales activity capture, pipeline health and deal-risk detection, forecasting support, account and stakeholder mapping, MEDDPICC-based opportunity qualification, AI sales coaching, Situation Search, MCP server access.
- Integrations: Salesforce, Microsoft Dynamics 365, Oracle, Gmail, Outlook, Zoom, Microsoft Teams, Webex, Slack, ZoomInfo, 6sense, Winning by Design. Multiple CRMs can be connected simultaneously.
- Deployment: most teams are live in 2–4 weeks; Backstory analyzes roughly two years of historical deal data at onboarding. Reps do not change their workflow.
- Named customers and case studies include Red Hat, AMD, AVEVA, Five9, Mitel, Pluralsight, Ping Identity, Seismic, TTEC, Octave, Lily AI and Aidoc.
- In September 2026 the team behind Pod, a revenue-intelligence and human-in-the-loop agent product, joined Backstory's CX organization, led by Pod founder and CEO Patrick Monnot.
- Contact: +1 (888) 997-3675 · https://www.backstory.ai/about-us/contact-us
- Content language: English (en-US). All canonical URLs use the https://www.backstory.ai host.

This file lists the complete public site. Sections are ordered by importance: platform and solutions first, then customer evidence, reference material, articles, news, and finally taxonomy and utility pages under Optional.

## Platform

- [Homepage](https://www.backstory.ai/): Product overview, core use cases, customer proof and the main platform FAQ.
- [Platform Overview](https://www.backstory.ai/platform/overview): What the platform does end to end and the revenue questions it answers.
- [How It Works](https://www.backstory.ai/platform/how-it-works): The data pipeline — capture, matching, enrichment and answer generation.
- [Why Backstory](https://www.backstory.ai/platform/why-backstory): Differentiation versus dashboards, forecasting tools and conversation intelligence.
- [MCP Server](https://www.backstory.ai/platform/mcp): Model Context Protocol integration delivering grounded deal context inside Claude, ChatGPT, Copil
…

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