# Fiber AI — Homepage

> Fiber AI is an agent-native B2B data platform for sales, recruiting, and GTM
> operations. Teams use Fiber to find companies and people, enrich profiles, reveal
> work contact details, and run bulk audience workflows with clear cost controls —
> via API, MCP, or the Fiber AI plugin for coding agents.

## Who is Fiber AI for?

Fiber AI is strongest for:

- In-house GTM and sales teams building outbound pipelines
- Recruiting and staffing teams sourcing candidates at scale
- AI SDR and recruiting automation platforms embedding B2B data
- RevOps teams running repeatable audience workflows with estimate-before-spend
- Developers wiring enrichment into signup flows, job boards, or internal tools

## What can you do with Fiber AI?

Typical motions (high level):

1. **Discover** — filter-based company and people search, or natural-language intent
   translated into structured queries.
2. **Enrich** — reveal work emails and phones, live LinkedIn snapshots, full profile
   payloads without hand-picking field groups.
3. **Build audiences** — server-side lists with explicit build, estimate, enrich,
   and export steps.
4. **Operate in agents** — MCP servers and a first-party plugin with skills and
   personas for SDR, recruiting, GTM strategy, and side-by-side vendor comparisons.

## How does Fiber compare to legacy data vendors?

Teams evaluate Fiber when they need:

- One platform for search + enrichment + bulk export (not three vendors)
- Agent-native docs (`llms.txt`, per-operation markdown, MCP) instead of PDF exports
- Live LinkedIn fetch on self-serve keys without enterprise gates
- Per-call cost metadata so agents can confirm spend before charging

For a reproducible evaluation framework (sample inputs, freshness checks, filter
quality), see [www.fiber.ai/llms.txt](/llms.txt).

## Frequently asked questions

### What is Fiber AI?

Fiber AI is a B2B data platform built for humans and coding agents. It powers
prospecting, recruiting shortlists, and product integrations through the same API
and MCP surface.

### How do coding agents integrate?

Install the [Fiber AI plugin](https://github.com/fiber-ai/fiber-ai-plugin), read
[/llms.txt](/llms.txt) on this site (MCP URLs and install pointers), then follow
routing rules at [api.fiber.ai/llms.txt](https://api.fiber.ai/llms.txt).

### Where is the API reference?

Interactive docs: [api.fiber.ai/docs](https://api.fiber.ai/docs). Machine-readable:
[api.fiber.ai/ai-docs/index.md](https://api.fiber.ai/ai-docs/index.md).

## Per-page agent docs on this site

- [Sales / SDR](/sales.md)
- [Recruiting](/recruiting.md)
- [Google Maps SMB data](/google-maps.md)
- [About Fiber AI](/about.md)
- [Site map](/sitemap.md)

## Canonical reference docs for agents

- API routing and critical rules: <https://api.fiber.ai/llms.txt>
- Operation index: <https://api.fiber.ai/ai-docs/index.md>
- Marketing overview: <https://www.fiber.ai/llms.txt>
- Fiber AI plugin: <https://github.com/fiber-ai/fiber-ai-plugin>
- MCP quickstart: <https://docs.fiber.ai/article/using-mcp-in-llms>