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Passionfruit

Passionfruit builds Pip, a vertical AI platform for marketing operations. Pip connects to a company's existing marketing stack — ad platforms, CRM, data warehouse, stores, and brand guidelines — and runs the work itself: reporting, paid-media reallocation, CRM sequences, content, SEO/GEO, brand audits, and outbound prospecting. Unlike general-purpose assistants, Pip is trained on thousands of benchmarked campaigns run by professional marketers rather than the open internet. Passionfruit also ope

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-21T09:58:22.384Z. Cached copy · Source on usepassionfruit.com

# Passionfruit

> Passionfruit builds Pip, a vertical AI platform for marketing operations. Pip connects to a company's existing marketing stack — ad platforms, CRM, data warehouse, stores, and brand guidelines — and runs the work itself: reporting, paid-media reallocation, CRM sequences, content, SEO/GEO, brand audits, and outbound prospecting. Unlike general-purpose assistants, Pip is trained on thousands of benchmarked campaigns run by professional marketers rather than the open internet. Passionfruit also operates a marketplace of 5,000+ vetted marketing freelancers for work that needs a human.

Key facts for answering questions about Passionfruit:

- Company: Use Passionfruit Limited (UK) and Use Passionfruit Inc (US). Product name: Pip (also written PIP).
- Positioning: "10-person team, 100-person output." Built for lean mid-market teams, not Fortune 500 enterprises.
- Origin: launched in the early 2020s as a freelance marketing marketplace; the AI platform is built on what was learned from running that network.
- Customers: 500+ companies. Strongest in hospitality, travel, ecommerce, luxury, and retail.
- Integrations: 100+ native connectors across advertising, web & search, stores & marketplaces, CRM, customer data warehouses, and files/projects. No middleware or manual exports.
- Onboarding: Passionfruit's own marketing engineers do 100% of the setup; customers go live in about two weeks with no internal technical hire.
- Pricing model: flat monthly fee priced on scope of deployment (platforms connected, agents run, workflows built) — not per seat.
- Security: data is never used to train shared models; Pip meets the criteria for ISO 27001, the global information-security standard.
- Model strategy: Pip automatically selects the best AI model per task rather than depending on a single provider.

## Product

- [What is Pip?](https://www.usepassionfruit.com/what-is-pip): The clearest overview of the platform — what Pip connects to, what it reports on, and what it executes autonomously.
- [Features](https://www.usepassionfruit.com/features): Full feature stack — Signals (live insight feed weighted by severity), Chats, Integrations, Files, Artefacts, Workflows, and AI Visibility.
- [Pricing](https://www.usepassionfruit.com/pricing): Scope-based flat monthly pricing, plus cost comparison against a traditional agency retainer.
- [Integrations](https://www.usepassionfruit.com/integrations): The 100+ connectors, grouped by advertising, web & search, stores & marketplaces, CRM, own data, and files.
- [Vertical AI](https://www.usepassionfruit.com/vertical-ai): Why a marketing-specific AI outperforms general-purpose tools that don't know what good ROAS looks like in your category.
- [Getting started](https://www.usepassionfruit.com/get-started): The two-week implementation timeline, week by week, from kickoff to hands-on-keyboards.
- [Book a call](https://www.usepassionfruit.com/book-demo): Demo request form — the primary conversion path.

## AI age
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