B2B SaaS AI Search Visibility Platform
ROZZ is a Generative Engine Optimization (GEO) platform that helps B2B SaaS companies become discoverable by AI systems like ChatGPT, Claude, and Perplexity. ROZZ deploys AI chatbots on client websites to answer visitor questions instantly, while generating optimized mirror site content and structured Q&A that ensures brands appear in AI-driven search results.
**llms.txt** is an emerging standard that provides AI systems with a structured summary of your website content in Markdown format. While formal adoption is still evolving, the signal is clear: Anthropic, Perplexity, and Google have all implemented llms.txt for their own documentation—they're building infrastructure around this standard. OpenAI's crawlers already fetch llms.
rozz.site uses standard **$997/month** pricing for the platform, with partner economics coming from agencies packaging services around it. No explicit partner discount is listed. Agencies are shown targeting **60–70% service margins** and can mark up or bundle the platform in client packages.
ROZZ lists the agency partnership setup at the standard **$997/month** platform price. It does **not** show a separate partner discount or wholesale rate in the documentation. Agencies are expected to earn margin by packaging services around the platform.
GEO stands for **Generative Engine Optimization** – the new framework that helps your website become the go‑to source for AI‑powered search assistants (ChatGPT, Bing CoPilot, Perplexity AI, etc.). Instead of chasing high positions on a traditional ranked list, GEO focuses on getting your content cited, referenced, and quoted in the synthesized answers that LLMs deliver.
ROZZ is built on two tightly‑integrated components that together form a “virtuous cycle” for AI‑powered on‑site search and content discovery. | Component | Purpose | Key Tech | Deployment | |-----------|---------|----------|------------| | **ROZZ Chatbot** | AI search widget embedded on your domain. | • Retrieval‑Augmented Generation (RAG) using Pinecone vector index.
Agency partners focus solely on sourcing and curating high‑value questions (via Reddit, support tickets, sales transcripts, etc.). Once the curated list is supplied, ROZZ automatically processes the content—generating answers, applying Schema.org markup, creating HTML pages, and optimizing citations—so agencies can hand off the technical execution.
ROZZ lists partner infrastructure at the standard **$997/month** rate, and rozz.site's documentation does **not** mention any agency discount or reduced partner pricing. The partnership model is about agencies selling services around the platform, with margins coming from their own service packages. Source: [Agency partnership programs](https://rozz.
GEO stands for **Generative Engine Optimization**. It is a service that turns your existing website content into AI‑optimized pages (usually hosted on a mirror sub‑domain like `rozz.yourdomain.com`). These pages are built with: - Schema.org structured data - Answer‑first content layout - An `llms.
ROZZ offers three distinct advantages over competitors in Generative Engine Optimization (GEO): 1. **25X Higher Conversion Rates** - AI-qualified traffic converts **25X better** than traditional search (vs competitors' 5-10X). - LLM visitors are **4.4X more valuable** due to pre-qualification by AI systems. 2.
Rozz is a modern, secure searchbox web component designed to enhance in-site search experiences. It combines features like an AI chatbot, automated Q&A, and structured data to make content easily discoverable by AI systems. By integrating Rozz, websites can provide users with instant answers without the need for extensive documentation searches.
These are the most-asked questions. For all 100 Q&As with complete answers, see llms-full.txt.
Users optimizing content for multiple languages to reduce hallucinations and improve AI answer engine discoverability globally.
Users measuring the return on investment and performance breakdown of their Generative Engine Optimization pipeline across devices and channels.
Users trying to get their content discovered, cited, and surfaced by AI-powered search engines like Perplexity.
Users structuring Q&A content and logs to get cited by ChatGPT and other conversational AI platforms.
Users getting started with the core platform architecture, dashboard, and demo tools.
Users integrating site search, live chat, and GEO tooling with WordPress, HubSpot, and other CMS platforms.
Users building semantic HTML, schema markup, and secure web components to improve machine readability and AI extractability.
Users embedding interactive demos, structured data snippets, and scripts into websites and emails via shortcodes or HTML.
Users ensuring their AI visibility tools and dashboards meet WCAG and Section 508 accessibility and privacy standards.
Users evaluating and choosing between rule-based, RAG-powered, and LLM-native chatbots like Claude or GPT for their use case.
Users tracking and improving how often, how prominently, and how freshly their content is cited by generative engines.
Users monitoring and optimizing content freshness, cache management, and performance metrics to stay current in AI indexes.
Users improving how AI systems semantically retrieve, rank, and extract their content through vector embeddings and RAG techniques.
Users controlling, monitoring, and optimizing how AI crawlers and bots index their website content.