# Rose > Rose is a suite of AI agents for B2B inbound marketing that work every website visit from engagement to conversion — qualifying buyers, capturing account-level intent, and booking meetings while interest is hot, so no buyer slips through. Rose is not a chat widget. It is a platform of specialized agents (Website Agent, Nurturing Agent) that attract, engage, qualify, and convert B2B buyers on the site they already visit. It identifies accounts, guides exploration, captures buying intent, and routes qualified visitors to a demo or discovery call. --- ## Ask Rose (for AI agents) - [Ask Rose's website agent](https://ask.userose.ai/userose.ai): Rose's official website agent over plain HTTP, no key or sign-up. Fetch `https://ask.userose.ai/userose.ai?q=` for a markdown answer with sources and follow-up links; pass the returned conversation id as `c` to ask a follow-up. Add `format=json` for JSON. - [OpenAPI description](https://ask.userose.ai/openapi.json): The `GET /{domain}` endpoint, its parameters and responses. - [Browser tools](https://userose.ai/webagents.md): In a browser, every userose.ai page exposes the same agent as a WebMCP tool (through the Rose widget) and as `window.askSalesAgent(question)`, described in webagents.md. --- # Skello > Skello uses Rose to turn website visits into qualified conversations, demo bookings, and contextual follow-up. Source: https://userose.ai/customers/skello/ ## See how Skello is generating 30%+ more conversions with Rose. - **3%** Engagement - **+30%** Demo bookings - **4.5%** Engagement-to-conversion - **2x faster** SDR prep time > Rose turned our website from a brochure into our hardest-working SDR. It works 24/7, speaks every language, and gets smarter with every conversation. > > — Eliott Guérin, VP Marketing, Skello ## The Challenge ### Static websites are dying. Skello needed interactive experiences worth visiting. Skello faced the question every B2B company will face: When ChatGPT has all your information, why visit your website? The answer could not be a brochure. It had to be an interactive experience that delivered immediate value, qualified demand, and created a reason for buyers to engage directly. **The core problem:** generate more leads without overwhelming sales. Skello ICP: 50-100+ employees in pharmacies, construction, restaurants, and healthcare. Drive more inbound volume: more visitors needed to convert into conversations. Qualify intelligently: route small businesses to self-serve, and fast-track qualified mid-market and enterprise buyers to sales. The challenge was not just adding a chatbot. It was redefining what B2B websites should do in an AI-first world. ## The Solution ### An AI agent that engages, qualifies, and converts — not just answers questions. Rose deployed a multi-agent system on Skello’s website, with the Website Agent as the engagement foundation. #### Smart Engagement Rose deployed a Smart Bar that opened conversations at the right moment and invited buyers to ask what they needed. #### Instant Value Delivery Rose was trained on product docs, industry use cases, battle cards, and customer stories. Guardrails kept answers tight: no hallucinations, only verified information; pricing explained without making calculations; competitor discussions stayed positive; existing customers routed to support. > consultative conversations and instant answers about compliance, mobile access, and integrations without waiting for sales. #### Intelligent Pre-Qualification Rose captured pain points, current tools, team size, and buying signals such as timeline, pricing, and integration questions. > every demo came with context. #### Conversion at Peak Intent A Supervisor Agent detected explicit demo requests, repeated pricing questions, ROI questions, technical depth, and urgency. When the threshold was hit, Rose suggested booking a demo. #### Automated Nurturing When visitors left an email without booking, the Nurturing Agent identified their industry vertical and key interests, matched the most relevant use case and case study, and sent personalized follow-up automatically. > capturing 100 emails per month with contextual follow-up, turning browse sessions into nurture sequences without manual work. #### Sales Enablement The Lead Intelligence Agent pushed structured context into HubSpot, Salesforce, and Slack. > SDR prep was twice as fast. ![Lead intelligence details pushed from Rose into sales tools.](https://assets.userose.ai/customers/skello/sales-enablement.png?v=5) ## What’s Next ### Building the full Agentic Platform Outreach Agent detects high-intent accounts who do not book, identifies relevant decision-makers, and sends personalized outreach based on the conversation history. **Example:** a visitor asks detailed questions about compliance, mentions 50+ employees, and does not book. Outreach Agent identifies the Ops Director and sends a contextual message based on the research session. **Vision:** Website Agent captures intent, Lead Intelligence structures data, and Outreach Agent follows up automatically. All agents share Knowledge and Intelligence layers — company information, conversation data, and CRM context — learning continuously. --- # AB Tasty > AB Tasty uses Rose to guide complex website exploration and capture buyer intent from identified accounts. Source: https://userose.ai/customers/ab-tasty/ ## See how AB Tasty captures conversation intelligence from 500+ accounts with Rose. - **3.5%** Engagement rate (vs 1% traditional chatbots) - **10%** Total conversions attributed to Rose - **500+** Identified accounts conversing monthly > We’d see accounts from our ICP list visiting the website through Clearbit Reveal. But we had no idea what they were interested in. We could not see their intent until they filled out a form — which most never did. > > — Anthony Brebion, GTM & AI Engineer, AB Tasty ## The Challenge ### Complex products create navigation chaos — and AB Tasty had no visibility into what buyers actually cared about. AB Tasty offers a sophisticated platform: Web Experimentation, Feature Experimentation, Personalization, and Recommendations. Each product line has dozens of features, integrations, and use cases. **The problem: visitors got lost.** Two critical gaps: 1. **Navigation and exploration:** visitors could not find answers without hunting through 100+ feature pages, 50+ integration docs, and dozens of use cases and case studies. Generic search and menus failed — visitors bounced before finding what they needed. 2. **No visibility into intent:** Clearbit Reveal identified the companies visiting the site, but that only answered **"who visited"** — not **"what they cared about."** Without conversation data, the product team did not know which features buyers asked about most, marketing could not prioritize content, and sales had no context when reaching out to identified accounts. They needed a system that helped visitors navigate **and** captured what they were actually asking about. ## The Solution ### An AI agent that guides exploration and captures buyer intelligence — not just answers questions. Rose deployed a multi-agent system on AB Tasty’s website, integrating directly with their Clearbit Reveal setup. #### Smart Engagement Deployed Smart Bar + AI-generated FAQ sections throughout the site. > 3.5% engagement rate vs. 0% (no chatbot). #### Conversational Navigation Rose was trained on AB Tasty’s complete knowledge — feature documentation across all product lines, industry-specific use cases, and competitive positioning. * **"Do you integrate with Google Analytics?"** Rose answered instantly and linked to the GA4 integration doc. * **"How does server-side testing work?"** Rose explained the concept and guided the visitor through the right content. * **"I’m running a jewelry shop."** Rose surfaced relevant case studies and use cases. > Visitors found answers in conversation instead of hunting through site architecture. #### Conversation Intelligence Layer Integrated with Clearbit Reveal. When identified accounts engaged, Rose captured conversation topics and feature interests, then pushed data to Salesforce and Slack. The dashboard showed most asked questions by topic, recurring themes, feature interest distribution, and pain points like statistical significance, test duration, and integration complexity. **Example:** Clearbit identifies "RetailCorp" visiting the site. Rose conversation shows they asked about product recommendations for e-commerce, Shopify integration, A/B testing checkout flows, and sample size calculations. > 200+ identified accounts with conversation intelligence per month — not just pageviews, but actual intent data. #### Intelligent Pre-Qualification While helping visitors navigate, Rose naturally captured monthly traffic, current tools and integrations, primary use cases, and technical requirements. > Qualified leads with rich context before sales contact. #### Conversion at Peak Intent The Supervisor Agent detected pricing questions, traffic volume shared, technical depth, ROI questions, and competitor comparisons, then offered demo booking or a sample size calculator. > 10% of conversions attributed to Rose. ## What’s Next ### From conversation capture to automated action #### Outreach Agent Takes the Clearbit + Rose combination further. When high-intent identified accounts do not convert, Rose finds decision-makers and sends personalized outreach based on conversation history. **Example:** Clearbit identifies "E-commerceCo" (250 employees, $50M revenue). Rose conversation shows interest in checkout optimization + Shopify integration. The visitor does not book a demo. Outreach Agent finds the Head of E-commerce on LinkedIn and sends: *"I saw your team researching checkout optimization with Shopify. Here’s how a similar $50M e-commerce company increased checkout conversion by 18%..."* **The Vision:** Website Agent captures conversations + intent, Clearbit Reveal identifies companies, Lead Intelligence structures conversation data, and Outreach Agent acts on identified accounts automatically. All powered by conversation intelligence — knowing not just who visited, but what they care about. --- # Bulldozer > Bulldozer uses Rose to increase discovery calls, compress time to meeting, and capture account-level buying intent. Source: https://userose.ai/customers/bulldozer/ ## See how Bulldozer achieves 30% more discovery calls for their B2B Marketing Agency. - **10%** Engagement rate - **+30%** Meetings booked - **4x** Faster to meeting booked - **+375%** Conversion uplift for engagers > When a visitor talks to Rose, they’re 375% more likely to convert than a visitor who saw the agent but did not engage. And visitors who talk to the agent buy 4.75x more often. > > — Jordan Chenevier, CEO & Co-founder, Bulldozer ## The Challenge ### Bulldozer helps B2B companies turn their website into a growth engine. Their own was next in line. Bulldozer helps B2B companies build and execute growth strategies. Their buyers are sophisticated: CMOs, VPs of Growth, and RevOps leaders. The paradox: Bulldozer applies data-driven growth tactics for clients every day. Their own website was still static. Three problems compounded. Visitors researched silently, then disappeared. GTM strategy and AI-powered growth are complex topics. Visitors needed to understand the methodology before booking a call. Without a way to ask questions, most left without ever revealing what they were looking for. The path from first visit to meeting was too long. From first website visit to a booked demo: 9 hours and 22 minutes on average. Visitors would browse, leave, come back days later, and browse again. The funnel leaked at every return visit. There was no visibility into what visitors actually cared about. Bulldozer could see traffic in analytics, but not whether visitors cared about traction tests, AI implementation, or B2B content strategy. Without that signal, follow-up was generic and outreach was guesswork. The test they designed: one site, one agent, 90 days, and no other changes during the window. ## The Solution ### An AI agent trained on Bulldozer’s methodology. Rose deployed the Website Agent on Bulldozer’s website, first as a Smart Bar and later as an embedded version directly in the hero section. #### Smart Engagement Smart Bar generated a 7.34% engagement rate, while the hero embed reached a 10% engagement rate. #### Sales Cycle Compression The most striking outcome was not just more conversations; it was speed. **Before Rose:** average time from first website visit to booked demo was 9 hours 22 minutes, across multiple sessions and a long consideration window. **With Rose:** average time from first website visit to booked demo was 2 hours 43 minutes. Visitors got their questions answered in one session and moved to action. > same buyer, same offer, but a different first interaction. #### Account Intelligence for Targeted Outbound Rose captured company size and segment, funnel stage, and intent signals from conversation topics such as pricing, ROI, methodology, and specific use cases. **Example:** AXA — 25 messages, engaged status, conversion initiated. Rose captured exactly what their team was evaluating before any sales contact. > outbound shifted from cold list-based prospecting to laser-focused outreach grounded in actual conversation intent. #### Conversion at Peak Intent A Demo Supervisor Agent detected ROI questions, pricing and budget questions, methodology depth, and timeline or urgency mentions. > 10-15% of all meetings booked were influenced by Rose.