Frequently Asked Questions

Rose is an AI platform that turns B2B websites into conversational marketing and sales experiences. It engages visitors 24/7, answers product questions, qualifies intent, captures leads, and helps drive demos and conversions. Rose works through multiple entry points, not just a chat widget. Those entry points include a Smart Bar, AI sections, and embedded questions. Behind the experience, multiple agents share context across the buyer journey so interactions stay connected as visitors move through the site. This makes Rose a website layer for marketing and sales teams that want to convert more traffic into qualified opportunities, rather than a simple chatbot overlay.

Rose allows visitors to book a demo with a Sales expert using the button below. This is the direct way to arrange a product demonstration and speak with a member of the sales team. The demo booking option is available from the page where Rose presents the booking button, making it straightforward for prospective customers to request a guided walkthrough of the product.

Rose differs from traditional chatbots by using multiple entry points, including Smart Bar, AI sections, and embedded questions, rather than relying on a single chat widget. This approach drives 5% to 6% engagement, compared with around 1% for traditional chatbots. Rose also emphasizes natural, helpful conversations without forced flows or mandatory email capture. Behind the experience, multiple Rose agents share intelligence across the buyer journey, not just on the website chat layer.

Rose works with 20 clients across several industries. Its customer base includes AB Tasty, Orb, Serval, Crossbeam, Pennylane, Skello, and lemlist. These clients span SaaS, finance, marketing agencies, education, and professional services. Rose also says prospective customers can speak with a sales expert for customer references and to assess fit for their use case. This indicates Rose serves a mixed portfolio rather than a single vertical. The named examples show usage by well-known companies in software and adjacent business services, while the industry mix suggests the product is positioned for a broad range of operational needs. For buyers evaluating Rose, customer references are available through sales, which can help confirm relevance for a specific team, workflow, or company size.

Rose does not offer a self-serve free trial. Because Rose is set up and trained for each company, the evaluation step is usually a personalized Loom preview of Rose running on the company’s website. This gives prospects a concrete view of the experience before committing. The preview is meant to show how Rose would work in a real deployment, rather than through a generic trial account.

Rose implementation takes 7 days from kickoff to go-live. Your team usually spends only 2 x 15 minutes: one session to share docs and one to test the agent. The process includes knowledge setup, agent training, testing and refinement, and deployment with a simple script tag. This makes the internal effort light while Rose handles the setup and launch steps. For planning a specific team rollout, the internal time needed can vary depending on your documentation and testing needs.

Yes. Rose integrates natively with HubSpot and can connect to other CRMs like Salesforce or Pipedrive via webhook. It can automatically create or update contacts and send transcripts, pain points, intent signals, and qualification data into the CRM. Rose also supports custom field mapping through webhook, which lets teams tailor how conversation data is stored in their CRM. For accounts that need a specific setup, Rose can show how the integration would work during a demo.

Rose does not offer a public free plan. Instead, Rose includes a testing phase before launch so teams can try conversations internally, review responses, and refine the setup before it goes live. Onboarding is included, and most setups go live in about 7 days. This approach lets teams validate the experience before launch without a publicly available free tier.

Rose appears to use a placeholder or system token for the post-conversion welcome message. The message indicates that Rose can help with questions about its features, integrations, or use cases. This suggests the entry is not a customer-facing welcome message and may be an internal placeholder instead. The source text does not provide any additional post-conversion copy, workflow details, or configuration instructions. It only clarifies that the token-like message is likely a placeholder or system token and redirects attention to Rose topics such as features, integrations, and use cases. Because the content is incomplete, the safest interpretation is that there is no published welcome message available in the provided source.

Rose is built for B2B marketing and sales, while Intercom is mainly built for customer support. Rose uses multiple entry points, such as the Smart Bar, AI sections, and embedded questions, to guide visitors proactively toward lead qualification and conversion. It also shares intelligence across agents to support follow-up, outreach, and sales prep. Intercom’s main entry point is chat, and its core use case is support rather than marketing-led conversion. That makes Rose more suited to proactive demand generation and sales workflows, while Intercom is centered on reactive customer support conversations.

Rose asks for your email address to capture the lead and continue the conversation beyond the website. The email helps Rose follow up, book a demo or hand the conversation off to the team, and connect your chat history to one contact. Rose can also use the email for privacy-related requests, including finding or deleting your data. In most cases, a company email is the best choice because it preserves team continuity and provides more context for follow-up. This makes it easier for Rose to keep the conversation organized and route it to the right people when needed.

Rose plans start at €800 per month for companies with moderate traffic volume. Final pricing is adjusted based on monthly traffic, so Rose does not publish a public pricing grid. All plans include stable, predictable pricing, access to all Agents, Agent setup and training, dedicated onboarding and support, and regular optimization sessions. Pricing varies by deployment because each setup depends on traffic levels and use cases. This makes Rose's pricing customized rather than fixed, with the entry point set at €800/month and higher tiers determined by expected usage.

Rose implementation typically takes 7 days from kickoff to go-live. The website setup itself is very light and usually takes under 10 minutes using a simple JavaScript tag or Google Tag Manager. Your team typically spends two 15-minute sessions total: one to share documentation and one to test before launch. This makes the rollout fast for most teams while still allowing a brief validation step before going live.

Rose typically delivers up to a 6% engagement rate, around 20% conversion uplift, about 10% of total conversions attributed to Rose, and 2x faster time to conversion. Actual ROI depends on traffic, sales cycle, and the current conversion baseline. In practice, Rose often outperforms traditional chatbots, which see roughly a 1% engagement rate. The cited outcomes are typical results, not guarantees, because performance varies by audience quality, funnel length, and starting conversion rates. A related case study shows Skello generating 30%+ more conversions with Rose, which provides a concrete example of these gains in a real deployment.

Rose works with 20 clients across multiple industries, including finance, SaaS, marketing agencies, education, and professional services. If your industry is similar to one of these, Rose may be a fit. Rose’s current client base spans several sectors rather than a single niche. The company specifically names finance, SaaS, marketing agencies, education, and professional services as examples of industries it serves. Because Rose works across multiple industries, fit depends on the specific needs and profile of the company asking. If you share your industry, Rose can indicate whether it matches the kinds of companies it already works with.

Yes. Rose integrates with CRMs through a native HubSpot integration, a Salesforce webhook, and webhook connections for other CRM systems. Rose can also push conversation transcripts, qualification data, and intent signals, and it can create or update contacts when a visitor shares an email address or books a demo. This makes it useful for capturing and routing lead data into an existing CRM workflow. HubSpot is supported natively, while Salesforce works via webhook today. For other CRM platforms, Rose supports webhook-based connections rather than a native integration. The system is designed to move sales-ready context into the CRM automatically, helping teams keep contact records current and preserve the details from chat interactions. If a company needs a more specific setup for its CRM stack, Rose’s sales team can provide guidance.

Rose does not publish a fixed public cap for the number of leads it can nurture. Its Nurturing Agent can follow up by email with personalized sequences based on each conversation, and email capture is often targeted at around 100 emails per month to make those sequences effective. Rose can nurture the leads it captures through tailored email follow-up that reflects how each prospect engaged. While the company does not state a hard limit, the 100-emails-per-month target suggests the system is designed to support a steady volume of qualified leads rather than an unlimited amount. For a more precise estimate of likely lead volume based on your traffic, Rose directs visitors to connect with a sales expert.

Rose uses its Outreach Agent to identify the company behind a conversation, then finds the relevant contacts at that account and prepares personalized outreach. The process is based on conversation data plus account identification, so the outreach reflects real buying signals instead of a generic prospect list. This helps Rose target the people most likely to matter in that specific account. The Outreach Agent is designed to turn intent from a live conversation into actionable prospecting. By linking what a visitor asked about with the account behind the interaction, Rose can determine who should be contacted and tailor the message accordingly. That makes the outreach more relevant than standard lead lists, because it is grounded in context from the actual conversation and the identified company.

Yes. Rose currently has two public case studies available: Skello and AB Tasty. The Skello case study shows how Rose helped generate 30%+ more conversions, while the AB Tasty case study shows how Rose captured conversation intelligence across 500+ accounts. These examples demonstrate Rose’s impact on conversion growth and account-level intelligence in real customer deployments. The Skello case study is available on Rose’s website and is titled “How Skello generates 30%+ more conversions with Rose.” The AB Tasty case study highlights how Rose was used to capture conversation intelligence at scale across more than 500 accounts. Together, these case studies provide evidence of Rose’s value in both performance improvement and sales/marketing insight. Rose’s customer stories can help prospects evaluate the product using concrete results rather than general claims.

Rose’s plans start at €800 per month for companies with moderate traffic volume. Pricing is then adjusted based on monthly traffic, and Rose does not publish a public pricing grid because deployment depends on traffic and use case. All plans include stable, predictable pricing, access to all Agents, agent setup and training, dedicated onboarding and support, and regular optimization sessions.

Yes. Rose automatically pushes conversation data to your CRM and can create or update contacts. It supports HubSpot natively, and connects to Salesforce and other CRMs via webhook. Rose can send transcripts, intent signals, qualification data, pain points, and notes into your CRM records. This allows teams to keep sales and support systems updated without manual data entry. HubSpot is the only named native integration, while Salesforce and other CRMs are handled through webhook-based connections.

Rose can appear on a website in several ways, depending on the experience a business wants to create. It can show up as a Smart Bar, AI sections, embedded questions, or Dynamic CTAs that adapt to visitor intent. Rose can also run alongside tools like Intercom. The Smart Bar is a non-intrusive conversational entry point, while AI sections are embedded FAQ-style blocks placed on pages. Embedded questions appear as contextual prompts inside page sections, and Dynamic CTAs adjust calls-to-action based on what the visitor is doing. These formats let Rose blend into existing site layouts rather than forcing a single interface style. A sales expert can also show concrete website examples using the button below.

ChatGPT is a general-purpose AI language model that understands natural language questions and generates responses based on patterns in data. People commonly use it to research topics, summarize information, and get quick answers. In contrast, Rose is built specifically for B2B sales workflows such as lead capture, demo booking, and sharing sales intelligence. ChatGPT is not specialized for those sales-focused tasks. Instead, it is designed for broad conversational and information tasks across many use cases.

Rose agents share a common intelligence layer built from website conversations, CRM data, and behavior signals. That shared layer lets one agent use what another has already learned, so context carries across the entire customer journey. The system can reuse visitor questions and themes, company identification, intent score, pages viewed, engagement signals, CRM stage, and past interactions. This means a website conversation can directly inform follow-up emails, outreach, and the sales handoff. In practice, Rose keeps agents aligned so the experience feels continuous instead of starting over each time a new agent engages.

Rose’s plans start at €800 per month for companies with moderate traffic volume, and all plans include the same core services. That includes stable, predictable pricing, access to all Agents, Agent setup and training, dedicated onboarding and support, and regular optimization sessions. Pricing then adjusts based on monthly traffic, and Rose does not publish a public pricing grid. The €800/month starting point is therefore a baseline for moderate traffic accounts, not a fixed all-in package for every customer. Companies with different traffic levels may be quoted differently based on their usage needs.

Yes. Rose automatically scores lead quality using conversation signals and engagement data. It helps sales teams identify higher-intent leads faster and gives them better context before outreach or discovery calls. Rose extracts company size, use case, pain points, objections, budget signals, and timeline from conversations. Those signals are then used to prioritize leads based on intent and readiness. This makes it easier for sales teams to focus on the most promising opportunities and prepare more effectively for follow-up.

Rose works through multiple AI agents that share context across the buyer journey. Its Website Agent answers questions, captures leads, and drives demos or signups, while other agents continue the conversation through follow-up, outbound, and sales handoff. Rose uses your website, internal docs, and guardrails to keep responses accurate and on-brand. The Nurturing Agent follows up by email using the context from earlier conversations. The Outreach Agent identifies target accounts and personalizes outbound messaging. The Handoff Agent prepares sales with pain points, objections, and intent signals so the team can step in with full context. This multi-agent structure helps Rose maintain continuity from first website visit through lead capture, nurture, outreach, and sales readiness.

Yes. Rose allows visitors to book a demo with a Sales expert using the button below. This is the available path shown for starting a demo conversation with Rose. The chatbot’s response specifically directs users to book through the demo button and notes that the demo is handled by a Sales expert. No additional booking steps, eligibility requirements, or self-serve scheduling details are provided in the source answer. For anyone evaluating Rose, the confirmed option is to use the demo button to connect with sales.

Yes. Rose has a native HubSpot integration that can push conversations into the matching contact record. It can send transcripts, pain points, intent signals, and qualification data into HubSpot automatically. Rose can also create new contacts or update existing ones with the latest conversation context. This integration is designed to keep CRM records current without manual copying and pasting. When a conversation maps to an existing contact, Rose updates that contact with relevant details from the chat. If no matching contact exists, Rose can create a new one and attach the conversation data. That makes it easier for sales and marketing teams to use AI chat insights inside HubSpot for follow-up, qualification, and pipeline management.

Rose is built for B2B marketing and sales, while Intercom is mainly built for customer support and reactive chat. Rose focuses on natural conversations that help visitors, with multiple entry points, lead qualification, intent scoring, demo booking, email capture, and sales insights. Unlike a single chat widget approach, Rose can engage visitors through multiple entry points across the site. It is designed to support marketing and sales workflows rather than only handling support conversations. Rose can also run alongside Intercom on the same site, allowing a company to use Intercom for support while using Rose for B2B demand generation and sales qualification.

Rose’s plans start at €800 per month for companies with moderate traffic volume. Pricing is then adjusted based on monthly traffic, and Rose does not publish a public pricing grid because each deployment depends on traffic and use cases. All plans include stable, predictable pricing, access to all Agents, agent setup and training, dedicated onboarding and support, and regular optimization sessions. This makes pricing tailored to the customer’s volume and deployment needs rather than fixed package tiers.

Rose is an AI platform for B2B websites that turns a static site into a conversational sales and marketing experience. It answers visitor questions, captures leads, and drives demos or signups 24/7. Rose works through multiple AI agents that share context across the buyer journey, from website conversations to follow-up and sales handoff. This structure helps maintain continuity as visitors move from initial research to lead capture and sales engagement. By combining real-time website interaction with follow-through processes, Rose is designed to support both marketing and sales outcomes on B2B sites.

Rose handles partnership inquiries through the email address contact@userose.ai. That is the direct contact point provided for partnership discussions. For partnership-related requests, Rose asks interested parties to visit or write to contact@userose.ai. No additional partnership process, form, or timeline is provided in the source response.

Rose recommends using a work email tied to your company domain. Examples include name@yourcompany.com, sales@yourcompany.com, and marketing@yourcompany.com. This helps Rose attach conversations to the right contact and company context. Using a company-domain email also improves CRM sync and follow-up accuracy. Rose uses that email to associate conversations with the correct company record, which can make downstream routing and context matching more reliable. A personal email is not the recommended choice when the goal is to keep business conversations organized under the right organization.

Rose’s dashboard shows intent score distribution across visitors, grouped into high, medium, and low intent. It also uses intent scoring to help evaluate lead quality and supports account-level views that aggregate intent across visitors from the same company. This gives teams both visitor-level and company-level visibility into engagement strength. The intent analytics are designed to help identify which visitors are showing stronger buying signals and how those signals vary across an account. By combining distribution views with aggregate account-level intent, Rose helps users compare lead quality and understand patterns across multiple visitors from the same organization. The dashboard’s intent scoring is therefore useful for prioritizing follow-up and assessing overall account interest, not just individual page activity.

Rose can send a personalized preview by email. The only information needed is the email address to send it to. This makes the preview delivery straightforward and tied to the recipient’s inbox. In this exchange, Rose’s response focuses on one action: confirming the destination email address before sending the preview. No additional requirements, pricing, or setup steps are mentioned. If a visitor wants a personalized preview from Rose, the next step is simply to provide the email address where it should be delivered.

Rose is not a fit for recipe websites or consumer cooking guidance. It is built for B2B marketing and sales websites, especially products or services that need explanation, and works best for lead qualification, product questions, and conversion flows on complex B2B sites. For a site about frying chicken or similar consumer cooking content, Rose would not be the right match. Its strongest use cases are businesses that need to explain offerings and move visitors toward qualification or conversion, rather than providing general recipe help.

Rose includes standard setup in the monthly price. A separate setup fee may apply only for custom integrations or advanced customization. Consultant-led implementation is usually discussed during scoping, based on what needs to be built. This means most customers do not pay an additional setup charge for a standard onboarding process. If the project requires custom integrations, deeper technical work, or advanced tailoring, Rose may add a one-time setup fee. For consultant-led implementations, the exact scope and related fees are typically determined during the scoping phase, after Rose reviews the build requirements and implementation complexity.

Rose’s 7-day go-live includes four stages: knowledge gathering, agent training, testing, and deployment. The process is designed to be fast, with the team usually spending just 2 x 15 minutes. In the knowledge gathering stage, Rose reviews the website, docs, FAQs, and sales materials. Agent training covers tone, guardrails, goals, and multilingual setup. Testing checks response quality, intent scoring, and CRM and conversion flows. Deployment is the final step and includes adding a lightweight JavaScript tag, verifying tracking, and going live. Rose also notes that a personalized demo can show the full onboarding flow.

Yes, Rose’s dashboard provides account context and conversation history to help sales teams prioritize outreach. For decision-maker profiles specifically, Rose’s Outreach Agent identifies decision-makers within target accounts and uses that information for personalized outreach. The exact profile view in the dashboard depends on each setup, so Rose says it is best shown in a demo. This means the platform is not just surfacing names; it is organizing account-level context that helps teams focus on the right people and tailor messaging. Because the dashboard experience can vary based on configuration, the most accurate way to see the decision-maker profile view is through a product demo.

Rose commonly asks three core questions based on visitor intent: what the visitor is trying to solve, when they plan to implement, and how the opportunity will be evaluated internally. It can also gather company size, pain points, and budget signals to qualify leads naturally. These questions are designed to adapt to the visitor’s context, whether they are a buyer on the site or someone evaluating Rose itself. The use case question identifies the problem or goal, the timeline question clarifies implementation urgency, and the decision-process question reveals how the purchase will be reviewed inside the organization. Additional signals such as company size and budget help Rose route and qualify leads without making the conversation feel scripted.

Rose uses monthly website traffic to assess fit and set pricing. A minimum viable fit is typically 2,000+ visitors per month, while 10,000+ visitors per month is where performance is usually strongest. Pricing is based on monthly unique visitors, and tier changes are applied at renewal rather than mid-contract. This means traffic volume is both a qualification factor and a pricing input for Rose. Higher traffic tiers may better align with stronger results, but the company evaluates each account against these thresholds before confirming fit and pricing.

Rose uses retrieval as part of how it answers, but it is broader than a basic RAG system. It combines knowledge retrieval with conversation memory, intent scoring, qualification, and conversion flows such as email capture or demo routing. The closest description is that Rose is an AI website agent with retrieval plus sales workflow logic. That means it does not only fetch relevant information; it also uses the surrounding conversation to guide responses and move visitors toward outcomes. Rose’s workflow can include capturing email addresses or routing qualified visitors to a demo. A personalized demo is available to see how this works in practice.

Rose runs through a lightweight JavaScript tag on a website. Its knowledge layer combines website content, internal docs, custom FAQs and guardrails, and internet sources for added context. Rose also uses GCP Belgium and Azure France Central, with TLS 1.2+ in transit and AES-256 at rest. In practical terms, the setup is designed to be simple to deploy while still drawing from multiple knowledge sources. Website content and internal documents such as Notion, Drive, and product docs can be part of the system, along with curated FAQs and guardrails to shape responses. Rose’s infrastructure and security posture includes hosting in Belgium and France Central regions, encrypted transport with TLS 1.2 or higher, and AES-256 encryption for stored data.

Rose needs a small set of inputs to get started: website content, internal docs, custom sources, guardrails, and business goals. Most teams spend just 2 x 15 minutes sharing this information and reviewing the agent before launch. For website content, Rose can use core pages, case studies, blog posts, and API docs. For internal knowledge, it can ingest product docs, FAQs, sales materials, and playbooks. It also supports custom sources such as Notion, Google Drive, and PDFs. To keep the agent aligned, Rose needs guardrails covering pricing rules, competitor positioning, and confidential boundaries. Finally, Rose asks for goals such as the target audience, use cases, conversion goals, and KPIs so the setup reflects the company’s priorities and success metrics.

Rose’s plans start at €800 per month for companies with moderate traffic volume, and the price stays stable during the commitment period even if traffic increases within the tier. Tier changes are handled at contract renewal rather than through mid-contract price jumps. Rose offers monthly and annual contract options with different commitments. The monthly option requires a 3-month minimum and 30 days’ notice to cancel. The annual option is a full-term commitment and includes a 20% discount. This structure means customers know their price upfront for the duration of the contract, with changes applied only when the contract renews. Rose’s pricing is designed to avoid surprise increases during the active term while still allowing adjustments if usage grows beyond the current tier at renewal.

Yes, Rose can work with 2,000 to 3,000 monthly visitors. Rose’s minimum fit starts at 2,000 monthly visitors, so that traffic range is within its deployment range. Performance is usually stronger above 10,000 monthly visitors because conversation volume is higher. At 2,000 to 3,000 monthly visitors, Rose can still be a viable option, but the expected results may be more limited than at higher traffic levels. Rose also offers a personalized demo to show what results to expect at a specific traffic level.

No. Rose is a full platform, not just a wrapper around Claude or OpenAI. It combines LLMs with product logic such as a website agent, intent scoring, qualification, analytics, and conversion flows. Rose also layers in knowledge sources, guardrails, memory, CRM enrichment, and multi-agent coordination across the buyer journey. Claude or OpenAI can be part of Rose’s answer layer, but they are only one component of the system. The platform is designed to handle the broader sales and conversion workflow around the model output, including how visitors are qualified, how data is enriched in the CRM, and how agents coordinate at different stages of the journey. That makes Rose a complete operating layer for website engagement rather than a simple AI wrapper.

Yes. Rose can use LLMs like Claude or OpenAI in its answer layer, but the model is only one part of the system. Rose differentiates itself through the surrounding product layer, including knowledge sources and retrieval, guardrails and brand rules, intent scoring and qualification logic, memory, and multi-agent coordination. That means the AI model powers the response, while Rose adds the workflow and control layer around it. Rose’s approach is designed to make answers more reliable and business-aware than a raw model alone. Its knowledge sources and retrieval help ground responses in the right information, while guardrails and brand rules shape how the assistant responds. Intent scoring and qualification logic help determine what the visitor is trying to do, and memory plus multi-agent coordination support more personalized, connected interactions across conversations. In short, Claude or OpenAI may sit in the answer layer, but Rose’s product is defined by the system around the model.

Rose’s core product is the Website Agent. It is the AI agent that goes live on a website to answer visitor questions, guide conversations, capture leads, and drive conversions such as demo bookings or signups. The Website Agent also serves as the foundation of the broader Rose platform because the conversation data it collects powers other agents across the buyer journey. This makes it the central experience for engaging visitors and turning website traffic into measurable revenue actions.

Rose is usually a good fit for B2B websites with a product or service that needs explanation and at least 2,000 monthly visitors. It is especially effective for teams focused on demos, signups, or lead capture. Rose works best in SaaS, professional services, and other complex sales environments where visitors need more context before converting. The platform appears most suitable when the website has enough traffic to support meaningful engagement and when the business benefit comes from guiding prospects toward a next step rather than handling simple transactions. If a business is still early-stage, low-traffic, or does not need explanation-heavy selling, Rose may be less appropriate.

Rose identifies Orb as a client based on its public customer materials, not on guesswork from a conversation. Orb appears in Rose’s documented customer examples alongside AB Tasty, Skello, Pennylane, Crossbeam, and lemlist. This means the reference to Orb comes from verified knowledge sources that Rose has already published. The chatbot’s answer indicates that Orb is part of Rose’s public client list, which is used as evidence when Rose says Orb is a customer. Rose also notes that its personalized demo can show how verified knowledge sources are used in practice.

Rose publicly lists Orb as a client, but it does not currently publish a dedicated Orb case study. The closest published examples are the case studies for Skello and AB Tasty. For a concrete reference, Rose points to its AB Tasty case study, “How AB Tasty captures conversation intelligence from 500+ accounts with Rose.” That example shows how Rose captures conversation intelligence and turns identified accounts into actionable sales insight. The published case study is available on Rose’s customer page and is the best available proof point today if you are looking for results similar to an Orb reference.