> For the complete documentation index, see [llms.txt](https://docs.solarvis.co/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.solarvis.co/solarvis-modules.md).

# SolarVis Modules

- [Solar Lead Generation](https://docs.solarvis.co/solarvis-modules/solar-lead-generation.md): Solar Lead Generation is a fully configurable, customer-facing pre-feasibility and lead capture module designed to run directly on the sub-domain or Iframe on the website.
- [General Settings](https://docs.solarvis.co/solarvis-modules/solar-lead-generation/general-settings.md): Configure and manage all core settings of Solar Lead Generation from deployment to branding, localization, legal content, and connected to tracking.
- [Cost Configuration](https://docs.solarvis.co/solarvis-modules/solar-lead-generation/cost-configuration.md): Configure default cost items, pricing logic, and financial assumptions used in Solar Lead Generation feasibility calculations.
- [Regulations](https://docs.solarvis.co/solarvis-modules/solar-lead-generation/regulations.md): Configure which regulations are available in Solar Lead Generation and control how feasibility logic is applied based on countries.
- [Cost Configuration Test](https://docs.solarvis.co/solarvis-modules/solar-lead-generation/cost-configuration-test.md): Test Solar Lead Generation's cost configuration by simulating different system sizes, DC/AC ratios, and optional battery scenarios before publishing it to end users.
- [Solar Lead Generation End-User Journey](https://docs.solarvis.co/solarvis-modules/solar-lead-generation/solar-lead-generation-end-user-journey.md): This document explains the end-user flow of Solar Lead Generation, from landing page to feasibility results. It shows how user inputs turn into structured, sales-ready data.
- [AI Sales Assistant](https://docs.solarvis.co/solarvis-modules/ai-sales-assistant.md): AI Sales Assistant is a customizable assistant that answers visitor questions, qualifies potential customers, collects project information through the company's solar sales process.
- [General Settings](https://docs.solarvis.co/solarvis-modules/ai-sales-assistant/general-settings.md): The General Settings page defines the core configuration of AI Sales Assistant, including deployment, localization, communication, and proposal settings that shape the overall visitor experience.
- [Cost Configuration](https://docs.solarvis.co/solarvis-modules/ai-sales-assistant/cost-configuration.md): The Cost Configuration page defines the material prices and financial rules used by the AI Sales Assistant when calculating estimated system costs and preparing customer proposals.
- [Regulations](https://docs.solarvis.co/solarvis-modules/ai-sales-assistant/regulations.md): The Regulations page controls which tariff regulations the AI Sales Assistant can use during feasibility analysis.
- [Cost Configuration Test](https://docs.solarvis.co/solarvis-modules/ai-sales-assistant/cost-configuration-test.md): The page allows you to simulate different project scenarios and verify how the AI Sales Assistant applies your configured pricing rules before they are used in customer conversations.
- [Training](https://docs.solarvis.co/solarvis-modules/ai-sales-assistant/training.md): The page allows you to build, manage, and maintain the knowledge base used by the AI Sales Assistant.
- [Greeting](https://docs.solarvis.co/solarvis-modules/ai-sales-assistant/greeting.md): The Greeting page allows you to configure how the AI Sales Assistant starts conversations with website visitors across all active languages.
- [Theme](https://docs.solarvis.co/solarvis-modules/ai-sales-assistant/theme.md): The Theme page lets you customize the visual appearance of the AI Sales Assistant to match your company's brand identity.
- [AI Sales Assistant End-User Journey](https://docs.solarvis.co/solarvis-modules/ai-sales-assistant/ai-sales-assistant-end-user-journey.md): This page explains how website visitors interact with the AI Sales Assistant, from their first message through project qualification, package selection, feasibility analysis, and proposal generation.


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