AI Website Consultant and Brief Generator: How to Turn a Visitor into a Qualified Lead with a Ready-Made Brief

A visitor lands on the website of an IT company or agency. They write in the chat: "How much does it cost to develop a mobile app?" The manager replies 20 minutes later — and starts from scratch: clarifying what the app is, what features are needed, who the audience is, whether there is a design. By the time any context appears, the client has already written to competitors.

Tron Pool Energy develops AI consultants built directly into the website as a chat widget. It answers the visitor's questions about services, conducts a dialogue, asks clarifying questions — and by the time the manager joins the conversation, a structured brief is already formed with a project description, goals, requirements, and a preliminary estimate. The manager enters the negotiations prepared, rather than starting with a basic briefing.

In this article: how an AI consultant on the website differs from an omnichannel support assistant, full functionality, the visitor's journey from the first question to a ready brief, a case study, and FAQ.

The Tron Pool Energy blog explains how an AI assistant for customer support and pre-sales closes up to 80% of standard requests across all channels — Telegram, WhatsApp, helpdesk, website. This is a reactive system: it responds to incoming requests from existing or potential clients. An AI consultant on the website solves a different task.

Companies selling complex IT products, development, or system implementation receive incoming requests in two polar formats: "how much does it cost?" or "I want a CRM/ERP/app". Neither phrasing is a lead yet. This is a request that requires 5–15 clarifying questions before one can even roughly discuss the budget or timeline.

While the manager is doing the initial briefing, they are not selling. With a high influx of requests, this creates a systemic overload:

• Delayed first response — speed matters in B2B as well as in B2C
• Loss of "hot" leads — the visitor goes to a competitor while waiting for a reaction
• Manager wastes time on routine — instead of negotiating, they explain basic features
• Unstructured data — every manager collects a brief in their own way, there is no single format

The visitor asks questions about services, costs, technologies, timelines, project examples — the AI responds based on the company's knowledge base: website pages, service descriptions, cases, commercial proposals, presentations, pricing materials, Google Drive documents. Every answer is accompanied by a link to the source — no "hallucinations".

The AI doesn't just answer — it conducts a structured dialogue, asking clarifying questions in the right sequence: project type, target audience, intended functionality, integrations, budget, timeline. The logic of the questions adapts depending on the answers — like an experienced pre-sales manager.

Based on the results of the dialogue, the system automatically generates a ready project brief: task description, client's goals, key requirements, intended functionality, technical conditions. The brief is passed to the manager along with a notification about a new lead — the manager enters negotiations already having the context.

Using the company's internal data on typical projects and basic parameters, the AI can provide a preliminary estimate — an approximate range of budget and timeline. This is not a final calculation, but it gives the client a reference point and demonstrate

One AI agent can be deployed across several websites of a group of companies. At the same time, each website has a separate knowledge base and separate scenarios. A visitor to a CRM development site gets answers about CRM, a visitor to a GameDev site — about games. A unified infrastructure, but a personalized experience for each product.

8 steps: visitor → manager receives the brief:
1. The visitor opens the chat widget. An open-ended question — "How much does it cost to develop an app?" or "Can you implement an ERP?"
2. The AI analyzes the first message. Determines the intent: consultation, project estimation, or a proposal request.
3. Starts the dialogue. Asks the first clarifying question — about the project type, industry, or functionality.
4. Sequential data collection. Each question adapts to the previous answer. The AI conducts a dialogue, not a questionnaire.
5. Accessing the knowledge base. When answering questions about services, technologies, cases, the AI uses the company's data.
6. Preliminary estimation. Based on the collected data — a budget and timeline range based on typical parameters.
7. Forming the brief. A structured document: project description, goals, requirements, functionality, conditions.
8. Handover to the manager. Notification + ready brief. The manager enters negotiations prepared.

Situation. The company implements ERP systems (1C, SAP) for medium and large businesses. The average deal cycle is 3–6 months, the average check is from $30,000. The website received 200–300 visits per day, of which 15–20 people opened the feedback form. But only 3–4 requests per week contained enough information for an initial assessment — the rest required 2–4 additional calls before the manager understood if the request fit the company at all. A sales team of 5 people spent up to 40% of their time briefing leads who ultimately turned out to be non-target.

What Tron Pool Energy implemented (6 weeks):
1. AI widget on the website: always available, answers instantly to questions about ERP, functionality, and the company's industry expertise.
2. Conversational qualification: AI asks questions about the industry, company size, current accounting system, and problems the client wants to solve.
3. Automatic brief: after 8–12 questions, the system generates a structured document with the client's profile and project requirements.
4. Preliminary estimation: AI provides a budget and timeline range based on the project type (basic implementation / integration / customization).
5. Qualification filter: if a request does not match the profile (too small a company, unrealistic budget), the AI politely redirects them without wasting the manager's time.

The difference between "a visitor wrote" and "a qualified lead with a ready brief" is the difference between starting work and the result of the initial contact. An AI consultant on the website bridges this gap: it engages the visitor, asks the right questions, filters non-target requests, and hands over a complete picture to the manager. The manager starts where the routine ends. Tron Pool Energy develops and implements turnkey AI consultants for websites: from the knowledge base and conversational scenarios to CRM integration and multi-site deployment.

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