What can be seen, can be sold.

The customer nods. And still does not decide.

A typical consulting meeting in landscaping lasts one to two hours. You walk through the garden with the family, listen, suggest solutions, and take notes. On the way back to the office, you have ten ideas in your head, a few measurements on your notepad, and the gut feeling that it was a good appointment.

Then the gap begins. You write a quote with items such as perennial and grass planting according to the planting plan, 42 m². The customer reads this, understands parts of it, but does not see the garden. They see an Excel list with amounts. The decision is delayed, or it is made against another offer in which a competitor has also included a quick sketch.

This is not a convenience problem, but a sales problem. Those who do not show what they mean during the consultation have a harder time selling. AI garden visualization closes exactly this gap. It transforms a description into a shared vision.

A visual bridge between the appointment and the order.

auraVision starts in the sales process exactly where words and sketches have stood until now. You upload a photo of the garden, select an input mode, a style, and the areas the garden should have. A photorealistic image of the planned garden is created from this configuration.

Unlike generic image generators, auraVision is tailored to the sales situation in landscaping and related industries. Styles, areas, and material options are prepared exactly as you actually need them in a customer meeting. A louvered pergola is called a louvered pergola, a wooden deck looks like a wooden deck.

The decisive added value does not arise from the image alone. It arises from the conversation that results from it. As soon as your customer sees several variants of their own garden in front of them, they no longer talk about square meters, but about preferences. About the pergola or the clear view of the meadow, about floor spots or bollard lights, about louvered fences or hedges.

Three ways to the image. Three consulting situations.

Not every conversation needs the same level of detail. Some customers want inspiration, others come with clear ideas. auraVision distinguishes between three input modes so that you can choose the appropriate path for each appointment.

Four styles. One common language.

Each style is a combination of materials, furniture, and planting logic. In the consultation, you choose two or three styles and discuss together on the screen what feels natural to the customer.

Nine areas. Material at the touch of a button.

A garden is the sum of its areas. auraVision structures the configuration along these areas and offers suitable material options for each area, so that you can become specifically concrete in the conversation.

Four moods. One garden.

A garden is not one image, but many. It looks different at noon than in the late evening, different in July than in November. Those who only show one variant in a consultation ignore a large part of the reality of use. Since May 2026, auraVision has therefore generated four mood variants of the same garden in identical geometry upon request.

Why identical geometry is the crucial point

The four moods are not four new images. They are four weather versions of the same image. The terrace remains in the same place, the pergola has the same dimensions, the apple tree stands at the same angle. This geometric consistency is the difference from generic image generators, where every new request creates a different garden.

Use in the sales conversation

In practice, we recommend starting with the summer day variant and opening two further moods depending on customer interest. Families are often interested in the summer vegetation, wellness customers in the evening lighting, and buyers in higher altitudes in the winter effect. The mood follows the question, not the sequence.

One tool. Multiple sales conversations.

The photo is customer data. In sales too.

A photo of the house often shows license plates, sometimes people at the window, and always the exact location. As soon as you have such a photo processed digitally, the General Data Protection Regulation applies. This is not a minor detail, but a professional requirement when dealing with private customers who are increasingly asking about data protection themselves.

For the use of AI image tools, we recommend three guiding questions: Where are the images processed? Are they used for training the models? How are people in the input images treated? We clarify answers to these in the onboarding for each customer constellation.

The state of discussion on copyright for AI images is legally in flux. In consulting use, we treat the generated images as sales illustrations, not as binding construction plans or contractual components. The written scope of services in the quote remains the legally binding basis.

A visualization is not a construction plan.

• 01

  Measurements are not centimeter-precise

  The AI image shows mood, materiality, and approximate proportions. For execution planning, you transfer to your CAD software or a planning partner. auraVision serves sales, not construction execution.

• 02

  Plants in growth phase

  The visualization shows the garden in a mature state. Clarify this early with the customer, otherwise an expectation gap arises directly after planting.

• 03

  Difficult sight lines

  Very narrow courtyards, steep slopes, or hillside locations require several shots from different perspectives. Those who do not plan for this during the appointment will get results that do more harm than good in sales.

• 04

  No legal binding

  The image is a sales illustration, not a contractual component. State this in the quote. The written scope of services is binding, not the rendering.

From photo to order. In clear steps.

The workflow is built so that it can be completed during the consultation. Those who want to be faster choose AI Draft. Those who want more precise control go the Step by Step or Pro Briefing route.