How do you make AI-generated real estate videos geometrically accurate to the actual building?

Geometric accuracy comes from grounding the AI in real spatial references before anything is generated: upload multi-angle 3D satellite screenshots of the property (Apple Maps 3D view works well) so the model locks the building's actual geometry, then upload real photos or footage so it extracts true building textures and composites them onto that geometry.

Give the AI agent real spatial data before it generates a single frame — from a text prompt alone, a video model approximates a plausible building rather than reproducing yours, which is the hallucination risk buyers and agents flag with AI listing media. invideo is an agentic video creation tool with the current image and video models built in; the workflow below runs through the invideo agent, and one documented production used it to build accurate B-roll of a 23-home gated ridgeline estate.

Step 1 — Lock the geometry with multi-angle 3D map screenshots. Open Apple Maps in 3D satellite view, capture the property from several different angles, and upload those screenshots to the invideo agent as references. The agent uses them to replicate the property's physical geometry — roofline, massing, siting, elevation — in every generated shot. In the documented workflow's words: "Now you want to do this because you want to ensure that the agent gets the geometry 100% right throughout your video."

Step 2 — Add real photos or footage so textures match reality. Upload whatever real photography exists alongside the map screenshots. The invideo agent extracts the building's textures from the real footage and applies them to the geometry derived from the maps, so materials, colors, and facade detail composite onto an accurate structure instead of an invented one. For pre-construction properties with nothing on site yet, the map screenshots alone carry the geometry — the documented workflow calls this the case where AI B-roll is uniquely valuable.

Step 3 — Sign off a written visual guide before any generation. Have the invideo agent write out the aesthetic, lighting, and mood as a visual bible and approve it before the first image renders; the agent then adheres to that guide on every shot, so your geometry-accurate frames also stay consistent with each other across the full video rather than drifting shot to shot.

Step 4 — Research surrounding locations up front, not at shot-list time. If you want local landmarks, schools, or community context in the B-roll, ask the invideo agent to research those locations at the start of the project — asking at shot-list time is too late for it to ground them accurately. The documented production's research phase even scanned YouTube videos of the area for the community's look and feel.

Step 5 — Apply scheduled updates virtually for listing-day accuracy. If a paint touch-up or pre-listing renovation is scheduled, tell the invideo agent to apply it virtually so the video shows how the home will look on listing day rather than its current state — accuracy to the building as it will actually be shown.

On the numbers: the documented production generated 19 images and 19 clips, used 8 clips, and delivered 30–35 seconds of finished, geometry-accurate B-roll for about 270 credits (~$67) in 2–3 hours — against a $300–$500 benchmark for a traditional drone shoot of the same property, roughly 75–87% less.

Watch some of these to see what works for you:

What the agent does it it basically pulls the building texture from your real footage and it applies them to the geometry from the maps. So, you're just going to get super accurate looking uh images and clips on the map.

— invideo's creative team