How I Produce 30 Real Estate Videos a Month for Under $5 Each

The average real estate agent spends $400 to $1,500 per listing video and waits 5 to 7 days for delivery.

I produce 30 videos a month. Total production cost per video: under $5. Hardware: a three-year-old MacBook Pro. Location: whatever coffee shop has decent Wi-Fi.

This is not a hypothetical workflow. It powers Houston.estates and the product demos for SuperReel.io.

Below is the exact stack, the credit costs, and the specific prompt templates.

Why Most Creators Fail with AI Video

They try one tool, get generic output, and conclude AI video looks fake. The reality: single-tool workflows produce single-tool results. Professional output requires chaining specialized models, each doing what it does best.

The other failure mode is burning credits on bad generations. Kling 2.6 and 3.0 are powerful but expensive if you don't know the settings that actually matter. One wrong motion setting can cost you $3 in credits with nothing usable to show.

This workflow solves both problems: professional results, minimal waste.

The Six-Layer Stack (Current as of March 2026)

I'll walk through the full process using an aerial property video as the example.

Layer 1: Source Material. Google Maps + Street View

Time: 8 to 12 minutes per property

Instead of shooting on location, I grab screenshots from Google Maps. Two shots for every property:

• Aerial view. Shows the full property, neighborhood context, lot size.
• Street View. Shows building details, facade texture, architectural character.

Always capture both. You'll see why in Layer 2.

Layer 2: Enhancement. Nano Banana Pro via Kling Canvas

Time: 5 minutes setup, AI processes in the background Cost: ~$0.08 to $0.15 per image

Here's the secret: I use Perplexity to write my Nano Banana prompts. You upload both images (aerial + street view) to Perplexity, Gemini, or ChatGPT, and ask it to write a Nano Banana prompt that combines the best of both shots.

The prompt I actually used:

"Create a photorealistic real-estate drone photograph of the exact same house and lot shown in Image 1 (Google Maps 3D view). Keep the camera angle, framing, roof shapes, footprint, driveway/path layout, yard size, and neighboring house positions consistent with Image 2. Use Image 2 (Street View) as the truth source for the house facade: stucco/brick/stone materials, paint colors, trim, windows, arches, door style, roof shingle color/texture, and overall architectural details. Match those real-world materials and proportions faithfully. Make it look like a real camera photo: natural lighting, realistic shadows, correct perspective, crisp but not over-sharpened, true-to-life colors, realistic grass texture, believable trees (no smearing), and clean edges on rooflines and windows. Replace all Google Maps artifacts with real detail (no melted trees, no warped roofs, no low-poly look). Remove all UI elements, labels, pins, watermarks, and any text. Keep the scene as a Houston residential neighborhood. The background should look like a real distant skyline/horizon (subtle and believable), not a pasted overlay. If anything is unclear in Image 2, infer it in a realistic way while staying consistent with Image 2's house design."

Copy that prompt into Nano Banana Pro (I use the Kling Canvas interface, but anything with Nano Banana Pro and 2K/4K output works), upload your aerial image, and generate.

Layer 3: Animation. Kling 2.6 with Simple Prompts

Time: 2 minutes setup Cost: $0.50 to $1.50 per video (less if you remove native voice)

I use Kling 2.6, not 3.0. Kling 3.0 has features like Multi-shot, but it's overkill for real estate and burns credits faster. Kling 2.6 hits the sweet spot for property videos.

The workflow:

1. Take your enhanced image from Nano Banana Pro.
2. Write a simple motion prompt. Keep it short and direct.

The prompt I actually used:

"Camera moves slowly toward the house, slow movement, no shaking"

That's it. No fancy language. Simple prompts work better for architecture because Kling doesn't try to get creative with the motion.

3. Paste into Kling 2.6.
4. Critical: Remove native voice/audio generation to save credits. You'll add voiceover in Layer 5.
5. Generate.

Repeat the same steps for interior shots with adjusted inputs.

Layer 4: Scripting. Perplexity

Time: 10 to 15 minutes

I feed it the property address, price point, and target demographic. It returns three hook variants.

Perplexity also verifies the claims. If the script mentions "up 40% since 2022," Perplexity checks Redfin or local MLS data. One inaccurate stat destroys credibility.

Layer 5: Voiceover. ElevenLabs v3

Time: 2 minutes Cost: Free for the first 5,000 characters

Paste the script from Perplexity into ElevenLabs (Text to Voice), enable V3 Enhance, select the voice you like. Done. Straightforward, nothing to overthink here.

Layer 6: Assembly. CapCut Desktop

Time: 2 to 5 minutes per video

Import Kling output, drop in ElevenLabs audio, hit auto-captions, add royalty-free music from Artlist or Epidemic Sound, export. If you're reading this, you can handle CapCut. It's drag and drop.

Three Template Formats (Copy-Paste Ready)

Format A: The Neighborhood Authority

• Hook: "Three [City] neighborhoods where $500K still buys you space."
• Structure: Problem (everything is overpriced) → Solution (these three pockets) → Proof (recent comps)

Format B: The Time-Machine Listing

• Hook: "This house was $620K in 2021. The asking price now? $1.4M."
• Structure: Historical Street View → Current listing → What changed (renovation, neighborhood, market forces)

Format C: The Aspirational Scroll-Stopper

• Hook: "POV: You just closed on your dream home."
• Structure: Pure visual dopamine. No narration, just slow cinematic motion and luxury lifestyle audio.

Credit Economics: The Math That Matters

Traditional production (per video)

Item	Cost
Videographer half-day	$200 – $600
Editor	$250 – $400
Color correction	$100 – $150
Voice talent	$50 – $250
Total	$600 – $1,400

AI stack (per video)

Item	Cost
Nano Banana Pro	$0.10 – $3
Kling 2.6	$0.50 – $6
ElevenLabs	Free
Total	$0.95 – $8

At 30 videos per month:

• Traditional costs $27,000 to $42,000.
• The AI stack costs $30 to $240.

The gap is not marginal. It's a different business model entirely.

Common Failure Points to Avoid

• Using Kling 3.0 on architecture. You can get unexpected cuts and wasted credits.
• Skipping the Perplexity fact-check. One wrong price claim and your credibility is gone.
• Trying to enhance low-resolution Google Maps screenshots. There's no data in a blurry screenshot. That's why you capture both aerial and street view.
• Ignoring captions. 85% of social video is watched without sound. CapCut auto-captions are good enough.

What I'm Building Next

SuperReel.io is a service where I use a workflow like this, but more advanced. Instead of you running each layer yourself, you send me a location and I deliver the finished video. $100 to $200 per video, done for you.

I'm building it because I know most of you want consistent, high-quality videos without touching Perplexity, Kling, or any of these tools directly. You just want the output.

Members here get first access when it launches.