AI Curb Appeal Rater

Curb appeal is mostly a handful of things read at a glance, not a hundred small details. The roofline sets the tone first — a clean, well-maintained roofline with gutters that run straight and downspouts that aren't sagging reads as "cared for" before a viewer even registers the walls. A roof with moss, missing shingles or visibly bowed gutters undercuts everything below it, no matter how good the paint looks.

Symmetry and proportion matter more than most owners expect. Houses with a centered front door, evenly spaced windows and a balanced roofline read as more attractive even when nothing about them is expensive — the eye rewards order. Where a house is naturally asymmetric, matching the planting or lighting on each side of the entry restores some of that balance without touching the architecture.

The entry itself does disproportionate work. A clean, well-lit front door in good repair — with hardware that matches and a porch or step that's swept and uncluttered — is the single element viewers look at longest, because it's where they imagine themselves standing. Paint condition across the whole facade (chalking, peeling, visible patch repairs) and the shape and upkeep of the landscaping — trimmed edges, no dead patches, foundation beds that aren't overgrown — round out the picture the AI is scoring.

The score and suggestions come from a vision model reading your photo the way a person would, weighing landscaping, paint condition, symmetry, entryway and lighting. It is a fast, consistent opinion generated from pixels, not a professional appraisal, a real-estate valuation or a structural inspection — it cannot see behind the siding, check for damp, or know your local market.

Treat the number as a conversation starter rather than a verdict. Two photos of the same house taken at different times of day, in different light, or from a slightly different angle can score differently, because the model is reading what is visible in that frame, not the house as a whole. Use it to spot the two or three things worth fixing first, then decide for yourself whether they're worth doing.

For anything that affects a sale price or a listing decision, the score is a starting point for a conversation with a real estate agent or a landscaper, not a substitute for one. It has no access to comparable sales, buyer preferences in your specific market, or the condition of anything the camera can't see.

Some curb appeal fixes are cheap and fast: repainting or replacing a tired front door, swapping dated house numbers and light fixtures, pressure-washing siding and walkways, edging the lawn and refreshing mulch beds, and clearing anything parked or stored where it shouldn't be. These are the improvements most likely to show up in the AI's suggestions because they're visually obvious and don't require structural work.

Bigger projects — full repainting, new siding, hardscaping a driveway, or reworking the landscaping layout — take more planning and budget, and the suggestions here are meant to help you decide if they're worth pursuing rather than to spec them out. If the score keeps flagging paint condition or roofline issues across several photos, that's a signal the underlying problem is real, not a quirk of one photo.

Sequence matters: fix the entryway and paint condition before landscaping, since a beautifully planted yard around a peeling front door still reads as neglected. Small, visible fixes done first tend to move the score more than one large project done in isolation.

Shoot straight-on from the street or sidewalk in good daylight, ideally when the sun isn't directly behind the house casting the facade into shadow. Overcast days often give a more even, honest read than harsh midday sun, which can blow out paint color and hide texture.

Include the whole facade in frame — roofline to foundation, and enough yard on either side to show the landscaping. A cropped or angled shot hides exactly the elements (roofline, symmetry, entry) that the score weighs most heavily.

If you're comparing before and after an improvement, shoot from the same spot, same time of day, so the two scores are actually measuring the change rather than the light.