How out-of-state buyers are using AI to shop West Michigan

Ask an out-of-state buyer this year how they started shopping West Michigan, and "a chatbot" is a real answer. Buyers relocating from Chicago, from metro Detroit, and from farther out are increasingly running their whole pre-shopping process — cost of living, commute, schools, taxes — through an AI tool before an agent ever enters the picture.

Zillow's AI mode, which the company put into beta this spring, is built for exactly that: describe what you're looking for and it compares homes, estimates repair and upgrade costs, explains what you can afford, and can walk you through renting versus buying. It's a genuinely useful front door. It also has no idea that the house it just surfaced sits on a quiet no-wake lake five miles from the all-sports lake the buyer actually had in mind.

Where AI earns its keep

The parts of this that work, work well. AI is decent at laying out the big structural differences between where a buyer is coming from and where they're landing — how a state's tax structure compares, what published school ratings and crime data show, what the commute actually looks like on a map instead of a listing photo. It can turn a stack of listing photos and video into a first-pass tour, letting a buyer screen ten houses down to three before booking a flight. And it's a reasonable place to draft the list of questions to bring to a local agent, which is often the most valuable thing it produces — not an answer, but a sharper question.

What it blurs together about a lakeshore town

A general-purpose model is trained on the internet's average description of a place, and a lakeshore region doesn't average well. The most common way this shows up is lake classification: whether a lake is all-sports or no-wake changes the whole character of a property, and the two can sit five miles apart with wildly different feels. A no-wake lake caps boat speed at roughly fifteen miles an hour and keeps out personal watercraft; an all-sports lake allows wakeboarding, tubing, and jet skis, often on top of whatever ordinance the township has layered on the state classification. A midweek video tour of either one can look identical — flat water, one boat drifting by. A Saturday in July looks nothing alike, and a listing description generated from general web text has no way to know which lake it's actually describing.

Dune rules are another one. Michigan protects mapped critical dune areas under state law, and EGLE requires a permit before you can move earth, clear vegetation, or build on a parcel that falls inside one. That's parcel-level information sitting in a GIS layer, not in a listing description, and a chatbot summarizing a neighborhood from public web pages will not flag it. School districts are a third: a mailing address doesn't determine which district a house feeds into. A home addressed to one lakeshore city can feed a completely different district than the house two streets over, and in some cases the elementary and high school assignments split. AI trained to answer confidently will answer confidently anyway, using the city name, which is frequently just wrong. And then there's the seasonal swing — AI-generated neighborhood summaries tend to describe a lakeshore town in its July version, full sidewalks and open shops, with nothing to indicate that a meaningful share of the population and the businesses are gone by Labor Day.

• Whether a specific lake is all-sports or no-wake, and whatever the township has added on top of the state classification
• Whether a parcel falls inside a mapped critical dune area, which can require an EGLE permit before you build, add a driveway, or move earth
• The exact school district a parcel feeds into, which can differ from the mailing-address city and can even split elementary from high school
• How different a town feels in January versus July, when much of its population and its storefronts are seasonal

What to verify before you write an offer sight-unseen

None of this is an argument against using AI to get started — it's a faster way to arrive at the right questions than working through a dozen government websites cold. It's an argument for making sure a local person answers those questions before money moves. Have your agent do a live video walkthrough themselves, camera in hand, panning where you ask instead of following the seller's staged tour. Confirm the school district by parcel address, not by town name, before you fall in love with a particular school. Ask directly whether the lake is all-sports or no-wake and what the township ordinance adds. Check whether the parcel sits inside a mapped dune area before you assume the addition or the dock you're picturing is buildable as shown. And if you can manage one trip before closing, take it outside the season the listing photos were taken in.

• Have your agent walk the property live on video, not the seller's marketing tour
• Confirm the school district by parcel address, not by the mailing-address city
• Ask directly whether the lake is all-sports or no-wake, and about any township ordinance layered on top
• Check whether the parcel falls inside a mapped critical dune area before assuming what you can build
• If one trip before closing is possible, take it in the off-season

The buyers who do this well treat AI as the research assistant it actually is — fast, tireless, and confidently wrong about the things that only show up when you stand on the property or talk to someone who has. Our Waterfront Buying Guide goes deeper on the lake- and dune-specific questions worth asking before you write an offer on a Michigan shoreline you haven't walked yet.