How to price your home to sell, using real data
Founder of Seeki.eu. Writes about buying, renting and selling across European property markets, drawing on the portal's own listings data.
To price a home to sell, you compare it against recent listings of similar properties nearby (the comparables) and place your price within that distribution, rather than guessing from one neighbour's asking price or what you paid years ago. The single number that matters is the price per square metre, because it lets you compare a 60 m² flat with a 90 m² one fairly. Everything below is about getting that number right with data instead of instinct, and the tools Seeki.eu gives a private seller to do it.
Last reviewed: 2026-08-12. Every figure and product behaviour in this article was re-checked against the live Seeki.eu system and its published listings data.
Why mispricing is the costliest mistake a private seller makes
Pricing is where sellers who go it alone lose the most money. The most-quoted figure comes from the US, where, according to the National Association of Realtors, homes sold directly by their owners go for roughly 5–6% less than agent-listed ones. Some of that gap is selection, because owner-sold homes skew toward lower-value or off-market deals between people who already know each other. But a large part of it is pricing, and pricing is the one variable a seller fully controls.
The mistake runs in both directions. Price too high and the listing sits. The longer it sits, the more buyers assume something is wrong with it, and the eventual sale comes after a visible price cut that weakens your hand. Price too low and you leave money on the table that you never get back. Neither error is obvious from inside your own home, which is exactly why you need an outside reference point.
What a "comparable" actually is
A comparable is a recently listed property similar enough to yours (same city or district, same type, roughly the same size and condition) that its price tells you something real about yours. Note that these are asking prices from live listings, not registered sold prices. That is the reference a private seller can actually get at, and it is the set your home will be sitting next to on screen while it is on the market. One comparable is an anecdote. A useful reference is a distribution of many comparables, expressed as price per square metre, so you can see not just the middle of the market but the whole spread.
That spread is the part most sellers never see. Take apartments for sale in Prague. In Seeki.eu listings data, as of August 2026, the median is €6,954/m², but the middle half of the market runs from €5,865 to €8,156/m², and the tenth and ninetieth percentiles sit at €4,972 and €9,527/m². A 39% gap between the quarter-point and the three-quarter point, inside one city and one property type, is what the things a buyer cares about (floor, light, renovation, a balcony) are worth in practice. A single "the neighbours got X" data point hides all of it. What you want is the median for your segment and the range around it, then a decision about where in that range your specific home sits.
Those figures count every published Seeki.eu listing in Prague of type apartment carrying both a price and a floor area, taken as price divided by floor area and converted to euros. The same distribution is published for cities across Europe, so you can read yours the same way, starting from the Prague price-per-m² page or the equivalent page for your own city.
How Seeki.eu prices a home from real comparables
Seeki.eu indexes live property listings right across Europe. That data is aggregated, per city and per property type, into a price-per-m² distribution: the 10th, 25th, 50th (median), 75th and 90th percentiles. When you start a listing, Seeki.eu reads the distribution for your exact segment, say apartments for sale in your city, and turns it into a concrete suggestion: a median-anchored guide price for your floor area, with a sensible range from the 25th to the 75th percentile around it. It is a guide price, not an appraisal, and it never pretends otherwise.
Two design choices keep this honest. First, the suggestion is segment-specific where the data supports it (apartments compared to apartments) and falls back to a broader segment only when a narrow one is too thin. Second, Seeki.eu tells you how many comparables sit behind the number. A suggestion built on a handful of listings is labelled as a thin sample, not dressed up as precision it does not have. The goal is a defensible starting point, not a false guarantee.
Reading the price-position gauge
Once you enter a price, Seeki.eu plots it on a five-band gauge against the same distribution, the way car sellers know it from mobile.de, applied to European property. The bands read left to right:
| Band | Where your €/m² sits | What it means for a seller |
|---|---|---|
| Very good price | Below the 10th percentile | Likely to sell fast, though you may be leaving money behind |
| Good price | 10th–25th percentile | Competitive, with quick interest and no underselling |
| Fair price | 25th–75th percentile | In line with the market, where most sales happen |
| Above market | 75th–90th percentile | Justifiable only with clear standout features |
| High price | Above the 90th percentile | Expect a slow listing and a probable price cut |
One detail matters for reading that table honestly: the band edges are not raw city percentiles. Before your price is placed on the bar, they are re-based to your home, matched to your floor area, to your building condition where enough same-condition comparables exist, and to features such as a garage or a terrace. A well-equipped flat is therefore not judged against bare ones, and a large house is not judged against the higher €/m² of small ones.
The gauge is not telling you to land in the middle. It is telling you where you are, so the choice is deliberate. A renovated top-floor flat with a view that earns its place in the "above market" band is a strategy. The same band reached by accident is a listing that will sit. Seeing the marker move as you adjust the price turns pricing from a guess into a decision.
Check your number before you list
You do not need to start a listing to get the data. The Value Estimator takes a location and a floor area and returns a guide price (a central figure plus a low-to-high range), adjusted for your property's condition and, on a house, for the size of the plot, along with a sample of the comparable properties behind it, so you can see the homes your number is built on. If your immediate area is thin on data, it widens the net to the surrounding region or country rather than inventing precision from too few points, and it names the wider area it used.
A fair price is necessary, but not sufficient
The right price gets a buyer to open your listing. What is inside decides whether they enquire. This is the other half of selling privately, and it is where most owner-listed properties fall down: thin descriptions, a handful of dark photos, half the fields left blank. Seeki.eu narrows that gap with tools that do the heavy lifting, most of them in the Seeki.eu app, where you are standing in the property anyway:
- AI photo recognition. As you shoot, the app sorts each photo by room (kitchen, bathroom, living room, exterior) and tracks which rooms a complete listing is still missing, so buyers are not left guessing about what they cannot see.
- An AI-drafted description. From your photos and the property details, Seeki.eu drafts a description and a title for you to edit, in the app and in the browser alike. It fills the blank page. It never overwrites a field you have already filled in, so you keep final say over every word.
- A live listing score. In the app, a 0 to 100 strength score and its letter grade update as you build the listing, with a single top hint, usually "add photos" or "expand your description" early on, telling you the one change that would help most. Once published, the listing carries the two signals buyers actually see, a listing grade and a location score, both explained in what the Seeki Score measures.
The recognition step reads your photos, it does not retouch them. Separately, and only if you ask for it, the app can brighten a shot taken in poor light and can virtually stage an empty or dated room so a buyer can picture living in it. Both are revertible to the original, and virtual staging is exactly that: furniture on the screen, not furniture that comes with the flat. The rest is guidance that turns a sparse listing into a complete one, which is what a fairly priced home needs to actually sell.
What it costs: no agent, no commission
Across Europe, selling through an agent typically costs 3–7% of the sale price, and which side of the deal pays it varies by country. In Germany the total commission can reach 7.14% including VAT, historically split between buyer and seller. On a €300,000 sale, 5% is €15,000, money taken out of your pocket for work you can increasingly do yourself.
| Selling through an agent | Selling yourself on Seeki.eu | |
|---|---|---|
| Cost | 3–7% commission (often four or five figures) | €9 to publish, a launch price against a regular €29 |
| Pricing help | Agent's opinion | Data from real comparables across Europe |
| Listing quality | Depends on the agent | AI photo recognition, drafted description, live score |
| Time to live | Days, on the agent's schedule | Minutes, on yours |
| Who handles buyers | The agent | You, directly |
Seeki.eu replaces the commission with a single flat fee to publish: €9 at the current launch price, against a regular price of €29. Every tool above that builds the listing is free, and Seeki.eu takes no cut of your sale and no charge per buyer enquiry. Your listing goes live within minutes of payment, with no approval queue, and you deal with interested buyers directly. The trade is straightforward: you do the parts an agent would do, and the data does the part that is genuinely hard.
Do it from your phone
The whole flow runs in the Seeki.eu app: photograph the rooms, let Seeki.eu recognise them and draft the description, walk the room tapping each corner so the app measures the walls and draws the floor plan, watch the price gauge and the listing score update live, then publish. Photographing a property is something you do while standing in it, so the phone is the natural place to create the listing. When you are done, the app can also hand you a paste-ready bundle of the same listing in each portal's own field labels, so building it once does not mean retyping it anywhere else you decide to post it yourself.
Frequently asked questions
How does Seeki.eu estimate my home's value?
Seeki.eu compares your property against live listings of similar homes in the same city and of the same type, then expresses the result as a price-per-m² distribution. Your guide price is the median for that segment applied to your floor area, adjusted for condition and for plot size on a house, with a range from the 25th to the 75th percentile around it. You can run it free in the Value Estimator.
How accurate is an online home value estimate?
An estimate is only as good as the comparables behind it, which is why Seeki.eu shows you how many listings the number is based on and the sample properties themselves. It is a strong, data-backed starting point for setting your price, not a formal appraisal or a survey. For a binding valuation, such as one for a mortgage or a dispute, you still need a certified appraiser.
What if there are few comparable listings in my area?
When your immediate area is too thin to be reliable, Seeki.eu widens the net to the surrounding region or country rather than pretending to precision it does not have, and it labels the sample as thin. You get a defensible reference point with its limits made clear, instead of a confident number built on two or three listings.
Do I need an estate agent to sell my house?
No. The two things an agent traditionally provides, a price opinion and a presentable listing, are exactly what Seeki.eu's data and AI tools give you directly: pricing from real comparables, photo recognition, a drafted description, and a live quality score. You handle buyer enquiries yourself and keep the 3–7% you would have paid in commission.
How much does it cost to list a property on Seeki.eu?
Seeki.eu charges a single flat fee to publish a listing: €9 at the current launch price, against a regular price of €29, shown at checkout before you pay. Every tool that builds the listing, from the photo recognition to the guide price, is free. There is no commission on the sale and no charge per buyer enquiry, unlike an agent, who typically takes 3–7% of the final sale price. The flat fee is the same whether your home sells for a little or a lot.
How quickly does my listing go live?
Within minutes. Once payment clears, Seeki.eu publishes the listing immediately, with no manual approval queue. You can edit it, refresh it, or take it down at any time from your dashboard.
Seeki.eu indexes property throughout Europe, so every listing you create is searchable alongside the rest of the market, by buyers who are not necessarily in your country or searching in your language. To see how the buyer side works, the natural-language search explainer walks through how Seeki.eu turns a plain sentence into a structured search across the continent.
Sources
- Price-per-m² distributions (Prague apartments for sale: 10th, 25th, 50th, 75th and 90th percentiles) are Seeki.eu's own listings data as of August 2026, computed over published listings that carry both a price and a floor area, converted to euros. The same figures are published per market on the price-per-m² pages.
- The 5–6% gap between owner-sold and agent-listed homes is US data from the National Association of Realtors, linked in the text.
- The German 7.14% figure is the total commission including VAT, linked in the text; the 3–7% pan-European range is the customary spread of agent commission and varies by country and by which side of the deal pays it.
- Product behaviour described here (the guide price, the price-position gauge and its bands, the listing tools) was verified against the live Seeki.eu system on the review date above.