Guide · Real estate · Valuation
We measured the price spread on 1,537 DVF sales of 3-room flats in Annecy, Nantes and Limoges. The result shows why a single figure misleads a seller, what the French code of ethics requires of an agency, and how an AI agent can reply fast without taking the human agent’s place.
The measurement
In Nantes in 2025, only 30% of 3-room flats of 55 to 75 m² sold within 10% of the city’s median price.
In brief
20 to 30%
of comparable 3-room flats sold in 2025 went within 10% of their town median (Annecy 29%, Nantes 30%, Limoges 20%)
Lumyniq calculation on geolocated DVF, October 2026 release, 29 October 2026
× 1.95 to × 2.51
ratio between the 90th and the 10th percentile of price per m² for those sales
Same calculation, 1,537 sales in total
6%
median error of Meilleurs Agents estimates at the end of 2021, according to the publisher
Thomas Lefebvre, Meilleurs Agents, quoted by MySweetImmo on 12 June 2022
8.4%
median error SeLoger reports for apartments in Paris
Baptiste Capron, SeLoger, quoted by MySweetImmo on 11 June 2025
This guide is written for estate agencies working in France. It answers one question: how to capture a seller who goes online to value their home, without giving them a figure the agency cannot defend. The part on telephone canvassing is short, because a whole guide covers it.
The Lumyniq measurement

Method. We downloaded the 2025 geolocated DVF file published on data.gouv.fr on 20 October 2026, built from the DGFiP update of 12 October, and kept, for each town, transactions of type “Vente” covering a single apartment with 3 main rooms and 55 to 75 m² of built surface. A cellar or parking space sold in the same deed is allowed, because 78 to 90% of single-apartment sales include one depending on the town: without them, only 12 sales remained in Annecy. Price per m² is the sale value divided by the surface. No sale was removed, and percentiles set extreme values aside on their own.
| Town | Sales | 10th percentile | Median | 90th percentile | Within 10% of median | A 65 m² flat, 10th to 90th percentile |
|---|---|---|---|---|---|---|
| Annecy | 399 | €3,356/m² | €4,927/m² | €6,581/m² | 29% | €218,000 to €428,000 |
| Nantes | 861 | €2,294/m² | €3,245/m² | €4,470/m² | 30% | €149,000 to €291,000 |
| Limoges | 277 | €846/m² | €1,419/m² | €2,127/m² | 20% | €55,000 to €138,000 |
Closer in, the spread stays. In the Nantes cadastral section with the most sales of this kind (20 sales), prices run from €2,786 to €4,650 per m². In the busiest Annecy section (15 sales), from €3,194 to €6,102. Going down to postcode helps a little: in Annecy the median moves from €4,486 per m² in 74960 to €5,717 in 74940. Since 2017 the merged town of Annecy has combined six former communes, so its median blends different markets.
Why the spread is so wide. DVF records neither condition, floor, energy rating nor view. Part of the spread is real differences between homes. Part comes from the data: sales between relatives, partial sales, parking counted in the price. Meilleurs Agents makes the same point in its method note: even two identical flats in the same building do not sell at the same price.
What the reported errors mean. A 6% median error means half of the estimates miss the sale price by more than 6%. On a 65 m² Annecy 3-room flat at the median price, about €320,000, 6% is €19,000. At 8.4%, SeLoger’s figure for Paris, the gap is €27,000. Meilleurs Agents describes Paris, with about 30,000 apartment sales a year, as the best case in France for data density. We infer, without a published figure to check it, that estimator error is unlikely to be lower elsewhere.
The sources
| Source | What it holds | Error reported by the publisher | Limit to know |
|---|---|---|---|
| DVF (DGFiP, data.gouv.fr) | Sales of the last five years, with price, date, surface and rooms. Excludes Alsace, Moselle and Mayotte | Not applicable: these are actual sales | No condition, floor or energy rating. Updated in April and October. Unusual sales not filtered out |
| French notaries (Perval, BIEN) | Perval covers a little over 80% of transactions, outside Île-de-France; complete reporting since summer 2021 | None for a given home. The Notaires-Insee indices track price change at constant quality | Built to follow the market as a whole |
| Meilleurs Agents | Sale agreements from partner agencies (25% of 2022 transactions), Île-de-France notaries, DVF elsewhere | 6% median error at end 2021 (publisher’s statement, 2022). Confidence index from 1 to 5 based on data volume | The figure dates from 2021. The index flags areas where data is thin |
| SeLoger | 15 years of consolidated data, expertise "historically carried by Meilleurs Agents", over 600,000 estimates a month | 8.4% median error for apartments in Paris (publisher’s statement, 2025) | No figure published outside Paris that we could find |
| "Rechercher des transactions immobilières" (impots.gouv.fr) | DGFiP sales, open to prospective sellers and buyers since 2 May 2017 | Not applicable: a list of sales | Access through the personal tax account, reason must be stated |
Two points in this table change how a figure should be presented. First, Meilleurs Agents shows a confidence index because it knows its accuracy depends on how many sales exist nearby. An agency agent showing a range should do the same: say how many sales it rests on and when they took place. Second, according to Meilleurs Agents, DVF lags the final deed by 6 to 18 months, up to two years on the data. The 2025 sales file measured above is the one published in October 2026.
This is where an agency holds something the portals lack: its own recent sales, with the condition and floor of each home. An agency that keeps them in its own system can feed its agent with comparables nobody else has. We explain how in our guide on the data a real estate agency must own.
The text
The code of ethics applies to every holder of the professional card created by the law of 2 January 1970. Three articles matter for valuation, and we read them in the text on Légifrance on 29 October 2026.
On liability, Weblex summarised on 4 May 2021 a ruling of the Rouen Court of Appeal of 25 March 2021 (no. 19/01978): a valuation does not have the status of an appraisal and still makes its author liable when the author is a property professional. The seller must still prove a fault, a loss and the link between them. We found no ruling from the Cour de cassation on an automated online estimate.
For an AI agent this translates into three rules. It quotes a range of public sales with its source, and labels it as such. It tells the seller that this range is neither a price opinion nor an appraisal. And it leaves the human agent to write the price opinion after the visit, with the article 6 statement. We are not lawyers: have the agent’s messages reviewed by your counsel or your trade federation.
The context
Law 2025-594 of 30 June 2025 rewrote article L. 223-1 of the Consumer Code, and decree 2026-662 of 23 July 2026 sets the five items of valid consent, its maximum duration of one year and the three years of proof to keep. The DGCCRF, the consumer protection authority, restated this in its practical sheet written on 27 July 2026. The details, including the five-day callback exception that does not cover real estate, are in our guide France’s cold-calling ban: how estate agencies still find sellers.
The diagram

| The agent asks | Why it matters |
|---|---|
| What is the address, or at least the street? | It selects the comparable sales. The town alone mixes markets, as in Annecy |
| Surface, number of rooms, floor, lift? | DVF holds surface and rooms; the floor is missing. A 4th floor walk-up does not compare with a 1st floor |
| Overall condition, recent works, energy rating? | DVF ignores them, and they decide whether the home sits at the top or bottom of the range |
| Balcony, terrace, cellar, parking? | They are often sold in the same deed and inflate the price per m² of comparables |
| When do you want to sell, and why? | A job move, a buy-and-sell or an inheritance need different handling |
| Is the home already listed or valued by another agency? | The human agent arrives prepared, without discovering an existing mandate during the visit |
| Would you like a call back, and when? | This is where consent is collected, with an unticked box and the items set by the decree |
Asked "what is my 65 m² 3-room flat in Nantes worth?", a well-configured agent would answer roughly this: "Across Nantes, 861 3-room flats of 55 to 75 m² sold in 2025. The middle half sold between €2,712 and €3,866 per m². This comes from public DVF sales and is neither a price opinion nor an appraisal: the condition, floor and energy rating of your home will place it inside this range or outside it. To narrow it down, which street is your home in? I will then ask three questions to prepare our agent’s visit."
What the human agent receives matters as much as the conversation: the seller’s answers, the sales quoted, the proof of consent and the slot chosen. Without that brief, the seller repeats everything on the phone and the time saved disappears. The brief therefore has to land in the human agent’s own tool, which means you need to connect the agent to your real estate CRM.
Public data

In a private conversation, the agent can quote sales close to the home, since the seller could find them on the public explorer. A page of the site open to search engines raises a different problem: a "sale prices street by street" page generated from DVF conflicts with the second condition. That is our reading of the DGFiP conditions; have it checked if your site publishes sales.
The other rule is about form: a range comes with its date and volume, for example "861 sales in 2025".
GDPR
Since 2 August 2026, article 50(1) of Regulation (EU) 2024/1689 requires that the person be informed they are interacting with an AI, unless it is obvious. The details for an agency are in our guide to the EU AI Act for estate agencies.
The tools
An agent is only as good as what it knows about the agency. It should answer from the agency’s own pages: area covered, fees, recent sales the agency is willing to show, how it works. If those pages do not exist, the agent improvises or stays silent. The same pages also serve assistants like ChatGPT, which recommend agencies they have read about.
At Lumyniq, one route exists today; the second, Agent Studio, is in preparation: you paste your website address, and it sets up an agent that answers from those pages on WhatsApp, Telegram, Messenger, email and the site, and that is tested against your rules. It has not launched yet; the Agent Studio waitlist is open. For a flow connected to your transaction software, with your own comparables, you need a custom AI agent. That is a project run with an agency, with a set-up period and a dedicated budget. The wider picture of use cases is on our page on AI in real estate.
For the seller
An agency agent that explains this method to a seller loses nothing. It shows the agency knows its sources, and the seller arrives at the visit with precise questions.
Limits
Accuracy. The agent does not see the home. Its range keeps the full width measured above until a professional visits.
Traffic. An agent on a site nobody visits qualifies nobody. Inbound demand is built with useful pages, and that work takes months.
Follow-up. If the brief sent to the human agent goes unanswered for two days, the seller may have contacted other agencies in the meantime.
The measurement. Our calculation covers three towns, one year and one property type. It shows the order of magnitude of the spread and does not claim to describe all of France. The filters are set out in the method above, for anyone who wants to repeat it for their own town.
The law. This page reads the texts as of 29 October 2026 and is not legal advice.
FAQ
Related guides
Callback consent, its five items and the five-day trap.
Your recent sales are the comparables the portals do not have.
The pages that feed your agent also feed the assistants.
What happens after the handover to the human agent.
The profession’s legal frame, beyond the price opinion.
Links verified at publication. Regulatory texts change — always defer to the official source.
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