Real estate valuation: providing AI with accurate information for better advice
Even before a mandate is signed, artificial intelligence can become a valuable tool for real estate agents. On one essential condition: knowing how to provide it with accurate, verified, and relevant information about the property for sale.
AI is transforming the profession. But you still need to know how to use it.
Artificial intelligence is not simply a tool capable of writing a real estate listing in seconds. When used properly, it can help prepare for a seller's meeting, deepen market analysis, and assist a negotiator in justifying a price recommendation.
This development concerns both traditional real estate agencies and network agents and professionals specializing in character or prestige properties.
But the arrival of these technologies raises a professional question: how many negotiators actually exploit their possibilities beyond the automatic drafting of a few commercial paragraphs?
It would be unwise to provide a percentage answer without a representative survey. However, one difficulty is clear: obtaining a response from AI is simple; building a rigorous real estate analysis with it requires a genuine methodology.
The quality of an AI-assisted valuation begins before the question is even asked. It depends on the quality of the property file, the available references, and the professional's ability to verify the results.
Real estate overvaluation won't disappear on its own with AI
Setting the asking price is one of the most important decisions in real estate marketing.
A homeowner may retain an emotional attachment to their property, consider the cost of renovations they've undertaken, or expect an amount that aligns with their personal goals. All these considerations are understandable. However, they don't necessarily represent market benchmarks.
From the professionals' perspective, the desire to secure a listing can sometimes create tension between market analysis and the seller's expectations. Accepting a clearly ambitious price may seem to facilitate the signing, without necessarily improving the sales prospects.
ANIL emphasizes the importance of proper valuation and document preparation before listing a property for sale. Notary professionals also point out that an overpriced property can remain on the market for an extended period and lose its appeal.
In certain situations, the gap between the asking price and a well-reasoned market analysis can be very significant. Scenarios involving overvaluation of 20%, 30%, or more deserve investigation, without claiming that they represent a statistically significant frequency across the entire market.
"The real challenge is not to get the owner to agree to an inflated figure, but to build a defensible pricing strategy with them."
Artificial intelligence can help to objectify this discussion. But it can also reinforce a bad decision if it is given biased information or simply asked to justify a price that has already been decided.
An AI used to confirm its user's beliefs, rather than to test hypotheses against data, loses much of its value.
What information should be provided to the AI before any estimation is performed?
To contribute to a relevant valuation, AI needs a precise description of the property. A simple address accompanied by a living area is generally insufficient to reflect its actual real estate value.
Therefore, compiling the file deserves as much care as formulating the request addressed to the assistant.
The property and its surfaces
Property type, municipality, sector, living area, land area, rooms, levels, outbuildings and space distribution.
The construction
Construction period, roofing, heating, insulation, equipment, documented renovations and work still needed.
The real environment
Neighborhood, access, exposure, views, neighborhood, nuisances, proximity to services and specific features of the situation.
The constraints
Co-ownership, easements, urban planning, occupancy, possible heritage protections and other relevant restrictions.
Comparable references
Transactions actually identified, sale dates, known characteristics, current competition and differences between properties.
The seller's context
Sales objective, planned schedule, any prior marketing, price history and verifiable market feedback.
The information must be separated according to its degree of reliability: elements verified by document, statements from the owner, findings from the professional and data remaining to be checked.
Confidentiality must also be respected. A real estate agent does not need to disclose a homeowner's name, phone number, personal situation, or exact address to a consumer AI service to request an initial analysis.
When precise location is essential to the study, the use of a professional tool with appropriate guarantees should be considered.
The same property, two very different demands on AI
Imagine an old house located in a residential area. A negotiator wants to prepare for his meeting with the owner.
An initial, insufficient description
Summary file
"Appraise the value of an old house of 260 m² on a plot of 3,000 m², with six bedrooms, located in a sought-after town."
Enhanced file
"Old house of 260 m², land of 3,000 m², dated construction, documented technical condition, identified works, verified equipment, described situation, sourced sales references and specified legal constraints."
The second approach allows AI to better understand the context and identify the elements that distinguish the property from the selected references.
But even with more information, the tool must be able to recognize a lack of comparable data rather than artificially producing a price.
This is a fictional educational example. No numerical AI results are simulated or presented as actual estimates.
Another precaution is necessary: providing accurate information to an AI does not mean giving it only positive feedback. The property's flaws, any necessary repairs, and any nuisances must be treated with as much seriousness as its advantages.
A property with remarkable architecture but a roof in need of repair requires a thorough analysis. Ignoring the necessary work invalidates the entire process before it even begins.
"An AI cannot correct essential information that the negotiator forgot to give it."
An example of professional instructions to be given to the AI
Proper use of AI is not simply asking, "How much is this house worth?"
The professional must define the mission, the authorized documents, the role of references and how the tool should signal missing information.
Application template to be adapted
Mission: You will be working as a real estate analysis assistant. Your role is to help me prepare a valuation report for a property owner who is selling their property.
Information provided: I will send you the documented characteristics of the property, observations from my visit and references to transactions that I have verified.
Instructions :
- It systematically distinguishes between confirmed information and unverified statements.
- It does not create any transactions, addresses, areas, characteristics, or statistics.
- Examine comparable sales and explain the differences with the property under study.
- It highlights missing information that prevents a robust analysis from being formulated.
- Identifies strengths, weaknesses, and work that could influence value.
- If the data is sufficient, provide an indicative range and detail the assumptions made. Otherwise, explain why you cannot draw a conclusion.
- Distinguishes between probable value, envisaged presentation price and marketing strategy.
- Present the main arguments that I will be able to explain objectively to the owner during the meeting.
- Never present your result as a guaranteed price.
Expected result: a structured analysis, the references used, the uncertainties, the questions to ask and a professional summary understandable by the owner.
Example of an editorial method, not a certification of a tool. Verify the confidentiality conditions before any data transmission.
This way of working invites artificial intelligence to play a critical role. It allows it to respond when it lacks information, instead of pushing it to produce a figure at all costs.
AI can intervene even before the real estate mandate is signed
This is probably one of the most interesting professional applications: using artificial intelligence during the preparation and advisory phase, before any contractual decision.
The negotiator should not wait until they have obtained a mandate to conduct a structured analysis of the property's positioning. This analysis is precisely part of the value of their intervention with the owner.
Before the visit: prepare the right questions
Based on information already known, AI can suggest points to document during the appointment: renovations, diagnostics, easements, condition of the building, surfaces or environmental specificities.
During the appointment: to delve deeper into the discovery
The professional gathers relevant information, listens to the owner's objectives, and compares their statements with observable evidence. Using live AI is neither necessary nor always appropriate.
After the visit: compare the references
The negotiator can use AI to structure the comparison, search for inconsistencies and prepare several positioning hypotheses, based on verified data.
Present the valuation report to the owner
The goal is to make the reasoning understandable: to explain the references, the points of differentiation, the potential demand and the possible consequences of a price too far from the market.
Build a strategy rather than promising a price
The owner remains the decision-maker. The professional's role is to provide them with well-reasoned information to help them choose a coherent presentation and marketing strategy.
AI can therefore enhance preparation for sales meetings. It does not replace visits, listening, or negotiating sales strategies.
A competent professional must also be able to explain why they do not accept the conclusions proposed by the tool when they prove to be incompatible with the findings on the ground.
How can we illustrate to the seller the consequences of an excessive price?
The discussion sometimes becomes delicate when the owner wants an amount much higher than the identified benchmarks.
Let's consider a purely hypothetical situation: the elements studied lead the professional to consider a central indicative value of €800,000. The owner, however, wishes to list his house at €1,120,000.
Example of a hypothetical overvaluation
In this example, the difference represents €320,000. The calculation does not prove that the property is worth exactly €800,000, but it does illustrate the difference between two hypotheses.
AI can help prepare arguments, but it should not be used to pass off a hypothesis as irrefutable proof.
The professional can explain that some buyers filter their searches according to budget ceilings, that competing offers influence the perception of value, and that a long exposure period can lead to a re-examination of positioning.
Conversely, an excessive price reduction can be detrimental to the seller. Therefore, it's not about systematically advocating for the lowest price, but rather a price that is justified.
"Convincing a homeowner isn't about imposing a figure on them. It's about enabling them to understand the potential consequences of their choices."
Presenting an analysis conducted with the help of AI can make the discussion more educational. However, the professional must retain responsibility for the references and conclusions presented.
The more unique a property is, the more precise the information submitted to the AI needs to be
A contemporary villa, a manor house, an equestrian property or a historic estate cannot always be meaningfully assessed using a few standard criteria.
In these markets, architectural heritage, outbuildings, land area, quality of restoration or specific constraints can play a decisive role.
For a manor house, documentary elements may include the origin of the buildings, their condition, the actual habitable areas, the outbuildings, the installations and any obligations related to the preservation of the heritage.
For a seaside villa, it may be necessary to specify the configuration of the land, the view, access, exposure, neighborhood and urban planning restrictions.
For an equestrian property, the nature of the land, the facilities, their condition and their possible compliance are important pieces of information.
The negotiator must also be able to recognize the limitations of available benchmarks. When few truly comparable properties have changed hands, AI should be able to highlight uncertainty rather than construct a misleading average.
In luxury real estate, the accuracy of the information provided does not eliminate the difficulty of the valuation. It primarily allows for a better identification and documentation of this difficulty.
Training negotiators in AI is becoming a professional challenge
Artificial intelligence can now contribute to writing advertisements, preparing market research, presenting the characteristics of a property, and organizing a seller's file.
But using these tools correctly requires more than just mastering a few commands.
We need to learn to control information, recognize uncertain answers, protect personal data and maintain a critical perspective on the conclusions produced.
The CNIL specifically recommends training professional users on the limitations of generative AI systems and ensuring that they do not transmit confidential data to them without appropriate authorization and safeguards.
Ask the right questions
Define a precise mission, transmit documented information and request a structured analysis.
Knowing how to check
Check references, identify errors, and distinguish facts from assumptions.
Explain better
Transforming the results into transparent arguments to support the owner's decision.
A negotiator doesn't need to become an artificial intelligence engineer. However, they must understand what the tool can actually accomplish and what it cannot verify on their behalf.
The arrival of AI can thus change the practices of taking on mandates: more documentary preparation, more structured analyses and a property owner relationship centered on pedagogy.
AI can enhance real estate consulting, provided that judgment is not delegated to it
Artificial intelligence opens up real possibilities for professionals who wish to improve the preparation of their appointments and the quality of the analyses delivered to owners.
It can help to organize the characteristics of a product, to examine market references, to identify inconsistencies and to present different positioning scenarios.
But it is not intended to transform an estimate into a certainty, nor to provide technological justification for an overestimation decided in advance.
The quality of the work always relies on a coherent sequence: collecting the right information, checking references, querying the AI methodically, checking conclusions and explaining uncertainties.
For the real estate negotiator, it is also an opportunity to enhance their role from the very first exchanges with the selling owner, well before the signing of the mandate.
A professional who uses AI judiciously can enrich their argument. Someone who simply copies an automatically generated price will not necessarily have a better estimate.
To continue the discussion
Documentary references
This analysis is based on public and professional resources. The examples of overvaluation and property descriptions are entirely fictitious and do not constitute market statistics.
Information regarding document preparation, diagnostics, valuation and pre-sale steps. Official source.
Professional analysis of the influence of the local market, the characteristics of the property, and the risks associated with an excessive asking price. View the analysis.
Recommendations regarding user training, information verification, and the protection of confidential data. See the recommendations.
Practical guides for businesses on use cases, tool selection, and professional precautions. Access the resources.
The first two parts of the report on the reliability of estimates and methods of using AI are available in the "Further reflection" section.
Author: Crazyswan85. Photograph dated August 14, 2018. Original resolution: 4032 × 3024 pixels. License CC BY-SA 4.0. File and reuse conditions.
Methodological note: The numerical scenarios in this report illustrate possible situations and do not describe specific transactions. No proportion of real estate agents using AI correctly or incorrectly is provided due to a lack of verified representative data.
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