AI agency for real estate agencies in Logroño
Done: this is what your client sees today
Area read from your website: Sitges
Buyer enquiry · 23:47
Hi, is the Terramar villa still for sale? I'd like to see it on Saturday.
- 23:47Another estate agencyYes, it's available. Does Saturday at 11:00 suit you?
- Tomorrow, 10:12youragency.comNo reply until the office opens
Until you reply
10 h
and the buyer already has a viewing with another agency
The other agency
1 min
with a viewing proposed
Illustrative example with a website from Sitges. Your check measures your position on Google Maps and whether AI names you.
Until you reply
10 h
and another agency replied within a minute
Is the villa still for sale? I'd like to see it on Saturday.
- 23:47Another estate agency
- 10:12youragency.com
Illustrative example with a website from Sitges. Your check measures your position on Google Maps and whether AI names you.
Real estate agencies that have worked with Landing Agency: Lucas Fox, Kensington, Person Inmobiliaria, Olisson Club, Macenas, MG Grupo Inmobiliario, Tierra Meridiana, Max Ricart, Grandiora, Corredor Mató, Menorcasa and Stipek Farrés.
Respond in time without letting a machine promise on your team's behalf
An assistant can sort questions and draft replies while the office is showing homes. It works only when it reads current data, recognises what it does not know and hands the conversation to a person before confirming viewings or terms.
Replies at 23:47
Your assistant replies straight away, by chat, WhatsApp or phone, in the language of the person writing, and proposes a viewing.
Your team in charge
The assistant answers with what you teach it and hands over to a person anything it doesn't know or anything that has become a deal.
You know what it has brought in
Every month we tell you how many contacts it has handled, how many viewings it has booked and how much work it has taken off your team.
In Logroño an assistant should know your portfolio, not pretend to know the market
Someone may ask whether a home in Los Lirios is still available or whether the office values flats in the Casco Antiguo. The system needs to read the right source and distinguish a checked answer from a guess. Before connecting an assistant to visitors, we define which fields it may consult, which it may use in a reply and which questions go to the team.
AI can save time by classifying messages, summarising an enquiry or suggesting a first listing draft. It does not replace commercial decisions or review of property facts. If current availability, price or terms cannot be found, it should say so and offer human contact. The aim is for the office to respond better, including while several viewings are under way, without creating appointments nobody can keep.
Answers tied to a source that stays current
We connect questions to approved catalogue data and define when it refreshes. A reserved home should not be described as available for viewing. We test missing information, similar neighbourhood names and questions beyond the assistant's scope. It expresses uncertainty and hands off to the office when no verified answer exists.
Contact classification without deciding for the agent
The system can note whether someone asks about buying, selling or valuation, the named area and their preferred contact route. The CRM receives that context so the right person can respond. It does not automatically discard unusual needs or assign an irreversible sales priority without review.
Ad and listing drafts with mandatory review
Using confirmed features, the tool prepares an initial description or an answer to a common question. An estate agent checks floor area, condition, image permissions and tone before publication. If a fact is missing, the draft leaves it as a question rather than filling the gap with a plausible feature.
Testing, privacy and a route to a person
We review which personal details enter the system, who can access them and how long they are kept. We test difficult conversations, supported languages and CRM connection failures. The interface identifies the assistant and offers a visible way to write or speak to the team. Errors are recorded for correction.
A local name helps only when the inventory supports it
These municipal neighbourhoods help test whether the tool consults the correct area. The office confirms where it works:
- Casco AntiguoIf asked for a Casco Antiguo valuation, the assistant explains the office's process and records the enquiry. It does not give a price without knowing the home.
- Madre de DiosA Madre de Dios question is matched with listings assigned to that area. If none are available, it says so and offers to connect the visitor with the team.
- Los LiriosFor Los Lirios, the current status of each home is checked before suggesting a viewing. The assistant does not use an outdated listing as its source.
- VareaWhen someone mentions Varea, the system must recognise the name and avoid confusing it with another area. Property terms are checked by the office.
- CascajosA Cascajos enquiry can be summarised for an agent with the home, question and preferred reply route. Personal data follows the agreed procedure.
- El CuboIf there is no portfolio in El Cubo, the tool does not invent listings. It may explain the agency's service there only when the office has confirmed it.
- ValdegasteaThe assistant separates someone seeking a Valdegastea home from an owner hoping to sell. Each path reaches the responsible team member.
We already do it for agencies like yours
Real estate agencies that have worked with Landing Agency: Lucas Fox, Kensington, Person Inmobiliaria, Olisson Club, Macenas, MG Grupo Inmobiliario, Tierra Meridiana, Max Ricart, Grandiora, Corredor Mató, Menorcasa and Stipek Farrés.
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How Corredor Mató multiplied its potential clients by five
×5,3
potential clients a month, from 7 to 37
Corredor MatóCosta BravaView case study of Corredor Mató -
How Grandiora multiplied property-owner enquiries by five
×5
property-owner enquiries in 12 months
GrandioraBarcelona and the MaresmeView case study of Grandiora -
How MG became the first Google profile in Barcelona's uptown
×1,9
visits a month from their Google profile, from 116 to 224
MG Grupo InmobiliarioBarcelonaView case study of MG Grupo Inmobiliario
What people say about us on Google
Unedited: these are public reviews from our Google profile. You can read them all.
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★★★★★
An exceptional real estate marketing agency
We are really satisfied with this agency's work. They are a young, dynamic team with a level of professionalism you notice from day one.
CP Carles Planas5 reviews -
★★★★★
Committed to results
Working with this agency on our paid media campaigns has been a very positive experience. We have been working together for several months now and from the start they have shown a high level of professionalism and commitment to results.
JR Jesús Rguez4 reviews -
★★★★★
Winning apartment listings with Ads
I have been investing in Ads with Landing Agency for a few months to win apartment listings. The truth is the result has been very good, and above all the follow-up from the team. 100% recommended.
AH Arturo HernándezLocal Guide · 43 reviews
And this is how Google sums up the rest:
- “Very serious and they monitor the work regularly.”
- “Very good service and very good people.”
- “We are really satisfied with this agency's work.”
Near Logroño
If the agency serves Arnedo or Calahorra, connections need data and responsible staff for each town. The tool does not extend Logroño coverage by itself:
- Arnedo
- Calahorra
Other services in Logroño9 services
Frequently asked questions about AI for estate agencies in Logroño
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Only if connected to a reliable calendar and the office defines which slots may be offered. We test bookings, changes and failures before allowing confirmations. If the result is uncertain, it records the request for a person to answer.
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It should check the current status and say that the home is unavailable. It can offer relevant alternatives if they exist or pass the enquiry to an agent. It does not promise a viewing of a home marked sold in the catalogue.
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Specific languages can be configured and every path tested. We do not promise good service in any language by default. Property details and a route to the team need the same quality in each offered language.
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No. It drafts from verified data; the agency checks facts, images and terms before publishing. This matters particularly when information is missing or a feature is hard to verify.
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A maintained property source, approved common answers, named staff responsible for follow-up and clear rules for personal data. We start with a small scope and measure errors and handoffs before adding functions.
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We compare response time, questions answered without error and those that became useful team conversations. We also review failures and corrections. AI for estate agencies is adjusted using those observations, not the number of messages sent.
