A specific, bounded system beats a confident guess. Here's the design choice behind APN, spelled out.
Tell the APN AI Agent your budget and priorities to explore available homes that fit your needs.
✔ Reviewed · updated 20 Sep 2026One kind is a general chatbot that will answer almost any question about property, anywhere, by generating a plausible-sounding response from its training data. It can be useful for general explanation, but it has no way to know whether a specific listing still exists, what a specific agency is currently asking for a specific unit, or whether a market figure it states is current, sourced, or simply a reasonable-sounding guess.
The other kind — what APN builds — is a matching system constrained to a specific, live dataset: the listings and requests inside its partner agency network, and its own published, dated market statistics. It cannot answer questions outside that dataset, and it is built to say so rather than improvise. The trade-off is narrower scope for more reliable answers within that scope.
Criteria are compared against live partner-network listings and requests, not a general knowledge base. A result exists because a partner agency actually holds that listing.
Answers cite the specific dataset and its "as of" date. If no dataset covers a question, the tool says so instead of estimating.
Every match ends with an introduction to a partner agency. The AI narrows the field; a person handles the transaction.
For search and matching, no — it works against the partner network's own listings and requests. For market intelligence, it works against APN's own published, dated datasets, not general web data.
A general chatbot can explain concepts well but can't confirm whether a specific listing still exists or whether a market figure is current and sourced. APN's tools are narrower by design so their answers can be tied to real, current data.
The partner agencies that share listings and requests through APN, matched by criteria rather than each buyer having to contact every agency separately. See how APN works for the full flow.
It's a similar idea — pooled inventory across multiple agencies — but scoped to APN's partner network in Alanya and Antalya rather than a regional or national regulatory MLS system.
By constraining each tool to a specific dataset it can verify, and by design, stating when a question falls outside that dataset instead of estimating an answer.
It can only answer with real, sourced data for the markets it currently covers. See the cities page for what's live now and what's coming.
No. It narrows listings and requests by criteria; a partner agency and the buyer or seller handle the actual transaction and decision.
Listings and requests reflect what partner agencies currently have active. Published market statistics carry their own update dates, shown on each data page.
APN's own team, working directly with the partner agency network rather than through a third-party AI platform.
See the AI Advisor hub for property search, property matching and market intelligence, each explained on its own page.
Submit your criteria and get matched with listings across the partner network.
See propertiesUpdated 28 September 2026
Partner offices contribute neighbourhood knowledge, property access and in-person service. A shared system can compare more areas and property types, route buyers to the relevant office and reduce gaps between lead intake, viewing and follow-up. Coverage depends on real partner inventory and service capacity.
A seller submits details and photos; Hermes performs an initial price screening; a CRM manager reviews the file before it is approved for routing to partner agencies and the buyer agent. Price must be assessed against similar dated properties, condition and location. A two-step review raises the bar for what is suggested but does not guarantee a bargain or a transaction.
The APN Agent asks buyers targeted questions and matches them against reviewed available listings. Rejection feedback updates the preference profile. Human colleagues arrange viewings, negotiate and handle the stages that need local professional attention. Shared CRM states help the network keep track of a larger number of conversations.
As the network adds capable offices and reviewed files, it can serve more Alanya areas without requiring every individual office to stock every type of home. Questions about documents, viewing, handover and ongoing services should be routed to the responsible specialists. The exact support available for a transaction must be established with that team.