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Apto

Imóveis novos à venda

Category
Pending
Primary Subcategory
Pending
View in the ChatGPT registry
Integration details

Description

A brand-new home has something no other home does: nobody has lived in it yet. Apto covers new construction across more than 300 Brazilian cities — off-plan, under construction, or move-in ready, bought straight from the developer. Ask the way you'd say it out loud — "2-bedroom in Vila Mariana under R$800,000", "something near a subway station in Curitiba", "move-in ready with a balcony" — and see the options side by side, with photo, size, parking, construction stage and price. Asked for 3 bedrooms? The price on the card is the 3-bedroom price, not the cheapest studio in the building. And if the unit you want runs above your budget, the app says so right away instead of letting you find out three clicks later. Before booking a visit, check the floor plans with per-unit pricing, the building amenities, what's nearby and the photos. When one clicks, open the full listing on Apto.

Integration type
Plugin
Verification status
Not applicable
Platform
ChatGPT
Category
Pending

The broad Category that contains the Primary Subcategory.

Primary Subcategory
Pending

The Primary Subcategory used for this profile’s headline score.

Secondary Subcategories
None listed

Other Subcategories where the Integration is listed.

Brand
Unknown
Access
No account required
First tracked
2026-09-23
Tool count
5
Geography
US

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What discovery looks like

ChatGPT recommends Airtable when a user asks it to update a CRM.
ChatGPT surfaces Airtable because it matches the user's request.
Primary Subcategory

Competitive lineup

No Primary Subcategory assigned yetOnce Apto has a Primary Subcategory, the Plugins and Connectors it competes with will appear here with their scores.
Recommended guideThe Complete Guide to ChatGPT Plugin DiscoverabilityFollow the practical steps agents use to find, shortlist, and choose your Plugin.Read guide
Tools

5 tools agents can invoke

Apto FAQ
How do I improve a ChatGPT Plugin's discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.