✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount

AI chatbot for Real Estate 7: answer property questions

SleekAI pulls Real Estate 7's property post type, REAL_HOMES_property_price, _property_bedrooms, _property_size, and the city and status taxonomies so visitors can ask for 3-bed condos under 500k without leaving the search page. Use your own OpenAI, Anthropic, Google, or OpenRouter API key.

♾️ Lifetime License available

SleekAI chatbot for Real Estate 7

Buyers want to filter without filtering

Real Estate 7 ships a decent search UI, but most visitors do not want to set six dropdowns. They want to type "a three-bedroom house in Austin under five hundred thousand with a pool" and see something useful. The data is all there in the property post type with REAL_HOMES_property_price, REAL_HOMES_property_bedrooms, and the property-city taxonomy, but the search form refuses to parse a sentence.

SleekAI gives that sentence a home. The bot reads the property post type the same way the search template does, applies the implicit filters from the visitor's words, and answers with two or three matching listings. When a buyer asks a follow-up like "only the ones with a garage," the bot intersects the property-feature taxonomy and narrows the list.

Generic chatbots cannot do this. They do not know which Inspiry meta keys are prices and which are square footage in feet versus square meters. SleekAI's variable mappings are pre-built for the Real Estate 7 schema, so the bot reads bedrooms, bathrooms, lot size, and listing status without a developer translating each field.

Workflow

How the Real Estate 7 bot works

1

Connect the property data

SleekAI's pre-built Real Estate 7 mapping exposes the property post type, REAL_HOMES meta keys, and Inspiry taxonomies as named variables. No custom code is required for the standard install.
2

Tune the brokerage voice

The system prompt describes your service area, your typical buyer, and the tone the bot should use. Most brokerages start from the included template and adjust two paragraphs.
3

Limit where it loads

Display conditions show the bot on listing archive pages, single property pages, and the homepage hero. It stays off the about-us page and the agent bios where it is not useful.
4

Pipe leads to your CRM

A viewing request triggers a webhook that posts the visitor's contact info and the listing ID into your CRM. The agent picks up the lead from a normal pipeline view.

Try it now

A typical Real Estate 7 conversation

A buyer narrows the field from a wide search to a shortlist of two condos in five turns.

Comparison

Generic chatbot vs SleekAI for Real Estate 7

Generic chatbot

  • Does not know your Real Estate 7 property meta keys exist
  • Cannot count active listings in the property post type by status
  • Ignores the city, status, and feature taxonomies during search
  • Sends visitors back to the search form to refine results manually
  • Cannot tell two similar listings apart when buyers want a balcony

SleekAI chatbot

  • Maps the property post type and Inspiry status taxonomy
  • Reads REAL_HOMES_property_price and bedroom/bath meta
  • Filters by property-city, property-feature, and label
  • Returns 2-3 listings instead of a dump of every match
  • Logs which listings get the most chat questions for follow-up

Features

What SleekAI gives you for Real Estate 7

Listing-aware answers

The bot pulls live data from the property post type and never invents prices or square footage. If a listing sells, status moves to sold, and the bot stops offering it within minutes of the agent updating the post.

Conversational filtering

Visitors type the filters they care about and the bot interprets them as taxonomy and meta queries. Three follow-ups can narrow a 200-listing inventory down to two homes worth a viewing.

Viewing capture

When a buyer is ready, the bot collects name, email, phone, and preferred time, and posts it to the agent's CRM via webhook so a person picks up the next step within an hour.

Use cases

Where the bot earns its keep

Boutique brokerages

Small agencies have a few dozen active listings and no time to staff chat. The bot covers initial qualification so agents only get warm leads with a clear shortlist already in mind.

Vacation markets

Buyers in resort towns search at midnight in another time zone. A bot that answers in their language and currency moves them from browse to booked viewing while staff sleep.

Multi-agent teams

When the bot routes a viewing request, it can include the assigned agent's name pulled from the listing meta so handoff is one click instead of a fresh introduction.

The bigger picture

Why property sites need conversational search

Most property sites assume buyers know which filters they care about before they arrive. They do not. A first-time condo buyer in Austin knows roughly the price band and roughly the neighborhood, and they need a guide to translate the rest of their preferences into the schema your theme expects.

Real Estate 7's search form is honest about how it works, but a multi-step filter form is a friction wall on mobile. A chat replaces the wall with a guided narrowing exercise that feels like talking to a junior agent. The bot does not replace your agents.

It hands them a shortlist with a viewing request already attached, instead of a cold form submission with five unknowns. The math is simple. If a brokerage runs fifty conversations a week and ten turn into qualified viewings, the bot has paid for the model API fee a hundred times over.

The harder math is the math of attention. Buyers who try the bot, get a real answer, and feel respected come back to the same site. Buyers who hit a generic chat that wants their email before showing a single price leave for the next URL in the search results.

SleekAI tips the balance toward the first outcome because the bot has the listings open in front of it the whole time.

Questions

Common questions about SleekAI for Real Estate 7

SleekAI ships with mappings for the standard Inspiry keys including REAL_HOMES_property_price, REAL_HOMES_property_bedrooms, REAL_HOMES_property_bathrooms, REAL_HOMES_property_size, and the property-city and property-status taxonomies. Custom keys can be added with a one-line PHP filter.

 

Yes. If your theme stores price in USD and displays in EUR via a converter, you can expose the converted price as a derived variable. The bot then quotes in the visitor's preferred currency without re-implementing the converter.

 

Display logic filters by the property-status taxonomy so the bot never offers a sold home. When an agent flips a property to sold, the bot updates within one chat refresh, usually under a minute.

 

It can include image URLs in its response and the chat widget renders them. Most agencies prefer a text answer with a single link to the listing detail page where the full gallery lives.

 

Real Estate 7 stores latitude and longitude as postmeta. SleekAI can read those and answer "under 5 miles from downtown" by computing distance in PHP before the model sees the candidate list.

 

Yes. The same property post type handles sale and rent listings, differentiated by the property-action-category taxonomy. SleekAI honors that taxonomy so a renter and a buyer get distinct results.

 

No. The conversation memory keeps the shortlist between turns. A buyer can ask about listing A, switch to listing B, and circle back to A without re-introducing the address.

 

Token usage logs run roughly 1,000 to 3,000 tokens per full chat depending on model and listing count. With gpt-4o-mini that is around 1 cent per buyer. SleekAI shows you the rolling weekly total per bot.

 

Pricing

More than 1000+
happy customers

Explore our flexible licensing options tailored to your needs. Upgrade your license anytime to access more features, or opt for a lifetime license for ongoing value, including lifetime updates and lifetime support. Our hassle-free upgrade process ensures that our platform can grow with you, starting from whichever plan you choose.

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EUR

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  • 3 websites
  • 1 year of updates
  • 1 year of support

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€149

EUR

per year

  • Unlimited websites
  • 1 year of updates
  • 1 year of support

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  • Lifetime updates
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