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Use case

Flocci Chat for real estate and property websites

Short answer

Property enquiries arrive late at night and go to whoever replies first. Flocci Chat reads your listing, project and amenity pages and answers price, size, possession, location and documentation questions instantly with the source cited — then captures the enquiry and hands the serious buyer to your sales team as a ticket with the whole conversation attached.

Speed decides who gets the site visit

A buyer comparing four projects at 11pm sends the same three questions to all four. The first useful reply usually wins the site visit. An assistant that answers from your actual listing pages — configuration, carpet area, price band, possession timeline, distance to the metro, what the maintenance covers — is the difference between a captured enquiry and a competitor's Sunday appointment.

Listing pages are dynamic; that is the point

Property portals render listings from a database, often client-side, with filters and infinite scroll. A crawl-only chatbot frequently indexes the filter shell and nothing else. Flocci Chat learns each listing page as a visitor renders it, so the inventory that people actually browse is the inventory the assistant knows — and when a unit is sold or a price changes, the next visit updates the index.

Grounded answers matter more here than anywhere

Price, area and possession dates are commitments, not marketing copy. The assistant answers only from your published pages and shows which page it used, so a buyer can verify in one click. Anything it cannot ground — negotiation, loan eligibility for a specific buyer, legal documentation questions — becomes a clarifying question or a handoff to your sales desk rather than an invented number that reappears in a conversation later.

Enquiries that arrive complete

When a conversation turns serious, the widget captures the visitor's contact details once and opens a ticket carrying the full transcript and the listing page they were reading. Your team calls back knowing the project, the configuration and the objection. If you run a CRM with an API, that same escalation can be an agentic action against your own endpoint instead — and with verified identity, returning buyers can ask about their own booking status directly.

Frequently asked questions

Can it answer questions about specific properties or units?

Yes, from your published listing pages — configuration, area, price band, possession timeline, amenities and location. It cites the listing it used, and it will not quote a number that is not on your site.

Will it capture leads or just answer questions?

Both. When a conversation escalates the widget asks for contact details once per session and opens a ticket with the full transcript and the page the visitor was reading, so your sales team calls back already briefed.

Our listings change daily — will it go stale?

No re-sync schedule is involved. Each page is re-learned the next time a visitor opens it, keyed on a content hash, so price changes and sold units flow into the index through ordinary traffic.

Can it help with home-loan questions?

It answers what your site documents — typical bank tie-ups, documentation lists, published EMI illustrations — and cites the page. Eligibility for a specific buyer is a conversation for your team, so those questions escalate rather than being guessed at.

Try it on your own website

One script tag. 500 free credits — roughly 500 answered visitor messages. Every feature on, no card. The widget in the corner of this page is the product, running on its own site.

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