Teenva AI & Digital Ventures builds listing content AI for property portals, brokerages, builders, and channel partners from Bangalore, India. From structured listing data—BHK, carpet area, amenities, location, price, RERA ID—Teenva drafts titles, long descriptions, highlights, SEO meta, and WhatsApp share blurbs with fact validation and editor approval before publish to your portal or MLS feed.
Thin copy hurts SEO and trust; generic ChatGPT invents metro stations and square footage. Teenva generates from your attribute schema and brand voice profiles—feeds property recommendation with richer embeddings, while recommendation decides who sees each listing.
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Listing content AI—fact-checked property copy, batch generation, and CMS/portal publish workflows.
Hub: AI solutions · Domain: Real Estate
Content types we generate
| Asset | Source fields | Guardrails |
|---|---|---|
| Listing title | BHK, project, locality, price band | Length limits per portal |
| Short description | Highlights bullet list | No unverified sea view |
| Long description | Amenities, floor, facing, society | Tone profile per brand |
| SEO meta | Title, description, H1 suggestion | Keyword brief optional |
| Amenity narrative | Club, pool, security list | Only listed amenities |
| Builder project page (scoped) | Master plan facts, phases | Legal-approved claims only |
| Brochure paragraph (scoped) | PDF fact sheet ingest | Designer drops in layout |
| WhatsApp share line | Top 3 facts + CTA link | Character limit |
| Hindi variant (scoped) | Approved EN master | Human review for ads |
Not generated: legal advice, guaranteed appreciation, unverified possession dates—those stay in your compliance templates.
Fact safety & brand controls
| Control | Implementation |
|---|---|
| Schema-bound generation | Numbers (sq ft, price, floor) from API/CSV only |
| Banned claims | 100% returns, unapproved superlatives |
| RERA / possession | Insert only if present in data fields |
| Duplicate detection (scoped) | Flag near-copy across listings |
| Tone profiles | Luxury, mass market, rental, commercial |
| Approval workflow | Agent or marketing lead publishes |
| Version history | Roll back when price changes |
| Eval harness | Area in text must match carpet_sqft field |
Similar governance to AI content generation—real-estate schema instead of generic blogs.
Features we implement
- Single-listing composer — Paste unit ID → draft all fields
- Bulk CSV / API batch — 500 units for new tower launch
- Portal API publish — Push approved JSON to listing service
- Regenerate on change — Price drop → refresh title + meta
- Image alt text (scoped) — From photo tags + unit facts
- Internal link suggester (scoped) — Locality guide pages on portal SEO
- Agent assist (scoped) — Improve weak manual descriptions
- Plagiarism check (scoped) — vs portal corpus
- Embed in proptech — SaaS listing admin
- Marketing export — Feed social media AI snippets
Architecture
Listing record (CRM, builder ERP, CSV)
Validation (required fields, enums)
Template + LLM fill (tone, SEO keywords)
Fact check rules → flag mismatches
Editor approval UI
Publish → portal / aggregators / PDF export
Optional → embedding refresh for property recommendation
Use cases
| User | Workflow |
|---|---|
| Portal ops | Bulk onboard new society inventory |
| Broker marketing | Polish agent-uploaded thin listings |
| Builder launch | Phase 2 tower descriptions in one night |
| Channel partner (scoped) | Co-branded copy blocks |
| Rental operator | Furnished flat variants from master template |
| Commercial (scoped) | Seat count, parking, lease type narratives |
India listing conventions
| Field | Copy behavior |
|---|---|
| Carpet / built-up | Both shown when available; never swap |
| ₹ pricing | ₹ 1.15 Cr from numeric field—not rounded by LLM |
| Locality + city | Consistent with geo taxonomy |
| BHK + baths | Match integer fields |
| Maintenance / deposit (rent) | Pull from rent-specific columns |
| RERA number | Include only when rera_id populated |
Wrong square footage kills trust and compliance. We bind copy to listing schema—then let marketing tune tone, not facts.
Listing content vs property recommendation
| Product | Focus |
|---|---|
| Listing content AI | Write titles & descriptions |
| Property recommendation AI | Rank who sees which listing |
| AI content generation | General marketing—not listing schema |
Why Teenva AI
Portal + copy together
Business websites and content studioBatch at launch scale
New phases without 50 copywritersRecommendation-ready
Better text improves search and match quality with property recommendationGoverned LLM
Evals on numeric facts; not publish-blindIndia market
Cr/Lac, BHK, RERA field awareness
Delivery process
Discovery
Listing schema, portals, tone, compliance phrases
Field mapping
Required vs optional; enums for amenities
Template design
Rent vs sale; luxury vs affordable
Pilot 50 listings
Agent edit time vs manual baseline
Fact eval suite
Automated checks on area, price, BHK
Approval roles
Agent vs central marketing
API publish
Staging then production portal
Bulk launch
Builder phase go-live
Maintain
Regenerate rules on price/status change
Explore
Frequently asked questions
Default no—marketing/agent approves; staging auto OK (scoped).
Blocked—only attributes in listing record; flags if copy drifts.
Yes—CSV/API batch with queue and error report per row.
From approved English or direct Hindi with human QA (scoped).
Meta + internal links to business website guides (scoped).
Write vs rank—use both for launch velocity and conversion.
Use your disclaimer snippets only; bot refuses open-ended guarantees.
Yes via custom software or API integration.
Enhance mode rewrites from extracted facts + original as hint (scoped).
6–10 weeks MVP—composer, fact checks, approval, API publish for one listing type.
Related real estate AI solutions
Build your listing content studio
Fact-checked property titles, descriptions, and SEO meta—from listing data to approved publish.
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