"Apartment for rent Almadies", "villa for sale Cocody Abidjan", "furnished studio Plateau Dakar" — these queries represent 180,000+ combined monthly Google searches. Yet most African agencies still operate via WhatsApp + word-of-mouth, missing 90% of the digital market.

TL;DR

- Listings portal + filters + pro photos = +250% mandate requests.

- 2026 stack: Next.js + Strapi + Algolia search + WhatsApp lead capture.

- 6-9 months to Top 3 Maps + 50K monthly visits in major cities.

Real estate portal architecture

`

[Visitor] → [Home page with powerful search]

↓

[Filtered listings: type / district / budget]

↓

[Property page: 15-25 photos + plan + location + virtual tour]

↓

[CTA: visit, quote, direct agent contact]

↓

[WhatsApp + email lead capture]

↓

[Auto agent assignment + CRM tracking]

`

Step 1 — data model (Prisma)

`prisma

model Property {

id String @id @default(cuid())

slug String @unique

reference String @unique

title String

type PropertyType

transaction TransactionType

price Int

currency String @default("XOF")

surface Int?

bedrooms Int?

bathrooms Int?

city String

district String

address String?

latitude Float?

longitude Float?

description String

features String[]

images Image[]

status PropertyStatus

agentId String

agent Agent @relation(fields: [agentId], references: [id])

views Int @default(0)

createdAt DateTime @default(now())

@@index([city, district, type, status])

@@index([transaction, price])

}

model Image {

id String @id @default(cuid())

propertyId String

property Property @relation(fields: [propertyId], references: [id])

url String

caption String?

order Int

}

model Agent {

id String @id @default(cuid())

name String

phone String

whatsapp String

email String

photoUrl String?

bio String?

properties Property[]

}

`

Step 2 — powerful Algolia search

`tsx

'use client';

import { InstantSearch, SearchBox, Hits, RefinementList, RangeInput } from 'react-instantsearch';

import algoliasearch from 'algoliasearch/lite';

const client = algoliasearch(

process.env.NEXT_PUBLIC_ALGOLIA_APP_ID!,

process.env.NEXT_PUBLIC_ALGOLIA_SEARCH_KEY!

);

export default function SearchPage() {

return (

);

}

`

Algolia: $0 up to 10K monthly searches, $50/100K beyond. Essential for fast search experience.

Step 3 — SEO-optimized property page

`tsx

export async function generateMetadata({ params }) {

const property = await getPropertyBySlug(params.slug);

return {

title: ${property.title} - ${property.district}, ${property.city},

description: ${property.type} of ${property.surface}m² for ${property.transaction === 'SALE' ? 'sale' : 'rent'} in ${property.district}, ${property.city}. Price: ${property.price.toLocaleString()} ${property.currency}.,

openGraph: {

images: property.images.map(i => ({ url: i.url })),

},

};

}

export default async function PropertyPage({ params }) {

const property = await getPropertyBySlug(params.slug);

return (

);

}

`

Step 4 — Schema.org RealEstateListing

`json

{

"@context": "https://schema.org",

"@type": "RealEstateListing",

"name": "Modern 4-bedroom villa Almadies",

"description": "Contemporary 280m² villa with pool...",

"url": "https://kolonell.com/properties/villa-almadies-12345",

"image": ["https://...jpg"],

"datePosted": "2026-05-15",

"address": {

"@type": "PostalAddress",

"streetAddress": "Almadies",

"addressLocality": "Dakar",

"addressCountry": "SN"

},

"geo": {

"@type": "GeoCoordinates",

"latitude": 14.7440,

"longitude": -17.5095

},

"numberOfRooms": 4,

"floorSize": {

"@type": "QuantitativeValue",

"value": 280,

"unitCode": "MTK"

},

"offers": {

"@type": "Offer",

"price": "385000000",

"priceCurrency": "XOF",

"availability": "https://schema.org/InStock"

}

}

`

Step 5 — instant WhatsApp lead capture

`tsx

export function AgentCard({ agent, property }) {

const message = encodeURIComponent(

Hello ${agent.name}, I'm interested in "${property.title}" (ref ${property.reference}). Can you arrange a visit?

);

return (

);

}

`

Step 6 — new listing alerts

When a client searches "4-bedroom villa Almadies" and no property matches:

`tsx

🔔 Get a WhatsApp alert when a matching property is listed

`

Store query + criteria, then nightly cron matches new properties and notifies via WhatsApp/email.

Real case — Dakar real estate agency

Common pitfalls

• Amateur photos — first impression critical. 80-150K XOF in pro photographer for 30+ properties = immediate ROI.
• No virtual tour — Matterport or even smartphone 360° boosts engagement +40%.
• No mobile optimization — 75% of real estate searches are mobile.
• Unmaintained listings — sold property still listed = instant trust loss.
• No lead scoring — auto-assign leads to the right agent by district expertise.

FAQ

Q: Publish exact prices?

A: Yes for rent. For sale: "from" or range OK, but hiding = -45% requests.

Q: How to prevent competitor scraping?

A: Photo watermark + API rate limit + Cloudflare Bot Fight Mode. Don't expose too much in XML feed.

Q: Local Senegal/CI MLS integration?

A: No unified MLS in Francophone Africa in 2026. Strategy: clean portal + partnerships with other agencies for cross-exclusives.

Conclusion

A digital real estate agency in 2026 is no longer optional. 4-8M XOF initial investment for clean portal + pro photos + Algolia search. 6-12 month ROI on average volumes. Ideal time to start = before competitors.