CrediVibeGN

AI credibility scores tailored for Guinea online shops

Score: 6.4/10GuineaMedium Build
Brand Colors

The Opportunity

Problem

Guinean e-commerce businesses must invest heavily in building credibility because shoppers hesitate to buy online due to past scams and product quality issues.

Solution

CrediVibeGN scans seller socials, reviews, and local listings to generate a 0-100 trust score widget. Display scores on sites to assure shoppers of quality. Update scores automatically with new data sources.

Target Audience

E-commerce businesses and online sellers targeting shoppers in Guinea

Differentiator

AI trained on Guinea-specific scam patterns and local platforms like Jumia Guinea

Brand Voice

friendly

Features

Trust Score Calculation

must-have25h

AI aggregates social proof, reviews into score

Score Widget Embed

must-have15h

Dynamic badge showing score + breakdown

Auto Data Scan

must-have20h

Crawl FB, WhatsApp business, local sites weekly

Score Improvement Tips

must-have12h

Dashboard advice to boost score

Performance Tracker

must-have10h

Monitor score impact on traffic/conversions

Manual Evidence Upload

nice-to-have8h

Add proofs to influence score

Competitor Score Compare

nice-to-have7h

Benchmark against other sellers

Score Alerts

nice-to-have5h

Email if score drops

Total Build Time: 102 hours

Database Schema

users

ColumnTypeNullable
iduuidNo
emailtextNo
social_linkstextYes
created_attimestampNo

Relationships:

  • one-to-many with scores

scores

ColumnTypeNullable
iduuidNo
user_iduuidNo
scoreintNo
data_sourcestextYes
calculated_attimestampNo

Relationships:

  • foreign key to users.id

tips

ColumnTypeNullable
iduuidNo
score_iduuidNo
tip_texttextNo
priorityintNo

Relationships:

  • foreign key to scores.id

API Endpoints

POST
/api/scan

Trigger AI score calculation

🔒 Auth Required
GET
/api/scores/current

Fetch latest score and widget

🔒 Auth Required
GET
/api/tips

Get improvement recommendations

🔒 Auth Required
GET
/api/public/score/:id

Public score display

Tech Stack

Frontend
Next.js 14 + Tailwind + shadcn/ui
Backend
Next.js API routes + Supabase Edge Functions
Database
Supabase Postgres
Auth
Supabase Auth
Payments
Stripe
Hosting
Vercel
Additional Tools
OpenAI API for scoringCheerio for scraping

Build Timeline

Week 1: Setup and auth

20h
  • Auth
  • DB
  • Basic landing

Week 2: AI scoring engine

35h
  • Scan logic
  • Score calc

Week 3: Widget and dashboard

25h
  • Embed widget
  • Tips generator

Week 4: Analytics and auto-scan

20h
  • Cron scans
  • Tracker

Week 5: Payments integration

15h
  • Stripe
  • Tier limits

Week 6: Test and deploy

10h
  • QA
  • SEO
  • Launch

Week 7: Polish nice-to-haves

8h
  • Alerts
  • Compares

Week 8: Buffer

5h
  • Final tweaks
Total Timeline: 8 weeks • 138 hours

Pricing Tiers

Free

$0/mo

Monthly scan only

  • Basic score
  • 1 widget

Pro

$40/mo

None

  • Weekly scans
  • Unlimited widgets
  • Tips + analytics

Enterprise

$99/mo

None

  • Daily scans
  • Custom AI
  • API
  • White-label

Revenue Projections

MonthUsersConversionMRRARR
Month 11802.5%$180$2,160
Month 69007%$2,520$30,240

Unit Economics

$10
CAC
$350
LTV
6%
Churn
82%
Margin
LTV:CAC Ratio: 35.0xExcellent!

Landing Page Copy

Prove Your Shop's Credibility with AI Scores

Automatic trust signals for Guinea shoppers who demand proof

Feature Highlights

AI-powered scoring
Easy widgets
Actionable tips
Auto-updates
Proven sales boost

Social Proof (Placeholders)

"'Score 92, sales +30%!' - Conakry Shop"
"'Reliable and local.' - User"

First Three Customers

Target Jumia Guinea sellers via LinkedIn/FB ads ($50 budget), DM 50 with free score audits, convert via personalized reports showing potential uplift.

Launch Channels

Product Huntr/SaaSTwitter #AfricanSaaSHacker News

SEO Keywords

guinea ecommerce credibility scoretrust score online shop guineaai seller rating guineaboost shop trust guineaguinea ecom ai verification

Competitive Analysis

$59/mo
Strength

Social proof widgets

Weakness

No AI scoring or local data

Our Advantage

Guinea-tuned AI + free scans

🏰 Moat Strategy

Data moat from aggregated Guinea seller signals improving AI accuracy

⏰ Why Now?

AI accessibility + Guinea internet users hitting 50%, ecom exploding

Risks & Mitigation

technicalmedium severity

Scraping blocks

Mitigation

API fallbacks + proxies

marketlow severity

Sellers ignore scores

Mitigation

Case studies in onboarding

executionmedium severity

AI accuracy low initially

Mitigation

Manual overrides + feedback loop

Validation Roadmap

pre-build7 days

Run scores for 30 sellers manually

Success: Correlates with sales feedback

mvp14 days

10 beta users track uplift

Success: Avg 10% conv increase

launch7 days

Waitlist conversion

Success: 50% convert

Pivot Options

  • General social proof tool
  • Buyer-side scam detector
  • Pan-Africa expansion

Quick Stats

Build Time
138h
Target MRR (6 mo)
$2,500
Market Size
$2.0M
Features
8
Database Tables
3
API Endpoints
4