AI Reputation Benchmarking Tool Development (CRBAI)
Budget: ₹37,500 – ₹75,000 INR
We’re looking for a highly skilled AI developer or team to build Competitive Reputation Benchmarking AI (CRBAI) — a tool that helps hotel owners gain weekly insights into how they compare to their competitors on reviews, keywords, and rankings.
This tool will be integrated into our existing Online Reputation Management (ORM) platform, Cyberweb, and is a crucial step in turning our service into a strategic business intelligence asset.
Core Features Needed:
AI-powered web scraping to pull reviews from selected competitors across major review sites (Google, Booking, TripAdvisor, etc.).
Natural Language Processing (NLP) to identify top 3 strengths and weaknesses by keyword (e.g., “clean rooms,” “slow check-in”).
Sentiment analysis and side-by-side comparison scoring for each keyword theme.
Automated weekly summary report with strategic call-to-action recommendations (e.g., “Improve check-in process, reduce wait time”).
Modular architecture that can later be expanded to medical clinics, retail chains, schools, and real estate.
Why This Matters:
Transforms Cyberweb’s ORM from a passive monitoring tool into a proactive decision-making engine.
Helps our clients directly link reputation to revenue growth.
Positions us as a strategic partner — not just a service vendor.
Ideal Candidate:
Experience with AI/NLP, especially keyword extraction and sentiment analysis.
Strong background in web scraping and data normalization.
Able to build automated reporting pipelines (e.g., PDF, dashboard, or email-based reports).
Familiarity with hospitality tech or review platforms a plus.
Deliverables:
Working AI engine with scraping + analysis capabilities.
Functional report prototype (PDF or dashboard).
Integration plan with our existing Cyberweb platform (API or backend integration).
Documentation and scalability roadmap.
This tool will be integrated into our existing Online Reputation Management (ORM) platform, Cyberweb, and is a crucial step in turning our service into a strategic business intelligence asset.
Core Features Needed:
AI-powered web scraping to pull reviews from selected competitors across major review sites (Google, Booking, TripAdvisor, etc.).
Natural Language Processing (NLP) to identify top 3 strengths and weaknesses by keyword (e.g., “clean rooms,” “slow check-in”).
Sentiment analysis and side-by-side comparison scoring for each keyword theme.
Automated weekly summary report with strategic call-to-action recommendations (e.g., “Improve check-in process, reduce wait time”).
Modular architecture that can later be expanded to medical clinics, retail chains, schools, and real estate.
Why This Matters:
Transforms Cyberweb’s ORM from a passive monitoring tool into a proactive decision-making engine.
Helps our clients directly link reputation to revenue growth.
Positions us as a strategic partner — not just a service vendor.
Ideal Candidate:
Experience with AI/NLP, especially keyword extraction and sentiment analysis.
Strong background in web scraping and data normalization.
Able to build automated reporting pipelines (e.g., PDF, dashboard, or email-based reports).
Familiarity with hospitality tech or review platforms a plus.
Deliverables:
Working AI engine with scraping + analysis capabilities.
Functional report prototype (PDF or dashboard).
Integration plan with our existing Cyberweb platform (API or backend integration).
Documentation and scalability roadmap.