RepMonitor.Site converts shopping center site plans into living tenant rosters and continuously monitors reputation across Google, Yelp, Apple Maps, and Facebook — at the property and portfolio level.
Unifies signals across the listings your tenants actually live on
The workflow
Every step is purpose-built around how owners actually receive, store, and act on site plan and reputation data.
Upload a PDF, PNG, JPG, TIFF, or paste a leasing-brochure URL. We version every revision and monitor source URLs for changes.
OpenAI Vision reads the plan: suites, square footage, vacancies, anchors, outparcels, multi-building layouts — reviewable in one screen.
Each tenant is reconciled against Google, Yelp, Apple Maps, Facebook, and its official site with high/medium/low confidence scoring.
Ratings, review velocity, response rates, listing accuracy, and AI-detected operational themes — refreshed continuously.
Platform capabilities
Vision AI identifies suites, anchors, vacancies, outparcels, and multi-building layouts with a human-review accept/edit step.
Continuous diff against uploaded files and leasing URLs surfaces move-ins, move-outs, rebrands, demising, and combinations.
Every tenant matched to GBP, Yelp, Apple Business Connect, and Facebook with NAP accuracy and presence checks.
Topic detection across parking, safety, lighting, cleanliness, staffing, and 9 more themes — with sentiment and trend.
Rank centers by reputation, occupancy, and operational risk against peers by region and asset class.
AI-written, board-ready briefings per property and portfolio — exportable to PDF, Excel, and leasing decks.
Property dashboard
Occupancy, reputation score, active alerts, listing accuracy, and AI-prioritized actions — in one executive view per property.
This center's reputation would slip several points after recurring lighting and safety complaints concentrated near the anchor lot, with two detected suite changes and one tenant trailing peers. RepMonitor surfaces the pattern and recommends a lighting audit and targeted tenant outreach.
AI review intelligence
Sentiment, topic, and trend analysis across 14 operational categories — from parking and lighting to staffing and wait times — at tenant and property level.
Complaints ↑ 38%
Risk: night safety
Stable, 4.5★ avg
Trend improving
1 listing mismatch
On target
Portfolio reporting · example view
A portfolio reputation score, peer benchmarking, and prioritized alerts — sized for institutional ownership and third-party managers. The table below is an illustrative layout; sign in to load your real portfolio.
| Property | Market | Occupancy | Rep. Score | 30d Trend | Alerts |
|---|---|---|---|---|---|
| Center A — grocery-anchored | Sun Belt | 92.8% | 87 | +2 | 3 |
| Center B — power center | Mountain West | 96.2% | 91 | +4 | 1 |
| Center C — lifestyle | Southeast | 84.0% | 72 | -3 | 6 |
| Center D — mixed-use | Pacific Northwest | 98.1% | 94 | +1 | 0 |
| Center E — community | Texas Triangle | 78.5% | 68 | -5 | 9 |
Start with one property or onboard an entire portfolio. We'll ingest your site plans and stand up reputation intelligence in days, not quarters.