Match every buyer to every seller in your brokerage.
The CRM your brokerage already needs, with the matching engine it doesn't have. Import your book, score every buyer against every listing across 11 signals, and put a Sidekick AI inside the workflow — so agents stop doing the manual work nobody has time for.
Match generated
2.1s ago
Buyer
Jenna Kim
$500–650k · James Island
Seller
142 Pirates Cove
$585k · 3 bed · 1,720 sqft
Assigned: Amanda Parker
+ 13 more matches at 80+
Sonder Home Team runs MatchBridge across their 1,000+ buyer and listing book in Charleston. EXP Realty.
The math
1,000 × 1,000
= a million possible matches.
The average residential brokerage carries 1,000+ active buyers and 1,000+ active listings at any moment. That's a million pairings.
Your agents check, at most, the dozen they remember. The other 999,988 happen in another agent's spreadsheet — or never happen at all.
How it works
Capture once. Match continuously.
Bring your book in.
Drop a CSV — the import wizard maps columns, validates, and commits thousands of buyers and sellers in one pass. Or add records by hand. 30+ fields each, agent-assigned, org-scoped.
Jenna Kim
Buyer · $500–650k · James Island
Brian & Kate Sullivan
Seller · $975k · 512 Royall Ave
David Kim
Buyer · $250–350k · North Charleston
Score every pair. Surface the why.
MatchBridge runs all buyers against all listings on price, city, ZIP, beds, baths, sqft, lot, condition, features, master bedroom level, and timeline — and shows you the breakdown.
Jenna Kim → 142 Pirates Cove
92Sidekick — your in-app matchmaking copilot.
Ask anything about any record. Run matches. Add buyers and sellers in plain English. Get the reasoning behind every score, in the same view as your data.
Why is Jenna a 92 for the Pirates Cove listing?
Strong fit. Price (98) — listing at $585k is mid-range of her $500–650k. Location (100) — exact city match. Bedrooms (95), condition (90), and timeline (100) all aligned. The dip is sqft (88) — she wants 1,800+, listing is 1,720.
Sonder Home Team · Charleston
Every buyer in the brokerage, paired against every listing, every day.
“Quote from Jason at Sonder will live here once we have it on tape — what changed when his team stopped relying on what each agent could remember.
Jason Wang
Founder, Sonder Home Team · EXP Realty
1,000+
Active buyers in book
1,000+
Active listings
11
Match signals
What it replaces
Three tools collapse into one workflow.
Most brokerages run a CRM, a matching spreadsheet, and either an ISA hire or an agent who happens to remember everyone. MatchBridge is all three — with the matching done for you, and an AI copilot reading every record alongside your team.
Your brokerage CRM
Follow Up Boss, Sierra, kvCORE
Track buyers, sellers, listings. Assign records to agents. Manage pipeline.
→ MatchBridge does this. 30+ fields per record, agent assignment, org-scoped, full pipeline view.
Your data import workflow
Manual entry, scattered spreadsheets
Get an existing book of business into the new tool.
→ CSV import wizard. Map columns once, validate, commit thousands of records in one pass.
The matching spreadsheet
The one nobody updates
Cross-reference which buyer fits which listing.
→ Automated. Every buyer scored against every listing across 11 signals — continuously.
The ISA / matchmaker hire
Or the agent who just remembers everyone
Read the leads, match to inventory, brief the closing agent.
→ Sidekick reads the records, runs the match, explains the score. Agents close.
Sidekick
An AI copilot inside the workflow.
No tab-switching. Sidekick lives in the same panel as your buyers, sellers, and matches. Ask anything. Get reasoning, not just results.
Sidekick
conversation · live
Why did Amanda Parker match the Sullivan listing at 92?
Strong on price (98), city (100), and bedrooms (95). Slight dip on sqft — she wants 1,800+, listing is 1,720. Both flexible on timeline.
Find me Charleston buyers under $700k with a flexible timeline.
11 buyers match. Top three by recency: Jenna Kim ($500–650k, James Island), David Kim ($250–350k, North Charleston), Emma Fredeburg ($325–375k, James Island).
Add a new buyer: Jenna Kim, $500–650k, James Island, primary, hot.
Added. 14 matches generated against current listings — top score is 92 (142 Pirates Cove Way).
What changes day one
Your agents stop doing the work they shouldn't be doing.
Stop —Re-reading every buyer's notes before each new listing.
Get back —Sidekick already did. Score and reasoning are waiting.
Stop —Maintaining a private spreadsheet of which buyers fit which listings.
Get back —The match is in the database, scored, with the breakdown visible.
Stop —Manually entering buyers from old CRMs, lead forms, or printouts.
Get back —CSV import wizard. Map columns, validate, done.
Stop —Working in a silo from the agent two desks over.
Get back —Brokerage-wide visibility. Every record. Every match. One book.
Stop —Paying for a CRM, a matching tool, and an outreach platform separately.
Get back —One subscription. One workflow. One source of truth.
See it match your real data.
Twenty minutes. We'll load a slice of your book live on the call and watch matches surface in front of you. No slides.