What it does
What multi-offer analysis software actually does
For most listing agents, multi-offer day is the worst kind of busy — five PDFs, two escalation clauses, a backup waiting in the wings, and a seller calling for an answer before dinner. Multi-offer analysis software replaces the spreadsheet rebuild and the back-of-envelope math with a parser that reads every offer in seconds, extracts every material term, and ranks the stack against the priorities you set for that specific seller.
ShowSmartly's multi-offer analysis software starts with structured extraction: price, earnest money, financing type, lender, contingencies and their windows, escalation caps, close-of-escrow date, possession terms, and any concession requested by the buyer-side agent. From there it computes net to seller, weighs financing type and strength (cash, conventional, FHA/VA) and contingency windows, and applies your seller's weighting — quick close, top dollar, certainty, cash, rent-back, or clean offer. The output is a ranked list with plain-English commentary on every offer, explaining why it landed where it landed.
What good multi-offer analysis software does not do is decide for you. It surfaces tradeoffs, flags risks, and gives the seller a one-page summary they can actually read — but the recommendation stays with the agent. That distinction is the whole point: faster intake, sharper structure, your fiduciary judgment intact.
The inputs
The 7 inputs that change a ranking
Every term that actually moves the deal — and how the AI treats it.
| Input | What the AI extracts | How it's weighed |
|---|---|---|
| Price | Offer amount, earnest money, net to seller after concessions | Compared against list, comps, and the seller's stated price floor |
| Financing | Loan type (cash, conv, FHA, VA, USDA), lender, pre-approval strength | Weighs financing type and strength (cash, conventional, FHA/VA) and contingency windows |
| Contingencies | Inspection, appraisal, financing, sale-of-home, and their windows | Each contingency lowers certainty score; shorter windows raise it |
| Escalation clauses | Cap, increment, proof-of-offer requirement | Calculates effective price at each competing-offer scenario |
| Closing timeline | Close-of-escrow date, possession terms, rent-back | Compared against the seller's preferred close date |
| Buyer-agent compensation | Requested concession amount and structure | Surfaced as a net-to-seller adjustment, not a ranking factor |
| Cash vs financed | Cash, financed, or hybrid (cash + financing fallback) | Cash earns a certainty premium; hybrid is flagged for review |
vs. Spreadsheets
Stop rebuilding the same comparison every listing
Purpose-built multi-offer analysis software replaces the spreadsheet you rebuild from scratch every listing — with structured extraction, automatic weighting, and a share-ready output on the other side.
Spreadsheet
The way most agents do it today
- Hours rebuilding the same comparison every listing
- No AI commentary — just numbers in cells
- Manual weighting of seller priorities, if you do it at all
- Nothing shareable — you screenshot and email
- Every new offer means re-doing math
ShowSmartly
Multi-offer AI, built for listing agents
- 3 minutes from PDF upload to ranked output
- Plain-English AI commentary on every offer
- Weighted to your seller's actual priorities
- Branded, mobile-friendly PDF + share link
- Drop a new offer in — ranking updates instantly
Fiduciary boundaries
How ShowSmartly stays a tool, not a decision-maker
ShowSmartly extracts and ranks the material terms of each offer; it does not advise your seller. The judgment that translates a ranked stack into a recommendation — weighing who's likely to actually close, when to counter, when to negotiate the timeline — is the fiduciary work only you can do. The AI never says "accept this offer." It surfaces the tradeoffs so you can advise the seller with the full picture in front of you.
What the AI will not do
- Factor protected-class data (race, religion, familial status, national origin, or any other protected characteristic) into rankings or recommendations
- Recommend rejecting an offer — surfacing tradeoffs is the AI's job, recommending a course of action is yours
- Communicate directly with buyers' agents on your behalf
- Generate counter-offer language without explicit agent review and edit
FAQ
Questions listing agents ask
Is AI offer analysis safe?
Yes. Offer PDFs are stored in encrypted Supabase storage scoped to your account with row-level security, only you and people you explicitly share with can view an analysis, and we never train models on your seller data. Every extracted field is shown alongside the source PDF so you can verify before you act.
Does it work with my MLS forms?
Yes. The AI handles the major state and MLS contract templates (CAR, FAR, GCAAR, TREC, and their regional cousins) plus custom addenda. If a field doesn't extract cleanly, it's flagged for review rather than guessed — and you can correct it inline.
How does it handle escalation clauses?
It parses the cap, increment, and proof-of-offer requirement, then calculates the effective price at each competing-offer scenario. The ranking updates automatically as you add or remove offers from the stack, so escalations are always evaluated against the current field — not the field as it stood when the offer arrived.
Can it analyze a backup offer?
Yes. Drop the backup PDF in the same stack and tag it as backup; it's ranked alongside live offers and surfaced with a 'second-position' note. If the primary falls through, the ranking is already there — no re-analysis required.
Does it replace my fiduciary review?
No. ShowSmartly extracts and ranks terms — it does not advise your seller. The agent's fiduciary duty to interpret tradeoffs, explain implications, and recommend a course of action is irreplaceable. Treat the output as the structured intake for that conversation, not a substitute for it.
How fast is it?
A typical stack of 4–8 offers is ranked in about three minutes from the moment the last PDF finishes uploading. Larger stacks scale linearly. The bottleneck is almost always PDF upload time, not the AI.
Can sellers see the analysis directly?
Yes. Every analysis produces a mobile-friendly, branded one-pager you can share with a link or email directly from the app. Sellers don't need an account, and you control what's visible — net-to-seller, ranking commentary, side-by-side terms, or all three.
What if the PDF is hand-scanned?
OCR runs on scanned and photographed offers. Quality matters — a phone snapshot of a clean contract reads cleanly, while a faxed scan of a faxed scan won't. Anything the OCR can't read confidently is flagged for manual entry rather than silently dropped.
The math