Every agent's AI writes the same listing. Yours should not.
Deepest sends your prompt to several top AI models at once. For listings and client emails, you get genuinely different drafts merged into one that does not sound like everyone else's. For pricing calls, offer terms, and inspection findings, you see exactly where the models disagree, which is where a six-figure decision deserves a second look.
200 free credits. No credit card required.
Watch three models read the same offer
An offer 6% under ask with a quick close and appraisal gap coverage, in a market where days-on-market is rising. Three top models, three different counter strategies.
Simulated demo for illustration. Actual responses are more detailed and personalized.
Why one AI is not enough in real estate
One model gives every agent in your market the same words, and gives your judgment calls no second look.
Your AI listing sounds like their AI listing
When every agent in a market prompts the same model, the listings converge: same openers, same "boasts" and "nestled", same rhythm buyers have learned to scroll past. One model produces the market's average copy by definition. Several models produce genuinely different drafts, and the merge of their strongest lines is copy no single tool would have written.
A wrong read costs six figures
Advising sellers on a counter, reading an appraisal gap clause, deciding which inspection findings are negotiation-worthy: these are judgment calls on someone's largest asset. A single model answers confidently whether it is right or not. When several models disagree, the disagreement is a precise list of what to verify with a lender, inspector, or attorney before you advise.
Different models, different strengths
One model writes the warmest client emails, another reasons best through pricing and net-proceeds math, another is the most careful reader of long documents. Subscribing to one vendor gives you one assistant. Deepest gives you the panel, in one place, for less than two separate subscriptions.
How real estate agents use Deepest
Three ways to combine the models, mapped to how an agent's week actually runs.
Synthesis · one combined best answer
Synthesis: one listing from several drafts
Most of an agent's AI use is writing, and writing is where a single model shows its habits. Synthesis has the models draft independently, then merges the strongest hook, the cleanest lines, and the most specific details into one description. Listings, property emails, and social captions come out sounding like you wrote them on a good day, not like the template every other agent posted this week.
GPT-5.6
Claude
Gemini
Synthesis
One description, built from the strongest lines of three drafts.
Compare · where the models agree and disagree
Compare: the second opinion on judgment calls
Ask once and every model answers side by side, with an automatic breakdown of where they agree and where they split. Use it on pricing strategy, offer terms, and inspection findings, the calls where being confidently wrong costs your client real money. Agreement across models is not proof, but disagreement tells you exactly what to check with a lender, inspector, or attorney before you pick up the phone.
GPT-5.6
Claude
Wants the gap coverage cap verified first
Gemini
Compare
Two of three would counter on terms, not price. The split is what you check before advising.
Debate · models argue and converge
Debate: pressure-test the price before the market does
Debate makes the models argue against each other and converge over rounds. Put your list-price recommendation or negotiation position in and watch what survives. The objections that emerge are a preview of what the buyer's agent, the appraiser, or your own sellers will say, and the position left standing is the one worth presenting.
GPT-5.6 · opening
Claude · rebuttal
GPT-5.6 · concedes
Claude · holds
Debate
Positions converge after two rounds. The surviving price is the one to present.
What agent work looks like with a model panel
Four places real estate agents put Deepest to work on day one. Each prompt is copyable as written.
Listing descriptions
Several models draft independently, then Synthesis merges the strongest lines into one description with a real hook and specific details. The result reads like a writer saw the house, not like a form filled in.
Try this prompt
Write a listing description for a 3-bed, 2-bath 1962 ranch with a remodeled kitchen, original hardwood, a fenced quarter-acre yard, and a two-car garage, two blocks from the Saturday farmers market. Lead with the kitchen and the yard, keep it under 150 words, no cliches, and describe the property rather than the buyer.
Pricing and offer strategy
Run a pricing call or an offer response past several models and get independent reads on the numbers, the terms, and the market context. Where they disagree is where you dig in before advising your client.
Try this prompt
My sellers listed at $685,000, 24 days on market, two showings last week, and the nearest comp closed at $661,000 after a price cut. Should we reduce, and to what number? Give me the case for holding and the case for cutting.
Inspection reports and contract terms
Get plain-English explanations of what a finding or a clause actually means, with several models cross-checking each other's reading. Anything legal goes to an attorney and anything structural goes to a specialist; the models help you know which is which.
Try this prompt
Explain this inspection report summary in plain English for my buyers: which findings are routine maintenance, which are worth negotiating over, and which need a specialist's opinion before we respond? [paste report summary]
Client communication
Price-reduction conversations, expectation-setting with first-time buyers, delivering a rejected offer. The models draft the message several ways; Synthesis merges the version that is honest, warm, and keeps the relationship intact.
Try this prompt
Draft an email to my sellers explaining that after 30 days without an offer we should discuss a price reduction. Empathetic but direct, keep their trust, propose a concrete next step, under 200 words.
Start with 200 free credits and up to 2 models per prompt.
Confidentiality
Your clients' numbers stay yours
Conversations are encrypted in transit and at rest, are never used to train models, and you can export or permanently delete everything at any time. Prompts go to model providers through enterprise APIs, not consumer chatbots. Client financials, negotiation positions, and pre-market listings stay between you and the panel; anonymize names and addresses where your brokerage policy requires it, and the workflow works exactly the same.
Questions real estate agents ask
Important
Deepest provides drafting and research assistance for real estate professionals. It does not provide legal, tax, or appraisal advice; route those questions to a licensed attorney, tax professional, or appraiser. Review all output, including listing copy, before publishing or relying on it.
Work in a different field? Deepest works the same way for marketers, lawyers, financial advisors, and every other profession.
Give every listing and every offer a second opinion
Start free with 200 credits. No credit card required.