Commercial real estate · configured for the deal you actually do

A chatbot for commercial real estate, not a home-buying script.

A chatbot for commercial real estate qualifies tenants, buyers and investors on entry — capturing lease structure, representation, usable and rentable square feet, price per square foot, cap rate, term, build-out and permitted use — then routes each enquiry to the right broker.

PSFpriced in your terms, not beds & baths
NNNlease structure captured up front
24/7including the after-hours enquiries
0underwriting or legal advice given

The core problem

A residential bot asks the wrong questions.

Most real estate chatbots are built for homes — budget, bedrooms, area, pre-approval. Point one at a commercial enquiry and it collects answers that tell a broker almost nothing. Commercial leads are qualified on a different set of facts entirely, and until the bot captures those, it can’t sort a serious tenant from a tyre-kicker or send an investment-sales enquiry to the right desk.

The differentiator

The CRE fields a residential bot never captures.

This is what a commercial configuration adds. Each row is a field a residential bot skips or gets wrong, what it asks instead, and why the commercial version decides whether a lead is worth a broker’s time.

What a CRE bot must capture What a residential bot asks Why it matters
Lease structure — NNN, gross or modified gross Doesn’t apply — asks “rent or buy?” A $30 PSF NNN quote and a $30 PSF gross quote are wildly different deals once taxes, insurance and common-area maintenance are stacked on. Capturing the lease type up front stops a tenant comparing numbers that aren’t comparable, and tells the broker what the real occupancy cost will be.
Representation — tenant-rep, landlord/direct, or principal “Are you already working with an agent?” In commercial, who pays and who represents whom is the whole shape of the deal. A tenant-rep enquiry, a landlord marketing space, and a principal buying an asset need three different conversations. Miss this and the bot routes an investment-sales lead into a leasing flow.
Space size — usable vs rentable sqft (load factor) Bedrooms and bathrooms A tenant needs, say, 4,000 usable square feet, but pays on rentable square feet — usable plus a share of lobbies, corridors and restrooms. That load factor can add 15–20%. Asking usable-vs-rentable early means the space shown actually fits, and the quoted rent isn’t a surprise.
Price basis — rent PSF per year, or price PSF to buy Total budget / pre-approval amount Commercial pricing is quoted per square foot, usually annually for leases. A buyer who says “about $2m” still needs a PSF and a size before anything can be matched. The bot has to translate a lump-sum budget into the PSF-and-size terms listings are actually priced in.
Investment return — target cap rate / NOI Not asked For investment-sales buyers, the property is a cash-flow instrument, not a place to work. Their filter is the capitalisation rate — net operating income over price. A residential bot has no concept of it; a CRE bot has to capture the target return before it can surface anything relevant. A buyer who says “about $2m” still needs a cap rate to narrow it.
Lease term & options — length, renewals, breaks “How soon do you want to move?” A three-year term and a ten-year term with renewal options are different risk profiles for both sides, and they change what a landlord will offer on rent and fit-out. Timeline in residential means move date; in commercial it also means commitment length, which drives the negotiation.
Build-out & TI — fit-out needs and tenant-improvement allowance Not asked Most commercial space is leased as a shell or in another tenant’s old layout. Whether the tenant needs a full fit-out — and how much tenant-improvement allowance the landlord will contribute — is often the deal-maker. Flagging build-out needs early routes the enquiry to the right, workable spaces.
Zoning & use class — permitted use Area / neighbourhood A unit zoned for retail won’t house a medical clinic or a light-industrial workshop without a change of use. Capturing the intended use lets the bot rule out spaces that legally can’t host the business — a mistake that wastes tours and, sometimes, signed letters of intent.
Deal stage — enquiry, touring, LOI, or under negotiation Rarely relevant Commercial deals move through defined stages — tour, letter of intent, lease negotiation. Knowing whether someone is browsing or already at LOI on another building decides urgency and messaging. A buyer at LOI stage is a now-lead; the bot marks it hot and alerts the broker immediately.

The exact wording and which fields take priority are tuned to your desk on the discovery call — an industrial leasing agent and an investment-sales broker weight these differently. This is the shape of a commercial flow, not a fixed form.

Who it’s for

Built for the commercial side of the desk.

If your listings are quoted in price PSF and cap rates rather than beds and baths, the assistant is configured for your enquiries — and screens them so only the workable ones reach you.

CRE brokers

Office, retail and industrial brokers fielding mixed enquiries. The bot captures use, size and lease structure on entry, so a serious requirement is separated from a general browse before you pick up the phone.

Leasing agents

Agents marketing available space for landlords. Enquiries are screened on required square footage, term, build-out needs and permitted use, then routed — with a tour booked into your calendar when the fit is real.

Investment sales

Brokers working income properties. The assistant captures target cap rate, buyer type and deal stage — the filters residential bots have no concept of — and flags a principal at LOI stage as a now-lead.

How the config differs

Same engine, commercial wiring.

It’s the same managed assistant behind our residential work — connected to your listings, screening on entry, handing off to your CRM. What changes is the qualification logic and the vocabulary it speaks.

Modern office meeting room set up for a leasing conversation
Askcommercial qualification fields

It speaks price PSF, cap rate and lease structure.

The script is rebuilt around commercial facts. Instead of beds and pre-approval, it establishes use, size in usable and rentable terms, the rent or price PSF, lease type and term, and — for investors — a target return. It translates a lump-sum budget into the PSF-and-size terms your listings are actually priced in.

  • NNN, gross or modified-gross lease captured up front
  • Tenant-rep, landlord/direct or principal identified early
  • Usable-vs-rentable size, so quoted rent isn’t a surprise
  • Cap rate and deal stage for investment-sales enquiries
Dashboard showing routed commercial leads and transcripts
Routeright desk, with the full context

It routes by deal type, then hands off to your CRM.

A leasing enquiry, a tenant-rep requirement and an investment-sales buyer go to different desks. The bot reads your live inventory to answer with real available space, then writes the qualified contact and the whole transcript into your CRM and books the tour — no lead sitting in an inbox overnight.

  • Answers from live listings, not “an agent will contact you”
  • Investment-sales split from leasing, routed separately
  • Qualified contact + transcript into Follow Up Boss, kvCORE or HubSpot
  • Tour booked to your calendar the moment a fit is real

Where CRE teams fit

Most commercial teams sit on Lead Engine.

Because a CRE assistant leans on live inventory and multi-desk routing, the middle tier is where most brokers land — a solo agent can start smaller, a full brokerage larger.

Solo Assistant

$750 build + $250/mo

A single commercial agent wanting after-hours enquiries captured, screened and booked. One channel, your listings connected.

Lead Engine — most CRE teams

$1,500 build + $350/mo

Teams with live IDX/MLS inventory and more than one desk to route to — leasing and investment sales handled distinctly. The usual fit for a commercial team.

Brokerage

$2,500+ build + $500/mo

Larger brokerages with multiple offices, channels and a fuller routing map across desks and specialisms. Scoped on the call.

See full pricing for what each tier includes. Every build is connected to your listings, screened on your fields, and handed to your CRM.

Honest limits

What it won’t do — and won’t pretend to.

A commercial deal carries real money and real legal weight. The assistant qualifies and routes; the judgement stays with you. Knowing its edges is what keeps it useful and keeps you covered.

  • It doesn’t underwrite. It captures a target cap rate and the numbers a buyer volunteers — it does not run a valuation, model NOI, or tell anyone a deal pencils. That analysis is yours.
  • It doesn’t give legal or zoning advice. It records the intended use and flags a possible zoning or use-class conflict for a human to confirm. It never tells a tenant a use is permitted or a lease clause is sound.
  • Every answer is self-reported. A prospect can overstate their budget, their financing or their timeline. The bot qualifies in good faith and flags anything that doesn’t add up — it can’t verify a proof of funds or a board approval.
  • It flags rather than forces. When an enquiry is ambiguous — an unusual use, a size that doesn’t fit, a stage it can’t read — it marks it for a person instead of pushing a weak lead down the booking path. A missed booking is cheaper than a wasted tour.

Questions

Chatbot for commercial real estate — the details.

What commercial brokers ask before they trust a bot with an enquiry. If yours isn’t here, ask it on the call.

What is a chatbot for commercial real estate?

It’s a managed AI assistant that sits on a CRE broker’s website or listing pages and handles the first conversation with a tenant, buyer or investor. Unlike a residential bot, it’s configured for commercial fields — lease structure, representation, usable versus rentable square feet, price PSF, cap rate, lease term, build-out needs and zoning — so it qualifies and routes the enquiry correctly instead of forcing it into a home-buying script.

How is a CRE chatbot different from a residential one?

The qualification logic is different because the deal is different. A residential bot asks budget, beds, area and pre-approval. A commercial bot has to capture NNN versus gross lease, tenant-rep versus direct, usable versus rentable square feet, rent or price per square foot, cap rate for investors, lease term, tenant-improvement needs and permitted use. Same idea — screen and route on entry — but the fields that decide a good lead are almost entirely different, which is why a residential template underperforms on commercial enquiries.

Who is this built for?

Commercial brokers and leasing agents handling office, retail and industrial space; investment-sales professionals working income properties; and brokerage teams that want every after-hours enquiry captured, screened and routed rather than lost. If your listings are quoted in price PSF and cap rates rather than beds and baths, the assistant is configured for your side of the market. See who it’s for.

Will it value a building or give legal advice?

No, and it won’t pretend to. It qualifies and routes — it does not underwrite a deal, run a valuation, opine on a cap rate, or give legal or zoning advice. It captures the intended use and flags a potential zoning conflict for a human to confirm; it never tells a tenant a use is permitted. Anything that needs professional judgement is handed to you with the full context attached.

How does it connect to my listings and CRM?

The assistant reads your live inventory — an IDX or listing feed, an export, or a crawl of your own site — so it answers with real available space, not “an agent will contact you”. When an enquiry qualifies, it writes the contact and full transcript into your CRM and books the tour onto your calendar. See lead qualification for the screening flow, and pricing for the tiers.

See it qualify a commercial enquiry

Try the demo and answer as a tenant or investor would — or book a 15-minute call and we’ll run the commercial fields against your own listings.


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