EliseAI raised $250 million in August 2025 at a $2.2 billion valuation, with reports (unconfirmed) of a follow-on round near $3.7 billion. Zuma’s marketing speaks to portfolios of 1,000-plus units. Funnel Leasing states outright that it works with property management companies above 2,000 units. An independent operator running 80, 300, or even 800 units is not who any of these companies had in the room when they built pricing and onboarding — which is exactly why finding the best AI leasing assistant software for independent property management companies means starting from a different list than the one Google surfaces first.

That matters because the two ways to get this wrong are both expensive. Sign a year-long contract sized for a REIT’s leasing office, and the per-unit math never closes. Skip AI leasing coverage entirely, and a $25-a-month AI answering service would have caught the after-hours lead that just went to a competitor.

The short version: under roughly 150-200 units, skip a dedicated AI leasing assistant and price out an AI answering service instead. Between about 200 and 1,000 units, Zuma and Respage’s ResMate are the realistic picks, both skewing toward the top of that range. Above roughly 1,000-2,000 units with real negotiating leverage, EliseAI and Funnel Leasing become worth a demo call — with a five-figure annual minimum attached either way.

The breakdown by portfolio size, vendor economics, and what property managers actually report using these tools follows below.

The Quick Verdict: Best AI Leasing Assistant Software by Portfolio Size

Most of this category was not built for the reader running a few hundred doors. That is a pricing decision made by proptech investors chasing enterprise ACV, not a reflection of what independent operators need or can afford. The table above is the filter — everything below explains why each row lands where it does.

EliseAI: The Enterprise Default (and Its Real Price Floor)

EliseAI is the name most independent operators hear first, mostly because it is the best-funded. The company raised $250 million in August 2025 at a $2.2 billion valuation, backed by a16z, Bessemer, and Sapphire. Reports of a further $300 million round at a $3.7 billion valuation are circulating but remain unconfirmed.

EliseAI does not publish pricing. Reported figures — not official, and worth treating as directional — put it around $3-6 per unit per month, with an annual minimum near $25,000. A company valued at $2.2 billion with a $25,000-a-year floor is pricing for accounts north of 500 units, not a 150-unit independent operator evaluating its first AI vendor.

Community sentiment splits sharply along one axis: what the tool is asked to do. Operators using it for renewals and delinquency communication describe it favorably. A user on r/PropertyManagement wrote that “as a USER, I can tell you it’s SUCH a pleasant experience. So many Property Management websites are so old and archaic, this one’s super modern and sleek, everything works as it should, even the AI is helpful in basic questions about a unit or routing me to a number/email quickly.”

The complaints cluster around the opposite use case — prospect-facing chat and maintenance triage. One property manager on the same subreddit put it bluntly: “I hate it!!! Like everyone else and our residents hate it. The worst thing is that Elise keeps asking residents to submit work orders. We now get 20+ every day. We can’t keep up.” Another operator managing scattered sites, rather than a single large property, described the mismatch directly: “I can see it working for a large monolithic property, with an office, and staff dedicated to sitting at a desk and monitoring it all day. Out in the field with many sites, utterly frustrating and limited. That’s our experience anyhow.”

That last quote is the whole thesis of this article in one sentence. EliseAI is optimized for a centralized leasing office with dedicated staff watching the queue — which describes a 1,000-plus unit institutional operation, not a lean independent shop covering multiple properties with one or two people.

Zuma (Kelsey): Human-in-the-Loop, But Built for 1,000+ Units

Zuma’s product, Kelsey, has one feature worth taking seriously regardless of portfolio size: when the AI is unsure, it hands the conversation to a live human specialist rather than guessing. That is the most defensible differentiator in this entire category — most competitors either answer confidently and risk being wrong, or fall back to a generic “an agent will contact you” dead end.

Zuma does not publish pricing; it sells through custom quotes and offers free pilots to qualified accounts. Both Zuma’s own marketing and third-party industry coverage describe its core market as 1,000-plus-unit portfolios. Zuma claims Kelsey drives a 2.4x improvement in lead-to-tour conversion — a vendor-reported figure with no independent verification available, and it should be read that way.

On the integration side, Zuma connects to Yardi, Entrata, RealPage, Onesite, and Knock, covering most of the property management systems an independent operator with several hundred units is likely running.

The human-in-the-loop design is a genuinely good idea for any operator worried about a chatbot inventing answers about lease terms or amenities. But the sub-1,000-unit operator negotiating a Zuma contract does so from a weaker position than the marketing suggests — pilot programs and custom pricing tend to favor whichever side has more leverage, and that is rarely the smaller account.

Respage / ResMate: The Only One With a Flat-Rate Entry Point

Respage’s ResMate is structured differently from the rest of the category, and that structure is the reason it is the most realistic entry point for a smaller independent. The company sells two tiers: a flat-rate website chatbot, and a per-unit-priced full assistant that adds text, email, and SMS handling. Phone answering is a separate add-on rather than bundled into the core price.

Respage also bundles the resident chatbot with its CRM, and claims this saves customers more than 50% compared to buying the tools separately — though the exact dollar figures behind that claim are not published, so it should be treated as a directional vendor claim rather than a verified number.

No hard published unit minimum turned up for ResMate, which distinguishes it from Funnel’s explicit 2,000-unit floor and Zuma’s 1,000-plus-unit marketing focus. The flat-rate chatbot tier in particular is priced to be approachable rather than gated by portfolio size.

This is not a category leader on brand recognition or funding. It is closer to actually working for a mid-market independent operator, mainly because it does not force an all-or-nothing per-unit contract before an operator knows whether the tool earns its keep. Operators comparing full leasing-to-lease-signing workflows, not just chat coverage, should also weigh this against the dedicated options in the best AI lease management software for landlords comparison.

Funnel Leasing: Transparent Pricing, But a 2,000-Unit Gate

Funnel Leasing is the only vendor in this comparison that publishes real numbers. Funnel Essentials starts at $2.05 per unit per month; Funnel Intelligence, which adds prospect, resident, and voice AI, runs $3.70 per unit per month. Those are list prices from Funnel’s own site, not estimates pieced together from third-party trackers.

The catch is eligibility, not cost. Funnel’s own FAQ states the company works with property management companies above 2,000 units — a floor that disqualifies most independent operators outright, regardless of how attractive the per-unit price looks on paper. Funnel also acquired LeaseHawk’s assets and partnered with AI company Sierra in April 2025, signaling continued investment in the enterprise end of the market rather than a move downmarket.

Funnel’s marketing claims a 46% tour conversion rate versus 19% without AI, and says its assistant handles 86% of initial inquiries. Both are vendor-reported figures with no third-party validation found, and should be read with that caveat attached.

The irony is that Funnel proves per-unit AI leasing pricing can be published transparently — something EliseAI, with a $2.2 billion valuation, has chosen not to do. That makes EliseAI’s demo-gated, “call us for pricing” approach look less like a technical necessity and more like a negotiating tactic. It just doesn’t change the fact that Funnel’s floor puts it out of reach for the same operator this comparison is written for.

Where AppFolio’s Lisa Fits (Not a Re-Review)

Lisa is not a standalone competitor to the four vendors above — it is a bolt-on feature inside AppFolio’s existing property management system, not a platform sold on its own. That distinction matters for pricing: reported figures from third-party trackers (not officially confirmed by AppFolio) place Lisa anywhere from about $45 a month for a small account with 10 units and 500 contacts, up to about $1,500 a month for unlimited usage.

AppFolio is also in the process of replacing Lisa. Per a reply from an AppFolio employee on r/PropertyManagement: “We’ve been making improvements to LISA for some time, but it’s about to take a huge leap forward because we’re transforming it into our new Realm-X Leasing Performer… it’s built directly into AppFolio, it uses agentic AI to handle leasing workflows, and it’s much more capable when it comes to remembering context.”

An independent operator already running AppFolio should price out Lisa (or its Realm-X successor) as an add-on before shopping any of the four standalone vendors above. The incremental cost of turning on a feature already living inside an existing PMS contract is almost always lower than signing a new platform contract from scratch. A full breakdown of whether Lisa is worth the add-on cost lives in the AppFolio AI leasing assistant review; this section is a pointer to that comparison, not a repeat of it. Operators evaluating AppFolio against alternatives more broadly may also find the Buildium vs. AppFolio comparison useful before committing to a PMS ecosystem at all.

What Property Managers Who’ve Actually Used These Are Saying

Across the threads referenced above, a consistent pattern holds regardless of vendor: nobody describes these tools as autonomous. Every satisfied user still describes active oversight.

One operator on r/PropertyManagement summed up the day-to-day reality of running EliseAI: “We use Elise AI and you can’t ‘set it and forget it’… There is a feature for calls, Elise can help triage basic questions… I find most people will ask for a representative once they get through the basics. It is a tool - not a replacement for a person.”

Another, six months into using EliseAI, described a more mixed experience with accuracy: “We’re on about month 6 with Elise. I agree that it is helpful in handling traffic and responding when the office can’t but the AI model completely bombards the prospects with information, provides inaccurate info at times even after the knowledge bank is updated… I wouldn’t recommend it but it depends on your community and the demand for it.”

That last line — “it depends on your community and the demand for it” — is closer to the baseline reality than either the vendor pitch decks or the horror stories. These tools handle volume. They do not replace judgment, and every credible account of using one describes checking its work.

Operators evaluating an AI leasing assistant alongside other tenant-facing AI tools, such as screening software, should apply the same standard: read the AI tenant screening software comparison with the same skepticism about vendor claims that applies here.

Our Take: The Real Break-Even Point for an AI Leasing Assistant

Portfolio size is a proxy, not the actual math. The real break-even question is whether (units × per-unit cost) is smaller than (vacancy-days saved × daily rent) plus (after-hours staff-hours saved × wage). Unit count matters only because it drives the left side of that equation and because three of the four standalone vendors gate eligibility on it directly.

The underlying opportunity is real. NMHC’s 2023 CX Technology Report found that roughly one in three prospect engagements happens after business hours, regardless of portfolio size — a small operator loses exactly the same proportion of off-hours leads as a REIT. That is the actual argument for AI leasing coverage of some kind. It says nothing about whether a 300-unit operator should be paying enterprise per-unit rates and a five-figure annual minimum to capture it.

There is a second cost to weigh that none of the vendor pricing pages mention: accuracy risk. A renter on r/Apartmentliving described what happened when they tried to confirm details before signing: “It literally just hallucinates anything you ask it. Before I signed my lease, I was trying to confirm a few things… It said my apartment is on the second floor, the gym is 24 hours, and that my ISP works there. I sign my lease and my apartment is on the first floor, the gym is only open on weekdays until 5:30, and my ISP does not function there.” One operator separately reported that a leasing chatbot rollout coincided with a nearly 10% drop in closing ratio, tied to a bot that could not pre-qualify leads and instead needed constant babysitting. Wrong answers before a lease is signed are a liability problem, not just a customer-service one, and knowledge-base upkeep is not optional overhead — it is the job.

The recommendation, by tier: skip the category below roughly 150-200 units and price an AI answering service instead. In the 200-1,000 unit range, evaluate ResMate first for pricing flexibility and Zuma second if the human-in-the-loop handoff matters more than cost. Above roughly 1,000-2,000 units, with real negotiating leverage, EliseAI and Funnel Leasing are the ones where the per-unit math and the vendor’s actual target market finally line up.

Frequently Asked Questions

Is EliseAI worth it for a PM company under 1,000 units?

Usually not on cost alone. The reported roughly $25,000/year minimum plus $3-6 per unit means a sub-1,000-unit portfolio pays enterprise rates without enterprise leverage. It is worth evaluating only if occupancy and turnover math clears that floor with meaningful room to spare, not just breaks even.

How much does an AI leasing assistant cost per unit per month?

Funnel is the only vendor in this category with published pricing: $2.05 to $3.70 per unit per month, depending on tier. EliseAI is reported — not officially confirmed — at $3-6 per unit plus a five-figure annual minimum. Zuma and Respage’s ResMate both require a sales call to get a number.

What’s the real difference between EliseAI, Zuma, and AppFolio’s built-in Lisa?

EliseAI and Zuma are standalone platforms sold independently of any property management system, priced per unit with enterprise-level minimums. Lisa is a feature inside AppFolio’s existing PMS, priced far smaller — reportedly $45 to $1,500 a month — which puts it in a different buying category entirely. AppFolio is also actively replacing Lisa with a new agentic tool called Realm-X Leasing Performer.

Can an AI leasing chatbot replace a leasing agent, or just triage easy leads?

Community consensus lands firmly on triage, not replacement. Multiple operators describe actively monitoring and correcting these tools rather than letting them run unsupervised, with one summing it up as “a tool, not a replacement for a person.”

Do AI leasing assistants really reduce vacancy days?

The underlying mechanism is real — catching the roughly one-in-three prospect inquiries that happen after hours, per NMHC data — but the evidence on outcomes is mixed. One operator reported a nearly 10% drop in closing ratio after implementation. Results depend heavily on implementation quality and how well the knowledge base is maintained.

The Category Isn’t Broken, the Pricing Is

Most independent property management companies evaluating an AI leasing assistant are being sold a product priced for an operation three times their size. That is not a reason to dismiss the category — it is a reason to check unit count against the real minimums before taking a demo call.

Run the break-even math first: per-unit cost against vacancy-days and after-hours hours actually saved. Below roughly 150-200 units, price out an AI answering service before evaluating any of the four vendors above.

The AI is not the problem in this category. The pricing built for a REIT’s leasing office is.