Structurely Review

Structurely sells AI conversation agents that work inbound leads by phone and text — qualifying them, booking appointments, and handing live callers to a rep at the moment interest peaks. It is aimed squarely at industries that buy leads in volume: real estate, mortgage, home improvement, and the agencies that serve them. This review covers what the platform actually does, what it costs once onboarding and usage credits are counted, and what we could not verify.

Verdict at a glance

What Structurely does

The product is a set of AI agents that own the first stretch of the funnel. When a lead comes in, an agent calls or texts using a local number, asks qualifying questions, and either books time on a connected calendar or disqualifies the lead. Everything it does is logged back into the CRM, so the pipeline record looks the same as it would if a human inside sales rep had done the work.

Structurely advertises support for HubSpot, Salesforce, Follow Up Boss, BoomTown, Bonzo, LP, and MarketSharp — a lineup that tells you who this is really for. Follow Up Boss, BoomTown, and MarketSharp are real estate and home improvement systems, not generic B2B stacks. The vendor also markets a white-label tier and claims it powers 50+ partner platforms, which suggests a meaningful share of the business is other companies reselling the engine under their own brand.

The headline numbers on the site — 50% lower sales overhead, 17% more qualified leads, 31% higher answer rates — are vendor claims with no published methodology attached. Treat them as marketing, not benchmarks.

How it works in practice

This is not a tool you sign up for and switch on. Every plan carries a one-time onboarding fee, and the Team plan's core promise is that Structurely builds and configures four AI agents for you. That framing is honest about what these deployments require: scripting the qualification logic, mapping it to CRM fields, wiring calendars, and tuning transfer rules. A pilot period is offered before the contract commitment, which is the right way to evaluate it.

The AI Power Dialer is a separate add-on covering simultaneous dialing, answering machine detection, and Salesforce integration. Pricing for it is not published.

Structurely pricing (2026)

The subscription is only part of the bill. Structurely meters usage in "action credits," defined as one SMS reply, ten seconds of talk time, or two emails sent. That math is worth doing before you sign:

• Talk time costs $0.48 per minute on Team (six credits at $0.08) and $0.36 per minute on Company. A five-minute qualification call runs $2.40 or $1.80 respectively.
• Work 200 leads a month with an average of four minutes of talk plus a dozen SMS exchanges each, and you are looking at roughly 6,000 credits — about $480/month on Team, on top of the $499 subscription.
• Year one on Team lands near $8,000 before credits ($499 × 12 plus $2,000 onboarding). On Company it is closer to $14,500.
• Month-to-month billing carries a 20% premium, taking Team to roughly $599/month.

The listed plans do not appear to include a credit allowance, so budget usage as a genuine variable cost rather than a rounding error. If your typical lead needs long phone conversations, credits can rival or exceed the subscription.

What we could and couldn't verify

Pricing, plan contents, credit definitions, contract terms, and the integration list all come straight from Structurely's current pricing and product pages, checked for this review.

What we could not verify is independent user sentiment. G2 and Trustpilot both blocked automated access, and we found no accessible review base with enough volume to characterize honestly — no meaningful Reddit thread activity, no aggregated rating we can attribute with confidence. We are not going to invent a score or paraphrase reviews we did not read. If you are evaluating Structurely seriously, ask the vendor for references in your specific vertical and lean hard on the pilot period, because the public evidence base is not there to lean on instead.

Pros and cons

Pros

• Live transfer is genuinely differentiated — the AI hands over a warm lead mid-call rather than logging a note for later
• Voice, SMS, and email in one agent, with CRM write-back
• Integrations skew toward real estate and home services systems most generic AI SDR tools ignore
• Done-for-you agent configuration on the entry plan
• Pilot period before contract commitment

Cons

• Annual contracts by default; month-to-month costs 20% more
• Mandatory onboarding fees of $2,000–$2,500 that most competitors do not charge
• Consumption billing on top of subscription makes the real cost hard to forecast
• Power Dialer add-on pricing is not published
• No independently verifiable third-party review base we could confirm

Structurely alternatives

• Conversica — the long-running incumbent in AI revenue agents, email-first with enterprise pricing and a longer track record
• Verse.ai — hybrid human-and-AI lead response, also heavily focused on real estate and mortgage
• Ylopo AI Voice — real-estate-native and usually bought as part of Ylopo's broader marketing stack rather than standalone
• Regal.ai — AI phone agents with contact-center depth, priced on usage; better fit if you need call center controls
• Synthflow or Bland AI — build-your-own voice agent platforms at a much lower per-minute cost, but you supply the scripting, CRM plumbing, and ongoing tuning

Who should use Structurely — and who shouldn't

Good fit: teams paying real money for inbound leads in real estate, mortgage, or home improvement, where speed to first contact decides conversion and reps are too busy to dial every new record. Also a reasonable fit for platforms wanting a white-label conversational layer without building one.

Poor fit: small teams with low lead volume — the onboarding fee alone will outweigh the value. Outbound-led B2B teams whose motion is cold email rather than inbound phone follow-up are also in the wrong category. And anyone who needs to know their monthly bill in advance should price the credit model carefully before committing to a year.