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sales team · thirty inquiries, three will buy

AI online

Are your reps spending the whole day on people who will never buy?

Everyone deserves an answer.
Only buyers deserve your day.

The AI talks to every inquiry first: it asks about the job, the budget and the timeline, scores readiness and passes on the people who are genuinely choosing. The rest wait in nurture instead of in your team's calendar.

3 days free on any plan. No card required.

an inbound lead from paid ads

Three questions before a rep spends a minute

in short: how this gets solved

Are your reps spending the whole day on people who will never buy? Here is how it gets solved.

AI lead qualification stops eating the working day once the AI is the first to talk to every inquiry: it asks the qualifying questions in the first minutes, establishes the job, the budget and the timeline, scores readiness to buy and passes only the right-fit leads to a rep, with the CRM record already filled in.

The rest are not discarded: the AI answers their questions politely, tags the reason they did not fit and keeps the contact in the database until they mature. Your rep no longer loses an hour to a thread that ends in "we are just looking": the filter sits before them, not inside their head. For every lead you see the source, the need and why the AI scored it a fit.

In Botseller this filter is configured without a developer: questions are written in plain language, scoring rules change in a couple of clicks, and it works across messengers and your site. Most sales teams fit the Growth plan.

the team queue after the filter

Reps get right-fit leads, not everyone who wrote in

Every lead in the CRM carries a readiness score and a completed record: job, budget, timeline. Hot ones on top, unqualified ones tagged and moved to nurture.

why this happens

Why the sales day disappears into unqualified leads

A rep has to answer everyone: this one lead might be the deal of the month. But owners keep quoting the same figure on our calls — up to 60 percent of inquiries are not a fit. No budget, the wrong need, another region, "maybe next year". So half the working day goes into threads that never had a chance from the first message.

You could hire someone just to screen. But manual qualification across ten questions costs another salary and runs at the speed of one person: at peak hours inquiries are still worked first-come, first-served, with no priority. A hot buyer waits in the same feed as a casual browser — and the hot one is usually the first to leave.

There is a third loss, the invisible one: fatigue. After twenty empty conversations a rep answers the twenty-first on autopilot, and that twenty-first was the fit. So the filter has to sit before the human, not inside their head: a machine does not care how many empty inquiries it processed before this one.

an unqualified lead that costs nothing

A polite no still works for the brand

what changes

What changes when the AI answers first

Every inquiry gets an instant first reply and three or four relevant questions. But the speed is not the point — what matters is what comes after: your rep receives a queue of right-fit leads with completed records, sorted by readiness to buy rather than by arrival time.

So the shape of the working day changes: the same people hold more conversations that end in a deal and fewer threads maintained out of politeness. Nobody is left offended — the unqualified got a fast, honest answer. And you finally see a truthful funnel: how many came in, how many were a fit, and which question the rest drop off at.

After a month the data suggests the next improvement: it becomes obvious which ad source brings buyers and which one floods your team with empty inquiries. So AI lead qualification pays for itself twice: in rep hours saved and in ad budget that stops feeding traffic that never converts.

how much it costs

$179 /mo

The Growth plan: An AI employee with your qualifying questions, an AI CRM with lead scoring, up to 3 channels. Pays for itself in the rep days that stop disappearing into empty threads.

what people ask before launching

What questions does the AI ask leads?

Yours. During setup you describe them in plain language — usually the job, the budget, the timeline and how ready they are. The AI weaves them into a real conversation instead of rolling out a form.

Will a good lead get tired of the questions?

No: there are three or four, and each one saves the customer time, because the offer lands in their actual situation. The AI recognizes a hot buyer from the answers and speeds up the handoff.

What happens to leads who are not a fit?

They stay in the database tagged with the reason. Too early goes into nurture with rare, useful touches. Wrong company gets a polite answer and a good impression of your brand.

How does a rep see why a lead was scored as a fit?

The record shows the answer to every qualifying question and the resulting score. A questionable score can be corrected by hand, and the scoring rules change in settings without a developer.