AI Lead Qualification
That Knows Who's Ready to Buy

How does AI qualification differ from web forms or chatbots?

Traditional web forms have fixed fields that leads often skip or lie on to avoid seeming unqualified. Basic chatbots follow rigid scripts that feel robotic. Our AI has dynamic, natural conversations that adapt based on responses—it can dig deeper when something needs clarification, educate prospects who have misconceptions about pricing, and handle objections in real-time.

More importantly, the AI qualifies through voice calls, not just text. Calling prospects want to talk to someone and have their questions answered. The AI does that while simultaneously gathering qualification data your sales team needs. It's consultative qualification, not interrogation.

Won't asking about budget scare away good leads?

The AI doesn't bluntly ask "What's your budget?"—that does scare people off. Instead, it establishes realistic expectations through ranges, education, and comparison. For example: "Most kitchen remodels in this area typically run between $40K and $80K depending on the finishes and layout changes. Does that align generally with what you had in mind?"

This approach accomplishes two things: it qualifies budget without making prospects defensive, and it prevents disappointment later. If someone has a $20K budget for a project that realistically costs $60K, it's better to address that mismatch early rather than waste everyone's time with proposals that will never close.

What happens to leads that don't qualify but might be valuable later?

Not every unqualified lead is worthless—many are just premature. The AI places these leads into appropriate nurture tracks based on why they didn't qualify. Someone with no budget today but genuine need might receive educational content about financing options. Someone with a long timeline gets periodic check-ins as their decision date approaches.

The key is that these leads get automated nurture rather than consuming sales time. When circumstances change—they enter a hot timeline, get funding, or reach a decision point—the AI requalifies them and promotes them back to your sales team's active queue. Nothing falls through the cracks.

Can the AI detect when leads are lying or exaggerating?

The AI uses several techniques to verify qualification honesty. It asks qualifying questions in multiple ways throughout the conversation to check consistency. It listens for verbal cues and hesitation patterns that suggest uncertainty. It asks follow-up questions when answers seem vague or evasive.

For example, if someone says they want to move forward "soon" but can't articulate why or what's driving the timeline, that's a red flag. If they claim to have budget but become evasive when you mention specific price ranges, that gets noted in the qualification. The AI doesn't call leads liars directly, but it scores them lower when verbal signals don't match stated qualification criteria.

Over time, the AI learns patterns from your actual close data. If leads from certain sources tend to overstate their qualification, or if certain verbal patterns correlate with deals that don't close, those insights get incorporated into future scoring.

How customizable is the qualification process?

Extremely customizable. Every business has different qualification criteria, and the AI adapts to yours. You define what questions get asked, what answers indicate qualification, how different factors get weighted in the lead score, and what routing rules apply to different lead types.

For example, a roofing company might prioritize age of roof and signs of damage over budget, because desperate situations usually find budget. A financial advisor might weight assets under management and investable capital heavily. A B2B service might focus on company size, decision-making process, and current vendor contracts.

You can also set up different qualification tracks for different service lines. Emergency services get qualified differently than planned projects. Residential leads have different criteria than commercial. The AI uses the right qualification framework based on what the lead is asking about.