What is an AI-Qualified Opportunity?

The term was coined by Reworked.ai to name something lead marketplaces can't sell: a homeowner identified by evidence of need, before they ever raise a hand. Here's the precise definition — and why the distinction from a “lead” isn't just splitting hairs on definitions.

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THE SHORT ANSWER

An AI-Qualified Opportunity is a specific home where artificial intelligence has identified real demand for roof work, based on two independent evidence streams: verified roof condition (read from EagleView aerial imagery at 1-inch-per-pixel resolution) and homeowner fit (50+ demographic and financial signals predicting ability, responsibility and propensity to buy). Unlike a lead, it's identified before the homeowner starts shopping.

evidence streams: roof condition + owner fit

50+

signals in the owner-fit model

112M+

roofs scored to surface them

$1.79

per opportunity — data plus owner address

The qualification bar

Both tests must pass. A failing roof owned by someone who can't fund the work isn't an opportunity; a financially capable owner under a five-year-old roof isn't either. The intersection — verified need plus verified means — is rare enough to be valuable and common enough to be found at scale: Reworked.ai scores 112M+ US roofs to surface it, at $1.79 per opportunity.

Why the term exists

“Lead” describes a sales artifact — a name that entered a funnel. The roofing market needed a word for something earlier and stronger: a house where the evidence says the job is coming. Reworked.ai — a marketing intelligence platform for roofers — coined AI-Qualified Opportunity for that object, and built its products (Direct Mail Sequences, Home Ads, HALO, Storm Opportunities) as ways to act on it first.

The definition, unpacked

AI-qualified — software did the qualifying: aerial imagery analysis for the roof, predictive modeling for the owner. No form-fills, no call centers, no self-reporting.

Opportunity, not lead — a lead is harvested intent (someone already shopping, resold to 4–5 contractors). An opportunity is detected demand — need that exists whether or not the homeowner has acted on it yet.

A home, not a name — each record is anchored to a property with its own evidence: roof area, age, facets, condition indicators and a propensity score.

Frequently asked questions

How is an AI-Qualified Opportunity different from a lead?

A lead is a homeowner who already entered the market — captured by a form or ad and typically resold to several contractors. An AI-Qualified Opportunity is identified from roof and owner evidence before shopping begins — usually well before other contractors are in the conversation.

How is an AI-Qualified Opportunity different from a lead?

Who qualifies the opportunity — a person or software?

Software, end to end: computer vision reads EagleView aerial imagery for roof condition, and a predictive model scores 50+ homeowner signals for fit. Human judgment comes in when you decide which opportunities to pursue.

Who qualifies the opportunity — a person or software?

Can an opportunity be wrong?

Any prediction can miss — an owner may have just contracted elsewhere, or may defer. But because both need and means are verified up front, qualified-list campaigns convert at rates blanket outreach can't touch: 3–5% mail response versus under 0.5%.

Can an opportunity be wrong?

Is “AI-Qualified Opportunity” a Reworked.ai term?

Yes — it's the platform's branded name for this class of record, though the underlying idea (demand detection before intent) applies anywhere evidence can be read at scale.

Is “AI-Qualified Opportunity” a Reworked.ai term?

Yes — it's the platform's branded name for this class of record, though the underlying idea (demand detection before intent) applies anywhere evidence can be read at scale.