← AI Business SolutionsAI Lead Scout

Find promising organisations. See the reasoning. Check the evidence.

Describe your ideal customer and what your business offers. Lead Scout searches public sources for suitable organisations, explains why each one may be a match and shows the evidence so a person can decide what is worth pursuing.

The public page never runs a live search or consumes API credits.

A controlled four-stage workflow

Broad discovery first. Detailed qualification second.

01

Define the business offer and ideal customer

Describe what the business provides, where it works and which customers are genuinely suitable.

02

Search public sources for matching organisations

Gather real business candidates with public evidence, without collecting private contact data.

03

Research and score candidates using evidence

Assess the supplied candidates only, explain the score and keep assumptions separate from observable facts.

04

Let a person review the opportunities

Reject, verify or shortlist the research before deciding whether any respectful outreach is appropriate.

What a candidate can include

A practical research brief, not a mysterious score.

Each result is designed for a person to inspect. The score is a transparent research-based fit assessment; it does not predict whether a business will purchase.

  • Business name
  • Website
  • Location and industry
  • Opportunity or buying signals
  • Why the business may fit
  • Strengths worth preserving
  • Possible service fit
  • Transparent fit score
  • Suggested conversation angle
  • Assumptions requiring verification
  • Recommended next step
  • Confidence
  • Public evidence sources
Illustrative example — not a live search

See the shape of the output without using AI.

This polished example is fictional. It does not describe a real company, diagnose a real problem or call an API.

84/100Strong research fit
Fictional candidate

Harbourline Allied Health Group

Inner Melbourne, Victoria · Allied health clinics

Why it may fit

This fictional multi-location clinic group matches the demonstration cleaner’s preferred customer profile because it operates patient-facing premises across the target service area.

Opportunity signals

  • Three fictional clinic locations
  • Extended weekday opening hours
  • Public emphasis on welcoming, well-presented spaces

Strengths worth preserving

  • Clear service information
  • Consistent identity across locations
  • Strong patient-preparation guidance

Possible service fit

A site-by-site commercial cleaning plan could be relevant, subject to confirming current arrangements, access requirements and procurement timing.

Transparent fit score

Strong profile and service-area alignment, supported by multiple fictional public signals. Opportunity evidence remains conditional because the example does not claim a current supplier problem.

Ideal-customer fit
27/30
Relevant opportunity
18/25
Service-area fit
15/15
Evidence quality
12/15
Practical commercial fit
12/15
This is a research-based fit assessment, not a prediction that the business will purchase.

Suggested conversation angle

Ask whether the group reviews cleaning arrangements across locations together and offer a low-pressure comparison based on scheduling and patient-area requirements.

Recommended next step

Verify the organisation, sources and procurement pathway before deciding whether respectful business outreach is appropriate.

Assumptions to verify

  • Cleaning decisions may be coordinated across locations
  • The premises fall inside the provider’s practical travel area
  • No marketing consent has been inferred

Public evidence sources

Confidence: Medium
Responsible prospect research

Evidence for human judgment—not automated outreach.

Lead Scout supports research. It does not turn public information into consent or make private facts appear from nowhere.

  • Uses public business information
  • Does not infer private contact information
  • Does not automatically email or message businesses
  • Does not treat public information as marketing consent
  • Separates observable facts from assumptions
  • Requires human review before any outreach
  • Shows supporting sources
Tailored to the business

Scope the sources, workflow, limits and review process together.

Pricing is confirmed after SwiftNest understands the required workflow and expected usage. API and third-party costs may be separate, and no fixed public AI price is promised.