Lead Finder
TurboAgents Lead Finder is an AI tool that returns a list of matching businesses — name, address, category, phone, website and owner name where those exist — each scored on how complete and how actionable the record is, so a morning of calls starts at the top of the list instead of with a spreadsheet triage.
A list of real businesses, sorted by who’s actually worth calling first.
Describe the kind of business you sell to and where, and you get back a scored, sorted list with the contact details that genuinely exist. Missing fields are shown as missing, never invented. Filter to complete records only, export to CSV, and start dialling.
A lead is only a lead if you can actually reach a person.
Lead generation for local and small-business selling comes down to one thing: a list of the right kind of business, with enough contact detail on each one that you can start a conversation today. Everything else — the segmentation, the intent modelling, the enrichment waterfalls — is downstream of that.
The part that quietly wastes the most time isn’t finding businesses. It’s working out which of the 200 rows in front of you are worth a call. A record with a named owner and a working phone number is a different proposition from a record with nothing but a contact form, and treating them the same is how a morning disappears. Lead Finder scores that difference before you ever open the list. Here’s what the score is made of:
- Lead score
- A 0–100 figure calculated from how complete and how actionable a record is — not a guess at how likely they are to buy.
- Complete record
- A business with a named contact, a working phone number, a live website and a category that matches your target.
- Named contact
- An actual person to ask for. It’s the single biggest difference between a call that starts and a call that ends at reception.
- Priority tier
- High, medium or low — the score turned into an instruction about where to start on Monday morning.
Most lead lists are a wall of business names with a contact form behind each one. Nothing tells you which rows have a person you can ask for and which are dead ends, so you triage manually — or worse, you buy a list where the missing emails have been quietly guessed for you, and you burn your domain reputation finding out.
How It Works
This is the list, in the order you should work it.
| Score | Priority | Contact | Website | |
|---|---|---|---|---|
| Harbour Lane Café | 92 | High | +44 20 •••• · owner named | harbourlane.co |
| The Reading Room | 78 | High | phone only | thereadingroom.uk |
| Corner Bean | 41 | Low | website only | cornerbean.co.uk |
- ▸Harbour Lane scores 92 — complete contact record, a named owner, an active website, and a category that matches the brief exactly.
- ▸The Reading Room scores 78 — a working phone number, but no named contact, so the call starts at reception.
- ▸Corner Bean scores 41 — no phone and no named contact. You’d be emailing a form, which is why it sits at the bottom rather than being hidden.
- ▸Filters available on the list: show only complete records · show only records missing contact details.
Sample output — illustrative. Business names, scores and contact details here are invented for demonstration; a real run searches live.
What You Get
- A List of Matching Businesses — Name, address and category for each one, matched against the brief you described.
- The Contact Details That Exist — Phone, website, email and owner name — wherever they’re publicly available.
- A Calculated Lead Score — Zero to 100 per record, computed from completeness and actionability by our own rules.
- A Priority Rating Per Lead — High, medium or low, so the list arrives already triaged.
- The Reasoning Behind Each Score — Why this record scored 92 and that one scored 41 — in a sentence, not a black box.
- Completeness Filters — Show only complete records, or only the ones missing details you can go and find.
- Honest Gap Flags — Every missing field marked as missing rather than filled with a plausible guess.
- Sorted Output — The list arrives ordered by score, so the first call of the day is the best one available.
- CSV Export — Clean columns, ready for your CRM, your dialler or a mail merge.
Ask a chatbot for local leads and it will confidently make up the phone numbers.
This one goes and looks, then tells you exactly what it found and what it didn’t. The score is arithmetic on real fields, the gaps stay visible, and nothing gets invented to make a row look better than it is.
The score is arithmetic, not an opinion
Each record is scored on what’s actually in it — a named owner and a working phone beat a contact form, every time, and a category that matches your brief exactly beats one that nearly does. Our rules do the maths on the finished record. The AI doesn’t get to decide which of its own leads are good.
It shows you the gaps instead of filling them in
Where a field doesn’t exist, it’s marked as missing and left alone. This is a deliberate refusal: a guessed email address costs you a domain reputation and a spam complaint, and an empty cell costs you nothing. You always know which of these you’re looking at.
It arrives in the order you should work it
The list is sorted before you see it, so a morning of calls starts at the top and works down instead of beginning with twenty minutes of spreadsheet triage. Low-scoring records stay on the list — they’re just honestly placed at the bottom where they belong.
It exports where you actually work
The list comes out as clean CSV with one column per field, so it goes straight into a CRM import, a dialler, a spreadsheet or a mail merge without a cleanup pass first. No copy-paste out of a chat window, no reformatting.
AI vs. a lead-gen agency vs. a B2B database subscription.
| TurboAgents | Lead-gen agency | B2B database | |
|---|---|---|---|
| Turnaround | ~90 seconds | 3–10 days | Instant |
| Cost | From $29/mo | $1–$5 per lead | $100–$1,000/mo |
| Scored and prioritised | Yes — calculated | Sometimes | Sometimes |
| Missing data shown honestly | Yes — never invented | Varies | Varies |
| Scoring logic visible | Yes, per record | Rarely | Rarely |
| CSV export | Yes | Yes | Yes |
| Re-run for a new area | Anytime | New engagement | Within your seat limits |
| Best for | Local and SMB prospecting | Volume outbound | Enterprise B2B |
Use Cases
- →
Agency prospecting locally — Build a call list of the exact kind of business you already serve well, in a city you want to grow in, before lunch.
- →
Field sales planning a week — Get a scored list by area so the route is built around the records that actually have a person to ask for.
- →
Founder doing their own outbound — Skip the database subscription for a one-off push — describe the target, get the list, make the calls.
- →
Service business entering a new town — See how many businesses of your type are there and how reachable they are before committing to the expansion.
- →
SDR who needs the list triaged — Start at the top instead of spending the first hour of the day deciding where to start.
- →
Anyone burned by a bought list — Work from records where the gaps are visible, rather than discovering the guessed emails after the bounce rate spikes.
Frequently Asked Questions
Publicly available business listings, directories and company websites — the same places you’d look manually, gathered and structured in one pass. No private data and no account access.
By our own rules, applied to the finished record: whether there’s a named contact, whether there’s a direct phone number, whether the website is live, and how exactly the category matches your brief. It’s arithmetic on real fields, which is why two records are genuinely comparable — the AI can’t award its own leads a grade.
We publish the email addresses that are actually published. We do not generate pattern-guessed addresses to fill a column, so if a business hasn’t put an email anywhere public, that cell stays empty. For verification of the addresses you do get, run them through a verification service before a bulk send.
The field is marked as missing and the record scores lower for it. Nothing is invented. You can also filter the list specifically to the incomplete records if chasing down a phone number is worth it for a business you really want.
Yes — by completeness (only records with a full contact set), by the inverse (only records missing details), and by priority tier. The list also arrives sorted by score by default.
It depends on how many businesses genuinely match your brief in the area you’ve specified. A tight local brief typically returns a few dozen. We’d rather hand you 34 real matches than pad the list to a round number.
Local and SMB prospecting is where it’s strongest — independent operators, service businesses, retail and hospitality, where the decision-maker is reachable by phone. For enterprise account-based selling with org charts and intent data, a specialist B2B database is the better fit.
Yes. The export is clean CSV with one column per field, which imports into any CRM, dialler or spreadsheet without a cleanup pass first.
No. You describe the target and the area — there’s no login, no API connection and no seat licence involved.
You’re refunded automatically. If the AI can’t complete a run, the tokens return to your account and you aren’t charged for a broken result.
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