Ad research, automated

Find winning products without scrolling for hours.

Manual ad research takes 10–15 hours a day. furet.io scans millions of ads, runs every check a pro would, and surfaces only the products worth your test budget.

Start a scan See how it works

Live scans AI verdict Shopify-aware

Live scan · 23m elapsed Running

Scrape

67%

Marlowe & Co

Linen overshirt — coastal collection

2.4Mlikes

4dactive

NorthBrew

Cold-brew system for small kitchens

340Klikes

8dactive

Restore PT

Posture brace — daily wear

89Klikes

2dactive

Glow Lab

Vitamin-C serum with built-in dropper

1.1Mlikes

6dactive

The math doesn't work

12hours a day, scrolling.

Top dropshippers spend 10–15 hours a day scrolling the Meta Ad Library, checking page ages, product launch dates, active ad counts, store signals. Eyes burning, by hand.

Step 1 Type a search term. Try ten variations. Add filters.

Step 2 Open each ad. Click through to the landing page. Bounce.

Step 3 Open the brand's Facebook page. Find when it was created.

Step 4 Check whois for the domain registration date.

Step 5 Count active ads on the page. Note the creative variant count.

Step 6 Log it in a spreadsheet. Come back tomorrow. Repeat.

→ furet.io does all of it, on every ad, continuously.

How it works

Three steps. The middle two are already done.

You set the keywords. The pipeline scans, filters, and ranks. You approve the winners. No spreadsheets, no scrolling.

01 / SCAN

Pick keywords. Hit start.

Drop in the search terms you'd type into the Ad Library yourself — "shop now", "% off", pain-relief variations, anything. Pick your impression-date window and how many ads to pull.

02 / FILTER

Every signal, automatically.

Each ad runs through page-age, domain-age, product-launch, store- detection, active-ad-count, and AI relevance checks. Junk is dropped before you ever see it.

03 / APPROVE

You make the call.

Survivors land in your candidates queue with the full signal stack visible. Approve to promote, reject to drop, or move back any time. Never an algorithm pretending to know.

Built for product researchers

The things you'd check by hand — done first.

AI verdict

Every candidate is judged for relevance and product-market fit. The AI's reasoning is shown — no black box, no "trust us".

Hugging Face · open model · transparent

Every signal, automated

Page age, domain age, active ad counts, creative variants, product launch dates, store identification — all of it, checked for you.

10+ signals per candidate

Continuous discovery

Scans run as long as you want, across millions of ads. A fresh winner the moment it appears — never miss the 48-hour window.

Real-time stream

Shopify-aware

Pulls the actual product name, launch date, image, and store metadata directly from the Shopify product JSON.

Live product fetch

Impression-date filter

Limit scans to ads that first appeared in your chosen window. Same start-date field Facebook records — the real freshness signal.

Per-scan, brand-fit picker

Editorial review

You stay in the loop. Approve, reject, or move ads with one tap. Every change is reversible. Your queue, your call.

Status-aware modal

What we check, on every ad

Twelve signals. One scan. Zero spreadsheets.

PageCreation date

DomainWhois registration

ProductShopify launch date

AdFirst impression date

VariantsCreative count per ad

Active adsTotal on the page

StoreShopify detection

Subdomainmyshopify identification

ImageProduct photo pulled live

CTAButton-type classification

PlatformsFB / IG / Audience Net

AI verdictRelevance + market fit

Pricing

Pay for the scans, not the seats.

Two plans. No per-user pricing. Bring as many teammates as you want.

BASIC

$49 / month

250K ads scanned per month. AI verdict on every candidate. Live scans, editorial review, full signal stack.

Start with Basic

PRO

$149 / month

1M ads scanned per month. Everything in Basic + priority scan queue, longer keyword history, CSV exports.

Start with Pro