🛰️ SKYSEARCHAI
For sellers, creators and builders who are done guessing

Stop guessing what to sell.
See what's already selling — with the receipts.

Live market research for people who sell things — competitor prices, real customer complaints, supplier costs and profit math, fetched fresh on every search. Every number comes from a live fetch with a link back to the source. When a source can't be reached, it says so — instead of quietly making something up.

Get instant access — $299/month
Cancel anytime · 30-day money-back guarantee
A founder reading live market data
8research engines
19expert prompt frameworks
365pre-researched product ideas
0invented numbers
How it works

Three steps. No guessing at any of them.

01

Search a market

Type a product, an idea, or a keyword. Eight engines go and fetch what is true right now — supplier costs with minimum order quantities, live retail prices, real customer complaints, install counts, verified revenue.

02

Read the honest verdict

Margins computed in code, not narrated by a model. The AI council debates your real numbers and returns ONE recommendation with three first moves — plus the tempting move to avoid. It will tell you when a market is a losing price war.

03

Build the whole business

One click runs all seven frameworks — product, video script, upsells, emails, ads, retargeting, content — against that same real data, and hands you the finished assets as a file you can use today.

The real problem

You're not short on ideas. You're short on proof.

If you're like most people trying to start something, you've got a notes app full of product ideas and no way to know which one is worth a single hour of your life.

Right now: weeks of research across a dozen tabs, ending in a decision you're not confident about.
Instead: one search, and in under two minutes you have live competitor prices, real customer complaints, per-channel margin math, and a single clear recommendation.
Watch first

Watch: why guessing is the most expensive habit in your business

3 min — the whole argument, with real numbers from real scans.

▶ Video sales letter — script written, render pending

The full script is in lib/vsl-script.md, timed to ~3:10 and written in the brand voice. Record it with the ElevenLabs Twin Voice, assemble in the Atelier engine, drop the file at public/vsl.mp4, then flip SITE.vsl.ready to true — this block becomes the player.

Nothing is embedded until the real video exists: a dead player converts worse than no player.

The case for evidence

Better data isn't a nice-to-have. It's the margin.

Independent research, not our marketing. Each finding names its source so you can check it.

5–6%
higher output and productivity

Researchers from MIT and Wharton (Brynjolfsson, Hitt & Kim) surveyed 179 large public firms and found that those adopting data-driven decision-making showed output and productivity 5–6% higher than would be expected from their other investments and IT usage alone.

Brynjolfsson, Hitt & Kim — “Strength in Numbers: How Does Data-Driven Decisionmaking Affect Firm Performance?”
23×
more likely to acquire customers

McKinsey Global Institute research found data-driven organisations are 23 times more likely to acquire customers, 6 times as likely to retain them, and 19 times as likely to be profitable as a result.

McKinsey Global Institute — analytics and competitive performance research
#1
reason startups fail: no market need

CB Insights analysed post-mortems written by failed startup founders. “No market need” was the single most-cited cause of failure — ahead of running out of cash, being outcompeted, or pricing problems. That is a research failure, not a building failure.

CB Insights — “The Top Reasons Startups Fail” post-mortem analysis
~11%
operating profit from a 1% price change

McKinsey pricing research found a 1% improvement in price yields roughly an 11% improvement in operating profit — a larger lever than equivalent gains in volume, fixed costs or variable costs. Pricing by guesswork is the most expensive habit in a small business.

McKinsey & Company — pricing benchmarks
Read those carefully. They're findings about data-driven decisions in general — published by MIT, Wharton, McKinsey and CB Insights. They are not claims about what SkySearchAI did for anyone. When we have our own customer results, they'll appear in this page's testimonial section with names attached, and not before.
Worked examples

Three places guessing quietly costs you money

Arithmetic on the tool's real outputs. Illustrations of the mechanism — not customer results.

The price you were wrong about

Guessing
You price a digital product at $19 because it “feels affordable”.
The data
The scan shows every priced comparable sits at $49, median $49, and your feature list is deeper than two of them.
At 100 sales/month, $19 → $39 is +$2,000/month — $24,000 a year from one number you had no evidence for.

The channel that quietly loses money

Guessing
You list a $9.99 product on Amazon because that is where the volume is.
The data
Per-channel math shows Amazon at −$1.37/unit after referral fees, shipping and cost of goods, while your own store clears +$0.53.
At 150 units/month that is the difference between −$206/month and +$80/month — and you find out before ordering inventory, not after.

The market that was never there

Guessing
You spend six weeks building an app for a category you assumed was underserved.
The data
The scan surfaces 17 established competitors, one with 729,000 ratings, and the real gaps sit in cross-device sync — not the feature you planned.
Six weeks of build time redirected before it is spent. The cheapest product you will ever build is the one you decide not to build.
Why now

The research advantage is temporary.

Building a product has never been cheaper. AI writes the copy, builds the app, designs the assets. That's exactly the problem: everyone can build now, so building stopped being the advantage.

What's still scarce is knowing what to build and what to charge — grounded in evidence rather than vibes. Most people skip that step because real research is tedious and the AI shortcuts hallucinate. The window is open for the people who do it properly, and it stays open exactly as long as everyone else keeps guessing.

Why this exists

Built because every "research tool" was either guessing or gated.

This started as an internal tool, not a product. The problem was simple and infuriating: deciding what to sell meant a dozen browser tabs, a spreadsheet, and a lot of hoping.

The AI shortcut was worse. Ask a chatbot what a product costs or what competitors charge and you get a confident, specific, completely fabricated answer. Numbers that look like research but trace back to nothing. Acting on those is more dangerous than having no data at all.

The paid research suites had real data but wanted hundreds a month, locked the useful parts behind enterprise tiers, and still made you do the interpretation yourself.

So the rule became: fetch it live or say you could not. Every price traced to a listing. Every complaint quoted from a real review. Every margin computed in code, not narrated by a model. When a source is unreachable, the report says so instead of quietly filling the hole.

That constraint turned out to be the whole product. It is why a scan will tell you a market is a losing price war rather than selling you an opportunity that is not there.

The solution

SkySearchAI: a research engine that refuses to make things up.

Type a product, an idea, or a keyword. It goes and fetches what's actually true right now — then tells you what to do about it.

Many scattered signals resolving into one clear direction
The one rule the whole system is built on: every figure comes from a live fetch with a source link, every score is computed in code, and any source that can't be reached is reported as unreached with instructions to check it manually. You will never get a confident invented number. That constraint is the product.
Proof

What it actually pulls — verifiable, every time

These aren't features on a roadmap. Run a search and check the source links yourself.

Real supplier costs, three sources deep

DHgate small-lot, Made-in-China factory wholesale with minimum order quantities, and AliExpress single-unit — so you can see the true cost curve, not one number.

Actual sales velocity

Amazon publishes "N bought in past month" on many listings. The engine reads every one and totals it. A recent scan surfaced 23,900+ units/month moving on a single keyword — a real figure, not a projection.

Real customer complaints, quoted

It reads hundreds of live 1-3★ reviews and pulls the exact wording. Market gaps come from sentences real buyers wrote — never from a model's imagination.

Per-channel profit math, computed in code

Amazon, eBay, Etsy, TikTok Shop and Shopify fees applied to real prices. It will happily tell you a product loses money on Amazon — because sometimes that's the truth.

Results from people using it

PROOF SLOT — customer results Add real customer results in lib/site-config.js → SITE.testimonials. This block stays empty until then: inventing testimonials violates FTC endorsement rules and is the fastest way to lose the trust this page is built to earn.
What you get

Everything included in your membership

Ecommerce Arbitrage Engine

~$120/mo elsewhere

Type a product. It pulls live supplier pricing from three sources (DHgate small-lot, Made-in-China factory wholesale with MOQs, AliExpress single-unit), live retail listings with images and ratings, and computes profit per unit on Amazon, eBay, Etsy, TikTok Shop and Shopify using published fee schedules.

  • See buy price, sell price and take-home profit side by side
  • Real sales velocity from Amazon's own "bought in past month" data
  • Honest verdicts — it will tell you when the margin does not survive fees

App & Digital Market Intelligence

~$100/mo elsewhere

Deep-dive any app or digital-product market: every competitor with screenshots, pricing, install counts and in-app purchase tiers, plus hundreds of real user reviews mined for the complaints that reveal market gaps.

  • A feature matrix marking what is table stakes versus what nobody ships
  • Gaps traced to actual 1-star review quotes, never invented
  • A one-shot build prompt that targets those exact gaps

The AI Council

not sold separately

Four expert perspectives — growth, fulfillment, finance and risk — debate your real scan data in the background and return ONE recommendation with three concrete first moves, not a menu of options.

  • One direction, at most one alternative, and the specific trap to avoid
  • Every number in the recommendation traced to your scan data
  • An explicit confidence rating with what would change it

Product Validation & Grading

~$60/mo elsewhere

Submit your own product idea, price and upsell plans. It grades every element against live market comps and returns a four-way verdict: BUILD IMMEDIATELY, BUILD WITH IMPROVEMENTS, TEST BEFORE BUILDING, or DO NOT BUILD.

  • Your price checked against the real market median
  • Each of your own ideas graded with the evidence behind the grade
  • A counter-proposal for every rung you left weak or blank

The Prompt Vault (19 frameworks)

~$70/mo elsewhere

Expert frameworks for every stage — demand-gap research, validation, naming, pricing, funnel building, lead magnets, sales letters, email sequences, ebooks and more. Pick any saved scan and the prompt downloads pre-filled with that scan's real data.

  • Prompts arrive loaded with your live competitor prices and review quotes
  • Fields the scan cannot answer stay marked, never invented
  • Copy or download as markdown for any AI tool

The 365-Idea Bank

~$50 one-time elsewhere

Pre-researched digital product ideas across every major niche, each with its hook, pain point, format, price band, order bump, upsell and difficulty rating — searchable, with one-click handoff into a live market scan.

  • Skip the blank page when you need a starting point
  • Every idea can be validated against live data in one click
Ecommerce Arbitrage Engine~$120/mo elsewhere
App & Digital Market Intelligence~$100/mo elsewhere
The AI Councilnot sold separately
Product Validation & Grading~$60/mo elsewhere
The Prompt Vault (19 frameworks)~$70/mo elsewhere
The 365-Idea Bank~$50 one-time elsewhere
Comparable tooling cost$400+/mo

Those figures are what the equivalent standalone tools charge publicly — links in the FAQ. They're a comparison, not a discount gimmick.

Your investment

One plan. Everything unlocked.

$299/month
Founding-member launch price — going to $999/month. You keep $299 for as long as you stay subscribed.
Comparable tools separately: $400+/mo
  • Unlimited searches across all 8 research engines
  • Ecommerce arbitrage with 3-source supplier pricing + MOQs
  • App & digital-product market deep-dives with real reviews
  • The AI Council — one clear recommendation, not a menu
  • All 19 expert prompt frameworks, pre-filled with your scan data
  • The 365-idea bank, searchable, one click to research any of them
  • Your dashboard, saved searches and full scan history
  • Every new engine added while you're a member
That's about $9.97/day — less than a coffee — for the research layer under every decision you make.
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30-DAY GUARANTEE

Run real searches. If it doesn't pay for itself, don't pay.

Use it for 30 days. Run scans on your actual products and ideas. If it hasn't shown you something you didn't already know — a price you were wrong about, a channel that loses money, a gap worth building into — email support@skysearchai.com with the subject REFUND and you get every cent back.

No forms, no interrogation, no "let me offer you a discount first". You keep every report you generated.

Straight talk

No countdown timer. Here's the real cost of waiting.

There's no fake scarcity on this page — no expiring bonus stack, no "3 spots left" counter that resets when you reload. That stuff is manipulative and, in several jurisdictions, illegal.

The honest urgency is this: every week you spend guessing is a week of decisions made without evidence. Products priced wrong. Inventory ordered on a hunch. Weeks building something the market already said no to. Those costs are real, they compound, and no refund covers them.

Start now — $299/month
30-day guarantee · cancel anytime
Questions

Everything else you're wondering

Who is this actually for?

People making real decisions about what to sell: ecommerce and dropship sellers, digital product creators, indie app builders, and anyone validating an idea before sinking time into it.

Not for you if you want a push-button money machine. This is a research instrument — it tells you the truth, including when the truth is "this market is a graveyard, don't enter."

How is this different from asking ChatGPT?

A chatbot generates plausible-sounding numbers from training data. It cannot tell you what a supplier charges today, and it will not tell you when it doesn't know.

This fetches live data, shows the source link for every figure, computes the math in code rather than in a language model, and prints an explicit coverage ledger of what it reached and what it couldn't. The AI only reads and reasons over evidence it was handed.

What data sources does it actually use?

Live: Amazon, DHgate, Made-in-China, AliExpress, Gumroad, TrustMRR (Stripe-verified revenue), the Apple App Store and Google Play (including real review text), YouTube, and open-web semantic search.

Some sources are paid or login-gated (FastMoss, Kalodata, eBay's API). Those are supported but switched off until you supply your own credentials — and the report says plainly that they're off rather than pretending the data doesn't exist.

Do I need technical skills?

No. You type a keyword or describe your product and read the report. The optional integrations (extra data sources) are copy-paste API keys with instructions.

Where do the "comparable tooling cost" numbers come from?

Public list prices of the standalone tools that cover each function — competitor research suites, app-store intelligence, supplier databases, and prompt libraries. They're a like-for-like comparison, not an inflated "value stack." Check them yourself; that's the point.

Can I cancel?

One click inside your account, any time. Stripe handles it directly — no email required, no retention call. You keep access through the period you already paid for.

Is my data private?

Your searches and scan history are yours. Passwords are stored as salted scrypt hashes and are never readable — not even by us. Payment card details never touch this server; Stripe handles checkout on their own hosted page.

What if a data source is down when I search?

The report tells you. Every scan ends with a coverage ledger listing every source, whether it was reached, and what it found. Unreachable sources become an explicit "[UNKNOWN]" with manual instructions. You'll never get a silently-guessed number in place of a missing one.

Your call

Two ways this goes.

Keep guessing. Another quarter of ideas that never get validated, prices set by feel, and inventory ordered on hope. You'll still be asking the same question in six months.
Decide on evidence. Every product, price and channel checked against what the market is doing right now — before you commit money or months to it.
Get instant access — $299/month
Instant access · secure Stripe checkout · cancel anytime
P.S. There's no countdown on this page because the offer isn't going anywhere. What is going somewhere is the time you spend deciding without data.
P.P.S. The 30-day guarantee means the only thing you're risking is the few minutes it takes to run your first search. Run it on a product you think you understand — that's usually the one that surprises people.
P.P.P.S. Still deciding? Email support@skysearchai.com with what you're trying to figure out and you'll get a straight answer about whether this helps — including "it won't" if that's the case.