Skip to main content
Methodology

How the AIME Score works

One 0 to 100 score for every AI tool: what goes into it, what never does, and how it updates.

Updated daily

The short version

Every AI tool on AI Made Easy gets one score from 0 to 100. Every tool is measured the same way on the same scale, so you can sort by it and compare tools side by side. It answers one question: how much real evidence is there that people doing this kind of work are happy with this tool?

What goes into it

Four kinds of signal, combined with fixed weights that are the same for every tool:

1What users say

The average rating from verified user reviews on established review platforms.

2How many people rely on it

A 5-star average from 4 reviews is not the same as from 4,000. Tools with few reviews are pulled toward their category's typical rating, and tools with a large base of real users earn credit for it.

3Its own category

A tool is compared with tools that do the same kind of work, not with every AI tool. A great note-taker is not marked down because coding tools rate higher.

4Launch momentum

For newer tools, how strongly the maker community backed its launch, such as Product Hunt upvotes. It counts for less than user reviews.

Reading the number

80+

Stands out in its category, with the reviews to back it up.

65 to 79

Solid. Around 70 is typical for a well-reviewed tool in its category.

Under 65

Below its category's typical rating, or still short on evidence.

The score is a starting point, not a verdict. Read the Spotlight or profile, check the price, and try it on your own work.

The labels next to it

Proven

Established and well rated: 4.0★ or better from 25 or more verified reviewers. Only Proven tools lead our top picks and starter kits.

Mixed reviews

Plenty of reviews (25 or more), but rated under 4.0★. Read the reviews before you buy.

Few reviews yet

Listed and rated, but with fewer than 25 reviews. Treat the score as early.

New launch

Launched on Product Hunt in the last 90 days, so there is no track record yet. Scored mostly on launch momentum.

Not yet reviewed

Listed, but no verified reviews yet (for example a launch older than 90 days). Not scored on old launch buzz.

Not yet scored

Not enough data to score fairly. We show that rather than guess.

What never affects the score

  • Being a partner, or paying us anything
  • Featured Apps and Editor's Picks placements
  • Whether we earn a commission on the link
  • Our own write-ups and opinions in Spotlights
  • The "Best for" labels (they help you filter, not rank)

Paid links are always labeled. See how we choose Featured Apps.

How often it updates

Scores are recalculated every day. Review ratings and counts are refreshed on a rolling schedule, and new launches are picked up daily. When a tool gets new reviews, its score moves on its own. Nobody adjusts scores by hand.

We keep the exact weights and formulas private so the score can't be gamed. The ingredients above are the whole list.

Make an AI tool? Here's what moves your score

Get your tool featured

Questions

Why does a tool with a 4.8 rating score lower than one with a 4.6?

Usually because the 4.8 comes from a few dozen reviews while the 4.6 comes from thousands of users. The score rewards tools that are both well rated and widely relied on, so established category leaders are not pushed down by small, newer tools.

Why are brand-new tools scored at all?

So you can find them. For their first 90 days, new launches are labeled clearly and scored mostly on launch momentum; after that, a tool without verified reviews is labeled Not yet reviewed and is not scored on old launch buzz. Scores firm up as real reviews come in.

Where does the review data come from?

Verified reviews from established software review platforms, plus launch data from Product Hunt. See Legal & Data Transparency for more.

Can a company pay for a better score?

No. Partners can buy a featured spot, which is always labeled. They keep the same score as everyone else.