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Benchmark · AI

AI Product Revenue: What 112 AI Tools Actually Earn

AI Product Revenue across 112 tools with non-zero MRR (as of 2026-10-30): median $208, top decile from $10,376 — below the library median $396. "AI wrapper" is one theme inside this AI set (also vertical tools, model resellers, agent products), not a claim that every row is a wrapper.

  • Revenue as of 2026-10-30
  • 851 products
  • 435 report MRR

AI products

205

of 851 in the library

Publishing MRR

112

54.6% of AI products

Median MRR

$208

library median $396

The short answer

  1. 01

    AI products report MRR less often than the rest of the library: 112 of 205, against 435 of 851 overall.

  2. 02

    The median is $208, below the library-wide $396. A crowded category pulls the middle down, not up.

  3. 03

    The ceiling is real: 13 AI products clear $10k, and the top decile starts at $10,376. So both stories are true — there is money, and most products do not find it.

What "AI wrapper" means here

A product whose core value is a workflow wrapped around one or more model APIs: your prompt, interface, billing and integrations in front of someone else’s model. We do not treat that as a lesser business — distribution is the hard part, and a wrapper that finds a buyer is doing the hard part.

TypeWhere the value sitsWhat decides revenue
Workflow wrapperThe steps and defaults around the modelNiche fit and switching cost
Vertical toolA job in one industryBuyer budget in that industry
Model resellerCheaper or unified accessMargin and rate limits
Agent productAutonomy over stepsTrust and output reliability

All four are filed under one category in our data, so this table is a reading aid, not a measurement.

AI vs the whole library

SegmentProductsPublish MRRMedianTop 10%≥ $1k≥ $10k
AI205112$208$10,3763213
Whole library851435$396$28,32617993
One-person products7637$64$1,24241

Different denominators: each row uses its own segment. Never compare median across rows without checking the "publish MRR" column.

How the money arrives

The distribution answers "how much". The mechanics answer "how": a small monthly price multiplied by the handful of users a new tool gets, in front of a model bill that scales with usage while the price does not.

  1. 01

    93 of 205 AI products report no MRR at all — zero or missing. That is a different failure from "too little": those products never reached a recurring billing event worth publishing.

  2. 02

    At $208 MRR a heavy-usage tool can lose money on its busiest users. We do not carry model costs, so we will not put a number on it — but "cheap subscription, unlimited usage" is a plan to subsidise them.

If you are starting one

The usual answer to "how to use AI to make money" starts with "build a wrapper". Building is the slowest route to a first dollar, and most AI products in this sample never report one. Ordered by how fast money actually arrives:

  1. 01

    Sell the outcome to a business that already has a budget — an automation job, a cleanup, a workflow that saves hours. First payment in weeks, and the buyer never has to understand your model choice.

  2. 02

    Use the same tools to deliver a service you already sell. The skill is the product; the model is only the speed.

  3. 03

    Only then build the tool. It has the highest ceiling here and the lowest hit rate: 28.6% of reporting AI products clear $1k, against 41.1% across the library.

We have no revenue sample for the first two paths, which is why this is an order of payment and not a ranking of returns. The third path is the one this page measures.

Research buckets

AI products by revenue stage

These stages are research filters for studying products — not a universal success ladder. Snapshot authority (as of 2026-10-30): library 851 / non-zero MRR 435 / median $396; AI segment 205 products / 112 with MRR. Live stage counts below use LISTABLE cards with primary_market=AI and published MRR > 0 (n=169 of 184 AI listable) and may differ from the snapshot.

AI products, by MRR

12 AI products from the same sample. They are not recommendations; they are the population we can measure, and each row links to its own report.

  1. 1

    Chatbase

    Uncategorised

    $864,000

    30d $645,833

  2. 2

    $241,149

    30d $210,691

  3. 3

    $187,116

    30d $196,665

  4. 4

    Prosp

    Uncategorised

    $128,000

    30d —

  5. 5

    LLM Gateway

    Uncategorised

    $78,800

    30d $83,250

  6. 6

    $66,796

    30d $94,882

  7. 7

    $51,278

    30d $55,238

  8. 8

    $51,101

    30d $54,369

  9. 9

    $50,442

    30d $38,656

  10. 10

    VirtualJK

    Uncategorised

    $48,500

    30d $70,167

  11. 11

    $44,848

    30d $55,084

  12. 12

    $40,177

    30d $95,664

Benchmark snapshot · as of 2026-10-30. MRR here can differ from Latest Snapshot on live product cards or Historical Snapshot inside a dated Business Report.

What this page cannot tell you

  1. 01

    Margin. Revenue is in our fields; model cost, hosting and support are not. A $20k MRR wrapper can be less profitable than a $2k one.

  2. 02

    Retention. We do not collect churn or cohort data, so "does it last" is not answerable here.

  3. 03

    Whether the label applies. Plenty of products use a model and are not wrappers; the category is assigned by the product, not by us.

The useful question

Not "do wrappers make money" — 13 of them do. The useful question is which of the four shapes above your product is, because each has a different ceiling and a different reason to churn.

Questions people actually search

Next

More businesses worth researching

Browse the revenue library, or see what a single report covers.

Method

851 products in our library that publish revenue through a payment provider, crawled 2026-10-30. 435 of them report a non-zero MRR; medians and percentiles are computed on that subset only. Missing values are never treated as zero. This is the population that chooses to publish revenue — not the whole market.

Full method and limits