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Benchmark · AI

AI wrappers, measured: 112 products with real MRR

"AI wrapper" is used as an insult and as a business model at the same time. Our library has 205 AI products; 112 of them publish MRR, the median is $208 and the top decile starts at $10,376. That is lower than the library median of $396 — crowded at the bottom, thin at the top.

Revenue as of 2026-10-30 · sample: 851 products that publish revenue · 435 report a non-zero 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

  • AI products report MRR less often than the rest of the library: 112 of 205, against 435 of 851 overall.
  • The median is $208, below the library-wide $396. A crowded category pulls the middle down, not up.
  • 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.

AI products, by MRR

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

ProductCategoryMRRRevenue · 30d
AEO EngineAI$178,519$202,776
PromptWiseAI$65,600$95,400
Vid.AIAI$47,000$68,000
ApiframeAI$36,054$43,173
AE-intelligenceAI$28,343$26,766
ChatDashAI$18,500$30,083
ADELANTE LTDAI$17,158$14,613
AmICitedAI$15,994$16,690
Low Content AIAI$14,500$17,500
Taja AIAI$13,700$16,750
AlchieAI$12,277$14,211
Esferas.ioAI$10,400$11,667

What this page cannot tell you

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

What is an AI wrapper?

A product whose core function is a thin layer over one or more model APIs: your prompt, UI, billing and workflow wrapped around someone else’s model. We do not treat it as an insult — it is a distribution strategy, and the revenue below is the outcome.

Do AI wrappers make money?

112 of 205 AI products in our library report MRR, median $208; 13 of them clear $10k. The median is below the library-wide $396 — the category is crowded at the bottom and thin at the top.

AI wrapper examples?

The table above lists AI products from our library with their declared MRR. They are not recommendations; they are the population we can measure.

AI wrapper vs AI agent?

A wrapper exposes a model through a fixed workflow; an agent decides its own steps. In our data both are filed under the same category, so we make no claim about which retains users better.

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