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IT AI Index
Index › Products › Airbrake · October 2026 Edition
1 category · Ranked

Airbrake

31Judge labels
0First choices
7Negative labels
10 / 14Models named it
1Category
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.
Best standing
0% in Error monitoring for mid-market buyers
Rank 14 of 42 in the mid-market standingaccepted challenger
0 of 14 models made it the first choice on the direct prompt; 20% of its 10 labels there were negative.
What the models named instead of Airbrake →
By buyer segmentRead the same way at every buyer size.
In error monitoring · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named Airbrake for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
CategoryFunctionShareRankNegative rateLabelsQuadrantSince September 2026
Error and crash monitoringDeveloper platform0%14 of 4220%10accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.

Movement

Since September 2026, Airbrake held within the floor in its one category: no change cleared 11 points.

Best category · Error monitoring · by segment

Small business=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 6 → 8 of 36
Mid-market=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 11 → 15 of 39
Enterprise=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 17 → 46 of 47

All categories · Mid-market

CategorySeptember 2026NowChangeReadingRank
Error monitoring0%0%=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Within noiseRank 11 → 14 of 42

Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.

The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions

By model

How each model treated Airbrake across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
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ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00011
Perplexity Sonar00000
Grok 4.2000101
Mistral Small02002
DeepSeek V4 Flash01001
Llama 4 Maverick01001
Qwen 3.7 Flash00011
Kimi K200101
GLM 4.7 FlashX00000
MiniMax M2.500000
GPT-6 Luna00000
Muse Glimmer 30B01102

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct2 labelsNone
Paraphrase7 labelsNone
Comparative12 labelsNone
Budget-constrained3 labelsNone
Scale-constrained1 labelNone
Negative6 labelsNone
First choiceAlternativeMentionNegative31 labels in all, every segment counted; 0 of the 0 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“If they are looking for a simple crash reporting solution, Airbrake or Raygun may be a better fit.” Llama 4 Maverick · Error monitoring · paraphrase prompt · alternative
“Known for simplicity, speed, and reliability, especially for web developers and backend teams.” Mistral Small · Error monitoring · comparative prompt · alternative
“Airbrake earns the top spot in the 2026 crash reporting ranking” Muse Glimmer 30B · Error monitoring · paraphrase prompt · alternative
“Another strong option is Airbrake” Mistral Small · Error monitoring · paraphrase prompt · alternative

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

“users note that feature development has dramatically slowed compared to agile startups” Gemini 3.5 Flash · Error monitoring · negative prompt · soft negative
“its feature set feels static compared to Sentry or Rollbar” Qwen 3.7 Flash · Error monitoring · negative prompt · soft negative

Named alongside

The products named in the same answers as Airbrake, over the 31 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Airbrake was named but was not.
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ProductSame answerTook the first choice insteadHead to head
Sentry29 of 3119Not among the top eight
Bugsnag25 of 312Not among the top eight
Rollbar24 of 313Not among the top eight
Honeybadger18 of 314Not among the top eight
Datadog Error Tracking17 of 310Not among the top eight
GlitchTip14 of 310Not among the top eight
New Relic Errors Inbox13 of 310Not among the top eight
Raygun11 of 310Not among the top eight
TrackJS8 of 310Not among the top eight
LogRocket7 of 310Not among the top eight
A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named Airbrake. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 31 of the 31 answers that named Airbrake and are not a share of its labels.

Search and answers

airbrake.io is not in Google's top ten for any of the category's searches. In the answers, Airbrake takes 0% of first choices and Sentry takes 76%.
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In search

Google, US estimates
Position for “error monitoring tool”
–
not in the top ten
Position for “error monitoring tools”
–
not in the top ten
Searches for its name, Google
5,400 a month (“airbrake”)
AI search demand for its name, est.
164 a month
Organic visits to its site
about 10,122 a month
Searches its site ranks for
1,722 · 55 in the top three
Sites linking to it
2,416
Paid Google search
No ads found in the estimate; that does not mean it runs none
Ads on Google
None found in Google's ad transparency records for the US

In answers

This edition
Share of first choices
0%
rank 14 of 42 in error monitoring
Segment leader
76%
Sentry
First choices
0 across its categories
Named in
31 answers
Its own site cited
in 31 of the answers that named it

Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.

What it publishes

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Addresses on airbrake.io
664
subdomains included
Content
48
counted in the table below
Documentation
606
Product · Integration
0 · 0
KindPagesLast 90 days2025-10 to 2026-09LatestCategories named
Case study2302023-01-20
Blog9undated
Glossary or explainer702021-10-22
Report or ebook402013-09-24
Comparison202021-01-19
Webinar or virtual event102020-09-28
Podcast or video102016-11-14
News or press1undated
How it is countedHide how it is counted

Every page airbrake.io exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.

Follow Airbrake

An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.

Already following? Everything you follow, with a stop for each.

The company

Airbrake is its own company.
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In its own words

Stated by the vendor, not checked
Positioning
Frictionless error monitoring and performance insights for your entire app stack.
For
Developers
Free plan or trial
Start Free Trial airbrake.io
Customers named
Blinkist
Not stated on the pages read
Price, starting price, integrations, certifications, hosting

What Airbrake's own pages state, read September 28, 2026: airbrake.io. A claimed page can correct any of them.

Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Airbrake's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Airbrake, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

What a new claim receivesHide what a new claim receives

A new claim receives the current edition's vendor brief for Airbrake by email, built from the raw record of the edition. It shows:

  • where Airbrake is named, by buyer and by framing, and which cells hold its first choices;
  • the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
  • its vocabulary against the segment leader's, and the pages the models cited;
  • who was chosen in the answers that did not name Airbrake, and every reason the record gives;
  • a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
  • one page of published figures cleared to show a buyer.
The subscriber app

A verification link goes to your work email; an address at airbrake.io is approved on the spot, any other is reviewed by hand. Your email is never published. Claiming gives no say over labels, shares, verdicts or which quotes appear.