AI Indexes
HR AI Index
Index › Products › Uber · October 2026 Edition
1 category · Named, not ranked

Uber

1Judge labels
0First choices
1Negative labels
1 / 14Models named it
1Category
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.7, every buyer segment counted.
Standing
1 label, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Uber was named 1 time in Contingent workforce man, where VectorVMS led with 16%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In contingent workforce man · 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 Uber 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
Contingent workforce managementWorkforce planning and analytics0%118 of 121100%1under 10 labels · led by VectorVMS at 16%=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.

Movement

Since September 2026, Uber held within the floor in its one category: no change cleared 13 points.

Best category · Contingent workforce man · by segment

Mid-market=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 13 pointsRank 97 → 109 of 111

All categories · Mid-market

CategorySeptember 2026NowChangeReadingRank
Contingent workforce man0%0%=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Within noiseRank 97 → 118 of 121

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 13 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 Uber across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500011
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast00000
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500000
GPT-6 Luna00000
Muse Glimmer 30B00000

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
Direct0 labelsNone
Paraphrase0 labelsNone
Comparative0 labelsNone
Budget-constrained0 labelsNone
Scale-constrained0 labelsNone
Negative1 labelNone
First choiceAlternativeMentionNegative1 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.

No positive label carried a quote.

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.

“Uber drivers have filed numerous lawsuits arguing they were misclassified as independent contractors” Claude Haiku 4.5 · Contingent workforce man · negative prompt · hard negative

Named alongside

The products named in the same answers as Uber, over the 1 answer that named it. Took the first choice instead counts the answers where the other product was the first choice and Uber was named but was not.
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ProductSame answerTook the first choice insteadHead to head
Amazon1 of 10Not among the top eight
DoorDash1 of 10Not among the top eight
Grubhub1 of 10Not among the top eight
Handy1 of 10Not among the top eight
Instacart1 of 10Not among the top eight
Instawork1 of 10Not among the top eight
Lyft1 of 10Not among the top eight
Postmates1 of 10Not among the top eight
Qwick1 of 10Not among the top eight
Tend1 of 10Not 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 Uber. 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 1 of the 1 answers that named Uber and are not a share of its labels.

Domains cited

classlawgroup.com1
compunnel.com1
conexisvmssoftware.com1
en.wikipedia.org1
ftc.gov1
go-lifted.com1
hcamag.com1
hrexecutive.com1
innovativeemployeesolutions.com1
jtnylaw.com1

Ten of the ten domain citations in answers naming Uber came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

What it publishes

ShowHide
Addresses on uber.com
54,881
subdomains included
Content
52
counted in the table below
Documentation
1
Product · Integration
1 · 0
KindPagesLast 90 days2025-10 to 2026-09LatestCategories named
Conference or event50undated
News or press2undated
How it is countedHide how it is counted

Every page uber.com 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 Uber

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

Uber is its own company.
ShowHide

In its own words

Stated by the vendor, not checked
Positioning
Learn how you can leverage the Uber platform and apps to earn more, eat, commute, get a ride, simplify business travel, and more.
For
people who want to earn more, eat, commute, get a ride, simplify business travel, and more
Not stated on the pages read
Price, starting price, free plan or trial, integrations, certifications, hosting, customers

What Uber's own pages state, read October 6, 2026: uber.com. 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 Uber'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 Uber, 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 Uber by email, built from the raw record of the edition. It shows:

  • where Uber 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 Uber, 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.

A verification link goes to your work email; an address at uber.com 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.