HR AI Index
Index Vendors › Google Docs · September 2026 Edition
2 categories · Named, not ranked

Google Docs

5Judge labels
0First choices
2Negative labels
4 of 12Models named it
2Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.1, every buyer segment counted.
Standing
3 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Google Docs was named 3 times in Course authoring tools and 1 other category, where Articulate 360 led with 22%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In course authoring tools · 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 Google Docs 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 rateLabelsQuadrant
Course authoring toolsLearning and development0%72 of 8650%2under 10 labels · led by Articulate 360 at 22%
Employee onboardingOnboarding and employee experience0%55 of 1040%1under 10 labels · led by BambooHR at 29%

Movement

This is the first edition on this tier, so no move can be computed for Google Docs yet. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated Google Docs across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00112
Grok 4.1 Fast00000
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00101
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500000

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
Paraphrase1 labelNone
Comparative1 labelNone
Budget-constrained1 labelNone
Scale-constrained0 labelsNone
Negative2 labelsNone
First choiceAlternativeMentionNegative5 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.

“the sources specifically caution against Google Docs for long creative projects” Perplexity Sonar · Course authoring tools · negative prompt · hard negative

Named alongside

The products named in the same answers as Google Docs, over the 5 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Google Docs was named but was not.
ProductSame answerTook the first choice insteadHead to head
Adobe Captivate3 of 50Not in the top three
Articulate Storyline2 of 51Not in the top three
Canva2 of 51Not in the top three
Articulate Rise 3602 of 50Not in the top three
Confluence2 of 50Not in the top three
Notion2 of 50Not in the top three
Lucidchart1 of 51Not in the top three
Zoho People1 of 51Not in the top three
Adobe RoboHelp1 of 50Not in the top three
Asana1 of 50Not in the top three
A head-to-head page exists where both products are in a category's top three. 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 Google Docs. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 4 of the 5 answers that named Google Docs and are not a share of its labels.

Domains cited

elearningindustry.com3
learnopsrev.com2
reedsy.com2
adlnet.gov1
adoc-studio.app1
aigrowthagent.co1
appadvisor.in1
atomisystems.com1
author-it.com1
blog.hubspot.com1

Fourteen of the fourteen domain citations in answers naming Google Docs came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Names read as Google Docs

What the judge wrote, as written, with how often. The vendor table decides that these count as Google Docs; a claim can dispute any of them.
DocuSign + Google Docs 1
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 Google Docs'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 Google Docs, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at google.com is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.

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