IT documentation · Named, not rankedGoogle Docs
Named, too few times to rank.
A product needs 10 labels in a category before a share is stated. Google Docs has 2.
Why models recommend it
No positive label carried a quote.
What gives them pause
“Poor version control, hard to organize into a searchable knowledge base”Qwen 3.7 Flash · Negative question · warning
“do not use them for live IT asset tracking or credential management”Gemini 3.5 Flash · Negative question · warning
Also on the shortlist
The products named in the same answers as Google Docs, over the 7 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 7 | 3 | View → | |
| 7 | 0 | View → | |
| 7 | 0 | View → | |
| 6 | 1 | View → | |
| 5 | 0 | View → | |
| 5 | 0 | View → | |
| 4 | 0 | View → | |
| 3 | 0 | View → | |
| 2 | 0 | View → | |
| 2 | 0 | View → |
A side-by-side page exists where both products are among a category's top eight.
At a glance
Stated on Google Docs's own site, not checked by Gane.
- Also from Google Cloud
- Google 2-Step Verification, Google Alerts, Google AlloyDB for PostgreSQL, Google Analytics, Google Antigravity, Google Artifact Registry and 85 more
How this is measured
Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.
Gane sells AI visibility software. No company can pay to change a result.
Read the method →Sources returned with these answers
Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 5 of the 7 answers that named Google Docs and are not a share of its labels.
Domains cited
Twenty-four of the twenty-four domain citations in answers naming Google Docs came from a third party's page.
Pages cited
Pages are listed as the models cited them.
By model
| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 1 | 1 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 0 | 0 | 0 | 0 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 1 | 1 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 0 | 0 | 0 |