Index › HR › Products › Outlook · November 2026 Edition
2 categories · Named, not ranked

Outlook

–Too few to rank
5/14Models named it
0First choices
5Warnings
November 2026 Edition · all company sizes counted.
Ranked inWorkforce scheduling #123 mid-marketInterview scheduling #40
What AI models recommend

Named, too few times to rank.

A product needs 10 labels in a category before a share is stated. Outlook has 3.

Why models recommend it

“or Google Calendar Booking Links (if you are already a G-Suite shop)”Qwen 3.7 Flash · Budget-constrained question · alternative

What gives them pause

“Avoid using simple shared calendar apps (like basic Google Calendar or Outlook) for project management or complex team scheduling.”Mistral Small · Negative question · warning
“Google Calendar or Outlook may handle internal meetings, but they typically lack service menus, client self-booking, payments, and appointment workflows.”Perplexity Sonar · Negative question · warning

Also on the shortlist

The products named in the same answers as Outlook, over the 6 answers that named it, and how often each was the first choice instead.

A side-by-side page exists where both products are among a category's top eight.

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

The sites and pages the answers that named Outlook came back with. A fact about retrieval, not a cause of the answer.

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 6 of the 6 answers that named Outlook and are not a share of its labels.

By model

How each model answered on Outlook across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ModelFirst choiceAlternativeMentionWarningLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00011
Grok 4.2000000
Mistral Small00011
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash01001
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500000
GPT-6 Luna00000
Muse Glimmer 30B00000