Index › Finance › Products › WinBill · November 2026 Edition
Telecom expense management · Named, not ranked

WinBill

–Too few to rank
5/14Models named it
1First choices
3Warnings
November 2026 Edition · all company sizes counted.
Ranked inTelecom expense management #96 mid-market
What AI models recommend

Named, too few times to rank.

A product needs 10 labels in a category before a share is stated. WinBill has 1.

Why models recommend it

No positive label carried a quote.

What gives them pause

“Legacy or Low-Review Tools (e.g., older systems like WinBill by TeleManagement Technologies...): These often have zero or very few verified reviews.”Grok 4.20 · Negative question · warning

Also on the shortlist

The products named in the same answers as WinBill, 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 WinBill 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 WinBill and are not a share of its labels.

Domains cited

capterra.com4
g2.com4
getapp.com4
softwareadvice.com4
softwareadvice.co.uk3
sourceforge.net3
capterra.ae2
capterra.co.uk2
capterra.in2
gane.ai/indexpublisher (Gane)2

No domain is on file for WinBill, so its own site is not marked. Two were to the publisher's own pages (the Gane Index), which the models cite like any other source; they are not counted as a third party.

Pages cited

Pages are listed as the models cited them.

By model

How each model answered on WinBill 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 Sonar00000
Grok 4.2000011
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