Index › Finance › Spend and procurement › Telecom expense mgmt › Genuity vs LINQ Qonnect
Telecom expense management · November 2026 Edition

Genuity vs LINQ Qonnect

Zero of fourteen models named Genuity first on the direct prompt; zero named LINQ Qonnect. Genuity was named by nine of the fourteen models and LINQ Qonnect by nine and both carry 15 labels, so the shares below are directly comparable.

Genuity

accepted challenger

Named in one category this edition.

LINQ Qonnect

accepted challenger

Named in one category this edition.

First-choice share14%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate7%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#5A position in a field of 12; printed, not drawn.
Labels1515Equal, which is what makes the shares comparable.
The two percentage rows are drawn on one 0 to 100 track, Genuity reading right to left. Rank and label count are printed, not drawn.Brightfin was named alongside these two in ten of the fourteen direct answers. vCom Solutions vs Genuity · vCom Solutions vs LINQ Qonnect · Brightfin vs Genuity

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the telecom expense management page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
GenuityFirst choices, of fourteen modelsLINQ Qonnect
Direct00
Paraphrase12
Comparative00
Budget-constrained70
Scale-constrained00
Negative001 against Genuity
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Genuity and LINQ Qonnect stood in it.
ModelDirectLQParaphraseLQComparativeLQBudget-constrainedLQScale-constrainedLQNegativeLQ
Claude Haiku 4.5
GPT-5.4 miniLQ
Gemini 3.5 Flash
Perplexity SonarLQ
Grok 4.20LQLQLQ
Mistral SmallLQ
DeepSeek V4 FlashLQ
Llama 4 Maverick
Qwen 3.7 FlashLQ
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5LQLQ
GPT-6 Luna
Muse Glimmer 30BLQ
GenuityLQ LINQ Qonnect first choice named as an alternative argued againstblank: not namedEach cell is one answer, Genuity on the left and LINQ Qonnect on the right.

The direct prompt

The plain question, one answer per model, grouped by where Genuity and LINQ Qonnect stood in it.

Neither was the first choice, one was named

1 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Grok 4.20Brightfin alternatives: ExpenseLogic, Genuity, Mobil, zLinq

Neither was named

13 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Mindglobal alternatives: Calero, ClearSight, Lightyear, Sakon, vCom Solutions
GPT-5.4 miniValicom Clearview, vCom Solutions alternatives: Brightfin, Sakon TEM, Tangoe One Telecom
Gemini 3.5 FlashvCom Solutions alternatives: Brightfin, Calero, Mindglobal, Sakon
Perplexity SonarvCom Solutions alternatives: Lightyear, Upland Cimpl
Mistral SmallBrightfin, ExpenseLogic alternatives: Motus
DeepSeek V4 FlashExpenseLogic alternatives: Brightfin, Temforce
Llama 4 Maverickno first choice
Qwen 3.7 FlashBrightfin, Tangoe One Telecom alternatives: ExpenseLogic, Mobil
Kimi K2vCom Solutions alternatives: Brightfin, ExpenseLogic, Tangoe One Telecom
GLM 4.7 FlashXExpenseLogic, OneBill alternatives: Brightfin, Motus, Temforce
MiniMax M2.5Brightfin alternatives: ExpenseLogic, vManager
GPT-6 LunaClearview alternatives: Upland Cimpl, vCom Solutions
Muse Glimmer 30BMindglobal, vCom Solutions alternatives: Brightfin, Calero, ExpenseLogic, Valicom

Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Genuity leads by thirty-three points.
Genuity35%#1 of 15
LINQ Qonnect2%#10 of 15
The full small business standing →
Mid-marketThe figures above
Genuity leads by eleven points.
Genuity14%#3 of 12
LINQ Qonnect4%#5 of 12
The full mid-market standing →
Enterprise
The order flips: LINQ Qonnect leads at enterprise.
LINQ Qonnect2%#– of 12
Genuity0%#– of 12
The full enterprise standing →

What the models said about Genuity

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.

“Reasonable for smaller organizations, but likely to be outgrown by companies with complex, large-scale telecom environments.” Perplexity Sonar · negative prompt · soft negative
“Genuity stands out as the best telecom expense management (TEM) platform for a company with a limited budget” Grok 4.20 · budget prompt · first choice
“the best telecom expense management platform for a company with a limited budget is Genuity” Claude Haiku 4.5 · budget prompt · first choice
“Top Recommendation: Genuity ... most budget-friendly comprehensive TEM solution” GLM 4.7 FlashX · budget prompt · first choice

What the models said about LINQ Qonnect

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.

“vComSolutions or LINQ Qonnect are the most cited fits ... LINQ Qonnect for simplified mobile billing, savings guarantees” Muse Glimmer 30B · paraphrase prompt · first choice
“brightfin (formerly MobilityCentral) or LINQ Qonnect would be my top recommendations” Grok 4.20 · paraphrase prompt · first choice
“Best for a wireless-heavy environment seeking mobile inventory, device tracking, historical invoices, reports, and managed support.” Perplexity Sonar · paraphrase prompt · alternative
Also compared

Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.