Lattice Performance
–Too few to rank
1/14Models named it
0First choices
1Warnings
November 2026 Edition · all company sizes counted.
What AI models recommend
Named, too few times to rank.
A product needs 10 labels in a category before a share is stated. Lattice Performance has 1.
Why models recommend it
No positive label carried a quote.
What gives them pause
“Lattice Performance is $10/seat/mo billed annually with a $4,000 annual minimum, which can be a floor issue under ~40 seats”Muse Glimmer 30B · Scale-constrained question · warning
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 Lattice Performance 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 1 of the 1 answers that named Lattice Performance and are not a share of its labels.
Domains cited
betterworks.com1
clear-talent.com1
employee-performance.com1
employeeconnect.com1
gist.github.com1
greythr.com1
hr365.us1
jdsupra.com1
peoplestrong.com1
performyard.com1
No domain is on file for Lattice Performance, so its own site is not marked.
Pages cited
Pages are listed as the models cited them.
By model
How each model answered on Lattice Performance across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
| 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 | 0 | 0 |
| 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 | 0 | 0 |
| 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 | 1 | 1 |