A product needs 10 labels in a category before a share is stated. Dext Prepare has 3.
“The Best Value All-Rounder: Dext Prepare (formerly Receipt Bank)... this is the industry leader for price-to-performance.”Qwen 3.7 Flash · Budget-constrained question · first choice
“The Best for "Receipt Only" Tracking: Dext Prepare”Qwen 3.7 Flash · Budget-constrained question · alternative
“add Dext to handle the messy receipt matching”Qwen 3.7 Flash · Budget-constrained question · alternative
No model argued against it.
The products named in the same answers as Dext Prepare, over the 18 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 10 | 3 | View → | |
| 9 | 0 | View → | |
| 7 | 2 | View → | |
| 6 | 4 | View → | |
| 6 | 2 | View → | |
| 5 | 0 | View → | |
| 5 | 0 | View → | |
| 4 | 1 | View → | |
| 4 | 0 | View → | |
| 4 | 0 | View → |
A side-by-side page exists where both products are among a category's top eight.
Stated on Dext Prepare's own site, not checked by Gane.
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 →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 10 of the 18 answers that named Dext Prepare and are not a share of its labels.
Thirty-two of the thirty-two domain citations in answers naming Dext Prepare came from a third party's page.
Pages are listed as the models cited them.
| 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 | 1 | 2 | 0 | 0 | 3 |
| 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 |