Eight of fourteen models named Akeneo PIM first on the direct prompt; two named Pimcore. Both were named by all fourteen models and Akeneo PIM carries 62 labels and Pimcore 61, so the shares are not directly comparable.
Named in one category this edition.
By Pimcore GmbH, Salzburg, Austria, founded 2013. Named in two categories this edition.
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 product information management page.
Across every category in the November 2026 Edition, Akeneo PIM and Pimcore were named in the same answer 137 times, of the 184 answers naming Akeneo PIM and the 165 naming Pimcore. In those answers Pimcore took the first choice fifteen times and Akeneo PIM thirty-three.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | ||||||
| Perplexity Sonar | ||||||
| Grok 4.20 | ||||||
| Mistral Small | ||||||
| DeepSeek V4 Flash | ||||||
| Llama 4 Maverick | ||||||
| Qwen 3.7 Flash | ||||||
| Kimi K2 | ||||||
| GLM 4.7 FlashX | ||||||
| MiniMax M2.5 | ||||||
| GPT-6 Luna | ||||||
| Muse Glimmer 30B |
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.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Akeneo PIM has a significant number of negative reviews, particularly regarding its self-hosted Community Edition” Mistral Small · negative prompt · hard negative
“Akeneo PIM - Avoid self-hosted/open-source solutions unless you have a dedicated engineer.” Llama 4 Maverick · negative prompt · hard negative
“users report navigation challenges, cumbersome asset management, steep learning curves, and a need for coding or advanced configuration skills” GPT-5.4 mini · negative prompt · soft negative
“Akeneo is arguably the most popular PIM in the world right now... If you want to be up and running in weeks with a low maintenance cost, Akeneo is usually the winner.” Qwen 3.7 Flash · comparative prompt · first choice
“Akeneo - Highly regarded for omnichannel product experience management, strong integration capabilities, and scalability for growing businesses.” MiniMax M2.5 · direct prompt · first choice
“Akeneo is arguably the most popular choice for the mid-market today... Go with Akeneo if you want the best balance of power and price” Qwen 3.7 Flash · direct prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Known for being technically demanding... Its complexity can be a barrier for small businesses” Mistral Small · negative prompt · hard negative
“Free open-source versions (self-hosted)... Open-source like UnoPIM or Pimcore can save money long-term but might need ~$5k–10k in initial dev work.” Grok 4.20 · budget prompt · soft negative
“Its flexibility can be attractive, but typically means more responsibility for architecture, implementation, and ongoing technical work.” GPT-6 Luna · comparative prompt · soft negative
“The market leaders by market share are Pimcore (36.15%)... Pimcore offers extensive storefront integrations, clean attribute and locale management, a large partner network, free open source tier, and accessible learning curve” Claude Haiku 4.5 · comparative prompt · first choice
“or Pimcore if you have development resources and want to avoid ongoing licensing costs” MiniMax M2.5 · paraphrase prompt · first choice
“For most mid-sized B2B companies, Pimcore or entitys.io are excellent choices” Mistral Small · paraphrase prompt · first choice
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.