murmur · sector study · September 2026
What AI tools answer when a restaurant owner looks for a system
25 questions asked across 4 AI tools, with 99 responses saved as screenshots. No question names a system: these are the questions a restaurant owner types before signing with a provider.
This study does not pick a winner. The count is the same for everyone: the name is written in the response or it is not. Any company that appeared zero times is not included on this page, and no company commissioned, reviewed or paid for this study.
Two names lead, and the drop from second to third is 18 points
Saipos appears in 62 of the 99 responses, and Consumer in 49, almost half. The gap comes after them: third-place Sischef is at 31. There are 33 different systems cited in total and 387 mentions combined, but more than a quarter of that total sits in the table’s first two rows.
| system | in how many of the 99 responses | share of all mentions | average position in the list | in how many of the 25 questions |
|---|---|---|---|---|
| Saipos | 62 63% | 16.0% | 1.8 | 23 |
| Consumer | 49 49% | 12.7% | 2.7 | 24 |
| Sischef | 31 31% | 8.0% | 3.2 | 17 |
| SisFood | 27 27% | 7.0% | 3.0 | 17 |
| Goomer | 26 26% | 6.7% | 3.1 | 19 |
| Linx | 20 20% | 5.2% | 4.8 | 15 |
| Simpliza | 19 19% | 4.9% | 3.6 | 14 |
| TOTVS Chef | 18 18% | 4.7% | 4.9 | 12 |
| MarketUP | 17 17% | 4.4% | 4.7 | 10 |
| Anota AI | 16 16% | 4.1% | 3.8 | 9 |
| Colibri | 15 15% | 3.9% | 2.9 | 13 |
| GrandChef | 15 15% | 3.9% | 4.1 | 12 |
| Food Sistemas | 10 10% | 2.6% | 3.0 | 7 |
| OlaClick | 9 9% | 2.3% | 3.2 | 8 |
| SULTS | 9 9% | 2.3% | 5.0 | 7 |
| Cardápio Web | 7 7% | 1.8% | 3.4 | 4 |
| Gran Money | 6 6% | 1.6% | 6.0 | 6 |
| Teknisa | 6 6% | 1.6% | 4.8 | 5 |
| ControleNaMão | 5 5% | 1.3% | 3.6 | 5 |
| iMenu | 3 3% | 0.8% | 2.7 | 2 |
| Rei do Delivery | 2 2% | 0.5% | 1.5 | 2 |
| Square | 2 2% | 0.5% | 6.5 | 1 |
| Toast | 2 2% | 0.5% | 5.5 | 1 |
| iHungry | 2 2% | 0.5% | 5.0 | 2 |
| Aufisoft | 1 1% | 0.3% | 3.0 | 1 |
| CMV Zero | 1 1% | 0.3% | 4.0 | 1 |
| MarginEdge | 1 1% | 0.3% | 5.0 | 1 |
| Movenda | 1 1% | 0.3% | 3.0 | 1 |
| Oventab | 1 1% | 0.3% | 1.0 | 1 |
| PedePro | 1 1% | 0.3% | 1.0 | 1 |
| Qook | 1 1% | 0.3% | 5.0 | 1 |
| Restaurant365 | 1 1% | 0.3% | 1.0 | 1 |
| Zesta | 1 1% | 0.3% | 2.0 | 1 |
Appearing is one thing; being the first name is another
AI tools almost never answer with just one system: there are 3.9 names per response on average. That is why where a name appears matters as much as whether it appears. Saipos is the one that most often opens the list, with an average position of 1.8. TOTVS Chef is at the other extreme: it appears in 18 responses and comes in at an average position of 4.9, after the reader has already seen other names.
For those in the middle of the table, this is where the difference lies between being considered and merely being mentioned. A list has a beginning, and those who arrive at its end compete with names the reader has already seen.
Each tool has its own ranking
The same system changes in scale depending on where the question is asked. Linx is the clearest case: it appears in 52% of Claude responses and 0% of Google's. For anyone outside the top positions, that means there are tools where it is possible to compete and tools where it is not.
| system | ChatGPT 25 responses | Claude 25 responses | Google 25 responses | Perplexity 24 responses |
|---|---|---|---|---|
| Saipos | 16 | 20 | 14 | 12 |
| Consumer | 15 | 14 | 12 | 8 |
| Sischef | 4 | 11 | 11 | 5 |
| SisFood | 7 | 3 | 7 | 10 |
| Goomer | 3 | 11 | 7 | 5 |
| Linx | 4 | 13 | 0 | 3 |
| Simpliza | 0 | 0 | 13 | 6 |
| TOTVS Chef | 2 | 10 | 3 | 3 |
| MarketUP | 5 | 4 | 3 | 5 |
| Anota AI | 4 | 7 | 4 | 1 |
| Colibri | 0 | 13 | 1 | 1 |
| GrandChef | 0 | 0 | 10 | 5 |
| Food Sistemas | 2 | 2 | 1 | 5 |
| OlaClick | 0 | 2 | 1 | 6 |
| SULTS | 1 | 4 | 2 | 2 |
| Cardápio Web | 1 | 2 | 1 | 3 |
| Gran Money | 0 | 2 | 1 | 3 |
| Teknisa | 1 | 4 | 1 | 0 |
| ControleNaMão | 1 | 1 | 0 | 3 |
| iMenu | 1 | 0 | 0 | 2 |
| Rei do Delivery | 0 | 0 | 0 | 2 |
| Square | 0 | 1 | 0 | 1 |
| Toast | 0 | 1 | 0 | 1 |
| iHungry | 2 | 0 | 0 | 0 |
| Aufisoft | 1 | 0 | 0 | 0 |
| CMV Zero | 1 | 0 | 0 | 0 |
| MarginEdge | 0 | 0 | 0 | 1 |
| Movenda | 1 | 0 | 0 | 0 |
| Oventab | 1 | 0 | 0 | 0 |
| PedePro | 1 | 0 | 0 | 0 |
| Qook | 1 | 0 | 0 | 0 |
| Restaurant365 | 0 | 0 | 0 | 1 |
| Zesta | 1 | 0 | 0 | 0 |
Being read by an AI tool almost guarantees being cited by it
In 42 of the 99 responses, it is possible to see which sites the tool consulted. There were 75 different sites, and the most used of all is saipos.com, Saipos's website, in 22 of the 42. The ten most-used sites all belong to the systems measured: the AI tool did not turn to a comparison site or an outside blog for its answers.
And what the tool reads appears in what it writes: when the system's site was consulted, its name appeared in the response 94% of the time. When it was not consulted, the name appeared 9% of the time. It is worth separating out what appears in the text without competing for a system subscription: Bling, Omie, Rappi and iFood are delivery apps or general-purpose ERPs. They were measured and are left out of the table. The case of iFood stands out: it is written in 58 of the 99 responses, more than any measured system apart from the leader. It appears because almost every question touches on delivery integration, not because it sells restaurant management.
| site | used as a source in how many of the 42 |
|---|---|
| saipos.com | 22 |
| sisfood.com.br | 12 |
| consumer.com.br | 10 |
| foodsistemas.com.br | 7 |
| goomer.com.br | 4 |
| sischef.com | 4 |
| sults.com.br | 4 |
| controlenamao.com.br | 3 |
| granmoney.com | 3 |
| olaclick.com | 3 |
| restaurantmanage.com | 3 |
| simpliza.com.br | 3 |
| system | site used as a source | name written in the response |
|---|---|---|
| Saipos | 22 of 42 | 62 of 99 |
| Consumer | 11 of 42 | 49 of 99 |
| Sischef | 4 of 42 | 31 of 99 |
| SisFood | 14 of 42 | 27 of 99 |
| Goomer | 4 of 42 | 26 of 99 |
| Linx | 2 of 42 | 20 of 99 |
| Simpliza | 4 of 42 | 19 of 99 |
| TOTVS Chef | 0 of 42 | 18 of 99 |
| MarketUP | 2 of 42 | 17 of 99 |
| Anota AI | 0 of 42 | 16 of 99 |
| Colibri | 0 of 42 | 15 of 99 |
| GrandChef | 1 of 42 | 15 of 99 |
| Food Sistemas | 7 of 42 | 10 of 99 |
| OlaClick | 3 of 42 | 9 of 99 |
| SULTS | 4 of 42 | 9 of 99 |
| Cardápio Web | 1 of 42 | 7 of 99 |
| Gran Money | 3 of 42 | 6 of 99 |
| Teknisa | 0 of 42 | 6 of 99 |
| ControleNaMão | 3 of 42 | 5 of 99 |
| iMenu | 2 of 42 | 3 of 99 |
| Rei do Delivery | 2 of 42 | 2 of 99 |
| Square | 0 of 42 | 2 of 99 |
| Toast | 0 of 42 | 2 of 99 |
| iHungry | 2 of 42 | 2 of 99 |
| Aufisoft | 1 of 42 | 1 of 99 |
| CMV Zero | 1 of 42 | 1 of 99 |
| MarginEdge | 0 of 42 | 1 of 99 |
| Movenda | 1 of 42 | 1 of 99 |
| Oventab | 1 of 42 | 1 of 99 |
| PedePro | 1 of 42 | 1 of 99 |
| Qook | 1 of 42 | 1 of 99 |
| Restaurant365 | 0 of 42 | 1 of 99 |
| Zesta | 1 of 42 | 1 of 99 |
In the broadest question of all, the leading pair leaves no room
The 25 questions were written in four angles: general recommendation, by type of venue, by system feature and informational. In the broadest angle, the 23 responses to people who only ask which is best, Saipos appears in 91% and Consumer in 78%. This is the question where the leading pair opens up its widest lead.
| question angle | 1st | 2nd | 3rd | 4th |
|---|---|---|---|---|
| general recommendation 23 responses | Saipos 91% | Consumer 78% | Sischef 52% | TOTVS Chef 43% |
| by type of venue 20 responses | Saipos 70% | Consumer 55% | Goomer 30% | Sischef 30% |
| by system feature 36 responses | Saipos 58% | Consumer 39% | Sischef 36% | SisFood 31% |
| informational 20 responses | Consumer 30% | Saipos 30% | Goomer 25% | Colibri 15% |
What changes from one angle to another happens in the middle of the table, not at the top. For those outside the leading positions, that is where there is an opening: a business profile or need for which the AI tool already cites other names.
How we measured
- We asked the 25 questions in 4 tools, once each, in September 2026. That would yield 100 responses; we ended up with 99. Perplexity returned 24 of 25: one capture failed. Each question was asked in a clean window, in a temporary conversation with no history, from an IP address in Brazil. We saved a screenshot of every one.
- No question includes the name of a system. They reflect the way a restaurant owner asks.
- We count only when the AI tool writes the system's name in the response. When the name appears only in the list of sites consulted, it does not count here: that is something else, measured separately in section 04.
- We count only what the tool wrote. Site cards, videos and map listings that appear around the response are left out, because the AI tool did not choose those names.
- The names in the table came from the responses themselves. We did not start with a prepared list, so there is no outside system that "should" be here: if it was not cited even once, it does not appear.
- Linx, Linx Degust and Linx Menew count as one company: AI tools write all three, sometimes in the same response.
What this study does not say
- Nothing about service quality. What is measured is what AI tools answer, not which system is better to use or which one charges less.
- Nothing about how much each thing is searched for. The 25 questions reflect how people ask, not a sample weighted by search volume.
- Nothing about what the AI tool answers for you. Responses vary with the previous conversation, region and day. This is a snapshot from September 2026, in a clean window.
- Nothing about how to change this result. This material measures; it is not an action plan.
The 25 questions, in full
Original Portuguese research evidence, preserved as recorded.
- 01melhor sistema de gestao para restaurante
- 02qual pdv para restaurante e o melhor
- 03me indique um sistema bom para o meu restaurante
- 04qual o melhor software para bar e restaurante em 2026
- 05sistema para restaurante que vale a pena contratar
- 06qual sistema para restaurante tem o melhor custo beneficio
- 07melhor sistema para restaurante pequeno de um dono so
- 08qual sistema para rede de restaurantes com varias lojas
- 09melhor sistema para delivery proprio de restaurante
- 10qual sistema para pizzaria com controle de sabores
- 11melhor sistema para cafeteria e padaria
- 12qual sistema de comanda eletronica para restaurante
- 13melhor sistema para restaurante que integra com aplicativo de delivery
- 14qual sistema para restaurante controla estoque e ficha tecnica
- 15sistema para restaurante que emite nota fiscal automatico
- 16qual sistema de cardapio digital por qr code para restaurante
- 17melhor sistema para restaurante que funciona offline
- 18qual sistema para restaurante mostra o cmv e a margem do prato
- 19sistema para restaurante barato ou gratuito para comecar
- 20qual sistema para restaurante e mais facil de treinar o garcom
- 21quanto custa um sistema de gestao para restaurante por mes
- 22vale a pena trocar a comanda de papel por sistema no restaurante
- 23como trocar de sistema no restaurante sem parar o atendimento
- 24o que um sistema de gestao para restaurante precisa ter
- 25pdv de restaurante precisa de certificacao ou homologacao