Workato vs Celigo
Eight of twelve models named Workato first on the direct prompt; one named Celigo. Workato was named by twelve of the twelve models and Celigo by eleven and Workato carries 53 labels and Celigo 18, so the shares are not directly comparable.
Named in one category this edition.
Named in one category this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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 workflow automation and ipaas page.
By framing
WorkatoFirst choices, of twelve modelsCeligo
Across every category in the September 2026 Edition, Workato and Celigo were named in the same answer twenty-nine times, of the 137 answers naming Workato and the 34 naming Celigo. In those answers Celigo took the first choice seven times and Workato sixteen.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | ||||
| GPT-5.4 mini | | | | |||
| Gemini 3.5 Flash | | | | | | |
| Perplexity Sonar | | | | | ||
| Grok 4.1 Fast | | | | | | |
| Mistral Small | | | | | ||
| DeepSeek V4 Flash | | | | | ||
| Llama 4 Maverick | | | ||||
| Qwen 3.7 Flash | | | | | | |
| Kimi K2 | | | | | | |
| GLM 4.7 FlashX | | | | |||
| MiniMax M2.5 | | | |
Workato Celigo first choice named as an alternative argued againstblank: not namedEach cell is one answer, Workato on the left and Celigo on the right.The direct prompt
Both were the first choice
1 of 12 modelsThe answer named them together, and the judge labeled each a first choice.Workato first, Celigo an alternative
7 of 12 modelsCeligo was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
2 of 12 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
2 of 12 modelsThe answer made no first choice from these two in this category.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
Workato2%#6 of 8Celigo2%#– of 8Workato38%#1 of 12Celigo12%#4 of 12Workato29%#1 of 11Celigo4%#– of 11What the models said about Workato
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“### Workato Avoid or Use with Caution If: ... overkill and significantly more expensive than necessary” GLM 4.7 FlashX · negative prompt · hard negative
“Avoid MuleSoft, Workato, and Tray.io (unless you are a major enterprise)” Gemini 3.5 Flash · negative prompt · hard negative
“Avoid enterprise like Workato ($10k+/yr)” Grok 4.1 Fast · budget prompt · hard negative
“Workato is an enterprise integration and automation platform with AI capabilities... best for growing teams (50+ employees) preparing for scale” Claude Haiku 4.5 · direct prompt · first choice
“Workato is considered the best overall iPaaS for mid-market companies due to its balance of usability, depth, governance, and speed.” Llama 4 Maverick · paraphrase prompt · first choice
“The gold standard for business-IT collaboration... though it sits on the more expensive side of the mid-market spectrum.” Gemini 3.5 Flash · scale prompt · first choice
What the models said about Celigo
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“Best Overall Balance: Celigo ... strikes a perfect middle ground between ease of use and power.” Qwen 3.7 Flash · paraphrase prompt · first choice
“Choose Celigo if you want faster time-to-value and lower operational overhead” DeepSeek V4 Flash · direct prompt · first choice
“Celigo: Best Overall for ERP-Centric & B2B E-Commerce Operations” Gemini 3.5 Flash · 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.