Carrd vs Landingi
Zero of twelve models named Carrd first on the direct prompt; one named Landingi. Carrd was named by twelve of the twelve models and Landingi by eleven and Carrd carries 32 labels and Landingi 28, 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 landing pages and interactive content page.
By framing
CarrdFirst choices, of twelve modelsLandingi
Across every category in the September 2026 Edition, Carrd and Landingi were named in the same answer forty-five times, of the 72 answers naming Carrd and the 74 naming Landingi. In those answers Landingi took the first choice six times and Carrd nine.
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 | | | |
Carrd Landingi first choice named as an alternative argued againstblank: not namedEach cell is one answer, Carrd on the left and Landingi on the right.The direct prompt
Landingi first, Carrd not the choice
1 of 12 modelsCarrd 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
9 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
Landingi6%#5 of 7Carrd0%#– of 7What the models said about Carrd
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“(Avoid Carrd/Leadpages if scaling heavy.)” Grok 4.1 Fast · scale prompt · hard negative
“Avoid for scale: Carrd if you foresee needing more than one page or real e-commerce.” DeepSeek V4 Flash · negative prompt · soft negative
“Carrd (3.1/5, but cheap at $9/year for basics—watch for data loss)” Grok 4.1 Fast · negative prompt · soft negative
“The best landing page builder for a company with a limited budget is Carrd, as it is an ultra-affordable builder for simple, single-page sites” Llama 4 Maverick · budget prompt · first choice
“Carrd (free) or Landingi (free plan + affordable paid tiers) offer the best combination of features and value” Kimi K2 · budget prompt · first choice
“Carrd is the undisputed champion... If you have $20 to spend for the entire year, go with Carrd.” Gemini 3.5 Flash · budget prompt · first choice
What the models said about Landingi
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“Be Cautious With These Builders ... Landingi ... Friction points to watch” GLM 4.7 FlashX · negative prompt · soft negative
“Page editor can be slow, mobile editor problematic” Mistral Small · negative prompt · soft negative
“BE CAUTIOUS: Landingi ... Billing practices” Kimi K2 · negative prompt · soft negative
“Carrd (free) or Landingi (free plan + affordable paid tiers) offer the best combination of features and value” Kimi K2 · budget prompt · first choice
“The best landing page builder for a mid-market B2B company is Landingi” Llama 4 Maverick · direct prompt · first choice
“My top pick for most small businesses: Landingi at $29/month” Mistral Small · budget 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.