Zero of twelve models named Ubersuggest first on the direct prompt; zero named Frase. Ubersuggest was named by nine of the twelve models and Frase by twelve and Ubersuggest carries 15 labels and Frase 41, so the shares are not directly comparable.
By Neil Patel. Named in three categories this edition.
Named in three categories 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 SEO and content optimization platforms page.
Across every category in the September 2026 Edition, Ubersuggest and Frase were named in the same answer seventeen times, of the 40 answers naming Ubersuggest and the 113 naming Frase. In those answers Frase took the first choice four times and Ubersuggest four.
| 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 |
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 seven in this category shown.
“Ubersuggest | 42/100 (High) | Persistent quality complaints; often criticized for outdated features” GLM 4.7 FlashX · negative prompt · hard negative
“Persistent data quality complaints ... Don't make strategic decisions based on its data alone.” DeepSeek V4 Flash · negative prompt · soft negative
“Persistent quality complaints; data accuracy issues | Moderate” Kimi K2 · negative prompt · soft negative
“I’d pick Ubersuggest for most budget-conscious companies because it gives the broadest useful feature set at a relatively low entry price” Perplexity Sonar · budget prompt · first choice
“Ubersuggest stands out as the top overall pick for most small businesses needing both SEO and content optimization under $30/month” Grok 4.1 Fast · budget prompt · first choice
“My top recommendation: Start with Ubersuggest ($29/month) if you need keyword research and competitor analysis” Mistral Small · budget prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of six in this category shown.
“Frase - Low-cost option with user reports of inaccurate recommendations” Mistral Small · negative prompt · hard negative
“Criticized as "dead" in 2026—doesn't account for LLMs” GLM 4.7 FlashX · negative prompt · hard negative
“excellent tools when used correctly, but they are highly dangerous when misused” Gemini 3.5 Flash · negative prompt · soft negative
“Frase gives you content briefs and optimization at a fraction of the cost... it offers the most functionality per dollar” Claude Haiku 4.5 · budget prompt · first choice
“Frase is the best starting point for most small companies” GPT-5.4 mini · budget prompt · first choice
“Budget-conscious | Frase | $15/month” Kimi K2 · negative 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.