SE Ranking vs Frase
Gane, the publisher, sells software in this category. Every product here is measured by the same method as in every other category. How the conflict is handled.
Zero of fourteen models named SE Ranking first on the direct prompt; zero named Frase. SE Ranking was named by eleven of the fourteen models and Frase by fourteen and SE Ranking carries 23 labels and Frase 42, so the shares are not directly comparable.
United States, founded 2012. Named in six 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 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 SEO and content optimization platforms page.
By framing
SE RankingFirst choices, of fourteen modelsFrase
Across every category in the November 2026 Edition, SE Ranking and Frase were named in the same answer forty-seven times, of the 100 answers naming SE Ranking and the 102 naming Frase. In those answers Frase took the first choice eight times and SE Ranking eleven.
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 4.20 | | | | | | |
| 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 | | | |
SE Ranking Frase first choice named as an alternative argued againstblank: not namedEach cell is one answer, SE Ranking on the left and Frase on the right.The direct prompt
Neither was the first choice, one was named
5 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
9 of 14 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
SE Ranking14%#3 of 14Frase11%#4 of 14Frase2%#7 of 11SE Ranking0%#– of 11What the models said about SE Ranking
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“its current Core plan is $103.20/month billed annually, so it may not fit a tight budget” GPT-6 Luna · budget prompt · soft negative
“Safer starting points: Consider SE Ranking (budget-friendly all-in-one with good content features)” Grok 4.20 · negative prompt · first choice
“If you must choose only one platform to start, go with SE Ranking.” Qwen 3.7 Flash · budget prompt · first choice
What the models said about Frase
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Avoid premium-heavy tools like Clearscope, SurferSEO, or Frase” Grok 4.20 · budget prompt · hard negative
“for example, Surfer, Clearscope, or Frase. They can help with research and coverage, but don’t treat a score, suggested word count, or list of terms as a ranking formula.” GPT-6 Luna · negative prompt · soft negative
“Frase has no backlink analysis, technical SEO auditing, or AI writing, so you'd need additional tools for comprehensive SEO work.” Claude Haiku 4.5 · negative prompt · soft negative
“Best Overall for Budget: Frase is the most affordable tool that combines research, brief generation, AI writing, and optimization” Claude Haiku 4.5 · budget prompt · first choice
“Content Workflow: Frase or Surfer (research → brief → write → optimize)” GLM 4.7 FlashX · comparative prompt · first choice
“NeuronWriter and Frase are the best choices for a limited budget” 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.