Bolster vs Corsearch
Three of fourteen models named Bolster first on the direct prompt; zero named Corsearch. Bolster was named by twelve of the fourteen models and Corsearch by twelve and Bolster carries 20 labels and Corsearch 27, 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 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 brand protection platforms page.
By framing
BolsterFirst choices, of fourteen modelsCorsearch
Across every category in the November 2026 Edition, Bolster and Corsearch were named in the same answer twenty-four times, of the 49 answers naming Bolster and the 89 naming Corsearch. In those answers Corsearch took the first choice one time and Bolster two.
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 | | |
Bolster Corsearch first choice named as an alternative argued againstblank: not namedEach cell is one answer, Bolster on the left and Corsearch on the right.The direct prompt
Bolster first, Corsearch an alternative
3 of 14 modelsCorsearch was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
3 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
8 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
Corsearch4%#5 of 10Bolster2%#8 of 10What the models said about Bolster
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“Bolster — $25,000–$75,000 annually (too expensive for limited budgets)” Kimi K2 · budget prompt · hard negative
“Bolster is recommended for mid-market and enterprise organizations that need fast, automated takedowns across a wide range of digital channels.” Claude Haiku 4.5 · direct prompt · first choice
“For a typical mid-market B2B company, I'd start with Bolster” GPT-6 Luna · direct prompt · first choice
“Bolster is the strongest default choice” Perplexity Sonar · direct prompt · first choice
What the models said about Corsearch
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Multiple serious complaints have been raised: False takedown accusations... BBB complaints: 19 complaints in the last 3 years” Kimi K2 · negative prompt · hard negative
“Platforms with Significant Negative Reviews ... Corsearch - Trustpilot Rating: 1.2/5” GLM 4.7 FlashX · negative prompt · hard negative
“filing false trademark violation reports on amazon... questionable claims” Muse Glimmer 30B · negative prompt · hard negative
“I'd start with Corsearch for the broader protection program” GPT-5.4 mini · paraphrase prompt · first choice
“Corsearch (Market leader by revenue)” Grok 4.20 · comparative prompt · first choice
“Choose Corsearch if trademark ownership, legal evidence, and IP enforcement are central requirements.” Perplexity Sonar · comparative prompt · alternative
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.