MarqVision vs Corsearch
Zero of fourteen models named MarqVision first on the direct prompt; zero named Corsearch. MarqVision was named by eleven of the fourteen models and Corsearch by twelve and MarqVision carries 15 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
MarqVisionFirst choices, of fourteen modelsCorsearch
Across every category in the November 2026 Edition, MarqVision and Corsearch were named in the same answer twenty-two times, of the 50 answers naming MarqVision and the 89 naming Corsearch. In those answers Corsearch took the first choice one time and MarqVision three.
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 | |
MarqVision Corsearch first choice named as an alternative argued againstblank: not namedEach cell is one answer, MarqVision on the left and Corsearch on the right.The direct prompt
Neither was the first choice, one was named
4 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
10 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
MarqVision2%#6 of 11Corsearch0%#11 of 11MarqVision2%#6 of 11Corsearch2%#8 of 11Corsearch4%#5 of 10MarqVision0%#10 of 10What the models said about MarqVision
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“For an ecommerce brand with counterfeits, compare Red Points, Corsearch and MarqVision.” GPT-6 Luna · comparative prompt · first choice
“Best for E-Commerce & Counterfeit Goods: MarqVision or Red Points (Starter Tier)” Gemini 3.5 Flash · budget prompt · first choice
“Designed for mid-market buyers seeking more oversight than fully automated tools without enterprise-level pricing” Perplexity Sonar · direct prompt · alternative
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.