Bolster vs MarqVision
Three of fourteen models named Bolster first on the direct prompt; zero named MarqVision. Bolster was named by twelve of the fourteen models and MarqVision by eleven and Bolster carries 20 labels and MarqVision 15, 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 modelsMarqVision
Across every category in the November 2026 Edition, Bolster and MarqVision were named in the same answer thirteen times, of the 49 answers naming Bolster and the 50 naming MarqVision. In those answers MarqVision took the first choice two times and Bolster 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 | |
Bolster MarqVision first choice named as an alternative argued againstblank: not namedEach cell is one answer, Bolster on the left and MarqVision on the right.The direct prompt
Bolster first, MarqVision an alternative
3 of 14 modelsMarqVision was named in the answer but not as the choice, or not at all.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
7 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
Bolster2%#7 of 11MarqVision2%#6 of 11What 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 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
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.