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Brand protection platforms · November 2026 Edition

IP Moat vs Fortra Brand Protection

One of fourteen models named IP Moat first on the direct prompt; zero named Fortra Brand Protection. IP Moat was named by twelve of the fourteen models and Fortra Brand Protection by eight and IP Moat carries 14 labels and Fortra Brand Protection 11, so the shares are not directly comparable.

IP Moat

accepted challenger

Named in one category this edition.

Fortra Brand Protection

accepted challenger

Named in one category this edition.

First-choice share23%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#7A position in a field of 11; printed, not drawn.
Labels1411A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, IP Moat reading right to left. Rank and label count are printed, not drawn.BrandShield was named alongside these two in eleven of the fourteen direct answers. IP Moat vs BrandShield · IP Moat vs Red Points · IP Moat vs Bolster AI

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

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
IP MoatFirst choices, of fourteen modelsFortra Brand Protection
Direct10
Paraphrase01
Comparative00
Budget-constrained100
Scale-constrained00
Negative00
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where IP Moat and Fortra Brand Protection stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
IP Moat Fortra Brand Protection first choice named as an alternative argued againstblank: not namedEach cell is one answer, IP Moat on the left and Fortra Brand Protection on the right.

The direct prompt

The plain question, one answer per model, grouped by where IP Moat and Fortra Brand Protection stood in it.

IP Moat first, Fortra Brand Protection not the choice

1 of 14 modelsFortra Brand Protection was named in the answer but not as the choice, or not at all.
Qwen 3.7 FlashIP Moat, Red Points alternatives: Bolster

Neither was the first choice, one was named

2 of 14 modelsThe answer put something else first and named one of the two as an alternative.
GPT-5.4 miniRed Points alternatives: BrandShield, CTM360, Fortra Brand Protection
GPT-6 LunaBolster alternatives: Doppel, Fortra Brand Protection, Netcraft

Neither was named

11 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Bolster alternatives: MarqVision, Podqi, Red Points
Gemini 3.5 FlashBrandShield alternatives: Bolster, Corsearch, Red Points, ZeroFox
Perplexity SonarBolster alternatives: BrandShield, Corsearch, MarqVision, Red Points
Grok 4.20Red Points alternatives: Bolster AI, BrandShield, Cyble, MarqVision
Mistral SmallBolster AI alternatives: BrandShield, Cyble, Red Points, ZeroFox Brand Protection
DeepSeek V4 FlashBolster AI alternatives: BrandShield, Red Points
Llama 4 MaverickBrandShield alternatives: Bolster, Netcraft Domain Protection, ZeroFox Brand Protection
Kimi K2BrandShield, Red Points alternatives: Bolster AI, ZeroFox
GLM 4.7 FlashXBolster AI, BrandShield alternatives: ZeroFox
MiniMax M2.5Bolster AI alternatives: BrandShield
Muse Glimmer 30BBrandShield alternatives: Bolster AI, Red Points

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

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
IP Moat leads by thirty-two points.
IP Moat32%#1 of 11
Fortra Brand Protection0%#– of 11
The full small business standing →
Mid-marketThe figures above
IP Moat leads by twenty-one points.
IP Moat23%#1 of 11
Fortra Brand Protection2%#7 of 11
The full mid-market standing →
Enterprise
IP Moat is not named for this buyer.
Fortra Brand Protection2%#9 of 10
IP Moat—not named
The full enterprise standing →

What the models said about IP Moat

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.

“IP Moat looks like the strongest value pick I found because its pricing starts at $105/month” GPT-5.4 mini · budget prompt · first choice
“IP Moat stands out as the best brand protection platform for companies with a limited budget.” Grok 4.20 · budget prompt · first choice
“IP Moat is the best overall choice because it is built specifically for SME e-commerce brands” GLM 4.7 FlashX · budget prompt · first choice

What the models said about Fortra Brand Protection

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.

“It has industry-leading detection and rapid takedown capabilities, and can monitor and automate takedowns across web, social media, mobile apps, and the dark web.” Llama 4 Maverick · paraphrase prompt · first choice
“Teams that want substantial analyst-led monitoring and response for phishing and impersonation threats.” GPT-6 Luna · comparative prompt · alternative
“Fortra emphasizes dark web monitoring and social/phishing protection.” Grok 4.20 · paraphrase prompt · alternative
Also compared

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.