Red Points competitors and alternatives in 2026
A counterfeit listing feels like a marketplace problem, so it gets a marketplace vendor. That instinct is why most Red Points shortlists compare the wrong things.
What a feature grid won’t tell you is whether the seller you removed last quarter is the same operation that registered a lookalike storefront the same week. Nobody puts that in a column, and it decides whether the renewal was worth signing.
One disclosure, because it changes how to read the rest: Bolster AI sells marketplace monitoring and takedowns. So every statement about a vendor below comes from that vendor’s own live pages, and the five criteria are plain enough that you can hold this platform to them too.
What Red Points is built for, in its own words
Red Points’ homepage says it directly: “Our fully managed AI platform takes down counterfeits, fake websites, social media fraud accounts, and piracy,” with coverage claims running to 1,300 or more brands and 5,000 or more marketplaces. Read those as claims about exposure, not about precision on your catalog.
The commercial pitch is volume without metering. There’s no published dollar figure, and the three counterfeit plans are each labeled as a flat fee with unlimited detections and takedowns, behind a request-pricing button.
The tier detail matters more than the missing number. Fully managed service is absent from Starter and included on both Professional and Enterprise; mainland China platforms are an add-on on Professional and included on Enterprise; and Starter protects up to 10 trademarks. So a Red Points quote is only comparable once you know which tier produced it.
One thing shortlist writeups get wrong: nothing on those pages supports saying Red Points ignores domains or fake websites. Its own list names both.
Why marketplace enforcement runs on rails you don’t own
A fake storefront on its own web address can be switched off at the company that registered the address, or at the company hosting the files. A counterfeit listing inside Amazon can’t. It sits on infrastructure the marketplace owns, and the marketplace decides what comes down and who may ask.
Amazon opens its removal tools only to brands enrolled in Brand Registry, and gates Project Zero, the tool that pulls a counterfeit listing immediately, behind rights-owner status on a registered trademark plus a track record of accepted reports. eBay’s VeRO program takes notices from rights owners and their authorized representatives, nobody else. A vendor filing in your name is exercising your authorization, and rejected filings cost you standing rather than just analyst hours.
So removing a listing is mostly the work of building a report a reviewer accepts the first time, and a counterfeit shortlist and a phishing takedown shortlist are two different exercises even when the vendor names overlap.
The gap between what you removed and what came back
Every lever in that section belongs to someone else. Amazon decides. eBay decides. A registrar decides. Your team’s part is filing well and filing fast, which is real work but isn’t control.
Your tooling ends up recording your own actions instead of the outcome. It knows how many reports you submitted, how many came back accepted, and how long the queue ran on Tuesday. It doesn’t know whether the seller you pulled in March is back in June under a new name, or whether the storefront that went live the same week is run by the same people.
That distance between what your reporting sees and what happened is what this category exists to close. It’s also why the buying conversation keeps widening. The FTC’s 2025 fraud data put reported losses to imposter scams at $3.5 billion, nearly $1 billion of it to business impersonators. Those scams reached people through text, phone, email, social media, and search results.
When exposure looks like that, the budget comes out of digital risk protection rather than counterfeit enforcement, and Bolster AI competes for that line as much as for the listings one.
Five things to compare Red Points competitors on
These are standards rather than open questions, because a vendor that won’t say what good looks like isn’t much help at renewal. Note what four of the five ask: not whether a platform covers a surface, since on coverage these vendors say much the same thing, but whether the surfaces are connected. Bolster AI meets all five, and each links to the page where you can check.
Whether a seller coming back reopens the case or starts a new one
Removing a listing removes a listing. The account behind it opens another, often the same day, with the same photography and a new name. Every vendor here will say it catches that, so hold them to something narrower: does the return land on the case you already had, or as a fresh finding an analyst has to recognize? Bolster AI clusters on product images, brand keyword abuse, Brand Registry mismatches, and selling behavior, so its marketplace monitoring builds the case once, and the fingerprints that found the seller are what recognize them coming back.
Whether the storefront outside the marketplace shares the same case
The same operation often runs a standalone site on a lookalike address, because a site it controls converts better than a listing a marketplace can pull. Finding it takes fuzzy matching across brand variations and newly registered domain monitoring, not a keyword alert. What separates vendors is whether the storefront and the listing then share one queue and one history, which is why Bolster AI runs domain monitoring on the same platform as marketplace monitoring rather than as a second product.
Whether the ad arrives attached to the listing it points at
Buyers don’t stumble onto a counterfeit listing. They get sent, by a paid search ad, a sponsored social post, or a message from an account wearing your logo. Plenty of platforms monitor ads. Fewer hand you the ad and the listing as one thing, which is the difference between a second report to read and a fuller view of one case. Bolster AI feeds fraudulent ads into it.
Whether three fronts arrive as one case or as three tickets
This is the one most feature grids have no column for. Connecting a listing, a domain, and an ad to one operation takes shared infrastructure fingerprints, not an analyst spotting a pattern across two queues on a slow afternoon. Bolster AI does that linkage in Signals, and it shows up in your next report: 40 listings removed reads differently from six operations dismantled.
Whether enforcement runs on its own rails and keeps watching afterward
Submission shouldn’t queue behind an analyst’s calendar. That means direct API connections where a platform offers one, evidence-backed reports where it doesn’t, and a rescan that catches the relist, all three running without a person opening a ticket. That’s what Bolster AI’s automated takedowns are built to do.
Where the main Red Points alternatives stop short
Bolster AI is this guide’s recommendation on those five criteria, and gets a section of its own below. Here’s how the other three land. Every limitation states what that vendor publishes, not what it can’t do.
Red Points
Strengths. Real depth on the counterfeit problem, a flat-fee model with no per-takedown metering, and coverage running past listings into domains, social accounts, ads, and piracy.
Limitations. The gap is Starter rather than the platform. On the pricing page cited above, Starter carries no managed service, no mainland China coverage, and a 10 trademark cap, so an entry-tier quote buys a product your own team still has to staff.
Best for. Brands whose exposure really is mostly listings, at Professional or above where the managed work lives.
BrandShield
Strengths. Detection and removal of counterfeit listings, fake sites, and impersonation across 700 or more platforms, with enforcement managers and specialists carrying trademark and legal expertise on the account.
Limitations. Enforcement is published as a managed service staffed by those specialists, so what the automation files and what a person files is a contract question rather than a published one. Get the split in writing before you compare the quote to anything.
Best for. Complicated rights positions, where the hard part is arguing the case rather than finding it.
ZeroFox
Strengths. Marketplace and app store monitoring inside a wide platform covering threat intelligence, domains, executives, and attack surface, with human validation on findings.
Limitations. Counterfeits are one item inside a published scope that also runs to threat intelligence, executives, physical security, and attack surface, and analyst services appear as a capability of their own alongside it. On a listings-led mandate, ask how much of the counterfeit workflow is platform and how much is analyst time.
Best for. Security-led buyers consolidating intelligence needs, where counterfeits are one item on a longer list.
Read the three together, and the pattern isn’t coverage. Their own pages publish the surfaces: listings, domains, ads, social accounts. What none of them publishes is the connection: a listing and a storefront and an ad arriving as one case rather than as three findings in three reports you reconcile yourself. That’s the gap Bolster AI is here to fill, and the next section says how.
Marketplace and counterfeit enforcement with Bolster AI
Bolster AI detects and removes external threats including counterfeit listings, unauthorized sellers, lookalike domains, fraudulent ads, fake social accounts, and fake mobile apps, then connects the related infrastructure into one campaign before enforcing against it.
Seller networks, not single listings. Bolster AI analyzes product images, brand keyword abuse, Amazon Brand Registry mismatches, and seller behavior to cluster related accounts across marketplaces. Listings that reappear under a new account get flagged and removed rather than opened as a fresh incident. That’s the difference between a takedown count and a recurrence rate, and the recurrence rate is the number Bolster AI’s brand protection platform is built to move.
The storefront and the ads land in the same console. The lookalike domain, the sponsored ad, and the listing appear next to each other because one platform monitors all three rather than three tools producing three exports. Your brand team stops reconciling spreadsheets.
One case instead of three tickets. Bolster AI links shared infrastructure across those surfaces into one campaign, which changes what you can tell a board. Six operations dismantled reads differently from 40 tickets closed, and it’s the same week of work.
Enforcement that doesn’t wait for a queue. Bolster AI submits through direct API connections to registries, hosts, and platforms, files evidence-backed reports where no API exists, and rescans for the relist. Bolster AI reports direct API partnerships with more than 1,500 registries and hosting providers, and the engineering behind that reach is worth reading before you take it on faith.
What Bolster AI can’t do, and won’t claim. Bolster AI cannot make a marketplace accept a report. Brand Registry enrollment, the accepted-report track record behind Amazon’s instant removal tool, and rights-owner-only notice forms are the marketplace’s rules, and no vendor gets around them. What changes is the quality and speed of what arrives at those gates, and how fast anyone notices when the same seller comes back. Any vendor quoting you a removal time on a marketplace it doesn’t own is selling you a clock it doesn’t set.
Best for. Brands where the counterfeit listing is one front of a wider operation, and where nobody can currently produce a recurrence number.
The point isn’t that Bolster AI replaces your trademark counsel, your Brand Registry enrollment, or the acceptance rate your team spent two years building. Those are what make enforcement possible at all. They also stop at the edge of the marketplace, and the operation selling your product doesn’t.
How to choose between Red Points competitors
Three branches, and they’re honest ones. If your exposure genuinely is listings and nothing else, and budget reaches Professional or above, Red Points is built for exactly that. If the hard part is arguing the rights case rather than finding it, BrandShield staff that work. If you’re consolidating intelligence across a security organization and counterfeits are one line on a longer list, ZeroFox is that shape. And if the listing, the storefront, the fake social account, and the ad are one operation wearing four costumes, that’s the case Bolster AI is built for, and it’s more common than a counterfeit-first shortlist assumes.
Most teams can’t say whether the seller they removed last quarter came back under a new name, or whether the storefront that appeared the same week belongs to the same people. Get both answers on your own catalog.
TL;DR: Red Points competitors are best compared on five criteria rather than a feature grid, and four of the five are about connection rather than coverage. Does a seller coming back reopen the case you already had? Do the lookalike storefront and the ad that points at it share that case? Does enforcement run without an analyst opening a ticket first? Red Points’ own pages describe a fully managed platform for counterfeits, fake websites, social fraud accounts, and piracy, with flat-fee unlimited takedowns and quote-only tiers where managed service and mainland China coverage depend on the plan. BrandShield staffs enforcement with specialists, and ZeroFox puts marketplace monitoring inside a wider intelligence platform. Bolster AI links the listing, the storefront, and the ad into one campaign and enforces against all three from one engine, which is the criterion most shortlists have no column for.
Frequently asked questions
Who are Red Points’ main competitors?
The names that come up most on a counterfeit shortlist are BrandShield, ZeroFox, and Bolster AI. They aren’t equivalent products. BrandShield staffs enforcement with trademark and legal specialists, ZeroFox sits inside a wider intelligence platform where counterfeits are one item of several, and Bolster AI connects the listing, the lookalike domain, and the ad into one campaign. Compare them on the five criteria above rather than on feature counts.
How much does Red Points cost?
There’s no published figure. Red Points lists three counterfeit plans, Starter, Professional, and Enterprise, all flat-fee with unlimited detections and takedowns, and all behind a request-pricing button. What moves the price is the tier. Starter carries no managed service, no mainland China coverage, and a 10 trademark cap, while managed service comes with Professional, and mainland China is an add-on there and included on Enterprise. Ask which tier your quote is for before comparing it to anything.
Is Red Points or Bolster AI a better fit for marketplace enforcement?
It depends on how wide the problem is. If your exposure really is listings, Red Points is purpose-built for that and prices it without metering. If the same operation is also running a lookalike storefront and buying ads against your brand name, Bolster AI is the better fit, because it monitors those surfaces on one platform and links them into a single case instead of three separate queues.
Can Bolster AI remove a counterfeit listing without Amazon Brand Registry?
No. Amazon opens its removal tools only to brands holding a registered trademark, and that gate belongs to Amazon, not to any vendor. Bolster AI works inside those rules: it finds the listings and the seller network, builds the evidence, and files reports designed to be accepted on the first pass. Enrollment and the trademark are still yours to hold.
What’s the difference between counterfeit enforcement and digital risk protection?
Counterfeit enforcement is about products sold under your name on surfaces a marketplace controls. Digital risk protection is about everything targeting your brand outside your perimeter, which includes lookalike domains, phishing pages, fraudulent ads, fake apps, and impersonated executives. Buyers usually start with the first and discover they need the second when a takedown keeps coming back under a different front door.
How do I compare vendors when none of them publish pricing?
Compare scope and mechanism instead of price, then price the scope you actually need. Ask who does the work at the tier you’re quoted, how a removal is confirmed and exported, which surfaces are in scope, what the detection model does with ambiguous listings like refurbished or gray-market stock, and whether enforcement is metered by takedown or by analyst hour. A demo run against your own catalog answers all five faster than a feature grid does.
