A fake online store used to take some effort. Someone had to write product copy, find photos, and make the checkout look believable. Generative AI now handles most of that in an afternoon, and the results can look more polished than a real small business’s website.
That shift puts pressure on website trust checkers, the free tools people use to decide whether a site is safe before they buy or sign up. ScamAdviser and SiteScano both score sites from 1 to 100, and both now combine automated scanning with human review. They differ in how and when a person gets involved, and in how much of their method they show you.
The quick verdict
| ScamAdviser | SiteScano | |
| Best for | Fast first-pass checks and scam reporting at scale | A deeper read when the score alone doesn’t settle it |
| Automated check | Proprietary algorithm | 90+ security engines plus domain, content, link and review signals |
| Human review | Paid on-demand expert check | Analyst review triggered by demand, requests or low confidence; no charge |
| Method transparency | Algorithm not published | Weights, caps, and corrections process published |
| Scale | Algorithm checks 2M+ sites a month | Newer, with a smaller report library |
| Price of a basic check | Free | Free |
Why AI makes trust checking harder
Automated trust checkers mostly look at measurable things: domain age, hosting, blacklists, certificates and reviews. Those signals still catch a lot. Their weak spot is a young domain. SiteScano’s own methodology admits that a new domain belonging to a legitimate business and one set up last week for a fake shop produce very similar automated signals.
AI widens that gap. A scam store can now ship with clean copy, realistic product images and believable “About us” pages from day one. ScamAdviser’s community feed shows what this looks like in practice: one recent user report flagged a group of sites for using AI-generated imagery to sell a fake backstory.
So the useful question for any trust checker is no longer just “what does it scan?” It’s also “what happens when the scan can’t tell the difference?” The same pressure is coming from the other side, too. As AI agents start browsing and shopping on people’s behalf, machine-readable trust signals will matter to software as much as to shoppers.
What each tool actually is
ScamAdviser is the established name. It runs a free automated Trust Score in more than a dozen languages, offers an app and browser extension, and has a large community that reports scams and writes reviews. It’s a member of the Global Anti-Scam Alliance. For businesses, it sells an API and data feeds, lets owners claim their site profile, and offers advertising.
It also has a human layer. ScamAdviser says its algorithm checks more than 2 million websites a month, admits no algorithm is perfect, and sells manual verification by one of its experts. The price is $27.95 for a 12-hour turnaround or $17.95 for 48 hours, per site.
SiteScano is newer. A basic check is free, needs no account, and produces a public report that stays online for the next person who asks. Its automated pass queries more than 90 independent security providers, plus registration records, hosting data, a first-party crawl, Ahrefs link data and public reviews and complaint threads. It also runs a separate track for site owners covering malware scanning, blacklist monitoring, and cleanup.
How each one builds a score
The two tools take different routes to their numbers. If you had to label each approach in a few words, it would be ScamAdviser: automated bands on one side and SiteScano: weighted signals, then a human on the other. Here’s what sits behind each label.
How ScamAdviser scores a site
ScamAdviser doesn’t publish its weighting. Third-party guides commonly interpret the score in four rough bands. Treat these as an unofficial reading, not ScamAdviser’s own definitions.
| Score | Common interpretation |
| 81–100 | Likely trustworthy and established |
| 61–80 | Probably fine; stay a little cautious |
| 41–60 | Uncertain; do your own research |
| Under 40 | High risk |
The strength is speed. Paste a URL and you get a consistent answer in seconds. The trade-off is that a low score is hard to unpack when you can’t see what drove it.
How SiteScano scores a site
SiteScano publishes its formula on its methodology page:
| Signal group | Weight | What it covers |
| Security | 35% | Blacklists, malware, phishing, transport |
| Content and authorship | 25% | Originality, attribution, transparency |
| Domain and infrastructure | 20% | Age, registrar, hosting, records |
| Link reputation | 15% | Who links in, and how reputable they are |
| Reviews and discussion | 15% | What the rest of the web says |
Careful readers will notice these weights add up to 110%. The methodology page doesn’t explain the overlap, and it’s worth clarifying with SiteScano.
Two rules sit above the weights. A confirmed active threat, such as live malware or a credential-harvesting page flagged by several engines, caps the score in the lowest band. An analyst can also adjust a score by no more than 15 points, and never past a security cap. The result lands in one of five named bands:
- 1–39, Danger: active threats, confirmed blacklisting or deliberate concealment
- 40–54, Risky: several weak signals at once, often a new domain with hidden ownership
- 55–69, Caution: nothing alarming, but little to confirm the site either
- 70–84, Trusted · Verify: mostly clean, with one or two open questions
- 85–100, Safe & Secure: long history, clean security record, strong link reputation
Where humans come in
This is now the most interesting difference between the two. Both tools accept that automation alone misses things, but they bring people in differently.
| ScamAdviser | SiteScano | |
| How a review starts | You order and pay for one | Repeat searches, a direct request, a dispute or a low-confidence result |
| Cost to the requester | 17.95–27.95 per site | No charge for reviews or re-reviews |
| Turnaround | 12 or 48 hours | Not stated for new reviews |
| Who’s named | Not specified | A named team; each report records the analyst and sign-off |
SiteScano also draws an explicit line on AI. It automates data collection, but says it doesn’t publish machine-written prose in a reviewer’s voice. Judgments about quality, authorship or intent come from a named analyst who read the site. For a reputation service, that’s a meaningful commitment as AI-written content floods the web.
Transparency and independence
Transparency is SiteScano’s clearest advantage. It names its analysts, publishes its weights and caps, and sets correction deadlines: it acknowledges reported errors within two working days, fixes factual errors within five, and completes full re-reviews within fifteen. That matters most to site owners trying to understand why a legitimate site scored low.
The same standard is worth applying to any review site. ToolScopia, which reviews AI tools, documents its testing and scoring methodology in a similar way. It pays for each tool, publishes the prompts and outputs from its tests, and uses user reviews as a cross-check rather than a second rating. A score you can trace back to evidence is worth more than one you have to take on faith.
On funding, SiteScano says its revenue comes from Pro subscriptions bought by readers, and that it charges nothing for reviews, removal or faster handling. ScamAdviser is free for consumers and earns money from business data services, paid manual checks and advertising. Neither model is a red flag, but it helps to know who pays when you weigh a verdict.
For site owners
Shoppers want to know if a store is safe. Site owners want to stay off blacklists and recover quickly when something goes wrong.
ScamAdviser mainly serves owners through profile claiming, its API and data feeds. SiteScano runs a dedicated protection track with scheduled malware scanning, blacklist monitoring, alerts and hands-on cleanup. If you own the website rather than shop on it, that difference may settle the choice.
Which one should you use?
| You are | Reach for | Why |
| A shopper checking a link from a text or ad | ScamAdviser | Instant verdict, large scam-report base |
| A shopper about to spend real money | Both, starting with either | A fast score, then a reasoned report if it’s borderline |
| A researcher needing a documented method | SiteScano | Weights, caps and analyst notes are public |
| A business buying trust data at volume | ScamAdviser | Mature API and data feeds |
| A site owner keeping a site clean | SiteScano | Scanning, monitoring and cleanup in one place |
| Someone reporting a scam | ScamAdviser | Larger, more active community |
For most people, the two tools complement each other. Run a quick check to catch the obvious. When the stakes are real, and the number doesn’t settle it, look for a report that explains its reasoning.
FAQs
Q. Can AI-generated scam websites fool trust checkers?
Sometimes, especially when the domain is new. Automated signals struggle to separate a new legitimate business from a new fake store, which is why both tools offer some form of human review.
Q. Does ScamAdviser use human reviewers?
Yes, on request. Its basic Trust Score is automated, but it sells manual expert verification for $17.95 (48-hour) or $27.95 (12-hour) per site.
Q. Can a website pay to improve its SiteScano score?
SiteScano says no. It states that it takes no payment for reviews, removals or reconsideration, and that scores change only when the underlying signals change or a factual error is corrected.
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| Disclaimer: This article was submitted by a guest contributor. The views and opinions expressed are those of the author and do not necessarily reflect those of AIInsights News. The content has been reviewed for editorial quality and relevance. |
