New US anti-scam ad rules signal tighter verification ahead. Learn how Singapore SMEs can use AI checks to keep ads compliant, trusted, and effective.

Stop Scam Ads: AI Checks for Singapore SME Marketing
Scam ads aren’t just a consumer problem—they’re a business risk. When fake “too-good-to-be-true” offers flood social feeds, they train people to distrust all ads, including yours. That’s why the latest move in the U.S. matters for Singapore SMEs even if you don’t sell to Americans.
On 4 Feb 2026, U.S. Senators Ruben Gallego and Bernie Moreno introduced bipartisan legislation—the Safeguarding Consumers from Advertising Misconduct Act (SCAM Act)—to require social media platforms to take “reasonable steps” to prevent fraudulent advertising and to verify advertisers’ identity or business existence. Non-compliance would open platforms to enforcement by the Federal Trade Commission (FTC) and state attorneys general. The bill is aimed at platforms, but the ripple effects will land on advertisers too: more verification, more scrutiny, and more pressure to prove you’re legitimate.
This post is part of our Singapore SME Digital Marketing series, and I’m going to take a clear stance: waiting for platforms to “handle it” is a bad strategy. Smart SMEs build their own ad hygiene systems now—using AI where it makes sense—so compliance and credibility become part of how you market.
Source article: https://www.channelnewsasia.com/business/exclusive-us-senators-unveil-bill-prevent-scam-ads-social-media-platforms-5906941
What the U.S. SCAM Act signals (and why SMEs should care)
Answer first: The SCAM Act signals a global direction of travel—platforms will be pushed to verify advertisers and act faster on scam reports, which will raise the bar for legitimate businesses running social media ads.
The Reuters-cited reporting referenced in the coverage is blunt: internal documents suggested Meta expected a meaningful share of revenue from scam and illicit ads (later disputed by Meta). Regardless of the exact percentage, regulators are reacting to a real outcome: scams scale fast on ad systems built for scale.
Here’s what the proposed U.S. bill calls for in practice:
- Advertiser verification: platforms would need to verify government-issued ID for individuals or the legal existence of a business.
- Responsive enforcement: platforms would need to review and act promptly on scam reports from users or government entities.
- Clear liability path: failure to take “reasonable steps” could be treated as an unfair/deceptive practice—enforceable by the FTC and state attorneys general.
Even if you only target Singapore audiences, the big platforms don’t run country-by-country rulebooks forever. When verification and enforcement systems change in one major market, they often become default operating models elsewhere.
The quiet shift: from “buy ads” to “prove you’re real”
For years, many SMEs treated paid social as a simple pipeline: create an offer, run ads, track leads. The new reality is closer to financial compliance: identity, traceability, documentation, and auditability.
That’s not bad news if you prepare. It rewards the businesses that run clean funnels.
Scam ads hurt good advertisers more than you think
Answer first: Scam ads increase your cost per acquisition (CPA) and reduce conversion rates because they erode trust in the entire channel.
Singapore SMEs usually feel this in three practical ways:
- Higher friction: prospects hesitate, ask more questions, or ghost after clicking.
- Lower platform performance: ads get more negative feedback (“scam”, “misleading”), which can drag down delivery and raise costs.
- More account issues: verification requests, rejected ads, or even temporary ad account restrictions if your ads resemble common scam patterns (even unintentionally).
And here’s the uncomfortable part: some legitimate ads look scammy.
- Overpromising (“guaranteed results in 7 days”)
- Aggressive urgency (“only 3 slots left—pay now”)
- Vague business identity (no UEN details, no real address, no clear refund policy)
- “Miracle” pricing without terms (0% interest, free trials that aren’t actually free)
If regulation pushes platforms to tighten controls, these patterns become liabilities.
Where AI helps: compliance and authenticity at marketing speed
Answer first: AI is most useful for scam prevention when it’s used as a screening and monitoring layer—checking ad creative, landing pages, and lead flows for risk signals before the platform (or a regulator) forces your hand.
You don’t need futuristic systems. You need practical checks that run every week.
1) AI-assisted creative review (before ads go live)
A simple but effective workflow is to run every ad through an AI “policy + credibility” checklist.
What to scan for:
- Claims that trigger scrutiny: income claims, health claims, “guarantees”, unrealistic timelines
- Missing disclosures: terms and conditions, eligibility criteria, limitations
- Misleading formatting: fake UI elements, fake endorsements, “as seen on” without proof
- Brand consistency: mismatched names between ad, landing page, and payment page
Practical tip: create a standard prompt template your team uses for every campaign (or build it into your marketing SOP). The goal isn’t to sound bland—it’s to sound real.
2) Landing page authenticity checks (the stuff scammers skip)
Scam operators move fast, so they often skip the “boring” trust elements. SMEs should do the opposite.
Use AI or automation to verify your pages include:
- Clear business identity: legal entity name, UEN (where relevant), support email/phone
- Refund/returns policy: plain-English terms, not hidden fine print
- Pricing clarity: what’s included, recurring charges (if any), cancellation steps
- Proof that can be audited: testimonials with context, case studies with constraints
This matters because verification regimes increasingly connect dots: ad account → business verification → domain ownership → landing page transparency.
3) Pattern detection on lead quality (spotting “scam-adjacent” behaviour)
Not all fraud is “your ads are scams.” Sometimes the problem is your funnel attracts scam traffic—or your pages are impersonated.
AI can flag anomalies like:
- Sudden lead spikes from unusual geographies (if you’re targeting Singapore-only)
- Repeated names/phone numbers with pattern variations
- High click volume with near-zero time-on-page
- Form submissions that look like bot templates
When you spot these patterns early, you can:
- tighten targeting (locations, placements, languages)
- add friction (OTP verification, CAPTCHA, hidden honeypot fields)
- update creative to deter low-intent clicks
4) Faster response loops for reported scams or impersonation
The proposed SCAM Act emphasises acting promptly on reports. Whether or not Singapore adopts a similar law, speed is now a brand asset.
Set up monitoring so you hear about issues quickly:
- social listening for your brand name + “scam” / “fake”
- automated alerts for new pages or ads impersonating your business
- a clear internal escalation route (marketing → ops → legal/management)
A lot of SMEs lose days just deciding who owns the problem.
A practical “SCAM-proof” checklist for Singapore SMEs
Answer first: If you can prove who you are, explain what you sell, and show consistent customer protections, you’ll survive tighter ad rules—and likely get better performance too.
Here’s a checklist I’d implement for any Singapore SME running social media ads in 2026.
Step 1: Lock down your identity signals
- Ensure your business name matches across Facebook Page, ad account, website footer, invoices
- Keep a consistent “About” section with real contact methods
- Use a domain you control (avoid constantly rotating link shorteners)
Step 2: Standardise ad claim language
Create a small internal “allowed claims” library:
- What you can promise (and what you can’t)
- What needs proof (screenshots, reports, receipts)
- What needs disclaimers (results vary, eligibility, limited stock rules)
This prevents individual marketers from improvising into risk.
Step 3: Add transparency that doesn’t tank conversion
Transparency doesn’t mean long legal paragraphs. It means clarity:
- Put pricing and terms near the call-to-action
- Add a “How it works” section above the fold
- Make support easy to find
Counterintuitive result: clear terms often improve lead quality, even if they reduce raw lead volume.
Step 4: Use AI for continuous compliance, not one-off audits
Treat compliance like analytics—ongoing, not annual.
A workable cadence:
- Weekly AI scan of active ads and landing pages
- Monthly review of rejection reasons and user feedback
- Quarterly refresh of claim policies and approval workflow
Common questions SMEs ask (and my straight answers)
“If platforms verify advertisers, isn’t that enough?”
No. Platforms are optimising for their risk and liability, not your brand reputation. You still need your own checks so your campaigns don’t get caught in the net.
“Will stricter rules reduce scam ads quickly?”
It will reduce some, but scammers adapt. The consistent winners are businesses that build trust signals into their marketing—because customers learn to look for them.
“Does this mean we should advertise less on social?”
Not if social works for your business. It means you should advertise more deliberately: cleaner creative, clearer landing pages, better tracking, faster response to issues.
What to do next (before the next policy wave hits)
The SCAM Act is U.S. legislation, but the direction is unmistakable: ad ecosystems are shifting toward verification, accountability, and faster enforcement. For Singapore SMEs, that’s not a reason to panic—it’s a reason to run tighter operations.
If you want a simple starting point, do this in the next 14 days:
- Audit your last 10 ads for scam-like phrasing and remove the worst offenders.
- Add clear business identity and support details to every campaign landing page.
- Set up an AI-driven review step before ads go live (creative + landing page).
In this Singapore SME Digital Marketing series, we talk a lot about growth. Here’s the 2026 version of that idea: growth without trust is fragile. The brands that win will be the ones that look legitimate at a glance—and can prove it when asked.
When platforms and regulators tighten the screws, will your ads look like a real business… or like a risk they can’t be bothered to defend?