Start with the strike arithmetic
Your decision is whether a draft page can run with Google ads, not which loan is best. The AdSense search ads (AFS) penalty rules place concrete, explicitly stated promises that cannot be fulfilled in the egregious tier: one egregious violation equals one strike. “Promising loans” is among the table’s examples. Normal violations accumulate: five policy violations equal one strike. One outcome promise in a headline can outweigh careful body copy, while vague affordability language may add risk across pages. Scope: ad eligibility, not loan shopping.
Why loan content is restricted, not banned
Google publisher policies are content and behavior rules. Publisher restrictions are separate: pages may still carry AdSense code, but restricted content is likely to receive less advertising than unrestricted content; restrictions divide into content and behavioral categories. AFS penalty rules define violations and strike weights.
In the US and Canada, personalized ads may not be selected or targeted by gender, age, parental status, marital status, or ZIP code for credit-related products or services, banking products and services, or certain financial planning and management services. Examples include credit cards and loans, bank and checking accounts, and debt management products. Targeting also may not use inferred or actual sensitive information, including negative financial status information or detailed personal financial information such as indications of a low credit rating or high debt burden.
The topic is not prohibited; wording, targeting, and page structure are risky.
Three claim patterns to diagnose
Use the table as triage, not a ruling: examples are general, and matching them to a phrase is editorial analogy.
| Loan-page claim pattern | Closest policy example in retrieved materials | Stated violation tier | Stated strike weight |
|---|
| Guaranteed approval / “everyone qualifies” framing | “Promising loans,” listed among concrete, explicitly stated impossible-to-fulfil promises | Egregious | 1 egregious violation = 1 strike |
| Absolute no-credit-check or “credit history ignored” promise | “Specific promises outside of your control,” illustrated with a no-credit-check account-opening example | Egregious | 1 egregious violation = 1 strike |
| Vague affordability copy, or a promised lender list never delivered | Unclear/non-explicit promise (“Graduate education should be affordable!”); specific information provided but no real list made available | Normal | 5 policy violations = 1 strike |
The tier difference is the lesson. An approval prediction or absolute credit-check negative is egregious-tier risk: one instance, one strike. Vague affordability copy or a promised list with no deliverable is normal-tier, but five such violations equal one strike. The table does not state that these exact loan phrases were formally ruled violations; it states the examples and weights that make the analogy defensible.
Risk pattern 1: approval framed as a promise
What the page says: “everyone qualifies,” “guaranteed approval,” or “bad credit? you’re approved.” The nearest cited anchor is “Promising loans” in the egregious tier for concrete, explicitly stated promises that cannot be fulfilled. Approval is an underwriting outcome the publisher does not control.
Rewrite direction: describe the process and checks without predicting the result. Explain what readers can review or submit rather than declaring the outcome. Keep the conversion path; remove the prediction. This is analogical mapping, not a Google ruling on those phrases.
Risk pattern 2: “No credit check” as an outside promise
The table lists “specific promises outside of your control” in the egregious tier, illustrated by “Open a PNC high-yield savings account with no credit check!” Whether a credit check occurs is a lender or underwriting decision, not a publisher deliverable. An absolute no-credit-check claim therefore promises something the page cannot guarantee.
Rewrite direction: state what the page can verify, such as submission fields or next steps. Avoid absolute negatives about credit checks. Check titles, meta descriptions, comparison headers, and callout boxes.
Risk pattern 3: vague promises and undelivered lists
The normal tier covers unclear or non-explicit promises, such as “Graduate education should be affordable!” and cases where specific information is promised but no real list or tangible offer is delivered, such as “See a list of top doctors near you!” without the list. Loan-page translations include “affordable loans,” “the best rates available,” or “see the top lenders near you” with no actual list or criteria.
Misleading-statement rules also bar misrepresenting or concealing information about the publisher, creator, purpose, or content, and falsely implying an association with or endorsement by another person, organization, product, or service. That affects affiliate disclosure: hidden commercial purpose or unsupported endorsement risks the framing.
Layout risks on thin affiliate pages
Layout adds risk. Publisher policies disallow ads on screens where advertising or paid promotional content occupies a larger share than the publisher’s own content. They also disallow ads on screens with embedded or copied content and no commentary, curation, or other added value. Templated loan roundups often fail on both: repeated boilerplate, thin summaries, and prominent ad units crowd out original material. Deceptive-behavior rules also prohibit promoting content, products, or services through false, untrue, or deceptive information, with “get rich quick” schemes as an example.
Pre-publish checklist and limits
Before publishing, remove approval predictions and absolute credit-check negatives. Replace promised lists with real, described criteria. Verify publisher identity and content-purpose disclosure. Audit ad-to-content ratio and copied-content value. Confirm that personalized targeting on credit categories avoids gender, age, parental status, marital status, and ZIP code in the US and Canada, and that sensitive financial signals do not drive audience selection. Check ads.txt entries for accuracy.
Limits: the retrieved materials contain no consumer lending data—rates, fees, lender names, credit thresholds, or funding times—so none is cited. They also do not establish US federal or state loan-advertising requirements, including Truth in Lending, Regulation Z, CFPB, rate-cap, or licensing rules. Policy texts can change, enforcement is case by case, and the US/Canada targeting rule does not generalize elsewhere. This is neither legal nor financial advice; consult a qualified professional.
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