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Start with the reader’s financial decision
Build the page around what a reader needs to decide, not around a phrase you hope an AI system will quote. State who the guidance is for, what choice it helps with, and which factors materially change the answer. For example, a comparison of financial products should explain how intended use, costs, limitations, and eligibility affect the fit; do not present a universal winner if the evidence supports different choices for different readers.
Google’s guidance recommends creating content for people rather than primarily to manipulate rankings. It says SEO can help when applied to people-first content, and that E-E-A-T is not itself a specific ranking factor, even though Google systems use signals associated with helpfulness and trust. Google’s people-first content guidance was last updated October 1, 2026.
Show what supports each recommendation
A useful affiliate article makes its reasoning inspectable. Explain how options were selected, what was compared, who may benefit, what the important limitations are, and what would change the recommendation. Keep verified public specifications distinct from firsthand observations. If the author has not used or tested a product, do not imply otherwise; FTC staff guidance puts it plainly: “You can’t talk about your experience with a product you haven’t tried.”
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Original analysis or genuine experience can add value beyond a summary of product pages. If a recommendation relies on public documentation rather than firsthand use, say so in ordinary language and link readers to the underlying evidence where practical. Google’s search guidance favors unique viewpoints and information that is not merely commodity material; neither that guidance nor a compelling review justifies inventing tests, results, or personal experience.
Disclose affiliate relationships where the recommendation appears
Tell readers plainly when a link may earn the publisher a commission. Put the disclosure close to the recommendation or endorsement, not only in a footer, a general policy page, or behind a click. FTC staff’s U.S.-focused guidance says, “The disclosure should be placed with the endorsement message itself.” Publishers should also check the rules that apply in the jurisdictions where their audience is located.
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If it accurately describes the publisher’s arrangement, a plain-language notice could read: “Some links are affiliate links. If you buy through them, we may earn a commission, at no extra cost to you. This does not affect how we evaluate or recommend products.” Change it if the relationship differs; a disclosure must describe the actual commercial connection, not a boilerplate assumption.
Affiliate links alone do not make a page untrustworthy. Google’s spam-policy examples distinguish original affiliate material with clear authorship and editorial responsibility from copied promotional content whose responsibility is unclear. Keep links relevant to the article, make editorial responsibility apparent, and ensure the recommendation would still help a reader understand the choice even if they did not click.
Make the page understandable and accessible—not “AI-optimized” by gimmick
Use descriptive headings that follow the reader’s decision process, concise explanations, and tables or lists when they make genuine comparisons easier to inspect. Do not create thin pages for every wording variation of the same query or break a coherent article into tiny fragments just to target AI responses.
Google says its generative AI search features rely on the same basic Search foundations: the page must meet technical requirements, be eligible to appear with a snippet, and be crawlable. It also says no special AI file or markup is required, and publishers do not need to rewrite content in a special style for AI. Meeting eligibility requirements does not ensure crawling, indexing, or display: Google’s guide to generative AI features in Search says, “Indexing and serving aren’t guaranteed.”
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- Check that the page can be crawled and is eligible to appear with a search snippet.
- Use Search Console or another suitable diagnostic to investigate indexing or accessibility problems.
- Write accurate titles, descriptions, and other page information that represent the content rather than promise an outcome.
These are ordinary discoverability and accessibility practices, not a promise of an AI citation, ranking, or traffic increase.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Use AI assistance without outsourcing editorial responsibility
If AI helped draft or revise the article, a person should verify every factual claim and assess whether the content is accurate, relevant, and useful. Review titles, descriptions, structured data, and image alt text too—not just the main paragraphs. Explain how automation was used when readers would reasonably want that context.
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Google warns that generating many unoriginal pages with little user value to manipulate rankings can constitute scaled content abuse, regardless of how those pages were produced. A human review should do more than polish wording: remove unsupported claims, confirm the evidence, and make sure the page adds something useful rather than repeating generic product descriptions.
Keep the trade-off clear: discoverability serves trust when it serves readers
Clear organization, accurate descriptions, relevant affiliate links, and accessible pages can help both readers and search systems understand the content. The opposite approach—repetitive pages with little original value, manufactured claims of firsthand use, concealed commercial relationships, or unsupported promises—risks reader trust and may conflict with search policies. The goal is not to choose between SEO and credibility; it is to avoid ranking manipulation while making sound editorial work easier to find and understand.
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