Affiliate marketing means you may receive a commission when a reader takes a qualifying action through your link. AI can help organize research and improve a draft, but it cannot supply experience you never had. A convincing product story is not evidence that a product is useful.
If you are building a blog or a small side business, start with a reader’s decision. Someone comparing transcription tools, for example, may care more about correcting names and exporting a transcript than a list of fifty features. The article should help them decide, including when buying nothing is reasonable.
This is general educational information, not legal, tax, or financial advice. It does not promise earnings. Affiliate program terms and advertising requirements differ, so check those relevant to your work.
Choose a question you can answer responsibly
Write the reader’s situation before choosing products: “I need to transcribe a short interview and correct it before sharing.” Then list decision criteria such as supported languages, export formats, privacy terms, accessibility, and total cost. Choose criteria because they affect that task, not because one product earns a larger commission.
Keep the comparison narrow enough to maintain. A small article with current facts and meaningful limitations is more useful than an enormous list generated from outdated descriptions.
Make a product evidence worksheet
For each factual claim, record the official source, plan or version, date checked, and any qualification. Separate published specifications from your own observations. Check prices and limits on the provider’s current pages before publication rather than asking AI to recall them.
If you have not tried a product, say so. Describe the piece as a comparison based on published information. Do not write “we tested,” invent screenshots, or present generated anecdotes as customer experiences. A real test should explain what was done and what was observed, including disappointing results.
Use AI to find gaps in the draft
Using only this evidence worksheet, create an outline answering the reader’s question. Identify unsupported claims, missing plan details, and differences between published specifications and firsthand observations. Do not invent experience, ratings, prices, or testimonials. Include reasons someone might choose a free alternative or delay buying.
Check the outline against the worksheet. If the model turns “the provider lists this feature” into “this is the easiest tool to use,” it has changed the strength of the claim. Restore the distinction or remove the sentence. You are responsible for the published wording even when AI supplies it.
Explain the commercial relationship clearly
In the United States, the FTC’s endorsement guidance says affiliate relationships should be disclosed clearly and conspicuously. Put the explanation where readers can connect it to the recommendation and relevant links. A disclosure hidden on another page can be missed.
An example to adapt truthfully is: “If you purchase through these links, I may receive a commission.” Explain any free product or other relevant relationship as appropriate. The FTC notes that the label “affiliate link” alone may not tell readers that you get paid. Check how disclosures appear on a phone as well as a desktop.
Add value beyond the product page
Google’s review-writing guidance emphasizes useful comparisons, evidence of experience, benefits and drawbacks, and factors that matter to the user’s choice. It does not promise a search position or an income level.
Your contribution might be a carefully explained compatibility question, a verified limitation, or a transparent comparison for a specific use. For example, if one tool exports only a format the reader cannot use, explain that constraint and its source. Avoid copying a vendor’s enthusiasm and calling it a review.
Review the business results honestly
Track the time and costs of research, tools, testing, and updates alongside commissions actually received. Canceled orders, returned purchases, and program changes may affect payment. Clicks and estimated commission figures are not the same as cash received or profit.
Set an update reminder for facts likely to change. Correct broken links and remove recommendations you can no longer support. Do not keep an outdated endorsement live solely because it once produced sales. Read Build a Reading List You Can Trust for a practical approach to keeping research sources organized.
Before publishing, ask whether the article would still help someone if every commission link disappeared. If the answer is yes, AI has supported useful editorial work. If the answer is no, the article needs more substance before it needs more links.
AI disclosure: This article was written and revised with AI assistance. Sources checked September 24, 2026. See our disclaimer.
Illustrative photograph by Lilly Rum on Unsplash.
