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The short version
Some outbound links on aipedia.wiki are affiliate links. If you click one of those links and buy a paid plan, aipedia.wiki may receive a commission at no extra cost to you.
Affiliate status does not influence scores, rankings, winner picks, alternative recommendations, warnings, pricing notes, or written assessments. When a commercial CTA uses an affiliate link, the CTA system can show a nearby disclosure such as "Affiliate link; no extra cost to you" at the decision point.
What changed in this refresh
- Re-checked the page against current FTC endorsement guidance and ASA/CAP affiliate-marketing guidance on June 6, 2026.
- Clarified that site-wide disclosure is not a substitute for stronger inline disclosure when a specific placement, paid test, sponsored post, or non-editorial commercial arrangement exists.
- Aligned the wording with the live commercial CTA system: affiliate CTAs carry `rel="sponsored"` and analytics metadata, while non-affiliate official links remain marked as official destinations.
How affiliate links work
When you click an outbound link to a tool's website, the destination site or affiliate network may record that the visit originated from aipedia.wiki. If you then sign up for a paid plan or make a purchase within that program's attribution window, the program may credit aipedia.wiki with a commission. You should pay the same public price you would have paid arriving directly.
Affiliate tracking is typically handled by a third-party network or by a vendor's in-house program. Networks currently used, applied to, or under evaluation include Impact, PartnerStack, Rewardful, FirstPromoter, ShareASale, Awin, and CJ Affiliate, along with direct programs for specific tools. The technical chain for click attribution, cookies, and partner dashboards is governed by each network's or vendor's own privacy policy.
Editorial independence
A tool's commission rate, cookie length, or partnership status has no effect on its score, ranking position, or written treatment. The scoring methodology at /about/scoring/ applies uniformly.
Concretely, the site has:
- Given lower scores to tools with affiliate programs when the product, pricing, moat, or long-term outlook did not justify a stronger recommendation.
- Recommended tools that pay zero commission when they are the best pick for a buyer job.
- Called out overpriced or stagnant products even while affiliate programs were active.
- Archived products in the dead tools section when they shut down, even when that removed revenue.
What you will never see
- Affiliate commission rates used as an editorial reason to rank, score, recommend, or criticize a tool.
- A tool ranked higher because it paid more.
- A "sponsored post" disguised as an independent review.
- A "featured partner" carve-out that bumps a paying vendor above a better alternative.
- Fake urgency, fake reviews, or fake consensus for commission.
Identifying affiliate links
aipedia.wiki maintains a site-wide affiliate disclosure through this page and the footer notice on every page. Commercial CTAs that use affiliate links may also include a short nearby note such as "Affiliate link; no extra cost to you" at the point where a reader is deciding whether to click.
If a specific relationship warrants stronger disclosure, such as sponsored content, a paid test, a vendor-provided trial that materially affects the review, or a non-editorial placement, it must be called out inline on the page in question. As of this June 6, 2026 refresh, aipedia.wiki does not publish sponsored reviews or paid placement rankings.
If a commission were to change editorial behaviour
It would be a breach of the editorial standards at /about/editorial/ and grounds for correction. Reader reports of suspected bias are read and acted on. Email editorial@aipedia.wiki with the tool name and the claim you think is compromised.
Regulatory compliance
This disclosure is designed around the U.S. FTC Endorsement Guides staff guidance, the FTC's advertisement endorsement guidance, and the U.K. ASA/CAP online affiliate marketing guidance. The practical standard is simple: if a commercial connection could affect how a reader evaluates a recommendation, disclose it clearly, plainly, and close enough to the decision that it is hard to miss.
This page is not legal advice. If a regulator, reader, affiliate network, or vendor identifies a disclosure gap, correction is welcome and should be sent to the editorial address below.
Contact
Questions about affiliate relationships, disclosures, or editorial independence: editorial@aipedia.wiki.