Editorial Policy & Review Methodology

1. Editorial Purpose

Aiifi covers AI, work, online learning, and career-focused technology. Our primary goal is to help readers make better decisions about what to use, what to buy, what to learn, and what to skip.

We do not publish content simply because a topic is trending or because it may attract search traffic. We publish when we believe a topic matters to our audience and when we can add original value through comparison, sourcing, evaluation, or practical analysis.

2. Authorship and Accountability

Where readers would reasonably expect a byline, Aiifi uses one. Byline pages link to author information so readers can understand who created the content and what they cover.

Aiifi currently publishes review and course content under the editorial identity Evan Selway. That byline is used consistently across Aiifi's AI and course coverage and links to a dedicated author page with background and topic focus.

We aim to make authorship self-evident, accurate, and useful to readers. Where editing, review, or fact-checking materially changes a page, we may note that on the page itself.

3. Source Standards

We prioritize primary sources wherever possible. For product and course pages, that means checking the official provider page, pricing or enrollment page, help center or support documentation, official refund or terms pages, and official launch or update announcements when relevant.

For course and subscription reviews, for example, we may verify claims against the official product or enrollment page, platform help center documentation, official pricing or refund terms, and provider blog posts or update announcements.

When a claim cannot be verified from a trustworthy source, we either avoid making it, qualify it clearly, or identify it as uncertain. We do not present marketing copy, affiliate claims, or unsupported social chatter as fact.

4. Review Methodology

Aiifi's review content is built around decision quality. We evaluate what the product or course is, how it is priced, who it is best for, where it is weak, and how it compares with nearby alternatives.

Depending on the topic, our reviews may assess:

• price structure and total cost of completion
• subscription versus one-off purchase value
• career relevance and likely learner fit
• depth, breadth, and curriculum structure
• platform limitations, exclusions, and refund rules
• comparable alternatives and better-fit substitutes

We aim to follow the same principles Google highlights for review content: demonstrate expertise, provide evidence, include quantitative comparisons where useful, explain what differentiates the subject from competitors, and discuss pros and cons based on original analysis.

We do not claim first-hand testing when it has not happened. If a page is based on structured research, public documentation, pricing analysis, and comparison rather than direct product use, we say so through the page's sourcing, methodology, and language.

5. Recommendation Standards

Aiifi publishes reviews, comparisons, and buying guides, so our content is designed to help readers act. That does not mean every page is written to force the same outcome. A recommendation is only credible if it clearly identifies who should buy, who should skip, and when a narrower or cheaper option is the better decision.

When we recommend a product as the best fit, we aim to explain why it is the best fit for a specific reader or use case. When we recommend against buying, we say so clearly.

Our reviews are more useful when they help readers avoid a bad purchase, not just make a purchase.

6. Affiliate Relationships and Commercial Independence

Some Aiifi pages contain affiliate links. If a reader clicks through and buys, Aiifi may earn a commission. We disclose that relationship on-page in line with applicable advertising disclosure standards, with the aim of making the commercial relationship clear, conspicuous, and close to the recommendation. For the full site-level explanation, see our Affiliate Disclosure.

Affiliate relationships do not guarantee a recommendation. A monetizable product can still be a poor fit for a reader, and when we think a product is the wrong choice we say so. Likewise, we may direct readers to a narrower or cheaper option when that is the better fit.

We do not accept payment in exchange for a guaranteed positive editorial verdict. Sponsored placements, if ever introduced, should be clearly distinct from editorial reviews.

7. AI Use in Content Production

Aiifi may use AI tools during research, outlining, drafting support, coding, formatting, or workflow automation. We do not treat AI output as authoritative on its own. Any AI-assisted content intended for publication is subject to human review, source verification, and editorial accountability.

Where automation plays a meaningful role in content production, we aim to make that understandable to readers through disclosures, methodology, or both. The purpose of using AI is workflow efficiency and structured analysis, not bulk publishing or search manipulation.

8. Updates, Freshness, and Corrections

We update pages when there is a meaningful reason to do so, such as pricing changes, policy changes, new product launches, updated access rules, or improved comparison information. We do not change dates merely to create the impression of freshness.

If a page is updated materially, we aim to revise the visible updated date. If a factual error is identified, we correct it as quickly as practical and may revise related language, comparisons, or recommendations where necessary.

9. Reader Experience and Page Design

We aim for pages that are useful, readable, and decision-friendly. That means clear headings, transparent authorship, visible trust information, scannable comparisons, and layouts that work on mobile as well as desktop.

We do not believe more words automatically make a better page. We prefer complete, specific, evidence-backed content over filler added to meet arbitrary word counts.

10. Public Guidance That Informs This Policy

This page is informed by public documentation from Google Search Central, the European Commission, the Advertising Standards Authority for Ireland, and the U.S. Federal Trade Commission, including:

• Google Search Central: Creating helpful, reliable, people-first content
• Google Search Central: How to write high quality reviews
• Google Search Central: General structured data guidelines
• European Commission: Unfair Commercial Practices Directive
• ASAI: General Rules
• FTC: Endorsement Guides FAQ

If you have a question about Aiifi's editorial approach, you can contact us here.