Editorial Policy

Mac To iPhone is an independent tech publication. We participate in affiliate programs (including the Amazon Services LLC Associates Program) and may earn a commission when you click on retail links and make a purchase.

Crucially, affiliate partnerships never influence our coverage or scores. Our algorithms are strictly programmed to reflect the consensus of independent critics. If a product is bad, our site will tell you it is bad—regardless of whether we earn a commission on it.

We believe in the power of programmatic tools to help consumers make better decisions. Mac To iPhone uses advanced Large Language Models (LLMs) to monitor product lifecycles, track daily pricing, and synthesize thousands of independent tech reviews into one cohesive verdict.

• Strict Data Grounding: Our AI models are explicitly banned from hallucinating specifications or inventing rumors. They are strictly fed verified RSS feeds and published reviews from trusted outlets.
• Editorial Oversight: While the AI summarizes the consensus, the architecture, rating weightings, and product catalogs are managed by human editors.
• The Critic Score: Our signature 100-point score is a pure mathematical aggregation, untouched by AI sentiment.

If our scrapers misread a price or our AI incorrectly summarizes a review, we want to know about it. We are committed to correcting factual errors swiftly. If you spot an inaccuracy in our data, please contact us.

We do not aggregate reviews from every blog on the internet. Our system carefully curates reviews from established tech publications with a proven track record of editorial independence and rigorous testing methodologies. You can read more about how we weight these publications on our Methodology page.