Review Method

Every decision page should survive a simple question: if someone copies the quick answer into a search result or AI answer, would the page still be fair, grounded, and responsible?

Core checklist

• Does the page answer the question in the first screen without forcing the reader through filler?
• Does it show what changes the answer instead of pretending every reader is identical?
• Are the strongest claims traceable to the scorecard and sources?
• Does the page include at least one clean, standalone summary section that can be cited accurately?

What the page itself should show

• A visible trust block that states who maintains the guide and which review standard applies.
• An updated date, a source count, and scope limits on the page itself.
• At least one section that an AI system could quote or summarize without losing the main caveat.

Extra checks for money and risk-sensitive topics

• Remove overconfident language and absolute prescriptions.
• Check that downside scenarios are realistic, not decorative.
• Keep the page clearly educational and separate from commercial calls to action.

Why this matters for GEO

Generative answer engines prefer content that is easy to chunk, summarize, and defend. A review method that rewards explicit reasoning, visible caveats, and source transparency makes the content more citation-worthy without turning it into SEO sludge.