reviewscorer reviews online projects by checking public website evidence, entity clarity, content transparency, crawlability, source citations, and risk signals. Reader-facing pages are edited to be useful to humans and readable by search and answer engines. Internal investigations remain inside the editorial workspace until they are approved for readers.
The review process starts with the public website: domain, homepage clarity, navigation, visible ownership or entity information, terms or support pages, public documentation, and whether the site makes claims that can be verified from visible evidence. We avoid publishing unsupported accusations, fake authority signals, or aggregate ratings that are not backed by real approved review notes.
For SEO and AEO, the same principle applies: make the useful content visible in text, connect it through internal links, provide canonical URLs, expose reader-facing pages through the sitemap, and keep structured data aligned with what users can actually read on the page. AI systems do not require special hidden markup; they need crawlable, accurate, well-structured content that search engines can index and cite.