AIOStory reads only the signals that are public on the page: titles, headings, structure, schema markup, robots rules, reviews markup, and location data. These are the same on-page signals an AI system can see when it decides who to recommend.

We measure

  • On-page public signals only. What both sites actually publish, nothing private and nothing behind a login.
  • The six chapters. Clarity, Identity, Substance, Reach, Reputation, and Locality, each scored 0 to 100, totalling 600.
  • Confidence. A rating out of 5 that tells you how strong the read was, so you know how much weight the verdict carries.

We don't

  • We never call a paid API or an LLM to score. The judging is deterministic, built from the public signals we read.
  • Same inputs, same result. Run the same two sites and you get the same score every time. No randomness.
  • We never fabricate. No invented scores, no fake reviews, no made-up numbers. If a signal is missing, the chapter reflects that and confidence drops.