Information gain in SEO

A Google patent titled 'Contextual estimation of link information gain', granted in 2022, describes scoring documents by how much new information they provide to a user who has already seen other documents on the topic. Patents describe possible methods, not confirmed ranking systems, so this does not prove Google uses such a score. The idea aligns with Google's public guidance asking whether content provides original information, research, or analysis, and substantial value compared with other pages.

These additions are hard for competitors to copy.

Every growth page on serionflow.com includes a dated evidence block with something we measured ourselves, such as the mix of page types ranking for the query on a given date, whether Google showed an AI Overview, and which questions appeared in People Also Ask. For our Reddit guide, we counted how many of 170 SEO and AI search results pages included a Reddit thread in the top ten. Those facts did not exist anywhere else before we published them.

AI answer engines summarise several sources. A page that says what every other page says gives them no reason to cite it specifically; a page with a unique figure, example, or finding does. Information gain is therefore one of the clearest levers for AI citations as well as for search. Present unique facts in plain, self-contained sentences so they can be quoted accurately.

Read the top five results for your target query, list what they all say, then list what your page says that they do not. If the second list is empty, the page needs work before it deserves to rank. SerionFlow's quality gates require a first-hand evidence element on growth pages for this reason; the evidence itself has to come from real measurement, which no tool can invent. SerionFlow is the wrong tool for producing original research for you; the evidence has to come from your own measurement.