I keep seeing information gain / “non-commodity content” discussed as though we have fairly good evidence that Google rewards pages for saying something new.
I’m not convinced we can actually isolate that. I mean, Google’s own example makes me more skeptical.
They compare something generic like: “7 Tips for First-Time Homebuyers”, with something much more specific and experience-based like: “Why We Waived the Inspection & Saved Money: A Look Inside the Sewer Line.”
The second one is obviously more unique. But it is also a completely different search problem.
It is narrower, more specific, probably has fewer directly competing documents/pages, uses more specific vocabulary, and is much closer to a long-tail information need.
So when that kind of content performs better, how are we separating:
- information gain
- uniqueness
- better query relevance
- lower competition
- fewer competing documents
See, I totally get that info gain or diversity makes a lot of sense when choosing sources for AI answers. What I’m questioning is the jump from: “Google can measure this” to “Google rewards this as an independent organic ranking factor.”
I also see tools comparing your wording against the current SERP and measuring things like phrase overlap, unique n-grams and vocabulary diversity. These can tell you your page looks less like the other ranking pages. But does it tell us why one page ranks?
A mature, competitive SERP naturally seems likely to have lots of content convergence. Everyone has researched the same entities, copied similar outlines and covered the same obvious points.
A niche query naturally has fewer pages, more specific language and more unusual information.
That alone could create a relationship where: more competitive queries = more “commodity” content, and less competitive queries = more “unique” content, without Google needing an information-gain ranking factor at all.
I’m not even sure a clean SEO-side test is possible. Say you take the same page and add genuinely new information. You’ve now also added new words, entities, facts, and semantic relationships. That can cause the page to surface for additional queries, get more impressions and clicks, and potentially strengthen from there. If rankings improve, how do you know Google rewarded the information gain itself rather than the page simply becoming relevant to more searches?
The variable you're trying to test changes the retrieval characteristics of the document at the same time. That seems incredibly difficult to decouple without access to Google's own ranking experiments or internal logs.
I’m much more convinced by information gain as a source-selection concept for AI answers. Once three sources already say the same thing, a fourth source with a new fact clearly has more utility.
I’m less convinced we can currently show the same thing happening as an independent ranking factor in normal organic search.
I mean one could even rank a blank page or a page with just a video embed tbh. So, is info gain even a ranking signal/factor in search rankings? Doesn't seem plausible to me.
Curious to know what I’m missing here. Has anyone seen a test that genuinely separates uniqueness/information gain from query specificity and competition? What are your thoughts in general?