Once you look at how “information gain” is used in SEO content, it has all the hallmarks of a myth.
You can’t see it or measure it
There is no “information gain” metric in Google Search Console, no field in your logs, no official API. Any score you see in tools is an approximation or a branding exercise.
That makes it impossible to:
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Isolate “information gain” from all the other changes you make to content.
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Run controlled experiments where you adjust information gain and keep other variables constant.
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Build a reliable feedback loop between “we did X” and “Google’s response was Y”.
Without observability and testability, you’re not dealing with a ranking factor. You’re dealing with a story.
It collapses into “add more stuff” advice
When you strip away the jargon, almost every “information gain SEO” article boils down to:
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Don’t just copy the top 10 results.
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Add your own insights, data, and examples.
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Bring something new to the table.
That’s good editorial practice—but it’s not a new ranking system. It’s the same advice good SEOs have been giving for years under different names: “10x content”, “original research”, “unique value proposition”, and so on.
Rebranding “write something actually useful” as “optimize for information gain” doesn’t change how search works. It just makes the advice sound more mysterious.
It misunderstands how retrieval and ranking work
Search and generative systems do care about more than simple keyword matching. They use a mix of:
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Relevance signals
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Authority and trust signals
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User behavior and satisfaction signals
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Diversity, novelty, and redundancy controls
Internally, those systems may use math that looks like information gain, entropy, or mutual information. But that doesn’t mean there’s a user‑visible “information gain dial” you can turn.
The leap from “researchers use information gain as a concept” to “SEOs can optimize information gain as a ranking factor” is where the myth lives.
The dangerous incentive: more volume, less truth
There’s a deeper problem with the way “information gain” is sold in SEO threads: it encourages novelty for novelty’s sake.
If you believe Google rewards anything that looks “new” compared to existing content, you’re incentivized to:
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Invent fresh angles, numbers, and tactics just to be different.
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De‑emphasize corroboration and consensus in favor of standing out.
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Treat “not matching the SERP” as a virtue regardless of accuracy.
In a world where Google and LLMs can’t deeply fact‑check every claim, that’s a perfect recipe for misinformation:
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Volume over veracity. More content, more claims, more contradictions.
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Noise over signal. Retrieval systems see more variation, but not more reliability.
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Confusion over clarity. Users get conflicting answers to the same question, and trust erodes.
If search engines naively rewarded “being different”, they’d destroy their own usefulness. That alone should make us skeptical of any simplistic “information gain boost.”
