Information Gain for Blog Writing Is the SEO Skill of Saying Something New
I have read a lot of blog posts that took somebody three hours to write and said nothing. They were clean. They were on topic. They put the keyword in the H1 and the opening line. And they repeated, almost sentence for sentence, what the other nine search results already said. That gap is the thing information gain is meant to close, and it is the one SEO writing skill most content teams still treat as optional instead of the job.
What information gain for blog writing actually means
Information gain for blog writing means adding information to a blog post that the existing ranking pages, and the language models trained on them, do not already contain. It is not length, and it is not keyword density. It is the new data, first-hand experience, or original analysis a reader gains from your blog post and cannot find anywhere else for that search query.
That definition matters because most writers hear the concept and reach for more words. They pad. They add a history section nobody asked for. But information gain is not volume, and it is not a longer version of the same consensus content everyone else published. A 900 word post that contains one genuinely new number can carry more gain than a 3,000 word guide that rephrases the consensus in a fresh coat of paint. What matters is how much unique information a reader keeps after your content, information they could not already pull from the page ranking above you in the search results.
But information gain is not volume, and it is not a longer version of the same consensus content everyone else published.
The information gain patent is narrower than the SEO headlines admit
Almost every article on this topic points to the same source, Google's patent "Contextual estimation of link information gain", filed in 2018 and granted in 2024. The patent describes an information gain score, defined as "additional information that is included in the document beyond information contained in documents that were previously viewed by the user." In some versions of the patent, that score comes from running the document through a machine learning model against the topic's whole content corpus, so Google can estimate how unique a page is without a fixed list of what the user already read. That mechanism, scoring a document by what it adds, is what the patent actually protects.
Read the patent title again, though. It is about link information gain, the value of the next document a user might see, scored in the context of what they already read. The late Bill Slawski, who analyzed more Google patents than anyone, summed it up plainly: the system may boost pages in the search results based on how much information they add to a searcher and demote them when they add little. So the unit the score measures is not your page in isolation. It is your content compared to everything the user has already seen on that search query. Completeness is no longer the win. You write to be the second click worth making.
Why comprehensive content stopped being enough
For a long time the winning move in SEO content was to be the most thorough result on the page. That worked until the tools that summarize thoroughness got good. Now a language model can read ten guides and hand the user a synthesis in seconds, which makes comprehensive content the SEO baseline, not the edge. Google's own search results increasingly reward the page that adds new information over the one that repeats it, which is the whole concept behind information gain.
Look at what happens in an AI Overview. When Google builds one, it pulls from multiple pages and, by seoClarity's research, cites an average of five sources, with top-ten pages showing up in those overviews more than half the time. The content that earns a citation is the content that adds something the other four sources did not. Everything else gets absorbed into the answer with no link and no credit. A language model is very good at one thing, repeating consensus, because consensus content is what it was trained on. The part it cannot generate is the part you lived: your test, your client's number, your opinion. That unique information is your information gain, and it is the only part of your blog post a model cannot reproduce on its own.
The consensus content test I run before I publish
Here is the practical move I use with writers, and it costs nothing. Before a post goes out, I ask a language model to write the same article, same intent, same search query. What comes back is a clean map of the consensus content, the information everyone already agrees on. Then I lay it next to our draft and delete every sentence the two have in common. Whatever survives is the information gain. The concept is that simple: your gain is the original data, examples, and analysis left after you subtract the consensus, and that leftover is what the score rewards. If almost nothing survives, the content is not ready, no matter how polished it reads.
Filling that gap is a sourcing problem, not a writing problem. The unique information lives in places a search of the existing content cannot reach, which is exactly why it counts. Three sources reliably create it. The first is your own original data, even small data: the support tickets you actually field, the prices you actually charge, the before and after from one real project. The second is a subject matter expert, the person on your team who knows the topic cold and can say the thing none of the ranking pages thought to say. The third is original research and analysis, taking numbers that exist and drawing a conclusion nobody has published yet. None of that comes from reading the search results. It comes from knowing something.
Information gain is not a magic ranking lever
I want to be honest about its limits, because the buzzword crowd oversells it. Adding new information does not, by itself, vault a page up the search results. SEO veteran Cyrus Shepard recently flagged a study by Eric Lancheres measuring how much new information a URL carried against where it ranked, and the new information alone did not move the needle much. That result sounds like a contradiction. It is not.
Information gain will not rescue a weak page. It is the price of admission for being worth citing at all. A page still needs to match search intent, load well, and come from a domain Google has reason to trust. A high information gain score stacks on top of those. Think of it the way the team at Digitaloft frames the equation: intent plus information gain plus reputation. Strip out the gain and you are eligible to rank and easy to replace. Anyone can rewrite your content, including a machine. Keep the gain and you become the source other pages and AI answers point back to, which is a far more durable place to stand than first position on a commodity post. The unique research, in fact, tends to earn the links on its own, because no competing content holds the same data.
What information gain changes about how you write
The takeaway is a habit, not a tactic. Stop opening a blank doc by reading the top five search results and stitching their best parts together. That is how you create a slightly better copy of everyone else's SEO content, and a slightly better copy is the easiest content in the world to make obsolete. Start from what your business actually knows that the other pages do not, then write that down clearly.
Narrowing helps too. A 2025 300 B2B SaaS site analysis found that companies segmenting content by industry grew top-ten rankings 43.4 percent on average while unsegmented sites declined, because specific advice for a named audience is unique information a generic guide structurally cannot hold. So write for fintech founders, not "businesses." Before you publish, ask the most honest question in content right now: does this post need to exist, or could a reader get all of it from Google's AI Overview or a chatbot? If the answer is the chatbot, you have not added anything yet.
This is the same logic that decides whether Google thinks you are worth citing in the first place, and it is why information gain only pays off when the rest of your house is in order, whether that is helpful content system domain evaluation or how content silos connect. It all sits inside a content strategy built to survive every algorithm update. If you want help turning this into a repeatable SEO content process instead of a one-off, that is exactly the content strategy work we do every day. The writing part is simple to say and hard to practice: have something to say, then say it before anyone else does.
By Katrina Kendall
Katrina Kendall
Content Strategist at Right Thing SEO, where she helps business owners sound like the experts they already are. Her focus is on translating real-world experience — the kind that lives in a founder's head but never makes it onto the page — into content that satisfies Google's E-E-A-T standards and actually converts. Before joining Right Thing, she spent six years in B2B content strategy, where she got tired of watching brilliant operators get outranked by generic blogs written by people who'd never done the work.