Stop Publishing Commodity Content: Understanding Google's Information Gain

15 July 2026 2 min read Technical SEO

The Reality of Crawl Economics

We spend too much time obsessing over word counts and not enough time on crawl economics. Google processes billions of clicks daily, but it is also managing a massive, ever-growing index. If you are churning out content that adds nothing new to the existing corpus, you are fighting a losing battle. The practical route is simple: if your content doesn't provide a unique contribution, it is just technical debt waiting to be pruned.

A visualization of content vectors and information gain

What the Information Gain Patent Actually Means

The patent for 'Contextual estimation of link information gain' describes a system that evaluates whether a document adds value beyond what a user has already consumed. Think of it as a quality filter that decides if your page is worth showing after a user has already visited a competitor's site.

Feature Commodity Content High Information Gain
Source Material Existing SERP results Primary data/interviews
User Goal Met by others Advanced or unique
Index Priority Low High
Risk of Pruning High Low

This is where the problem usually appears: teams assume that 'more' equals 'better'. Google normalizes for length, meaning a 3,000-word fluff piece will not outrank a 500-word piece that actually solves the user's problem.

The Information Gain Patent and Technical Authority

Google doesn't just look at keywords; it looks at the 'effort' and 'originality' behind a page. This is where technical authority becomes your primary defense. If you aren't signaling expertise through structured data and unique, verifiable content, you are essentially asking to be deprioritized.

Google’s systems are increasingly moving toward a model where they synthesize answers. If your page provides no novel information, it will be excluded from the 'fan-out' of results that Google serves to satisfy a user's journey.

Prioritizing for Impact

Do not export everything and call it an audit. When you look at your indexation reports in Google Search Console, look for patterns of 'beige' content—pages that have no traffic, no links, and no unique value.

Prioritise by crawl impact, indexation impact and commercial value. If a page is not contributing to your bottom line and is failing the information gain test, it is a liability. This is a small task with high leverage: trim the dead weight to improve the crawl budget for your high-value pages.

Conclusion

Stop chasing volume. The future of search is about efficiency and user satisfaction. If you want to succeed, focus on content optimization that centers on first-party data, proprietary analysis, and real-world experience. A crawl is evidence, not the whole truth—the rest is up to how well you serve the user's intent.

Frequently Asked Questions

Does longer content rank better according to the information gain patent?
No. Google normalizes for length. The patent suggests that providing unique, novel information is far more critical than word count.
How can I improve my content's information gain score?
Focus on adding original data, first-hand experience, proprietary analysis, or interviews that cannot be found elsewhere on the web.
Is the information gain patent used in real-time ranking?
While patents don't confirm deployment, the principles align with how modern AI and search systems prioritize unique content over redundant information to save computational resources.

Written by

Tony Morgan

Guest poster: Senior Technical SEO specialist

Tony is an SEO and digital strategy lead specialising in technical optimisation, content systems, and performance-driven website architecture.

With a hands-on background in development and automation, Tony focuses on building scalable SEO frameworks that combine clean code, structured content, and data-led decision making. His work spans technical audits, Core Web Vitals optimisation, entity-based content strategies, and custom tooling to support large-scale websites.

Tony takes a practical, engineering-first approach to SEO, favouring measurable improvements over surface-level tactics. He works closely with developers and content teams to ensure websites are not only discoverable, but genuinely useful for users and modern search engines.

Technical SEO and site architecture Core Web Vitals and performance optimisation Entity-based SEO and GEO strategies Content automation and structured data JavaScript SEO and renderability
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