Information Gain: Google’s Potential Secret Weapon for Differentiating Content in a Crowded Search Landscape

Information gain, a concept borrowed from machine learning, refers to the additional, novel information a web page contributes beyond what already ranks for a specific search query. While Google has not officially confirmed the existence of a literal "information gain score" within its ranking algorithm, the principle behind it is gaining significant traction within the SEO community as a crucial differentiator for content creators. Whether or not Google directly utilizes such a score, focusing on information gain is paramount for building an owned audience, establishing brand authority, earning mentions in AI-generated answers, and ensuring search engines recognize your content as a valuable, unique resource.

At its core, information gain addresses the problem of search results where multiple pages offer essentially the same information. For finite topics, such as "how to improve your credit score," the core facts are well-established. FICO, a pioneer in credit scoring, identifies five core factors influencing credit scores. Consequently, many websites discussing this topic present the same fundamental advice, often differing only in the number of "tips" or "things" they list. This redundancy represents a missed opportunity for differentiation. Instead of simply reiterating existing knowledge, content creators could, for example, share proprietary customer data on score changes or personal credit improvement journeys.

Google’s patent application, filed in 2018 and granted in 2022, describes an "information gain score" designed to enrich search engine results pages (SERPs) with novel information. This score, as outlined in the patent, is indicative of the additional information a document contains beyond what has already been presented to the user. Ryan Law, Director of Content Marketing at Ahrefs, interprets this as Google rewarding content for being distinct, not merely superior.

The mechanism described in the patent suggests several key aspects of how information gain might function:

1. Per-User, Per-Session Calculation: Information gain is context-dependent, comparing a document against the content an individual user has already encountered within a single search session. A page offering new insights to a user new to a topic might be considered high in information gain, while for someone who has already consumed similar content, it might be redundant.

2. Meaning-Based Comparison, Not Wording: The patent outlines a model that converts the semantic meaning of documents into numerical representations. This allows for comparison even when pages do not share vocabulary. Content that merely rephrases existing information, without introducing new concepts, will occupy the same "semantic spot" as the original content and will not be rewarded for information gain. True information gain requires adding new ideas, often found at the "edges" of a topic—examples, data, or perspectives not yet widely covered.

3. Dynamic Re-ranking: Information gain scores are calculated dynamically throughout a user’s session. As a user consumes more content, unseen pages are re-scored and re-ordered based on what has already been covered. This "re-ranking" differs from initial SERP ordering, suggesting Google can adjust the results presented to a user mid-session based on their evolving information consumption. Some interpretations suggest information gain might feed back into Google’s broader understanding of a topic, influencing future content scoring and AI Overviews.

4. Eliminating Duplicate Facts, Not Just Pages: The information gain patent extends to AI-powered assistants and chatbots, aiming to prevent the repetition of facts. If multiple sources present the same information, an assistant might select the best source for each fact and then present only the novel information from subsequent sources, effectively pruning redundancy. For content creators, this means unoriginality could lead to their content being excluded from synthesized answers. To secure a place in such answers, content must offer specific insights not covered elsewhere, complementing foundational topical authority.

While Google has not officially confirmed the use of an "information gain score," several factors lead SEO professionals to believe it plays a role:

• Google’s Best Practice Guidelines: Google’s own guidance on helpful content emphasizes originality and substantial value compared to other pages in the search results. The Search Quality Rater Guidelines repeatedly instruct human raters to assess whether the main content adds value relative to similar web pages. Google’s announcement of reducing low-quality, unoriginal content by 45% further underscores the importance of originality.

  

• Algorithm Updates Rewarding Original Content: SEO experts have observed that websites benefiting from Google’s core algorithm updates often demonstrate a strong focus on original content, including proprietary data and unique tools. This suggests that Google’s ranking systems actively reward originality.

• Technical Capability for Mid-Session Re-ranking: Google has confirmed the use of systems like NavBoost, which re-ranks pages based on user click data, and other patents describe mid-session re-ranking. This technical capability aligns with the dynamic nature of information gain as described in the patent.

The significance of information gain has intensified with the rise of generative AI. As AI tools can produce comprehensive content rapidly, mere comprehensiveness is no longer a differentiator. Large language models tend to generate "consensus content"—the most probable information. This type of content is susceptible to being absorbed into AI Overviews without attribution and may contribute to reduced organic clicks. Information gain, by its nature, represents the content that is not yet consensus, making it less prone to click loss and more effective in building memorable brands that users will return to.

To incorporate information gain into SEO content, creators must identify and fill the gaps left by top-ranking pages. This involves:

• Studying Search Intent: Understanding what users are truly looking for is the foundation. Analyzing SERPs and using tools like Ahrefs’ "Identify Intents" report can reveal underserved intent groups or entirely new angles that are not yet addressed.

• Conducting Content Gap Analysis: Identifying what existing top-ranking pages cover is crucial for pinpointing where new information can be added. Tools like Ahrefs AI Content Helper can score content coverage against competitors, highlighting areas for enrichment and identifying unique contributions.

• Filling Gaps with Unanswered Questions: Trending questions, those appearing in "People Also Ask" boxes, and persistent queries on forums that remain unanswered on page one represent significant opportunities. Tools like Ahrefs’ "Questions" report in Keywords Explorer can help identify these trending, unanswered questions. Intercepting questions being discussed on platforms like Reddit, where users express unmet information needs, can also provide valuable insights.

• Including Unique Data: Original data is a highly defensible form of information gain. Studies have shown a strong correlation between unique data points and higher originality scores. This data can be derived from customer surveys, internal analytics, or polls, provided it offers genuine, novel insights.

• Keeping Content Fresh: Information gain has a temporal dimension. What is new today may become consensus tomorrow. Regularly updating content ensures it remains relevant and incorporates the latest information, which can also signal freshness to search engines.

In conclusion, while the direct impact of a formal "information gain score" on Google rankings remains unconfirmed, the underlying principle is undeniably critical for effective SEO. Information gain represents the essence of user experience—providing content that is not only informative but also unique and valuable in comparison to what is already available. By focusing on original data, distinct perspectives, and addressing unmet user needs, content creators can differentiate themselves in an increasingly crowded digital landscape, build brand loyalty, and ensure their content stands out to both users and search engines. The ultimate goal is to publish content that adds something genuinely new to the conversation, thereby enhancing user satisfaction and fostering a stronger connection with the audience.