El Information Gain es la medida en que un contenido añade información nueva no encontrable en otros documentos web sobre el mismo topic. Patent Google 2020 (US 10,762,151) — algoritmo prioriza contenido que aporta perspective + first-party data + insights únicos vs derivado de público. Foundational SEO 2026 + mandatory GEO.
Qué es Information Gain · Google patent
Google patent (US 10,762,151) describe algoritmo que mide cuánta información nueva un documento añade sobre topic vs corpus existente. Documents con high Information Gain score se posicionan mejor + son citados más por LLMs.
Por qué importa B2B 2026
- AI content saturation · GPT/Claude generan contenido derivado masivamente.
- Information gain differentiator · first-party data + perspectives únicas + opinión defendible.
- LLM citation engineering · Perplexity/Claude/ChatGPT priorizan high-gain sources para citation.
- Google E-E-A-T algorithm · Experience pilar requires high Information Gain.
- Content marketing ROI · low-gain content masivo no rankea + no convierte.
5 strategies first-party data
- Original research · surveys + studies + benchmarks con propio sample size.
- Case studies cuantificados · clients reales con métricas verificables.
- Internal analytics · data propia agregada anonimizada (e.g. n=80+ clients benchmarks).
- Expert interviews exclusivas · CMO/CEO conversations no publicly available.
- Original opinions defendibles · contrarian takes con evidence backing.
Patterns high Information Gain B2B
- Benchmark studies · «We analyzed 80 B2B clients. Here’s what we found about CAC.»
- Anti-conventional wisdom · «Why MQL → SQL 13% is wrong target for mid-market.»
- Detailed case studies · numbers + screenshots + tactical steps + failures.
- Industry experiments · A/B test results con statistical significance.
- Personal experience · «In 12 years operating B2B agencies in Spain…»
Patterns LOW Information Gain (avoid)
- «What is X?» generic articles · paraphrased from Wikipedia.
- «Top 10 X» lists sin evaluation criteria · derived from Google search rankings.
- Generic AI-generated content · LLMs detect + Google demotes.
- Recycled industry reports · cite reports sin original analysis.
- Definitions sin first-person experience · academic definitions paraphrased.
Cómo aumentar Information Gain
- First-party data layer · cada artículo añade números/screenshots/insights propios.
- Author personal experience · «In our experience with X clients…» narrativa primera persona.
- Citations academic verificables · books/papers refuerzan E-E-A-T + uniqueness.
- Contrarian takes con evidence · challenges conventional wisdom con backup.
- Industry benchmarks propios · anonymized aggregate client data.
Errores frecuentes
- AI content sin layer first-party data. LLM + Google detectan.
- Curating sin adding insight. Linking + summarizing third-party sin perspective propia.
- Word count = quality. 3.000 palabras derivative < 800 palabras high-gain.
- Numbers sin context. «CAC 10K€» sin source/segment/period = low-gain.
- No defending opinions. Fence-sitting analysis sin posición propia.
Términos relacionados
- E-E-A-T — Experience pilar correlaciona Information Gain.
- GEO — LLMs priorizan high-gain.
- Topical Authority — gain across topic cluster.
- Schema JSON-LD — Article.citation refuerza.
- Featured Snippet — high-gain wins snippets.
¿Contenido B2B sin first-party data? Diagnóstico digital gratuito →