Entity gap analysis

Workflow of an entity gap analysis

1. Define the topic area — for example "GEO optimisation" or "backlink building".
2. Identify the top three competitor websites for the most important money keywords.
3. Run named entity recognition (NER) across the competitor texts — this lists all named entities (people, tools, concepts) per competitor.
4. Analyse your own website using the same NER process.
5. Calculate the difference — entities that appear with two or more competitors but are missing from your own site.
6. Prioritise — check search volume and topical relevance for each entity.
7. Extend the content — add a short explanation for each gap entity in the appropriate article, with Schema.org sameAs markup where suitable.

What entity gaps look like in practice

• Tool gaps — competitors mention 8 related tools, your own page only 3.
• Concept gaps — best practices that every competitor addresses and yours does not.
• People gaps — industry experts or authors whose studies are cited.
• Method gaps — specific frameworks or algorithms that have become standard.
• Update gaps — new terms that have emerged since the last content update.

Entity gaps as a GEO lever

Entity gap analysis has a twofold effect in the GEO context. Classic SEO benefits from a stronger semantic topic profile (better long tail rankings, higher topical authority). GEO benefits from a higher likelihood of citation — when a user asks ChatGPT about "tool X for task Y", the LLM selects the sources that paint the most complete picture. A source that mentions 4 out of 5 relevant tools is preferred over one that mentions only 2 out of 5, even if the individual tool comparison goes deeper.