Semantic gap analysis identifies which entity attributes, subtopics, and co-occurring concepts are missing from your content, not which keywords you forgot to include. Run a keyword gap tool and you get a list of queries your competitors rank for that you do not. Run a semantic gap audit and you get something more useful: a […]
A Knowledge Panel audit compares four signals side by side, your Entity Home, your Wikidata record, your on-page schema, and the Knowledge Panel Google currently displays, then identifies which corroboration gaps are stopping Google from raising its confidence in your entity. The Claude Code workflow below runs that comparison in one session using parallel subagents,
Information gain is Google’s measure of how much new, original knowledge a piece of content adds to the existing web. Not freshness. Not length. Not keyword density. The question Google’s systems ask is whether your page says something that the other pages ranking for this query do not. The March 2026 core update confirmed this
Before Google can cite your page in AI Overviews, surface your Knowledge Panel, or give you entity-level authority on a topic, it has to be certain about something more basic: that it knows which entity you are. Not just that a “Michael Cortez” exists somewhere on the internet – but that the Michael Cortez writing
Entity Disambiguation and Knowledge Graph Entry: How to Teach Google Exactly Who You Are Read More »
Entity co-occurrence is one of the least talked-about ranking signals in SEO, and one of the most measurable. When Google repeatedly sees two entities appear together across thousands of web pages — “fence contractor” alongside “HOA approval,” or “mortgage broker” alongside “debt-to-income ratio” – it learns that those concepts belong together. Pages that cover a
How to Map Entity Co-Occurrence Gaps with Claude Code (2026) Read More »
