Semantic SEO: Entities, Topics and a Method
Semantic SEO in practice: optimizing for entities, topics and relationships instead of strings, with an entity-list method, a coverage matrix and schema markup.
Knowledge panels, sameAs, Wikidata and the graph that tells engines who you are.
18 articles, newest first
Semantic SEO in practice: optimizing for entities, topics and relationships instead of strings, with an entity-list method, a coverage matrix and schema markup.
E-E-A-T from Google's rater guidelines: what each letter means, why it is not a ranking factor itself, and how to show experience and trust on your pages.
Plain-English definitions of 56 AI search terms, from AEO and query fan-out to grounding, RAG, sameAs, and share of model, with links to full guides.
Service schema explained: what the Service type does and does not do, the properties that matter, a copy-ready JSON-LD template, and the common mistakes.
ChatGPT or Gemini describing your company wrongly? How to tell whether the error comes from memory or retrieval, find the source, and fix it for good.
If a Knowledge Panel already exists for your brand, claiming it gets you verified suggestion rights. The exact steps, what it does, and its limits.
If your brand name is shared with another company or a place, engines may never resolve you cleanly. How to spot a collision and separate yourself.
sameAs tells engines which external profiles are the same entity as you. What belongs in it, what does not, and why a short verified list wins.
A Google Knowledge Panel is the information box shown beside search results for a recognised entity. What triggers one, what it isn't, and who controls it.
Wikidata feeds Google's Knowledge Graph directly, which makes it valuable and tempting to game. What it does, the rules, and why shortcuts backfire.
AI engines trust what others say about you more than what you say. Here's why third-party mentions drive citations, and how to earn them deliberately.
Multimodal AI reads your images directly, not just your alt text. What that changes about filenames, captions and ImageObject markup.
How to get a Google Knowledge Panel: the step-by-step entity work that triggers one, what it costs, how long it takes, and what to do if none appears.
Which schema types matter for AI search: Organization, WebSite, BreadcrumbList, Article, Person, Service and FAQPage, what each does, and how to prioritize.
A knowledge graph optimization checklist: the prerequisite most guides skip, nine ordered steps, a priority table, and how to verify progress over months.
Person schema turns a byline into an entity: the properties that matter, a full example, what a real author page needs, and the mistakes that split identity.
Organization schema explained with a full example: the properties Google uses, the stable @id pattern that connects your graph, validation, and mistakes.
Entity SEO explained: what a brand entity is, why AI models think in entities, and how to make yours unambiguous so search engines trust and cite it.
Every engagement starts with a free visibility audit, so we agree on the baseline before anyone writes code.