Squin Research 
By the end of this article you’ll have a queryable Neo4j graph populated from Wikidata, multilingual entity labels, n-hop semantic neighborhood traversal, and a custom RDF ontology connected to published JSON-LD. The pillar on semantic SEO covers why entities matter and how Google’s Knowledge Graph processes them – read that first if you want the … Read more
Google NLP API SEO work comes down to one question: which entities does Google’s own NLP stack extract from your page, and with what salience? The Cloud Natural Language API answers that in a JSON response – complete with entity types, Knowledge Graph MIDs (Machine Identifiers), and Wikipedia URLs. This guide covers the full practitioner … Read more
Traditional link building optimizes for domain authority. Entity-based link building optimizes for something different: how confidently Google can connect your site to a specific entity in its Knowledge Graph. That confidence doesn’t come from anchor text ratios or PageRank flow. It comes from entity salience – how prominently your target entities appear in the content … Read more
E-E-A-T doesn’t live on pages. It lives on entities – the Person, Organization, or Brand behind the content. Google evaluates trust for the entity, then applies that trust to everything that entity publishes. A page doesn’t earn E-E-A-T on its own. The entity behind it does. This article covers the structured data signals that connect … Read more
When GPTBot, ClaudeBot, and AppleBot crawl your content, they’re parsing HTML you wrote for browsers. Most of what they consume is layout markup, navigation chrome, cookie banners, and styling – not the prose they need to ingest. Cloudflare’s Markdown for Agents feature solves this with HTTP content negotiation: agents send Accept: text/markdown, Cloudflare returns a … Read more
An entity map is a structured graph of entities and their relationships, scoped to a single topic domain. You build one to plan content coverage, guide internal linking, and generate the about and mentions signals in your Article schema markup – the properties that tell Google which entities your content covers. This guide walks through … Read more
A semantic SEO audit answers five questions about your content. Do your pages target the right entities? Does Google’s NLP agree with your intent? Do your claims form machine-readable triples? Does your site cover the topic cluster deeply enough? Does your schema match what the NLP actually extracts? The semantic SEO guide covers why entity … Read more
The Rich Results Test checks one URL. Google Search Console reports aggregate errors. Neither gives you a crawl-level view of every schema type, every @id reference, and every validation failure across your entire site. Screaming Frog does. This guide covers configuration, the built-in Structured Data tab’s filtering and issue categorization, bulk validation via Google Rich … Read more
Surfer SEO and Clearscope they don’t do the same thing. They look similar – both give you a content editor, both score your writing, both claim to use NLP. But they run different engines, model relevance differently, and produce scores that aren’t interchangeable. Most comparisons skip this and jump to pricing tables. Here you’ll get … Read more
Disclaimer: If you purchase InLinks through links on this page, we may earn a commission. Our recommendations are based on independent technical testing. InLinks automates three things most SEO tools treat as separate workflows: internal linking, JSON-LD schema injection, and entity-based content optimization. One JavaScript snippet handles all three. Our Inlinks review tests what the … Read more