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InLinks is the first entity-based Semantic SEO tool. It uses a proprietary semantic analyzer and knowledge graph to deliver expert-level data for on-page and on-site optimization.
InLinks lets you enter a new world: Entity-based SEO.
Entities (or "named entities") are machine-readable topics and concepts, such as persons, places, organizations, generic products, etc. Each entity can be seen as a cluster of synonyms keywords.
For a more detailed explanation about entities and how Google process them, you can have a look at our Google NLP industry reports.
When you create a new project, InLinks first performs a semantic analysis of your content to retrieve all entities found. This list of entities can be seen on the "graph" page and are used for internal link & schema automation, and to provide you with detailed guides on how to optimize your content
A target page is an important page of your website which drive conversion or traffic. A target page is typically critical for your site's visibility or business. To enable internal links and semantic schema automation, you need to associate at least one target entity to each of your target pages.
More information: How to associate target entities to target pages
The content tool analyze the SERPs results using our semantic analyzer and build a knowledge graph of your competitors to uncover how you should write new content or optimize your existing one. It also computes different factor such as user intent, serps orientation, semantic density, all of this being entity-driven.
We're using the Google Search API for a specific language and market to retrieve the SERPs results. Paid users have the ability to change the SERPs results and add their own custom competitor's pages using the "change" button in the SERPs tab.
A good content score is around 80-90%.
InLinks only built in-text internal links in your text paragraphs, taking context into account. Each time InLinks detects a potential internal link, the tool builds it using synonyms and text fragments as anchor texts. Additionally, you can either select a flat link architecture or a silo architecture.
Semantic schema is a great way to connect the dots between web page content and machine-readable data Google can interpret. The semantic schema takes important words from your text, disambiguates them and connects them with their corresponding (machine-readable) entities. It contains 2 sections: one (Schema.org/about) for the primary topics of your content, one (Schema.org/mentions) for secondary topics.
In addition to the semantic schema, InLinks also automates FAQ Schema markup, enabling FAQ rich snippets in search engine results pages.
Yes. As you can check using the Google Structured Data Testing tool, any webpage can hold several schema markups, even similar ones. All of these schemas complement themselves. So if your site currently has schema markups for Organization, LocalBusiness, Articles, Breadcrumb or others, no need to rip out your plugins and loose your existing schemas, just install our JS code to complement them.
Yes, the InLinks code is CMS agnostic. It can work with any CMS as long as you're able to add a line of code either in the header of footer of your pages.